Senior Predictive Analytics Scientist Jobs in Hyderabad

Senior Software Development Engineer in Test (SDET) QA Location: Hyderabad, IN Employment Type: Full-Time Department: Engineering Role Overview We are seeking an experienced and pragmatic Senior SDET to elevate our testing practices and ensure the reliability and efficiency of our cutting-edge data management, governance, and analytics software at Internet scale. Your work will directly empower decision-makers to leverage data for impactful community improvements. This role requires a hands-on tester with a strategic mindset, able to balance manual exploratory testing with automation and continuous process improvements. You will work closely with product owners, developers, QA teams, and release managers to champion quality throughout the software lifecycle. Key Responsibilities Review and enhance test strategies, plans, and coverage to identify and mitigate risks based on product requirements. Develop and maintain automated test suites, harnesses, and test applications. Collaborate with QA teams and partners to understand system specifications and recommend testability improvements. Enhance CI/CD pipelines with automated testing and scripting to ensure seamless continuous delivery. Partner with developers, product managers, and analysts to ensure testable requirements and robust quality. Drive testability and diagnostics integration into products for faster troubleshooting. Share automation testing best practices and tools across teams. Participate in peer design/code reviews and Agile scrum ceremonies. Perform exploratory/manual testing as needed to support releases. Adhere to coding standards and software development lifecycle processes. Required Qualifications Master s degree in Engineering or a Bachelor s degree with 4+ years of professional software engineering/testing experience. Proficiency in at least one programming language: .NET, Python, or Java. Experience testing enterprise-level applications and systems. Strong background in API testing and automation frameworks/tools. Experience with Jenkins and building/maintaining CI/CD pipelines. Proven expertise in QA processes including test planning, execution, defect tracking, and release management. Hands-on experience with Agile methodologies and sprint ceremonies. Skilled in developing high-quality test automation frameworks. Familiarity with tools like Mocha, Jasmine, JIRA, GitHub, and GitLab. Experience testing cloud applications on Azure, AWS, and on-prem environments. Knowledge of security testing and static code analysis tools. Proficient in querying relational databases and working with complex schemas. Deep understanding of software quality assurance methodologies integrated with SDLC. Work on innovative, impactful data software at Internet scale. Collaborate with a talented global engineering team. Opportunity to influence testing strategies and automation best practices. Dynamic, growth-oriented environment fostering continuous learning. Qualification : Masters degree in Engineering or a Bachelors degree with 4+ years of professional software engineering/testing experience.

Job Title: Senior Delivery Manager Company: Kanerika Inc. Job Location: Hyderabad, India Reports to: Co-founder; Head of Delivery About Kanerika Kanerika Inc. is a premier global software products and services firm specializing in innovative solutions for data-driven enterprises. Co-founded by Wharton Business School Alumni, we empower businesses to achieve their digital transformation goals and maximize business impact through effective data utilization. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that optimize operations, enhance customer experiences, and drive growth. Awards and Recognitions: Best Place to Work 2022 by Great Place to Work Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today Frost & Sullivan India 2021 Technology Innovation Award for its Compass composable solution architecture Recognized for commitment to customer privacy and data security, with ISO 27701, SOC2, and GDPR compliances. Working for Us: Kanerika is rated 4.5/5 on Glassdoor for many good reasons. We truly value our employees' growth, well-being, and diversity. We offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. Our inclusive hiring practices, mandatory training on creating a safe work environment, flexible working hours, and generous parental leave prioritize employee well-being and success. Our commitment to professional development is evident through mentorship programs, job training initiatives, and support for professional certifications. Company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. Role Kanerika is seeking a highly skilled and motivated Senior Delivery Manager to join our dynamic team. Reporting directly to the Co-founder & Head of Delivery, you will be responsible for project deliveries across multiple domains and customers. You will provide hands-on expertise in the full software development lifecycle, from concept and design to testing, using agile methodology. Ideal candidates are proactive, have successfully managed customers and software deliveries, are go-getters, and are motivated to add value to job accomplishments. Locations: Austin (USA), Singapore, Gurugram (India), Ahmedabad (India), and Hyderabad (India). We are looking for you! As an ideal candidate for the Senior Delivery Manager position, you are a team player with a get-it-done attitude. Your intellectual curiosity and customer focus drive you to continuously seek new ways to add value. You thrive under pressure, maintain a positive attitude, and are willing to make choices that support your growth. You possess excellent communication skills, both written and verbal, and have a proven ability to create visually compelling designs that effectively communicate our core values and build high-performing, scalable, enterprise-grade applications & teams. Your creativity and proactive nature enable you to think differently, find innovative solutions, deliver high-quality results, and ensure customer referenceability. You have a strong sense of self-motivation and take ownership of your responsibilities, preferring to work independently with minimal supervision. You are process-oriented, have a methodical approach, and demonstrate a quality-first approach. You have successfully led mid to large-size teams and accounts. You consistently use constructive feedback mechanisms to improve team productivity, accountability, and performance. Your track record showcases your results-driven approach, consistently delivering success with published customer case studies. Overall, you possess a unique combination of skills, qualities, and experiences that make you an ideal fit to lead our delivery team(s). You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. You should be driving a team using data, data & data. This includes managing the number of teams, agile stories and their statuses, handling escalations/mitigations, planning ahead, identifying hiring needs (working with recruitment teams), enabling sales (with pre-sales teams), monitoring solutioning/delivery statuses (with dev managers/leads), and researching technologies/solutions (with architects). What you will do Manage project teams working on multiple technologies across data integration, automation, and analytics. Be the technology champion for customers and the single point of contact for delivery and accounts. Provide significant contribution to developing Technology Center of Excellence (COE) and best practices. Leverage business acumen and subject matter expertise. Work across the organization and maintain/build strong working relationships. Prioritize and plan complex tasks, delivering with consistent updates without follow-ups. Participate in management meetings and present high-level achievements, challenges, and roadmaps. Articulate well for growth and mitigate customer escalations. Work with project teams to implement best development practices and pay attention to details on design, technologies, and pitfalls. Ensure quality and transparency are built at every level. Mentor, direct, and coach your direct reports to be better leaders and successful technologists. Implement organizational policies consistently across your teams and identify star performers. Proactively communicate for every aspect of your influence (i.e., Projects, employees, customers, opportunities, performers, etc.). Collaborate with and contribute to other functions for the success of the company. Implement and improvise processes that are data and goal driven. Requirements Wh...

Job Title: Senior Full Stack Engineer Locations: Hyderabad, Ahmedabad, Indore (India) About Kanerika Kanerika Inc. is a global leader in software products and services, specializing in delivering innovative solutions to data-driven enterprises. With operations in the U.S., Singapore, and India, we empower businesses to drive digital transformation and maximize impact through the intelligent use of data and technology. Our Recognitions: Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan (Kompass Architecture) ISO 27701, SOC2, and GDPR Compliant Committed to security and privacy At Kanerika, we cultivate a collaborative, inclusive, and growth-oriented culture that values innovation and professional development. We believe in fostering an environment where your work matters and your contributions create lasting impact. Role Overview We re expanding rapidly in the Integration and Analytics space, and we re looking for an experienced Senior Full Stack Engineer to join our high-performing team. You will work closely with global clients, primarily in the logistics domain, helping design and deliver scalable, performance-driven enterprise applications. The ideal candidate has deep expertise in Node.js, React, and full-stack JavaScript development, and is passionate about clean code, robust architecture, and efficient development practices. What You ll Do Full-Stack Development: Build and maintain both front-end and back-end components of complex web applications. Collaboration: Partner with UI/UX designers, backend engineers, DevOps, and business stakeholders to create integrated solutions. Code Quality: Write clean, maintainable, and well-documented code using best practices and modern frameworks. Testing: Perform unit, integration, and end-to-end testing to ensure application stability and performance. Continuous Improvement: Stay current with new technologies, and suggest enhancements to existing architecture and workflows. Documentation: Maintain clear and concise technical documentation for systems and codebases. What You ll Bring 8+ years of professional experience as a Full Stack Developer. Deep hands-on knowledge of JavaScript, with advanced expertise in Node.js and React.js. Proficient in using version control tools, particularly Git, and collaborative workflows (pull requests, code reviews). Strong front-end skills, including responsive design and mobile optimization. Experience with SQL databases, particularly PostgreSQL, and good understanding of database design principles. Familiarity with CI/CD pipelines, automation tools, and agile methodologies. Solid understanding of testing frameworks and best practices for frontend and backend testing. Nice-to-Have Skills TypeScript for type-safe development. GraphQL experience with APIs using GraphQL. Security & Performance Optimization best practices for production-grade apps. Architectural Patterns experience designing scalable, maintainable architectures. Familiarity with modern open-source tools and libraries. Strong analytical and multitasking skills. At Kanerika, we support your growth, value your ideas, and provide an environment where innovation thrives. Employee Benefits Culture Open Door Policy & Open Office Environment Flexible Working Hours Biannual Performance Reviews Employee Referral Bonuses Diversity & Inclusion Inclusive hiring practices Mandatory POSH (Prevention of Sexual Harassment) training Health & Wellness Health Insurance (GMC), Term Insurance & Disability Cover Family & Parental Benefits Generous Parental and Family Medical Leave Company-Sponsored Family Events Time Off & Perks Generous Paid Time Off, Sick Days & Holidays Company Outings, Gratuity, and Provident Fund Bereavement Leave Learning & Development Access to FLEX Enterprise Learning Repository Mentorship Program & Job Training Certification Reimbursements Internal Promotion Opportunities Be part of a team that s building the future of data, integration, and intelligent enterprise solutions. At Kanerika, your talent is recognized, your growth is prioritized, and your work makes a real difference.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.

Job Description Responsibilities We have a fantastic opportunity for an experienced Data Analyst join our global Data Transformation team. This role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to deliver outcomes in a host of key areas to maximise business value and growth delivering improvements for internal and external stakeholders and clients. In this role, you will drive requirements gathering and deliver appropriate solutions aligned with project goals. You will document functional designs, implement proper controls around business requests, and collaborate globally on Data Platform Data Services design initiatives. The role involves identifying and documenting system gaps and enhancements, working cross-functionally with IT teams to deliver high-quality solutions, and continuously seeking process improvements. Success requires quick adaptation to understand both client and internal stakeholder needs, ensuring efficient delivery of business requirements. Experience (what does the role do on a day-to-day basis) Experience of coding in programming languages such SQL (required), Python (required), Java and Excel VBA. Data analysis experience, database administration knowledge, data mining and manipulation. Proficient in MS Excel with a working knowledge of Excel VBA. Comfortable using APIs, SQL query writing, report development / BI tools (Crystal, SSRS, SSIS, Tableau). Experience of writing technical documentation and presenting information clearly to senior stakeholders. Knowledge of the funds industry and accounting knowledge beneficial. Working in global environment. Key behaviours we expect to see In addition to demonstrating our Group Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Communicates Effectively Adjusting communication style to fit the audience & message. Providing timely information to help others across the organisation. Encourages the open expression of diverse ideas and opinions Action Orientated Readily taking action on challenges without unnecessary planning and identifies new opportunities, taking ownership of them Interpersonal Savvy Relating comfortably with people across all levels, functions, cultures & geographies. Builds rapport in an open, friendly & accepting way An analytical mind, excellent problem-solving & diagnostic skills, attention to detail Qualifications Required Experience Education / professional qualifications Bachelor's degree in computer science or another technical field 8-10 years of experience in a Data Analyst capacity Background in Financial Industry preferable in the Alternative Asset management domain Experience with Investment management accounting system such as Investran, Paxus, Efront etc preferrable Background & Technical experience Knowledge of BI, Data and Analytics Knowledge of programming languages, SQL, Python, Knowledge of Excel Formulas Excellent analytical and numerical skills. Strong problem solving and conceptual thinking. Other company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Possess the skills and the personality to operate effectively in a very fast-paced complex global business with an in-depth knowledge of program management Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary Strong analytical and troubleshooting skills. Ability to investigate and analyse information, and to draw conclusions. Ability to meet and adhere to internal and external deliverables whilst maintaining an exceptionally high standard. Languages Must be fully proficient in spoken and written English, additional European languages will be an asset Qualification : Bachelor's degree in computer science or another technical field

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Job Title: BI (Tableau) Developer Location: Hyderabad Department: Business Intelligence Employment Type: Full-Time, Permanent Role Overview: As a BI (Tableau) Developer, you'll turn raw data into compelling visual stories that help drive decision-making. You will collaborate closely with clients, create stunning dashboards, and lead end-to-end BI projects. If you're passionate about transforming data insights into actionable strategies and thrive in a dynamic, consulting-driven environment, this role is for you. Key Responsibilities: End-to-End BI Implementation: Manage the full BI lifecycle, including data modelling, report building, delivery, and post-implementation support. Create visually stunning Tableau dashboards and reports that provide business insights. Write efficient SQL queries to extract, transform, and analyze data for visualizations. Tableau Development: Design, develop, and maintain interactive Tableau dashboards that are both engaging and functional. Ensure data visualization best practices are followed, ensuring dashboards are intuitive and actionable. Business Knowledge & Collaboration: Work directly with clients to understand their business needs and translate them into impactful BI solutions. Provide data-driven insights that enable clients to make informed decisions. Cross-Tool Integration: Experience with other BI tools like Power BI or Qlik Sense is a plus, allowing for versatile solutions across platforms. Qualifications: Experience: 5+ years in Business Intelligence, specifically focusing on Tableau development and SQL. Strong understanding of data visualization best practices and BI architecture to ensure high-quality, actionable reports. Proven ability to implement BI solutions for complex business scenarios, driving real-world impact with data-driven insights. Ability to tackle challenges with a proactive, solutions-oriented mindset. A track record of delivering projects with enthusiasm and drive, even in fast-paced environments. Ability to mentor and collaborate, contributing to a positive and innovative team dynamic. Creative thinker: Always looking for new ways to leverage data to drive business strategies. Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise. Dynamic Career Growth: A vibrant environment that offers opportunities for rapid growth, mentorship, and development. Idea Tanks: A platform for you to pitch, experiment, and collaborate on ideas that shape the future. Growth Chats: Casual, insightful discussions with peers to foster learning and skill development. Snack Zone: A variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Regular shoutouts and rewards for your great work, making your contributions celebrated. Fuel Your Growth Journey with Certifications: Blend supports your personal and professional growth by covering the cost of certifications. If you are passionate about Tableau, data visualization, and transforming data into insights, apply today to join an innovative, collaborative team at Blend!

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

Description The CSG Strategy & Analytics Senior Manager professional will play a crucial role in supporting the explosive growth of Salesforce. This role is a hybrid of traditional jobs in strategic planning, renewals strategy, business operations, reporting, and analysis requiring a mix of market analysis, renewals analytics, and business operational support. This role is part of a high-performance team comprised of professionals from a diverse set of backgrounds and skills. Success in this role means assisting the Renewals team to drive the continued success of Salesforce by supporting our customer success strategy and will play a pivotal role in driving the growth of Salesforce's Renewals. Sample projects range from the strategic to the very operational including evaluating growth opportunities, business planning, customer segmentation, dashboard creation, automation of processes, and regular review of key performance metrics. As a people manager, this role will lead a team of versatile analysts and senior analysts, fostering a collaborative and high-performing environment. The deliverables include detailed analytic models, custom performance analysis, building scalable reporting, ensuring robust data governance, and packaging findings into presentation-ready content for Salesforce executives. The role requires interaction with various areas of the organization and provides exposure to senior executives. Additionally, this role will serve as a key partner to the data engineering contacts based in India to ensure a comprehensive data strategy for the evolving business. We are seeking a strategic thinker who can effectively balance detailed analysis with a comprehensive understanding of broader business objectives. The ideal candidate will possess the ability to synthesize complex data and insights into clear, actionable strategies that align with our overarching goals. Responsibilities: Lead and manage a group of Analysts, Senior Analysts and Managers in their growth and understanding of the business. This includes offering guidance on complex projects, sharing industry insights, and supporting their development of critical skills necessary for success in their roles Deliver recommendations and insights that support senior stakeholders (VPs and SVPs) in managing their KPIs Act as the primary point of contact for data engineering teams based in India, ensuring a robust data strategy roadmap that aligns with the evolving needs of the business. Collaborate closely with engineering contacts to implement best practices in data management, governance, and integration. Understand the underlying data architecture supporting the Renewals business, and how to use it to report on business performance and forecast results. Assist in developing and delivering presentations for senior executives to engage with their leaders or counterparts Identify and optimize the true drivers of financial performance, productivity, customer engagement, and other metrics Lead the development of Business Intelligence (BI) dashboards for use by global leaders and field teams in the CSG Renewals group and broader Customer Success Group Spearhead initiatives to automate reporting processes, enhancing efficiency and accuracy. Develop and implement automated reporting solutions that provide timely and actionable insights, reducing manual effort and enabling the team to focus on strategic analysis. Desired Skills/Experience: 7+ years of experience in renewals/sales analytics, business intelligence, or a related field. 4+ years of experience in managing and leading teams, with a proven track record of fostering a collaborative and high-performing environment. Demonstrated experience in dealing with data governance, including the implementation of best practices for data quality, security, and compliance. Self-starter and a high degree of motivation to go above and beyond the task at hand Bachelor s degree in the quantitative field from an accredited university. MBA or Masters in a technical field a plus Proficiency with SQL and Tableau (or a similar data visualization tool). Python and/or R a plus Valuable work experience focused on quantitative analysis, Excel, and logical reasoning Experience creating BI dashboards and assets end-to-end; from initial scoping, data wrangling, asset creation, deployment and enablement Familiarity with CRM and data management Strong communication skills; both written and verbal Team player able to lead and work effectively at all levels of an organization with the ability to influence others to move toward consensus Strong situational analysis, negotiation, and decision-making abilities. Detail and quality-oriented with the desire to quickly learn new concepts, business models, and technologies Qualification : Bachelors degree in the quantitative field from an accredited university. MBA or Masters in a technical field a plus

Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.

Overview The Web Experiences Team (WebXT) at Microsoft is accelerating innovation to enable engaging web experience products for every person. Our team uses latest NLP deep learnt models to prepare Grounding data for our Copilot efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team. We are looking for a Data & Applied Scientist IIwho is excited to work on ML/DL models capable to work at internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works. As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office. We would like you to get a peek into our culture on Instagram (@lifeatstci) and below is more about this job and what we are looking for. Happy applying! Visit us at https://aka.ms/STCI Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Additional or Preferred Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electricalor Computer Engineering, or related field 3+years of professional experience applying Deep learning, Machine Learning concepts in real world applications. Research and/or development experience with machine learning, NLP and data mining. Experience in architecting, developing, and delivering advanced NLP projects. Responsibilities Your responsibilities include: Developing novel machine learning and data mining algorithms. Designing and developing solutions that respond in real time. Build data quality checks and re-usable modules for the training. Host ML models with production-ready code. Designing and executing offline/online experiments. Advancing the state of the art of NLP technologies for real world scenarios. Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages. Qualification : Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

Job title: Senior Analyst Forecasting & Analytics Location: Hyderabad About the job Sanofi Global Hub (SGH) is an internal Sanofi resource organization based in India and is setup tocentralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, andR&D, Data & Digital functions . SGH strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, andCommercial organizations in Sanofi, globally. Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making that will allow us to tackle some of the world s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Forecasting and analytics deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavour, we are seeking a dynamic talent for the role of Senior Analyst Forecasting & Analytics It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation across different functions. Job Summary Main Responsibilities: People: Maintain effective relationship with the stakeholders (Country & Cross border Teams) within or cross GBUs and tasks with an end objective to develop educational and communication content as per requirement. Actively lead and develop SGH operations associates and ensure innovative technologies are leveraged. Initiate the contracting process and related documents within defined timelines; and Collaborate with global stakeholders for project planning and setting up the timelines and maintaining budget. Performance:Support forecasting activities (pre and post forecasting), including updating TM1 PAFE (excel based) models, testing data push to TM1. Creating complex TM1 Planning analytics reports Quick, Dynamic, and customized. Test and validate report working in TM1 web. Largely working on creating/updating TM1/Planning analytics views, using MDX to create subsets for views, working with Production support to create ad hoc Turbo integrator processes, Writing business rules. Define and evaluate reporting and analytics needs at the individual country level or market level while enhancing solutions. Design TM1 dimensions, attributes, aliases, cubes for new markets/products additions and ready to launch products thus evolving the existing TM1 application. Oversee monthly actuals load process, validate the data. Work with production team to deploy solutions. Integrate new data sources with TM1. Streamline and optimize forecasting collection and submission process. Refresh Existing Reports and identifies improvement opportunities in reporting and BI tools and as needed structure / functionality with the latest insights as they become available. Collaborate with Digital teams to enhance data access across various sources, develop tools, technology, and process to constantly improve quality and productivity. Create robust forecast models and dashboards taking into consideration key data, insights, trends, and assumptions around patient flow, market dynamics, competitive landscape, payer mix, supply chain inventory fluctuation, etc. Evaluate and maintain existing forecast models; identify and prioritize areas for improvement to iteratively improve function over time. Refresh forecast model assumptions and as needed structure / functionality with the latest insights as they become available. Process:Identify and interpret business needs, analyse, and prioritize the requirements, write functional specifications, design, and analyse data, identify gaps, and provide business requirements and expectations feedback. Support delivery of projects in terms of resourcing, coordination, quality, timeliness, efficiency, and high technical standards for deliveries made by the business teams. Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards Refresh report on frequency/cycle basis (weekly/monthly/quarterly/annually), along with QC checks for each refresh Use latest tools/technologies/methodologies and partner with internal teams to provide support on all sort of regular and ad hoc business analytics activities like build, maintenance, and enhancements of such systems. Ability to work cross-functionally, gather requirements, analyse data, and generate insights and reports that can be used by the GBU. Support delivery of projects in terms of resourcing, coordination, quality, timeliness, efficiency, and high technical standards for deliveries made by the business teams. Stakeholder:Work closely with global teams and/ external vendors to ensure the end-to-end effective project delivery of the designated deliverables. About you Experience: 4+ years of experience in pharmaceutical product commercial forecasting and analytics. In-depth knowledge of common databases like IQVIA, APLD, Engagement and execution data. Soft Skill & Technical Skills: Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills a must; Team pla...

Job title: Data Scientist Location : IN / Hyderabad About the job An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials. The D ata Scientist (DS) is responsible for setting up and refreshing the RBM application for assigned studies, ensuring a seamless data flow, and configuring the system to meet RBM specifications and industry standards. You will work closely with Central Monitors and study Lead DS together to delivery RBM activities. If you are passionate about leveraging data to drive excellence in clinical trials, this is the opportunity for you. Main responsibilities: Data Extraction and Processing:Extract data from various systems and ensure it is preprocessed correctly, supporting the accuracy and reliability of our monitoring processes.. Dashboard Management:You will be in charge of setting up and updating KRI, DQA, QTL, and SPOT dashboards with precision and within the set timelines, adhering to established processes and standards. Script Execution and Updates:Execute SAS or Python scripts, updating parameters as required to meet the specific needs of each study. Collaborative Problem Solving:Provide a clear explanation of results and signals, working closely with Central Monitors and Lead Data Scientists to deliver effective RBM activities. About you Experience: Experience in a Clinical Research environment (CRO or Pharma). Experience in clinical data programming (SAS, Python, R, ) Soft and technical skills: Learns and adapts quickly when facing new problems. Think critically and use rigorous, objective, and pragmatic methods to solve multidimensional problems with effective and timely solutions. Good at SAS programming skills, it s better be able to develop from scratch. Execute Python script with updating parameters based on studies. Understand clinical trial-related documents with basic clinical knowledge, e.g., Protocol, SDS, CRF. Good interpersonal, communication, and negotiation skills (verbal and written). Able to acquire and apply new technical skills. Education: Bachelor s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences) Languages: Strong English skills (verbal and written), ability to exchange fluently in a global environment. Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks gender-neutral parental leave. An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team A team that drives the innovation of the monitoring activities that align with future need W e believe that a Data Scientist is not just a job title; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. You are the architects of our data-driven future, equipped with the latest technologies and a supportive environment that fosters growth and collaboration. Qualification : Bachelors degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences)

Director UI/UX Design (User Experience Leadership) | Salesforce Hyderabad, India Full-Time | Design & User Experience | India Hyderabad Lead the Future of Enterprise Design at Salesforce We re looking for a seasoned design executive and product strategist to lead high-impact design teams focused on building intuitive, intelligent, and engaging user experiences. You will drive the evolution of our next-generation AI-driven CRM and experience platform, redefining how users engage with data, automation, and digital workflows. What You ll Be Doing Lead and inspire a team of top-tier designers across multiple products and platforms Recruit, mentor, and retain world-class UI/UX talent Drive the strategic vision for user-centered design across the Salesforce digital experience platform Partner with cross-functional stakeholders in Product, Engineering, and Research to build high-impact user experiences Deliver cutting-edge AI-powered, agentic interfaces that use contextual data, smart assistance, and natural interactions to simplify workflows Champion design thinking and a systems-level approach to solving complex enterprise UX challenges Own the design execution from ideation to launch ensuring consistency, usability, and excellence at every touchpoint Utilize analytics, user research, and feedback to continually iterate and enhance product design Promote and enforce Salesforce Lightning Design System (SLDS) standards and reusable design patterns Key Qualifications 10+ years of experience designing innovative, user-focused digital products in high-performance environments 3+ years in a senior leadership or people management role within UI/UX or product design teams Proven success leading the full product lifecycle from concept and prototyping to final delivery Deep expertise in user-centered design methodologies, UX research, and interaction design Experience leading large-scale digital transformations in enterprise or SaaS environments Strong communication and influencing skills to align design vision across global stakeholders Comfortable working in agile, fast-paced, and collaborative environments Mastery of industry-standard tools like Sketch, Figma, Photoshop, Illustrator A passion for simple, elegant solutions to complex user problems Degree in Design, HCI, or a related field (or equivalent practical experience) Preferred Experience (Nice to Have) Expertise in design systems and UI frameworks Background in CRM, enterprise software, or complex data-driven platforms Familiarity with accessibility standards, responsive design, and mobile-first design principles At Salesforce, design is at the heart of everything we do. From shaping intelligent interfaces to creating cohesive multi-platform experiences, we empower designers to lead innovation. You ll be part of a global team working on products that help millions of users work smarter, connect deeper, and transform industries. We re proud to be consistently ranked among the Best Places to Work, offering a diverse, inclusive, and purpose-driven culture where designers thrive and grow. Apply now to join a team shaping the next era of enterprise user experience. Let s build what s next together. Qualification : Degree in Design, HCI, or a related field (or equivalent practical experience)

Operations Program Manager Customer Success (Hyderabad, India) Full-Time | Program & Business Operations | Salesforce Empower Operational Excellence. Drive Strategic Initiatives. Elevate Customer Success. Join Salesforce, the global leader in customer relationship management (CRM), as an Operations Program Manager and play a key role in shaping and executing global delivery programs that drive efficiency, scalability, and customer value. In this high-impact role, you ll be at the heart of business operations leading cross-functional initiatives, aligning with strategic goals, and ensuring operational excellence across the Professional Services Global Delivery Center (GDC). If you're a strategic thinker, a data-driven decision maker, and a collaborative leader with a strong foundation in business operations and program management, we want to hear from you. Location: Hyderabad or Bangalore, India Department: Customer Success / Professional Services Key Responsibilities Lead and manage strategic programs across Global Delivery Center (GDC) to support business growth, operational efficiency, and partner enablement Collaborate closely with stakeholders, sponsors, and cross-functional teams to define program scope, timelines, resources, and deliverables Plan and manage partner resource allocation for Cloud Practices, ensuring partner program objectives and KPIs are met Drive data-informed decisions through reporting, analytics, and insight generation to improve GDC performance Develop high-quality executive-level presentations to communicate program status, insights, and strategic direction Identify risks and dependencies early, implement mitigation strategies, and provide regular updates to senior leadership Continuously improve and optimize operational processes, ensuring program scalability and delivery excellence Coordinate with vendors and manage subcontractor-related program initiatives Advocate and support Agile/Scrum-based delivery models for improved cross-functional collaboration and execution Required Qualifications 10+ years of total experience in IT or related fields, with 5+ years in program management and business operations Strong hands-on experience managing business operations programs across multiple geographies or global delivery models Excellent analytical and problem-solving skills, with the ability to turn data into actionable insights Proven track record of successfully managing strategic initiatives with multiple stakeholders and cross-functional teams Advanced knowledge of Microsoft Excel for data analysis, modeling, and visualization Skilled in CRM tools experience with Salesforce CRM, Siebel, Clarify, Vantive, PeopleSoft, or NetSuite is a plus Familiarity with project management tools such as JIRA, MS Project, or similar platforms Strong communication and stakeholder engagement skills, including experience working with executive leadership Experience in driving continuous improvement and process optimization within business operations Preferred Qualifications Understanding of Agile methodologies and Scrum practices; experience as or with a Scrum Master is an advantage Experience managing external vendors or subcontractor programs PMP or Agile certification is a plus At Salesforce, we re on a mission to help businesses transform through innovation, customer success, and operational excellence. As part of our Customer Success organization, you ll be empowered to make a real impact, work with cutting-edge tools, and join a culture of collaboration, purpose, and continuous growth. Enjoy world-class benefits, including: Comprehensive well-being and healthcare coverage Generous parental leave, adoption and fertility support Ongoing enablement via Trailhead and leadership coaching Opportunities to give back through Salesforce s 1:1:1 philanthropy model Be a part of the team driving customer success at scale. Apply now to build a better tomorrow.