Predictive Analytics Jobs in Pune

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Solution Architect Location: Pune Experience: 10+ Years Job Type: Full-Time Profile Summary A highly skilled and experienced Solution Architect with over a decade in the IT service industry, specializing in designing and delivering comprehensive technical solutions across diverse domains. Expert in leading complex projects and aligning technology with business goals, leveraging cutting-edge technologies such as AI, cloud computing, and software development. Proven success in collaborating with cross-functional teams to architect scalable, secure, and efficient solutions for clients across healthcare, finance, real estate, and e-commerce sectors. Key Expertise Solution Design & Architecture: Architecting end-to-end scalable, high-performance, and secure solutions aligned with business objectives. Software Development: Expertise in full-stack development with React (frontend) and Python Django (backend), delivering enterprise-grade applications. AI Integration: Implementing AI-driven solutions including Generative AI, machine learning, and predictive analytics to automate processes and enhance decision-making. Cloud Architecture: Designing and deploying cloud solutions on AWS, Azure, and Google Cloud, with deep experience in migration, infrastructure design, and DevOps. Data Management & Analytics: Leveraging data management platforms and real-time analytics for business intelligence and audience targeting. Security & Compliance: Ensuring data security and regulatory compliance (HIPAA, GDPR) in solution designs. Experience Highlights AI and Generative AI Solutions Led design and implementation of AI-powered models for content generation, predictive analytics, and real-time decision-making in healthcare and finance. Integrated AI functionalities into business applications to improve operational efficiency and user experience. Cloud Solutions Design Architected cloud infrastructures optimizing cost, security, and performance across AWS, Azure, and Google Cloud. Directed cloud migrations and implemented cloud-native services including serverless computing, container orchestration (Docker, Kubernetes), and CI/CD pipelines. Full-Stack Software Development Led teams building scalable web applications using React and Python Django. Designed microservices and REST APIs ensuring seamless integration and optimized security. Data Management & Analytics Delivered data management platforms for audience segmentation in AdTech and e-commerce. Developed real-time bidding and programmatic advertising systems integrating advanced analytics. Telemedicine & Healthcare Solutions Designed secure, compliant telemedicine platforms integrating EHR systems, ensuring HIPAA and GDPR adherence. Developed patient data management systems focusing on security and regulatory compliance. Technical Skills Languages: JavaScript, Python, HTML/CSS, SQL, TypeScript Frameworks: React, Node.js, Django, Flask AI/ML: TensorFlow, PyTorch, GPT models, Generative AI, Predictive Analytics Cloud Platforms: AWS, Azure, Google Cloud, Docker, Kubernetes Data Management: PostgreSQL, MySQL, MongoDB, Data Lakes, DMPs Security: SSL, Firewalls, IAM, Data Encryption, HIPAA, GDPR compliance DevOps: Jenkins, Git, Docker, Kubernetes, CI/CD Pipelines Soft Skills Strong leadership and collaboration with cross-functional teams. Strategic thinker balancing innovation with business objectives. Excellent client engagement and communication. Problem-solving under tight deadlines with innovative solutions. Certifications AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) Certified in Generative AI Applications Microsoft Certified: Azure Solutions Architect Expert

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build innovative products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Growth Marketing Manager to lead Talentica s demand generation strategy through paid advertising and SEO. You will be responsible for executing multi-channel marketing campaigns, optimizing brand visibility, and driving high-quality leads to support our growth. Your expertise in performance marketing, organic growth, and team leadership will be key to scaling our marketing efforts and achieving impactful results. What You ll Be Doing: Develop & Execute Demand Generation Campaigns: Lead high-impact campaigns across platforms like Google Ads, LinkedIn Ads, and other paid channels to generate leads and increase conversions. Optimize SEO Strategies: Enhance organic traffic and improve Talentica s search visibility for key industry-related keywords. Manage the Marketing Funnel: Oversee the entire lead-generation funnel, ensuring consistent lead flow from both paid and organic efforts. Leverage Content Marketing: Collaborate on content creation, landing page optimization, and conversion rate optimization (CRO) to increase engagement and drive MQLs (Marketing Qualified Leads) & SQLs (Sales Qualified Leads). Brand Promotion: Increase brand awareness by promoting Talentica Software across various digital channels, including social media, industry forums, and content syndication platforms. Data-Driven Decision Making: Utilize insights from analytics to refine ad campaigns, reduce Customer Acquisition Cost (CAC), and improve ROI. Collaboration: Work closely with sales teams to ensure marketing efforts are aligned with pipeline growth goals and revenue targets. Agency & Vendor Management: Manage external agencies and vendors to ensure efficient campaign execution. To Be Successful in This Role, You Should Have: Qualification: MBA/PGDM in Marketing + Bachelor's degree in Engineering (mandatory). Experience: 8-10 years in marketing within IT services or software product companies, with at least 4 years in a leadership role. Essential Skills: Proven expertise in B2B demand generation, PPC advertising, and SEO strategies. Strong understanding of platforms such as Google Ads, LinkedIn Ads, GA4, and marketing automation tools like HubSpot. Experience in content marketing, thought leadership, and brand positioning. Analytical mindset with expertise in A/B testing, data interpretation, and performance tracking. Ability to collaborate cross-functionally with sales, engineering, and leadership teams. What You ll Find Here: Culture of Learning: We invest heavily in exploring new marketing tools and channels. At Talentica, you ll have ample opportunities to innovate and grow your skills. Endless Learning Opportunities: We don t limit you by your job description. If you have the drive, we ll support you in taking on new challenges and responsibilities. Performance-Driven Growth: Your growth at Talentica is governed solely by your achievements and contributions, not by your education or past employers. Work-Life Balance: We value your well-being and offer flexible work schedules and remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You ll love being a part of our team! At Talentica, we re not just about doing things the usual way. We think and do constantly pushing the boundaries of technology and marketing. If you re looking for a dynamic, "think and do" environment with ample room for personal and professional growth, Talentica is the place for you. Qualification : MBA/PGDM in Marketing + Bachelor's degree in Engineering (mandatory).

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and IITB alumni. At Talentica, we help startups build products by utilizing the latest tools and technologies to solve real-world challenges. For over 21 years, we ve worked with over 180 startups, mainly in the US, ensuring many successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India's Great Mid-Size Workplaces. What We re Looking For: We are seeking a Python + AI Developer passionate about building innovative AI solutions. If you have strong hands-on Python skills, experience developing cross-platform software, and an interest in AI, cloud platforms, and security, you could be the perfect fit for our team! What You ll Be Doing: AI Platform Development: Develop and maintain the cutting-edge platform that powers the next-generation AI Agent stack. Innovation: Contribute to the AI Agent stack by utilizing open-source technologies like LangChain. Customer Focus: Drive outcomes from customer needs to production, ensuring that the value is delivered efficiently. Security: Keep the platform secure by addressing vulnerabilities through tools such as GitHub security scanner, Black Duck, and virus scanners. Code Quality: Participate in code reviews, testing, and debugging to ensure reliable and efficient products. To Be Successful in This Role, You Should Have: Qualification: BE/BTech in any branch from top institutes like IIT, NIT, BITS, VJTI, COEP, or similar. Experience: 5-7 years of relevant experience in Python development with AI exposure. Technical Skills: Proven experience in cross-platform software development. Hands-on expertise in Python. Understanding of software deployment and distribution systems (e.g., npm, Homebrew, Chocolatey, CI/CD systems, PyPI, Conda). Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong knowledge of software security practices and tools. Good-to-Have Skills: Experience building AI agents. Familiarity with React and TypeScript. Knowledge of security, governance, and enterprise compliance. Familiarity with developing for Windows platforms. Passion for creating a great developer experience and thorough documentation. Soft Skills: Strong problem-solving skills in fast-paced, results-oriented environments. Effective communication and the ability to work well in a distributed team. Passion for continuous learning and staying up-to-date with industry trends. What You ll Find Here: Culture of Innovation: We focus on creating groundbreaking solutions for our customers. At Talentica, innovation is at the core of everything we do. Endless Learning Opportunities: Grow your skillset by applying the latest advancements in your field to build better, faster, and simpler products. Talented Peers: Work alongside some of the best engineers from India s top institutes, including IITs, NITs, and select other prestigious colleges. Flexibility: We offer flexible work schedules and remote work options to support a healthy work-life balance. Great Culture: 82% of our employees recommend us to their friends, according to Glassdoor. At Talentica, you re not just following trends; you re helping shape them. If you're looking for a dynamic environment where you can innovate, grow, and make a tangible impact, Talentica is the place for you. Join us in building the future of technology! Qualification : BE/BTech in any branch from top institutes like IIT, NIT, BITS, VJTI, COEP, or similar.

Tableau Developer - Job Description We are seeking a highly skilled Tableau Developer with expertise in creating impactful and user-friendly dashboards. This role involves collaborating with clients to understand their business needs and delivering data-driven solutions that adhere to UX standards. The ideal candidate will have a strong background in Tableau and SQL, with additional knowledge of data warehouses and Ad Tech being a plus. This is an excellent opportunity for professionals passionate about transforming complex data into actionable insights and maintaining high-performance dashboards. Technical and Professional Requirements: Tableau Expertise: Strong proficiency in creating Tableau dashboards that are visually appealing and effective in communicating insights. SQL Proficiency: Solid understanding of SQL for querying and manipulating data from relational databases. Data Warehouse Experience: Experience with BigQuery or similar data warehouse technologies. Ad Tech Knowledge: Experience working in the Ad Tech domain is preferred, but not mandatory. Job Responsibilities: Dashboard Creation: Collaborate with clients to gather and understand requirements, then translate those into intuitive, user-friendly dashboards using Tableau. Data Manipulation: Use SQL to query and manipulate data as needed for dashboard creation. Data Warehouse Integration: Work with data warehouse concepts and create extracts for efficient Tableau performance. Dashboard Maintenance: Manage and maintain dashboards on Tableau Server, ensuring reliability, uptime, and accessibility. Educational Requirements: Bachelor s Degree in Computer Science, Information Technology, or a related field. Qualification : Bachelors Degree in Computer Science, Information Technology, or a related field.

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).

Position Summary This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities. Job Responsibilities The delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats. Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy. Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team. Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy. Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes. Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable. Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions. Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements. Supports client strategy to ensure business and compliance needs are met. Coordinate and manage subordinates, facilitate interdepartmental communication, and allocate tasks and resources as needed. Guide and advise the modeling and capabilities team as a Subject Matter Expertise on various technologies, solutions, and capabilities to help set up industry-leading practice. Education BE/B.Tech Work Experience 7-12 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred. Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based and other systems dynamics-based techniques. Manage & develop patient/epidemiology-based forecasting models for pharma clients. Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies. EPI based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience. Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast. Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc). Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed Qualification : BE/B.Tech

Position Summary We are seeking a seasoned thought leader to lead our Decision Science and Commercial Analytics team. This role will be responsible for developing commercial forecasts for pipelines and launching products, as well as completing opportunity assessments for lifecycle management. You will leverage deep therapeutic area expertise, analytical instincts, strategic thinking, and project management skills to communicate the value assessment of new assets while identifying risks and opportunities. Job Responsibilities Client & Stakeholder Management: Manage client and onshore stakeholder relationships to ensure successful business delivery, aligning with business needs. Collaboration with Project Managers: Work closely with project managers to define the algorithm, break down the problem into actionable steps, and execute the analysis. Project Scoping & Solution Design: Lead project scoping, solution design, and execution, ensuring effective communication of analysis in client-ready formats. Demand Forecasting: Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support brand strategy. Forecast Assumptions: Prepare robust forecast assumptions by leveraging expertise and analogs from the Forecasting team and insights from the Insights and Analytics team. Forecast Accuracy: Establish objectives to ensure objectivity in brand and therapeutic area forecasts, focusing on forecast accuracy. Brand Volume Forecasting: Develop both short-term and long-term brand volume forecasts to support strategic and operational planning processes. Launch Support & Post-Launch Tracking: Support launch preparations and guide teams in setting up post-launch performance tracking. Create and monitor short-term revenue forecasts, adjust when necessary, and compare against actuals. Data-Driven Decision-Making: Deliver consistent analytics that drive informed decision-making. Define and develop models to answer critical business and operational questions. Education Bachelor's Degree (BE/B.Tech) Master of Business Administration (MBA) Work Experience 15+ years of experience working with Life Sciences companies in pharmaceutical forecasting and data analytics. Experience supporting both pipeline and marketed products is preferred; Specialty or Rare Disease experience is a plus. Expertise in various modeling techniques such as statistical modeling, patient-flow models, simulations, agent-based modeling, and systems dynamics. Proven experience in patient/epidemiology-based forecasting models for pharmaceutical clients. Strong project management skills, with the ability to lead the enablement of global life sciences companies in forecasting and analytics functions through innovative solutions. Extensive experience in EPI-based forecasting for inline, pipeline, and BD&L products/brands. Expertise with pharmaceutical datasets (e.g., IQVIA, Evaluate, IPD, Kantar, DRG, Rx, APLD, etc.). Experience working across multiple markets globally with a deep understanding of disease and therapy areas and their application to forecasting. Technical Competencies Life Sciences Knowledge Project Management Pharmaceutical Forecasting Expertise Attention to P&L Impact Business Development Capability Building & Thought Leadership Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership & Accountability Cultural Fit Talent Management Additional Information: This position requires a dynamic individual with a deep understanding of pharmaceutical forecasting, analytics, and project management. You will play a key role in supporting product and brand strategies with insightful, data-driven forecasting models and contribute to the growth and success of global life sciences clients. Qualification : Bachelor's Degree (BE/B.Tech)

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis and reporting. Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite. Teamwork and collaboration and can mentor junior associates. Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams. Willingness to learn and innovate. Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Effectively communicate with onshore/ client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources. Strong communication, project management, and storyboarding skills. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Campaign Performance Analysis: Analyze the effectiveness of media campaigns across digital, social, programmatic, and traditional media platforms. Track key performance indicators (KPIs) such as impressions, click-through rates (CTR), cost-per-click (CPC), cost-per-acquisition (CPA), and return on ad spend (ROAS). Perform in-depth analysis of media data to identify trends, opportunities, and areas for improvement. Reporting & Insights: Prepare detailed reports and dashboards to communicate media performance to client stakeholders. Provide recommendations on how to optimize campaigns based on data insights, A/B testing results, and market trends. Collaborate with the media buying and planning teams to provide insights that influence media strategy. Budget & Spend Analysis: Monitor media spend across campaigns and ensure alignment with allocated budgets. Identify opportunities for cost efficiencies and performance improvements. Assist in forecasting media spend based on historical data and future trends. Cross-Channel Attribution: Utilize multi-touch attribution models to evaluate the contribution of various media channels (search, display, social, etc.) to overall campaign performance. Help improve the media attribution process to ensure proper credit is given to each channel. Media Research & Competitor Analysis: Stay up to date with industry trends, new tools, and best practices in media analytics. Conduct competitor media analysis to understand market positioning and media strategies of competitors. Identify emerging platforms and channels for potential investment based on research. Collaboration & Stakeholder Management: Work closely with media planners, buyers, and digital marketing teams to ensure alignment of media strategy with business objectives. Provide clear and concise data-driven recommendations to both technical and non-technical stakeholders. Essential Skills & Experience Experience: 2-4 years of experience in media analysis, digital marketing analytics, or a related field. Technical Proficiency: Strong knowledge of digital marketing platforms such as Google Ads, Facebook Ads, and programmatic buying platforms. Proficiency in using analytics tools like Google Analytics, Adobe Analytics, or similar platforms. Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to present insights effectively. Familiarity with Excel and SQL for data manipulation and analysis. Analytical Skills: Strong ability to analyze complex data sets, derive actionable insights, and communicate findings effectively. Detail-Oriented: Ability to handle multiple data points with precision, ensuring the accuracy and integrity of reports. Communication: Excellent written and verbal communication skills, with the ability to explain data insights to non-technical stakeholders. Desirable Skills & Experience Experience with advanced analytics techniques such as predictive modeling or marketing mix modeling (MMM). Understanding of media buying processes and digital advertising ecosystems. Certification in Google Analytics, Facebook Blueprint, or other relevant platforms.

Company Description Calsoft is a leading technology-first partner providing digital and product engineering services with over 25 years of experience. Role Description This is a full-time on-site role for an Associate Director / Director in Business Development for Calsoft s new Gen AI Practice. This is a new practice and an opportunity to build and be part of a team from the ground up. They will be responsible for hiring and leading an inside sales team of 2-3 people. The Associate Director will be located in Pune or Bengaluru and will have the following responsibilities: Responsibilities Responsible for business development and sales of Calsoft s AI practice. Be responsible for a revenue target at a personal and team level. Be a hands-on manager, drive the sales team, and ensure their productivity and efficiency in meeting the target. Be responsible for hands-on calling, lead generation, and closing of new accounts to meet the revenue goals. Work in collaboration with the engineering and presales teams. Activities in scope include prospecting for new business, detailed qualification of sales opportunities, management of the sales cycle, and negotiation of contracts and agreements. Develop and implement sales strategies while keeping both short- and long-term goals in perspective. Qualifications Strong leadership, management, and collaboration skills. Prior experience selling AI or ML services preferred. Excellent communication and interpersonal skills. Should have managed an inside sales team from India but also be hands-on with individual contributor experience. Experience selling into the US and Europe markets. Strong analytical and problem-solving skills. Degree in Computer Science or a related field preferred. Qualification : Degree in Computer Science or a related field preferred.

Summary / Role Purpose As a Data Operations Analyst within the GTM Transformation & Strategy organization, you will partner with the Business Process Architect and Business Process Analyst to guide our stakeholders through the data quality-requirements definition and grooming of critical initiatives throughout our implementation portfolio. Experienced in engaging with cross-functional business stakeholders, you understand how to identify the data-related requirements necessary to achieve a business stakeholders goal and identify opportunities for data quality improvement. Key Duties and Responsibilities Collaborate with business stakeholders and lead discovery sessions to understand data requirements for activities including but not limited to: data mapping/transformation and data migration between systems, data loads and data quality; make recommendations to solve business problems. Critically evaluates information gathered from multiple sources, reconciles inconsistency, and breaks down high-level information into details. Works within agile SAFe operating model; ensures data-related activities are completed prior to release including but not limited to: data dictionary updates, business glossary updates, profile/permission master updates. Manages and monitors data quality dashboards; communicates key findings to business stakeholders. Perform Data Migration/Validation testing efforts; lead data-related UAT preparation activities and guide business users through data validation testing. Minimum Education/Certification Requirements and Experience Bachelor s Degree or equivalent work experience. 3+ years of data analyst experience focused on data mapping/STTM, data migration, data uploads. 2+ years of business systems administration related to customer data management. Prior experience with Salesforce security model, record management and data quality tools (i.e. data loader, deduplication, enrichment, standardization and archival capabilities). Prior experience maintaining data dictionary, data catalog and business glossary. Strong analytical skills with the ability to work through processes, identify and implement data quality improvements and resolve complex matters. Strong time management, attention to detail, and ability to multi-task across concurrent projects. Self-starter mentality and ability to operate within a fast-paced and ambiguous environment. Preferred Qualifications and Skills Salesforce Administrator (201) certification. Experience working in an Agile/SAFe environment. Experience with application lifecycle management tools (ADO, Jira, etc.). Ability to take on various roles including Business Process Analyst as needed, capturing and defining both business process and data-related requirements and translating into Agile Features with Acceptance Criteria. Comfortable working with unstructured or poorly defined data sets. Strong communication and writing skills with the ability to create business deliverables -- including features, user stories and acceptance criteria, with minimal direction and support from a team lead or project manager. Proficiency with MS Office suite of products, including Outlook, Word, Excel and PowerPoint. Our Commitments Amaze with innovative products and solutions. Make our customers incredibly successful. Act with integrity. Ensure employees thrive and shareholders prosper. Our Values Adaptability: Be open, welcome what's next. Courage: Be courageous, move forward passionately. Generosity: Be generous, share, listen, serve. Authenticity: Be you, make us stronger. Our Actions We commit to audacious goals. We work seamlessly as a team. We demonstrate mastery. We deliver outstanding results. Inclusion is at Our Core We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive.

Operations Research Scientist Location: Pune, India About Aera Technology Aera Technology is a leading Decision Intelligence company, empowering enterprises to operate with greater efficiency, intelligence, and sustainability. Our cutting-edge platform, Aera Decision Cloud , seamlessly integrates with existing systems to digitize, augment, and automate decision-making in real time. Trusted by some of the world's most recognized brands, Aera delivers millions of AI-driven recommendations that drive significant revenue growth and cost savings. Role Overview We are seeking an exceptional Operations Research Scientist to join our team in Pune, India. In this role, you will work on challenging mathematical optimization applications, leveraging data science and advanced optimization modeling techniques. You will play a key role in developing analytical strategies and models to enhance efficiency and cost-effectiveness across various operational domains. Key Responsibilities Analyze and solve complex operational problems related to planning, pricing, and supply chains using data-driven approaches. Design, implement, test, and deploy robust optimization algorithms for real-world applications. Develop large-scale linear and integer programming models, heuristic solutions, and efficient optimization techniques. Collaborate closely with solution delivery teams to promote and implement optimization-driven strategies. Work directly with customers and engagement leaders to support live projects and deliver impactful solutions. Qualifications & Skills Bachelor s degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline. 10-15 years of relevant experience in mathematical optimization, data modeling, or operations research. Strong expertise in optimization methods and solvers (e.g., CPLEX, Gurobi, COIN-OR). Proficiency in Python and experience working with large-scale data environments. Ability to work proactively in a remote-friendly environment without requiring micromanagement. Technical Environment Cloud Infrastructure: AWS Operating System: Linux Big Data & Analytics: Spark Programming Language: Python At Aera Technology, we foster an innovative and collaborative workplace that enables employees to grow and thrive. As part of our global team, you will work on cutting-edge technologies and drive impactful solutions for some of the world s top enterprises. We offer: Competitive compensation and company stock options. A dynamic, flexible, and remote-friendly work environment. Opportunities for professional growth and continuous learning. Equal Opportunity Employer Aera Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status. Join us and be a part of building a smarter, more sustainable future! Qualification : Bachelors degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline.

about the role The core function is developing a content strategy based on business objectives. The role encompasses overseeing content requirements and creating content deliverables across various practice and product teams in Searce. key responsibilities Online Promotion using social media Build a community around our online assets Use SEO to increase the reach of our online collateral including our website Set-up a CRM system to track prospects and growing online networks Identify potential strategic partners Enhance our online Brand YouTube Channel creation and marketing of exclusive content Devising strategies to drive online traffic to the company website Build engagement best practices by introducing interesting content/write-ups in accordance with the brand values and objectives Strong writing skills - should generate continuous content for our blogs, websites, and other online content, marketing collateral including brochures & PPTs Strong online network with the ability to nurture an online community Should be able to independently use page-layout and image-editing programs An excellent understanding of Conversion Rate Optimization (CRO) for websites and landing pages Experience of conceptualizing and working on online communication tools like websites, microsites, internal portals, share points, web analytics tools and reporting metrics, networking tools like discussion boards, blogs etc. Familiar with Social Media marketing using Twitter, YouTube, Facebook, LinkedIn, Blogs Google Adwords/Analytics certification will be an added advantage preferred qualifications MBA (preferably from a premier School) - Having said that, please note that degrees don't matter, your passion and intelligence does! 3-8 years of experience in Mass Communication, Creative disciplines & Advertising Excellent people management skills Experience in managing and grooming fresh talent The position will be based at Pune, US experience preferred Qualification : MBA (preferably from a premier School) - Having said that, please note that degrees don't matter, your passion and intelligence does!