Python Basic Jobs in Mumbai

Job Title: Security Automation Engineer Location: Mumbai Education: Graduate / Post-Graduate in Computer Science, Engineering, or a related field Experience: 2 8 years in IT / IT Security (Minimum 2 years in security automation or relevant role) Role Overview We are looking for a Security Automation Engineer with a strong foundation in scripting, system administration, and security tooling. In this role, you'll be responsible for automating key security functions, integrating security tools with enterprise systems, and enabling security visibility across infrastructure through dashboards and reporting. If you re passionate about automating security operations and building scalable security workflows, we want to hear from you. Key Responsibilities Security Tooling Implementation: Evaluate and implement new security tools and technologies aligned with organizational needs. Tool Integration & Automation: Automate security operations by integrating various tools and platforms using APIs, custom scripts, and automation frameworks. Ticketing System Integration: Link security tools with ITSM/ticketing platforms to streamline incident and alert workflows. Dashboard & KPI Automation: Develop scripts/tools for automated generation of security dashboards and KPI reports. CI/CD Security Integration: Collaborate with DevSecOps teams to build and enhance secure CI/CD pipelines, embedding security controls into the SDLC. Internal Enablement & Training: Provide internal training and documentation to help teams safely adopt and manage automation scripts. Cross-Functional Collaboration: Work closely with IT, DevOps, and security teams to ensure effective and secure automation implementations. Required Skills & Experience Technical Skills: Scripting & Automation: Hands-on experience with scripting languages such as PowerShell, Shell, Python, Perl, Ruby, Go, Groovy, and Helm. Tooling & Integration: Experience in automating and integrating tools through REST APIs, CLI, or other interfaces. System Administration: Proficiency in UNIX/Linux environments installation, configuration, and troubleshooting. Networking Fundamentals: Strong understanding of OSI layers, TCP/IP, and general networking concepts. Application Stack Management: Exposure to application servers like Tomcat, JBoss, Apache, NGINX, and Ruby, etc. Programming Background (Basic): Ability to write and understand code for automation and tool integration. Preferred Qualifications Bachelor s or Master s in Computer Science, Information Security, or a related technical field. Prior experience in security automation, DevSecOps, or security operations. Exposure to CI/CD environments and security tooling within development pipelines. Core Competencies Problem-Solving: Ability to break down complex security tasks and automate them efficiently. Collaboration: Strong team player with experience working across departments. Communication: Effective verbal and written skills, especially for internal knowledge sharing. Security Mindset: Proactive approach to improving security posture through automation. Be part of a modern security team driving automation-first security operations. Work with cutting-edge tools and cloud environments. Collaborate with skilled professionals in a cross-functional setup. Opportunity to create impact by improving security visibility and efficiency. Competitive compensation and growth opportunities. Qualification : Graduate / Post-Graduate in Computer Science, Engineering, or a related field

Engineer Information Technology (AIOps & Automation Engineer) Location: Mumbai Experience: 1 3 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is at the forefront of reimagining global connectivity through cutting-edge innovation. Our services power Cloud, IoT, AI, Collaboration, Security, and Network Solutions that redefine the digital experiences of businesses across industries. With a global footprint and a focus on driving intelligent transformation, we are building the New World of Communications. Job Profile: AIOps & Automation Engineer As an AIOps & Automation Engineer, you will play a critical role in transforming IT operations through automation, infrastructure scripting, and deployment of AI/ML-powered solutions. This is an individual contributor position with scope to lead small-scale operational projects and optimize system performance across platforms. Key Responsibilities Design, build, and manage infrastructure automation using Python, PowerShell, Bash, and Ansible. Deploy and maintain AIOps tools and platforms for proactive incident management and operational efficiency. Develop and manage CI/CD pipelines, supporting continuous integration and deployment. Implement and manage monitoring systems, such as Zabbix and other NMS tools. Maintain detailed infrastructure documentation including LLD/HLD. Assist in the design, security, and handover of infrastructure to operations teams. Independently resolve complex IT issues and contribute to operational improvements. Stay current with advancements in AI/ML, automation, and orchestration technologies. Technical Skill Requirements Proficiency in Python, PowerShell, and Bash scripting. Experience with Ansible, AWX, or similar automation tools. Familiarity with Zabbix or other network monitoring systems. Understanding of AI/ML concepts and practical exposure to related tools. Working knowledge of AIOps platforms and deployment practices. Hands-on with Linux, Windows Server, and basic Kubernetes. Experience in designing, documenting, and implementing IT infrastructure. Familiarity with CI/CD tools and pipeline methodologies. Certifications in relevant technologies are an added advantage. Qualifications B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field. 1 3 years of experience in IT Operations, with exposure to automation and AIOps. Strong analytical and problem-solving skills. Excellent documentation and communication abilities. What You ll Bring Passion for automation and digital transformation in IT infrastructure. Ability to independently manage tasks, take initiative, and troubleshoot complex issues. Flexibility to adapt and contribute in a fast-paced, evolving technical environment. A collaborative mindset with a focus on delivering reliable, scalable solutions. Be part of a future-forward tech ecosystem in one of India s most respected technology organizations. Work on next-generation automation and AIOps platforms shaping global IT operations. Collaborate with industry leaders and expand your skills in a learning-driven environment. Qualification : B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Job Title: Senior Software Engineer (Data Engineer) Location: Mumbai Company: DGS India About the Role We are looking for a curious and self-driven Senior Software Engineer to join our technology team. In this role, you will maintain, improve, and manipulate large-scale operational and analytics databases critical to our business. You will collaborate closely with software engineers, data analysts, data scientists, and data warehouse engineers to implement database solutions that support global client objectives. Experience Required Minimum 3 years and up to 7 years of relevant experience. Key Responsibilities Work independently as an individual contributor, understanding design tasks and writing high-quality code. Build, maintain, and optimize multi-terabyte marketing databases integrated with cloud platforms. Analyze database performance and troubleshoot issues efficiently. Collaborate with cross-functional teams internally and externally to meet business goals. Must-Have Skills Experience with cloud platforms such as AWS, Azure, or GCP. Strong proficiency in SQL. Hands-on experience with ETL tools. Programming skills in Python or UNIX shell scripting. Familiarity with workflow orchestration tools like Tivoli, Tidal, or Stonebranch. Solid understanding of data modeling, data structures, and database technologies. Knowledge of both relational and non-relational databases, and when to apply each. Practical understanding of data warehousing concepts, data marts, ingestion, and transformation. Good communication skills for effective collaboration. Good-to-Have Skills Experience working with Data Warehouses (DWH). Strong debugging and troubleshooting skills. Familiarity with SVN, JIRA, and Agile methodologies. Experience in client-facing roles with excellent communication abilities. Ability to work collaboratively across cross-functional teams. Educational Qualifications Bachelor s degree in Engineering or a related field. Certifications (Preferred) Basic level certification in AWS, Azure, or GCP. Snowflake Associate/Core certification. Shift Timings 12:00 PM to 9:00 PM IST and/or 2:00 PM to 11:00 PM IST. Qualification : Bachelors degree in Engineering or a related field.

Job Title: Associate Analyst Insights & Analysis Location: Mumbai About the Role As an Associate Analyst, you will support the delivery of data analysis aligned with client business objectives. You will work closely with clients and internal teams to ensure high-quality execution of research projects and exceed performance targets. Key Responsibilities Understand client needs and maintain clear, effective communication between clients and internal teams. Discuss questionnaire-related issues with clients and propose practical solutions. Use specialized market research tools and programming languages to design surveys and deliver data tables that meet client requirements with quality and efficiency. Review project requirements and execute tasks under the guidance of senior team members, following established guidelines and using relevant tools and systems. Create and adhere to work allocation schedules and project plans to ensure timely delivery.

Job Title: AWS Cloud DevOps Lead Location: Mumbai, India Experience: 8-12 years Education: Bachelor s Degree + AWS Certification (preferred) Job Summary We are looking for a dynamic AWS Cloud DevOps Lead to lead our team of 10-15 DevOps and Cloud engineers based in Noida. You will play a key role in driving DevOps adoption, managing cloud infrastructure, and ensuring robust automation and operational excellence across our AWS environments. Key Responsibilities Lead, mentor, and manage a team of DevOps and Cloud engineers. Drive the design, implementation, and deployment of cloud-based enterprise solutions. Understand and work with diverse application architectures (Monolithic, SOA, Microservices, Event-driven). Develop application architectures and create Scope of Work (SoW) documents for technical deployments. Manage technology infrastructure engineering, operations, and management of on-prem and cloud-based production systems, ensuring high availability, scalability, and performance. Innovate and create new automation, tooling, and security processes to enhance product/service reliability and efficiency. Collaborate closely with cloud administrators, developers, and cross-functional teams. Oversee budgeting and resource allocation for technology infrastructure and cloud computing. Lead customer interactions for technical requirement gathering and use case mapping with AWS services. Implement automation in the SDLC to reduce time to market and minimize errors. Administer and troubleshoot automation tools and processes, taking corrective actions proactively. Basic Qualifications & Experience 5+ years of cloud experience, with a strong focus on designing, maintaining, and administering large production environments. 7+ years hands-on Linux administration experience (Ubuntu preferred). 5+ years experience with cloud platforms (AWS preferred, GCP/Azure exposure a plus). Strong experience with Infrastructure as Code (IaC) and configuration management tools such as Terraform and Ansible (5+ years). Hands-on experience with AWS CloudFormation, CodePipeline, CodeDeploy, and AWS Console/CLI. Proficient with scripting languages: Python (with AWS Boto), Bash, PowerShell. Experience with CI/CD tools including GitLab CI, Jenkins, CircleCI (5+ years). Kubernetes experience (EKS preferred) with 3+ years managing container orchestration. Experience with MongoDB (self-hosted and Atlas) for 3+ years. Knowledge of infrastructure automation tools such as Chef, Puppet, or Ansible (minimum 2). Strong understanding of IT infrastructure including hypervisors, SDN, serverless, and containerized environments. Experience in customer-facing roles for technical requirement gathering and solution design. Proven team leadership and people management skills. AWS certification(s) highly preferred. Technical Skills Cloud Platforms: AWS (primary), GCP, Azure Container Orchestration: Kubernetes (EKS) Infrastructure Automation: Terraform, Ansible, CloudFormation, Chef, Puppet CI/CD: GitLab CI, Jenkins, CircleCI Scripting: Python (Boto), Bash, PowerShell OS Administration: Linux (Ubuntu), Windows Databases: MongoDB (self-hosted and Atlas) Join us to lead the transformation of cloud infrastructure and DevOps practices at scale!

Job Title: Data Analyst Investment Team Location: Mumbai, India Company: BCI Finance (Part of Blenheim Chalcot Portfolio) Experience: 1 3 Years Department: Investment & Analytics Employment Type: Full-Time The Role: We are looking for a highly analytical and detail-oriented Data Analyst to join the Investment Team at BCI Finance, part of the Blenheim Chalcot portfolio. You ll play a key role in building models, conducting borrower-level data analysis, maintaining databases, and developing dashboards that directly influence investment decisions and credit strategies. This role offers exposure to real-world financial data, modern data platforms, and the chance to contribute to the next generation of GenAI-enabled FinTech businesses. Key Responsibilities: Run-Off Modelling Build and maintain run-off models to assess credit security against borrower portfolios. Contribute to quarterly IFRS9 provisioning through model updates. Conduct scenario and sensitivity analyses for new deal structures. Borrower Data Analysis Analyze loan-level performance to identify trends, risks, and concentration issues. Support investment memos with actionable credit risk insights. Maintain and update Power BI dashboards for borrower monitoring. Present emerging trends during monthly monitoring sessions. Data Management & Platform Development Upload and manage borrower data in a PostgreSQL database. Ensure data integrity and consistency across systems. Assist in developing Python-based analytics tools for internal users. Technical Stack: Required Skills Excel: Advanced skills for model building and financial analysis. Python: For analytics, data manipulation, and scripting. AI Tools: Familiarity with tools like ChatGPT and Cursor to enhance productivity. Nice-to-Have Skills SQL (PostgreSQL): For data extraction and management. Power BI: For creating dashboards and visual reporting. Note: Support in Python, SQL, and Power BI is available through the India team. About You: The ideal candidate thrives in fast-paced, data-driven environments and enjoys working cross-functionally. You're a problem-solver with a technical edge and a solid understanding of financial and investment principles. Qualifications & Experience: Bachelor's degree in a STEM field, Finance, or a quantitative discipline. Strong financial modeling and Excel experience. Working knowledge of Python and/or SQL. Basic understanding of credit risk and investment structures. Comfortable working with large, complex datasets. What We Offer: Competitive Compensation. Exposure to global FinTech investment processes. Learn directly from Blenheim Chalcot, the world s leading digital venture builder. Hands-on experience with GenAI tools and next-gen data platforms. Private medical insurance for you and your immediate family. Life insurance coverage. 24 days annual leave + 10 public holidays. A dynamic and fun culture (we own the Rajasthan Royals IPL team!). About BCI Finance: BCI Finance is a private credit-specialist investment manager under Blenheim Chalcot, focused on empowering high-growth FinTech companies through flexible, empathetic debt solutions. Known for its strong track record through the Credit Opportunities Fund, BCI blends rigorous credit analysis with innovative funding strategies. About Blenheim Chalcot: Blenheim Chalcot has been building digital businesses for over 26 years across FinTech, EdTech, GovTech, HealthTech, and more. With a team of 3,000+ and a presence in the UK and India, Blenheim Chalcot helps ventures scale by providing strategic expertise and operational support in technology, growth, talent, finance, and legal. Diversity & Inclusion: At Blenheim Chalcot, we re committed to creating an inclusive culture. We celebrate diversity and aim to empower all employees to achieve their full potential through equal opportunities and respect for all voices. Qualification : Bachelor's degree in a STEM field, Finance, or a quantitative discipline

Job Description Role Purpose: This is a strategic leadership position. Primary responsibility is to lead and grow the NIQ Qualitative business Nationally. The candidate will be responsible for driving profitable growth, including the full P&L of the business, Representing VOC and creating awareness of all your portfolio internally and externally. You will lead the India Qualitative business and team of Qualitative researchers, work closely with the various Business Vertical leaders and set a strategy that focuses on account acquisition retention and growth This role is also accountable for accurately managing an active sales pipeline and coaching the specialty seller team to better results by leveraging multiple sales drivers such as prospecting, campaigns, and other account engagement tools. Working closely with business partners across verticals to understand client challenges and ensuring strong awareness and presence of Qual with these clients. Core Responsibilities Own Qualitative Research revenue and cost OP, driving long term profitable growth. Develop and execute the Qualitative Strategy to grow share. Developing a clear blueprint on where to play and how to play and how to win. Introduce new solutions and thought leadership pieces to the team Develop and drive continuous though leadership agenda and participate in external forums. Craft India client engagement plans alongside the Vertical leaders and Business partners for target client activation at local India level. Develop sales plans and strategies accordingly to achieve sales goals in collaboration with each Vertical leader. Articulating it clearly with the Vertical business partners on opportunities for new client penetration, cross sales and upgrades leveraging the practices - Bring to Life the Go to Market plan review, adjust with vertical leaders as well partnering with Regional Qualitative Practice. Ensuring that your team of Qual researchers have a clear blue print of which accounts to focus and alignment with business partners. Serve as senior leader on Local RFP engagements working across SA&I and NielsenIQ for a unified response and representing the Qualitative research requirements. Develop KPI for the teams that focuses not just on NBD but also on client retention, win back, and larger share of continuous business. Manage sales team pipeline and assist in closing deals through strategic intervention. Set quarterly and annual sales quotas. Provide detailed sales forecasting on a monthly basis. Own client-level annual operational (OP) planning inputs with the team at the account/geo level. Create sales reports and provide feedback to SA&I India leader. Drive sales maintaining a long-term perspective to maximize overall revenue generation while being able to generate short term results. Ensure the team is scoping projects responsibly that meet SAI profitability guidelines. Partner closely with Customer Success Teams and vertical leaders to align on goals and strategy and drive shared accountability for revenue targets. Implement annual pricing increases and influence price-setting for new services. Lead and Advise on RFPs as necessary. Ensure NIQ GDF / SDF fund usage where applicable. Be a NIQ relationship driver. Liaise with local NIQ sales leaders on joint business planning, regional commercial efforts, and SAI product pushes. Voice of client Maintain & develop the commercial relationship to clients. Monitor the market and competitor products and activities and feed the same to India lead as well as regional Qual leader. Review customer activity and anticipate prospecting needs. Establish and maintain senior level key prospect/client relationships. Provide input for product development and prioritizations based on client feedback, RFPs requirements, competition analysis and market trends. Collaborate Practice leaders as well as Regional Vertical leader to capture needs and get early feedback on our mid / long term product roadmaps. Product positioning and awareness Clearly and convincingly articulate Qualitative offerings and unique value proposition, matching them with relevant client business challenges/KPIs. Where necessary adapt Regional Qual sales framework to India, linked to use cases relevant to specific target buyer personas and Verticals. Adopt and adjust Regionally built buyer personas profile and objection handling playbook to India market needs. Generate buyer personas database by verticals and help activate the same with GTM plan along with the Vertical Leaders. Facilitate the creation of client case studies to support product positioning. Lead or support T2T client meetings concerning Qual. Maintain broader Qualitative product/technical knowledge across all SAI tools. Participate in regional boot camps. Plan and Initiate local Bootcamps to train the Business partners. People management Recruit and hire Qual Research staff as the case may be. Motivate the teams to achieve their goals. Mentoring and guiding on winning techniques using your experience. Setting their targets and goals and guiding them on how to meet and exceed their KPI. Work with training team and peers to develop sales training content and protocols. Ensure internal processes are followed, including adherence to tracking customer and transactional information in CRM system and other sales and operational processes. Regular performance reviews with the team. Qualifications Expert in Qualitative Research techniques University degree in Marketing / Economics / Psychology / Sociology or related field a must. Preferred Postgraduate or MBA 15+ years working experience in Market Research - Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on. Proven Leader of high performing teams Expertise in (application of) one of NielsenIQ solutions is a plus Strong analytical skills Proven sales acumen Skillsets Strong sense of urgency and accounta...

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

About the Team: The team is responsible for creating and delivering high-quality financial content derived from sell-side research. By leveraging advanced data extraction technologies combined with deep domain expertise, the team ensures efficient and accurate data collection. Collaboration, attention to detail, and a focus on continuous process improvement are key pillars of the team s success in delivering impactful insights to clients. The Impact: In this role, you will play a vital part in delivering accurate and timely financial insights that empower clients to make informed investment decisions. By maintaining the highest standards of data accuracy and reliability, you will directly enhance the credibility and usability of our consensus data, contributing to client satisfaction, business success, and S&P Global s reputation in the financial markets. What s in it for You: Develop expertise in understanding and interpreting sell-side models, strengthening your analytical and financial acumen. Gain hands-on experience with data extraction tools and methodologies. Collaborate with a global team and grow professionally through structured learning, mentoring, and cross-functional exposure. Key Responsibilities: Extract and prepare high-quality financial content from sell-side research reports using advanced data extraction tools and sector-specific expertise. Analyze business models across various publicly listed companies and highlight key modeling approaches used by analysts. Conduct thorough quality checks to ensure data accuracy and reliability. Collaborate closely with team members to continuously optimize data collection processes and enhance overall efficiency. Effectively communicate key insights and findings with internal stakeholders, contributing to process enhancements and knowledge sharing. What We re Looking For: Education: Graduate in B.Com (Hons/Pass), BBA, BBE, BBS/BMS, or BFIA. Candidates who have cleared CFA Level 1 are preferred. Experience: 0 to 1 year of relevant experience in financial data collection, analysis, or related fields. Technical and Domain Skills: Understanding of basic financial concepts, including recurring income, financial statements, and ratio analysis. Proficiency in Microsoft Excel and other data management tools. Familiarity with financial modeling concepts (though this is not a modeling role). Soft Skills: Strong analytical mindset and attention to detail. Excellent problem-solving and troubleshooting abilities. Effective communication skills to collaborate with diverse teams and stakeholders. A proactive attitude with a willingness to learn and adapt. Work Shift: Primary shift: Day shift. Candidates must be willing to work in rotational shifts (including night shifts) for 2-3 weeks per quarter, as required. Shift timings: 5:00 AM to 2:00 PM 12:00 PM to 9:00 PM 8:00 PM to 5:00 AM Additional Note: This is not an Equity Research or Financial Modeling role. You will not write research reports or build sell-side financial models. However, the role offers unique exposure to various business models, financial statements, and modeling approaches used by top analysts across industries and geographies. This hands-on learning experience offers valuable insights into global financial markets. About S&P Global Market Intelligence: At S&P Global Market Intelligence, we recognize the power of accurate, comprehensive, and timely information. As part of S&P Global, we deliver essential intelligence, combining deep data, advanced technology, and expert insights to help our clients expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit: www.spglobal.com/marketintelligence Our Purpose: At S&P Global, we accelerate progress by transforming data into Essential Intelligence , helping companies, governments, and individuals identify risks and unlock new possibilities. In a complex and evolving world, we empower decision-makers to plan confidently for tomorrow, today. Our People: With over 35,000 employees across the globe, we combine local insights with a global perspective. Our culture thrives on curiosity, discovery, and partnership, driving innovation and enabling sustainable progress. From sustainability solutions to analytics platforms, we are redefining how data empowers action. Our Values: Integrity Acting with honesty, transparency, and fairness. Discovery Curiosity and continuous learning fuel our innovation. Partnership Collaboration drives better outcomes for our customers and each other. Benefits: We invest in your well-being and career growth through: Comprehensive health and wellness programs. Flexible time-off policies to support work-life balance. Continuous learning opportunities through training programs and educational support. Financial security through competitive pay, retirement plans, and student loan contribution programs. Family-friendly perks, including benefits for partners and dependents. Additional perks such as retail discounts, referral bonuses, and more. Qualification : Graduate in B.Com (Hons/Pass), BBA, BBE, BBS/BMS, or BFIA

Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.

Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ Position Summary The Senior Statistical Programming Lead is an experienced Statistical Programmer with advanced knowledge of statistical programming methods, languages and data structures and capabilities in leading analysis and reporting activities and programming teams in accordance to departmental processes and procedures. This position is accountable for the planning, oversight and delivery of statistical programming activities supporting one or more clinical projects, compounds and/or submissions generally of low-medium complexity/criticality. The Senior Statistical Programming Lead is responsible for making decisions and recommendations that impact the efficiency, timeliness and quality of deliverables and provide leadership, direction and technical and project specific guidance to programming teams. As an experienced Statistical Programmer this position applies advanced technical and problem-solving skills to complete programming activities of high complexity that may benefit multiple project teams. In addition, the Senior Statistical Programming Lead may contribute advanced knowledge and technical skills to Therapeutic Area or departmental innovation and process improvement projects. Principal Responsibilities As a Programming Lead; Accountable for Statistical Programming team delivery for one or more clinical projects generally of low to medium complexity, scope or criticality. Coordinates and supervises programming team activities and provides technical and project specific mentorship to programming team members to ensure quality and timely statistical programming deliverables in compliance with departmental processes and procedures. Develops detailed programming strategy, specifications and plans the programming deliverables for a one or more clinical projects. May act as a section lead of programming activities supporting a clinical program, compound or submission. Performs comprehensive review of, and provides input into, project requirements and documentation. Collaborates optimally with statistical programming and cross-functional team members and counterparts to achieve project goals. As applicable, coordinates statistical programming activities outsourced to third party vendors adopting appropriate processes and methods to ensure their performance meets the agreed upon scope, timelines, and quality. As an experienced Statistical Programmer; Designs and develops programs in support of sophisticated clinical data analysis and reporting activities. Applies technical and analytical expertise to develop and implement solutions for use on clinical projects leading to increased efficiency and quality. May contribute to or lead others in an area of expertise that results in solutions growing the efficiency and quality of deliverables across multiple projects. May play the role of a Therapeutic/Disease Area Expert contributing to standards strategy and definition and providing expertise for a specific Therapeutic/Disease area across value streams. Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for position. May contribute to departmental innovation and process improvement projects. Principal Relationships Reports into people manager position within the functional area. Accountable to the Statistical Programming Portfolio Lead for assigned programming activities and responsibilities. Functional contacts within IDAR include but are not limited to, Statistical Programming Portfolio Lead, Statistical Programmers, peer groups within the function, Data Management, Regulatory Medical Writing. Functional contacts within Janssen (as collaborator or peer) include but are not limited to Clinical Trial Lead, Quantitative Sciences, Biostatisticians, Regulatory, Clinical - Primary interfaces within clinical project (trial), program, and submission teams. External contacts include but are not limited to external partners including CROs. Qualifications Qualifications - External Bachelor's degree or higher and/or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth). Approximately 6-8 years programming experience with growing responsibility, preferably in a pharmaceutical/clinical trial environment. Advanced knowledge of relevant statistical programming languages including SAS (required), other relevant programming languages (e.g. R, Python etc. preferred), and data structures. Proven experience planning and coordinating programming activities and leading teams. Proven experience working with cross functional stakeholder and teams. Solid understanding of regulatory guidelines (e.g. ICH-GCP) and relevant clinical R&D concepts. Basic project management skills. Demonstrated written and verbal communication skills. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Qualification : Bachelor's degree or higher and/or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth).

About Oracle FSGIU - Finergy Finergy is a specialized division within Oracle Financial Services Global Industry Unit (FSGIU) that focuses exclusively on the Banking, Financial Services, and Insurance (BFSI) sector. The division offers deep domain expertise, proven methodologies, and end-to-end banking solutions to help financial institutions optimize operations and enhance customer experiences. Job Responsibilities Estimate testing resources and effort to support prioritization and planning. Collaborate with QA Engineers to develop effective test scenarios and plans. Report bugs and defects to development teams (JIRA knowledge is a plus). Learn and implement automation tools as required by the project. Develop test automation scripts using Java and Selenium. Perform API testing and basic SQL query writing. Create reports and analyze test results to ensure high-quality software delivery. Work with automation frameworks, such as Data-Driven or Keyword-Driven frameworks. Mandatory Skills & Experience 4-6 years of experience in automation testing. Strong Java programming skills. Hands-on experience with Selenium for test automation. Expertise in TestNG for test execution and reporting. Good understanding of API testing methodologies. Basic SQL skills for querying databases. Familiarity with automation frameworks (Data-Driven, Keyword-Driven, or alternatives). Knowledge of JIRA for bug tracking is an added advantage. Why Join Oracle? Work on cutting-edge automation testing for BFSI applications. Join a highly skilled and innovative team in Oracle s Finergy division. Opportunity to work on large-scale financial solutions with industry-leading clients. Competitive compensation, benefits, and career growth opportunities. A dynamic work environment that promotes innovation, inclusion, and work-life balance. If you're a skilled Automation Engineer with a passion for testing and BFSI applications, this is an excellent opportunity to advance your career with Oracle Finergy!

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Hands-on software development experience in an Object-Oriented programming language (such as Python, Java, C++). Hands-on practical experience in system design, application development, testing, and operational stability. Experience in developing highly scalable micro-services based applications. In-depth knowledge of software applications and technical processes with practical knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Experience with Source Code Control Systems such as Git, bitbucket, svn, etc. Experienced inagile methodologies Preferred qualifications, capabilities, and skills Familiar in highthroughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB etc. andinnear real time stream processing with services such Kafka, Kinesis, Flink, ECS, EKS etc. Familiar in high volume feature engineering with services such as EMR.Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc. Familiar with relational DBs, SQL, RDS. Experience with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring, Cloud. Experience with recommendation and personalization systems.Interest in problems related to the financial services domain. Qualification : Formal training or certification on software engineering concepts and 2+ years applied experience

Job Title: DevSecOps Engineer Location: Mumbai Education: Graduate / Post-Graduate in Computer Science, Engineering, or a related field Experience: 2 8 years in IT / IT Security (Minimum 2 years in a relevant DevSecOps role) Role Overview We are looking for a DevSecOps Engineer with a strong security-first mindset and deep experience in automating and securing CI/CD pipelines. This role will focus on integrating security into the software development lifecycle, ensuring reliable and secure deployment of cloud-native applications, and maintaining robust infrastructure-as-code practices. The ideal candidate will have hands-on experience in cloud deployments, scripting, infrastructure automation, and a solid understanding of secure coding and development practices. Note: Candidates must be eligible for and able to pass DHS Suitability Clearance. Key Responsibilities Integrate SAST, DAST, and SCA tools into the CI/CD pipeline for automated application security scanning. Define, develop, and maintain CI/CD strategies and pipelines, especially for managing Infrastructure as Code (IaC). Lead build, deployment, and monitoring standards for secure and scalable application delivery. Collaborate with Agile development teams to implement end-to-end automation of application and infrastructure deployments in cloud environments. Automate provisioning and configuration of infrastructure using scripting and templating tools. Maintain and optimize CI/CD tools such as Jenkins, Travis, Ansible, and Kubernetes. Work closely with development, operations, and vendor teams to resolve technical issues and improve system reliability. Monitor, support, and maintain installed systems and infrastructure, ensuring maximum availability and performance. Create and maintain scripts for system efficiency, automation, and operational improvements. Contribute to the design and implementation of secure, scalable, and highly available systems. Ensure strong backup, redundancy, and security strategies are in place and actively maintained. Identify performance bottlenecks and work with development teams to implement solutions. Required Skills & Experience Technical Skills: Strong scripting skills in one or more languages: Shell, Python, Ruby, Perl, Go, Groovy, Helm, PowerShell, etc. Experience with: Infrastructure as Code (IaC) tools and practices Cloud deployments and monitoring of web applications Operating systems: Strong in UNIX/Linux Networking concepts, particularly OSI layers and TCP/IP Experience with the administration and tuning of application stacks such as: Tomcat, JBoss, Apache, NGINX, Ruby, etc. Hands-on experience with: CI/CD tools: Jenkins, Travis, etc. Configuration management: Ansible Container orchestration: Kubernetes Mindset & Soft Skills: Security-first mindset with understanding of secure coding and DevSecOps principles Demonstrated ability to build secure and reliable infrastructure and pipelines Strong analytical and problem-solving skills Effective verbal and non-verbal communication and collaboration skills Proactive, self-driven, and able to work in fast-paced environments Preferred Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field Experience with DevSecOps in regulated or security-sensitive environments Familiarity with compliance requirements and security standards Be at the forefront of secure DevOps practices in a growing and tech-forward organization Work with cutting-edge technologies and tools in cloud-native environments Collaborate with a high-performing, cross-functional team Contribute to meaningful, security-focused development initiatives Competitive compensation and professional growth opportunities Qualification : Graduate / Post-Graduate in Computer Science, Engineering, or a related field

Full Stack Developer Location: Mumbai Experience: 3 to 6 Years Qualification: Graduate Employment Type: Full-time About the Role We are looking for a highly skilled and passionate Full Stack Software Engineer to join our growing technology team. The ideal candidate will have deep expertise in Python (Django/FastAPI) on the backend, solid hands-on experience with ReactJS on the frontend, and familiarity with MongoDB and SQL databases. This role is ideal for someone who enjoys building scalable systems, designing REST APIs, and delivering full-cycle web solutions from development to deployment. Key Responsibilities Backend Development Develop scalable backend services using Python and frameworks like Django or FastAPI. Design and implement RESTful APIs that are secure, well-documented, and performance-optimized. Create and maintain automated tests for APIs (using Postman, pytest, etc.). Frontend Development Build interactive, user-centric UIs using ReactJS, including API integration, component-based architecture, and state management. Database Management Work with both MongoDB (NoSQL) and SQL (PostgreSQL/MySQL) databases. Design schemas, optimize queries, and ensure high data integrity and performance. DevOps & Cloud Deployment Deploy applications using Docker and manage deployments on AWS (EC2, S3, RDS, Lambda, etc.). Work with CI/CD pipelines to automate testing and deployment workflows. Monitoring & Logging Use tools such as ELK Stack, Prometheus, Grafana, or AWS CloudWatch for monitoring application health and logs. Support production environments, debug issues, and ensure application uptime. Collaboration & Best Practices Work closely with product managers, QA engineers, and designers to deliver features on time. Conduct peer code reviews, write clean and maintainable code, and follow secure coding practices. Required Skills Technical Proficiency Strong command of Python, especially with Django or FastAPI. Frontend development with ReactJS. Experience in REST API design and implementation. Proficient in MongoDB, PostgreSQL, or MySQL. Knowledge of ORMs, query tuning, and schema design. DevOps & Cloud Hands-on experience with AWS services. Experience with Docker and CI/CD pipelines. Testing & Monitoring Familiarity with Postman, pytest, and logging tools (e.g., ELK, Prometheus, Grafana). Soft Skills Strong problem-solving and debugging capabilities. Solid understanding of data structures and algorithms. Effective communication and team collaboration skills. Comfortable using Git and standard version control workflows. Preferred Tools & Technologies Languages/Frameworks: Python (Django/FastAPI), ReactJS, JavaScript Databases: MongoDB, PostgreSQL, MySQL Cloud/DevOps: AWS (EC2, S3, RDS, Lambda), Docker, CI/CD Tools: Postman, Git, ELK, Prometheus, Grafana Be part of a collaborative and fast-paced engineering team Build products that scale and impact users directly Opportunity to work with the latest technologies in cloud, DevOps, and frontend/backend stacks If you're a proactive developer who thrives in solving real-world problems through scalable software solutions, we d love to hear from you. Qualification : Graduate

Automation Engineer (RPA) Experience: 3+ Years Location: Mumbai Employment: Full-Time About Fynd Fynd is India s leading omnichannel platform and a tech pioneer in retail technology, AI, ML, big data, and image editing. We empower over 2,300 brands by providing a unified platform that seamlessly connects online and offline sales, store operations, inventory management, and customer engagement transforming retail experiences across industries. Role Overview We are looking for a skilled Automation Engineer / Implementation Engineer with strong expertise in RPA (UiPath preferred) to design, develop, and deploy workflow automation solutions. The ideal candidate will also leverage AI/ML to optimize processes, working closely with business and IT teams to identify automation opportunities and deliver innovative, efficient solutions that drive operational excellence. Key Responsibilities Collaborate with stakeholders to analyze and document business processes. Identify automation opportunities and integrate AI/ML enhancements where applicable. Design, develop, and maintain RPA workflows using UiPath and similar platforms. Test, debug, and deploy automation and AI/ML solutions ensuring reliability. Integrate automated workflows with existing systems and analytics tools. Provide ongoing support and improvements based on feedback and performance monitoring. Stay updated on RPA, AI, and ML trends, recommending best practices for continuous improvement. Qualifications & Skills Bachelor s degree in Computer Science, IT, Engineering, or related fields. 3+ years of experience in automation engineering or process automation roles. Proficient with RPA tools such as UiPath, Automation Anywhere, etc. Strong programming skills in VB.NET, C#, Python, or similar languages. Familiarity with AI/ML concepts and experience integrating AI/ML into automation workflows. Excellent analytical, problem-solving, and communication skills. Understanding of software development lifecycle and agile methodologies. Experience in system integration is a plus. Preferred RPA certifications. Experience or certifications in AI/ML projects. Background in implementation or consulting roles handling end-to-end automation projects. Growth: Opportunities to learn, innovate, and lead as we expand into new markets and product lines. Flex University: Access to in-house courses and reimbursement for external upskilling programs. Culture: Regular community and team-building events, plus annual celebrations. Wellness: Comprehensive mediclaim covering family, plus access to mental health support for work-life balance. We work from our Mumbai office 5 days a week to foster collaboration and teamwork. Join us to make a real impact in a dynamic, innovative environment! Qualification : Bachelors degree in Computer Science, IT, Engineering, or related fields

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute