< p> Job_Description":"< span> < div> < span> < br> < p> < b> < span> About the Role < span> < br> < div> This is a foundational role in our Analytics journey. You will be the first dedicated Data Science leader at SarvaGram - embedded within Technology and working directly with the CTPO. You will own the end-to-end analytics charter: from understanding our data landscape and identifying high-impact problems, to building models that drive measurable business outcomes across employee performance, portfolio health, and early warning systems.< br> < div> Reports to: Chief Technology & Product Officer (CTPO)< br> < div> < br> < div> You will operate as a player-coach - doing hands-on data science work while mentoring a growing team of data scientists and analysts.< br> < div> < br> < div> < span> < b> < span> < span> < span> Role Overview < br> < div> < span> < b> < span> < span> < span> < span> < span> < br> < div> < span> < span> < span> < span> We are looking for an < b> < span> < span> < span> Analytics Lead < span> < span> < span> to build and own SarvaGram < b> < span> < span> < span> analytics and data < span> < span> < br> < div> < span> < b> < span> < span> < span> engineering layer < span> < span> < span> from the ground up. This role will be responsible for creating a < b> < span> < span> < span> single source < span> < span> < br> < div> < span> < b> < span> < span> < span> of truth < span> < span> < span> , enabling < b> < span> < span> < span> business-critical decision making < span> < span> < span> , and laying the foundation for < b> < span> < span> < span> scalable, < span> < span> < br> < div> < span> < b> < span> < span> < span> compliant, and trustworthy analytics < span> < span> < span> across the organization. < span> < span> < br> < div> < span> < span> < span> < span> This is a < b> < span> < span> < span> hands-on leadership role < span> < span> < span> requiring strong data engineering fundamentals, business < span> < span> < br> < div> < span> < span> < span> < span> acumen, and the ability to work closely with Product, Risk, Operations, and Leadership. < span> < span> < br> < div> < span> < span> < br> < div> < span> < span> < br> < div> < span> < b> < span> < span> < span> Key Responsibilities < span> < br> < div> < span> < span> 1. Problem Discovery & Analytics Roadmap < span> < br> < div> < span> < span> < span> < br> < div> < span> < span> - Conduct a structured discovery of data assets across all business verticals (lending, collections, HR, operations) < span> < br> < div> < span> < span> - Identify and prioritize high-value use cases for data science and analytics across three core domains: < span> < br> < div> < span> < span> - Branch performance - productivity, attrition prediction, workforce planning < span> < br> < div> < span> < span> - Portfolio performance - cohort analysis, yield analytics,



repayment behaviour < span> < br> < div> < span> < span> - Early warning & stress models - delinquency prediction, credit stress indicators, collection triggers < span> < br> < div> < span> < span> - Define and own the analytics roadmap in alignment with the key stakeholders < span> < br> < div> < span> < span> - Translate ambiguous business questions into well-framed data science problem statements < span> < br> < div> < span> < br> < div> < span> < span> 2. Hands-on Modelling & Analysis < span> < br> < div> < span> < span> - Design, develop, validate, and deploy statistical and machine learning models end-to-end < span> < br> < div> < span> < span> - Build credit risk scorecards, early warning models, and portfolio stress frameworks suited to NBFC lending portfolios < span> < br> < div> < span> < span> - Work with partially structured data - perform data wrangling, feature engineering, and pipeline development using Python and SQL < span> < br> < div> < span> < span> - Leverage Snowflake and AWS infrastructure for scalable data processing and model deployment < span> < br> < div> < span> < span> - Ensure models are explainable, interpretable, and regulator-friendly - a critical requirement in the NBFC context < span> < br> < div> < span> < br> < div> < span> < span> 3. Team Building & Mentorship < span> < br> < div> < span> < span> - Onboard, mentor and guide a team of data scientists and analysts, setting technical standards and reviewing work < span> < br> < div> < span> < span> - Define best practices for modelling, code quality, documentation, and experimentation < span> < br> < div> < span> < span> - Contribute to hiring decisions as the team grows < span> < br> < div> < span> < span> - Foster a culture of curiosity, rigour, and business impact within the analytics function < span> < br> < div> < span> < br> < div> < span> < span> 4. Stakeholder Collaboration < span> < br> < div> < span> < span> - Partner closely with Risk, Credit, Collections, HR, and Business Vertical heads to understand domain needs < span> < br> < div> < span> < span> - Communicate findings, model outputs, and recommendations clearly to non-technical stakeholders < span> < br> < div> < span> < span> - Create dashboards and reports in Metabase or equivalent BI tools to democratise data insights < span> < br> < div> < span> < span> - Work alongside data and engineering teams to improve data quality and availability < span> < br> < br> < span> Requirements < div> < span> < b> < span> < span> < span> Academic Qualification:



< span> < br> < div> < span> < span> < br> < div> < span> < span> Solid foundation in Statistics, Mathematics, or a related quantitative discipline is essential. We are looking for candidates with the academic rigour of programmes such as: < span> < br> < div> < span> < span> - M.Sc. / M.Stat. / Ph.D. in Statistics from premier institutes (IISc, ISI Kolkata/Delhi, IITs, CMI, IISER) < span> < br> < div> < span> < span> - M.Tech. in AI/ML, Data Science, or related fields from IITs / IISc < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /div> < /span> < /span> < /span> < /span> < /b> < /span> < /div> < /span> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /span> < /b> < /span> < /div> < /span> < /span> < /div> < /span> < /span> < /div> < /span> < /span> < /span> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /div> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /div> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /div> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /span> < /span> < /span> < /div> < /span> < /span> < /span> < /span> < /span> < /b> < /span> < /div> < /span> < /span> < /span> < /b> < /span> < /div> < /div> < /div> < /div> < /div> < /div> < /span> < /span> < /b> < /p> < /span> < /div> < /span> < /p>

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Data Science & Analytics (Pune)
🏢 Sarvagram Fincare
📍 Pune