Enterprise Analytics & Strategy /Data Scientist

Experience: 3- 10 Years

Location: Ghansoli office, Navi Mumbai

About the Role:

We, at Shriram Finance, are building an Enterprise Analytics function that goes beyond dashboards and reporting. Our mission is to transform analytics into strategic business capabilities that drives growth, strengthen Portfolio quality, improves customer experience, and unlocks new revenue opportunities.

You will work directly with senior business leaders to solve high-impact business problems across lending, risk, customer life cycle, pricing, digital, collection, fraud and portfolio strategy.

If you enjoy solving business problems using data, not just building reports, this role is for you. This is Techno-Functional Role.

What you will OWN:

• Business Growth:

• Identify opportunity to improve acquisition, conversion and customer profitability

• Design analytics framework to accelerate business growth

• Support strategic initiatives through data-driven recommendations

• Credit & Risk Analytics:

• Build underwriting and portfolio monitoring strategies

• Develop Early Warning Systems (EWS)

• Improve Portfolio quality using predictive analytics

• Customer Analytics:

• Build Customer 360 capabilities

• Drive segmentation, personalization and cross-sell strategies

• Improve customer lifetime value

• Pricing and Profitability:

• Support Risk-based Pricing

• Measure profitability at customer, product and portfolio levels

• Optimize portfolio returns

• Digital Analytics:

• Analyze customer journeys

• Improve digital conversion

• Measure feature adoption and customer engagement

• Portfolio Analytics:

• Monitor portfolio health

• Build MIS and executive dashboards

• Identify emerging business opportunities

We value People who:

• Think like business owner rather than report/ MIS builders

• Can translate Data into business decisions

• Challenge assumptions with facts

• Simplify complex problems

• Communicate confidently with senior stakeholders

• Learn quickly and embrace ambiguity

• Are curios, collaborative and execution-focused

Requirements:

• Strong knowledge of SQL, Python, Excel, PowerBI, Statistics, Predictive Analytics

• Exposure to AI/ML, Experiment Design, Bureau data, Alternative data, BREs, A/B testing are added advantages

• Strong analytical, conceptual, and problem-solving abilities.

• Experience within Lending Industry (Bank/ NBFC/ Fintech/ Digital Lending platforms etc.) is must