decision scientist
CRED
Hyderabad, Telangana, India
Posted on Feb 16, 2026
Prefr (a brand under Dreamplug Technologies Pvt. Ltd.) is a tech-first fintech platform reshaping how India’s digital-first generation experiences credit. we currently offer instant personal loans from ₹50,000 to ₹5,00,000 through a seamless, end-to-end digital journey — serving India’s creditworthy yet underserved segments, in partnership with RBI-approved top-tier financial institutions. our mission to become the largest platform for delivering fast, transparent and trusted credit for the millions - by bringing together distribution depth, AI-driven intelligence & multi-lender access.
what will you do:
- analyze multi-dimensional data to identify user patterns, emerging trends, and risk signals that inform lending and growth strategies
- develop and maintain churn and propensity models to detect disengaged users and recommend data-driven interventions that improve retention and product stickiness
- lead campaign analytics by building user segments and evaluating communication effectiveness, with a focus on improving targeting, engagement, and in-funnel conversion performance
- partner with product teams to guide feature development, using insights from cohort analysis, funnel diagnostics, and retention trends to improve user journeys and experience
- collaborate with cross-functional teams including product, risk, tech, compliance, and business to build and execute analytical solutions aligned with organizational priorities
- own the end-to-end execution of strategic analytical initiatives, from problem framing and hypothesis design to stakeholder communication and impact tracking
- support and mentor junior analysts, fostering analytical rigor and promoting best practices in data hygiene, modeling, and experimentation across the broader analytics team
you should apply if you:
- have 4+ years of hands-on experience in data science or analytics roles, solving real-world business problems
- hold a bachelor's or master’s degree in a quantitative field such as engineering, statistics, mathematics, or a related discipline
- have strong analytical skills with the ability to interpret diverse datasets and translate insights into solutions for specific business challenges
- have strong proficiency in python and/or SQL, with experience handling large datasets and working with distributed computing tools
- communicate effectively and enjoy collaborating with cross-functional teams, including product, business, and risk