decision scientist

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