Why This Job is Featured on The SaaS Jobs
Decision Science roles are increasingly central in SaaS businesses that blend product-led acquisition with embedded financial services. This position sits at that intersection, using behavioral and transactional signals to shape how a digital platform manages risk while improving conversion and retention. The remit spans user journeys, messaging effectiveness, and credit outcomes, reflecting how modern SaaS-style fintechs rely on analytics as a core product capability rather than a reporting function.
For a SaaS career path, the role offers durable experience in lifecycle analytics and decisioning. Work on churn and propensity modeling, segmentation, and funnel diagnostics builds a toolkit that translates across subscription and usage-based products, especially where personalization and trust are key. The emphasis on hypothesis-driven analysis, experimentation-minded thinking, and stakeholder impact tracking also mirrors how SaaS organizations operationalize data science into repeatable product and growth loops.
This role tends to suit a practitioner who enjoys owning problems end to end, from framing to measurement, and who is comfortable navigating trade-offs across product, risk, and compliance partners. It aligns with someone motivated by applied modeling and pragmatic decision support, and who prefers work that connects data outputs to concrete changes in user experience and business outcomes.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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
