01Overview
Title : Lead Data Scientist
Location: Noida (On-site, Full-time)
About Us
We build technology that powers some of the fastest-growing lending and investment businesses across the globe. Our platforms process hundreds of millions of records every month, helping financial institutions grow portfolios, reduce risk, and detect fraud in real time. Behind this impact is a tight-knit team of engineers, data scientists, and domain experts working at the intersection of technology, data, and financial decisioning.
If youre excited by high-scale systems, real production AI, and building products that directly impact financial ecosystems, youll feel at home here.
Role Overview
As a Lead Data Scientist, you wont just build modelsyoull shape how financial institutions make decisions at scale. You will lead the design and deployment of production-grade ML systems that power credit underwriting, fraud detection, early warning systems, and portfolio intelligence. This is a handson leadership role with direct ownership of outcomes in live customer environments.
Why This Role Matters
Your models run in live production, not pilots or POCs
You work on large-scale, real-world financial data
Your decisions influence millions of loans and transactions every month
You mentor and shape the next generation of applied AI talent
Key Responsibilities
Lead end-to-end data science initiatives from problem framing to deployment and monitoring
Design, build, tune, and productionize ML/statistical models for credit risk, fraud, and portfolio analytics
Analyze large structured and unstructured datasets to identify patterns, anomalies, and insights
Partner closely with product, engineering, and business teams to embed models into core platforms
Mentor junior data scientists and establish best practices for experimentation and deployment
Ensure robustness, explainability, accuracy, and compliance of AI models
Stay current with advances in AI/ML and apply them pragmatically to product innovation
Qualifications & Skills
Masters/PhD in Data Science, Statistics, Computer Science, Mathematics, or related field
8+ years of experience in data science, including leadership of complex initiatives
Strong grounding in ML algorithms, statistics, and applied AI
Handson experience building and deploying models end-to-end
Domain exposure to fintech, credit risk, fraud, or financial modeling preferred
Strong communication skills with ability to influence technical and non-technical stakeholders
