Join the Tilt team
At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward.
The Opportunity: Staff Data Scientist
We’re hiring for a Staff Data Scientist to help expand Tilt’s credit modeling and risk analytics capability for our India-based business, NIRA.
This is a high impact role with a direct mandate to build and refine underwriting models as well as other models, working at the intersection of credit, data science, and leadership.
You’ll collaborate with a lean but growing team, applying advanced modeling techniques to predict loss performance, leverage alternative data sources, and build next-generation tools that shape credit access for millions.




This is a hybrid role that requires 2x a week onsite in our Bangalore office.
How You'll Make an Impact
NIRA is undertaking a solid turn in unit economics with a view to growing to being the largest fintech in India, and this is an prospect to build foundational credit models and features from the ground up.
With direct exposure to leadership, your work will shape both near-term lending performance and long-term data infrastructure.
You will partner directly with cross-functional teams across credit, engineering, and leadership, bringing strong project and stakeholder management skills to a lean, fast-growing team.
Work with alternative data where the underwriting process and modeling reflect the maturity of the market
Why You're a Great Fit
7+ years of deep expertise in predictive modeling, ideally within credit risk or actuarial settings.
Strong proficiency in Python, SQL, and ML libraries like scikit-learn, LightGBM, XGBoost.
Familiarity with AI too

📌 Staff Data Scientist, NIRA (India)
🏢 Tilt Finance
📍 India