Ovii Job Board

Staff Data Scientist, NIRA

Tilt

Hybrid - Bengaluru, India • Hybrid - Hybrid - Bengaluru, India • Full-Time • 7+ years

Posted 2026-08-19 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

Tilt is hiring a Staff Data Scientist to design and own credit underwriting models for its NIRA platform in India. You will apply advanced predictive modeling, work with alternative data, and partner with cross‑functional teams to shape lending performance for millions of users.

Role Snapshot

  • Build and refine credit underwriting models
  • Own end‑to‑end predictive modeling projects
  • Partner with credit, engineering, and leadership teams
  • Leverage alternative data and ML libraries
  • Drive stakeholder communication and alignment
  • Operate in a high‑growth fintech environment

Must-Have Requirements

  • Python
  • SQL
  • scikit‑learn
  • LightGBM
  • XGBoost
  • Predictive modeling
  • Credit risk modeling
  • Stakeholder management
  • Credit risk analytics
  • End‑to‑end model ownership

Nice-to-Have Signals

  • Fintech experience
  • Legacy credit system knowledge
  • Funnel management exposure
  • India credit market familiarity
  • Deep learning frameworks (TensorFlow, PyTorch)
  • AI tools (Claude, Codex)
  • Fintech lending
  • Alternative data integration
  • Deep learning
  • Alternative data
  • India credit market

Work Setup

  • Location: Bengaluru, India
  • Work mode: HYBRID
  • Employment type: Full-Time

What You'll Likely Work On

  • Design and implement foundational credit risk models from scratch
  • Integrate alternative data sources into underwriting pipelines
  • Shape both short‑term lending performance and long‑term data infrastructure
  • Collaborate with cross‑functional teams to drive model‑driven outcomes
  • Present complex analytical findings to non‑technical leadership
  • Manage projects end‑to‑end, including validation and monitoring
  • Navigate a fast‑moving, ambiguous environment with lean teams

Good Fit If You Have

  • Fintech or credit‑lending experience (nice‑to‑have)
  • Familiarity with legacy credit systems and modernization
  • Exposure to India’s credit market and regulatory context
  • Experience with deep‑learning frameworks such as TensorFlow or PyTorch
  • Comfort with AI tools like Claude or Codex

Skills

  • Python
  • SQL
  • scikit‑learn
  • LightGBM
  • XGBoost
  • Predictive modeling
  • Credit risk analytics
  • Stakeholder management