Data Scientist

IDFC FIRST Bank · Bengaluru

  • Experience2–4 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted2 Sept 2026
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About IDFC FIRST Bank

IDFC FIRST Bank is hiring in Bengaluru in financial services. This role looks for around 2+ years of experience.

Skills

  • AI/ML systems
  • model governance
  • model monitoring
  • responsible AI
  • machine learning
  • Artificial intelligence

The role

A data scientist at a banking institution designs and deploys production-grade AI/ML systems for enterprise decision-making, applying responsible AI and model governance. The role translates business problems into scalable solutions, manages model monitoring, and delivers measurable outcomes with cross-functional stakeholders.

Full job description

Responsibilities:

Design, build, and scale production-grade AI solutions at IDFC First Bank to drive measurable business impact. Own solutions end-to-endfrom coding to deployment, governance, and cross-functional delivery.

Translate business problem statements into production-grade AI solutions with end-to-end ownership from discovery to deployment and monitoring.

Build, deploy, and maintain scalable AI/ML systems with strong engineering, reliability, and governance standards.

Engage stakeholders to define scope, assess data readiness, and identify the most effective solution approach.

Plan milestones, manage timelines, and drive initiatives from concept through delivery.

Implement responsible practices, including validation frameworks, guardrails, and compliance controls.

Communicate progress, risks, trade-offs, and outcomes clearly to senior leadership.

Stay current with emerging models, frameworks, and techniques and apply relevant innovations.

Collaborate cross-functionally with business, engineering, data, and risk teams to deliver enterprise-ready solutions.

Key Success Metrics:

Correct selection of AI approach (rules, AI or hybrid) for the problem on first implementation.

Models achieving agreed performance benchmarks and measurable business impact.

Stable, reliable production systems with minimal drift and fast issue resolution.

Cost-effective scalability as data, usage, and complexity grow.

Compliance with security, privacy, and regulatory standards with no critical incidents.

Clear stakeholder understanding of solution capabilities, risks, and limitations.