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IDFC FIRST Bank

Senior Data Scientist- AI Labs

IDFC FIRST Bank Bengaluru, Karnataka, India

Banking · 10,001+ employees

13 h ago
data-scientist Senior (5-10 yrs) Full-time India
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About the role

Design, build, and scale production-grade AI solutions while maintaining end-to-end ownership from discovery to deployment. Collaborate with cross-functional teams to ensure enterprise-ready systems that meet performance, reliability, and compliance standards.

What they look for

Artificial Intelligence Machine Learning Data Science Production Deployment Governance Stakeholder Management Reliability Engineering Validation Frameworks Compliance Risk Management Data Analytics System Scalability Model Monitoring Cross-functional Collaboration

Requirements

Requires a Bachelor's or Master's degree in a technical field such as Computer Science or Technology. Candidates must demonstrate the ability to translate business problems into scalable AI/ML systems with strong engineering and governance practices.

Full description

Job Requirements Job Title: Data Scientist

Function/Department: Data & Analytics

Job Purpose:

Design, build, and scale production‑grade AI solutions at IDFC FIRST Bank, to drive measurable business impact. Own solutions end‑to‑end—from coding to deployment, governance, and cross‑functional delivery.

 

Job & Responsibilities:

·      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.

 

Education Qualification: 

Graduation: Bachelor of Science / Bachelor of Technology / Bachelor of Computer Applications

Post-Graduation: Master of Science /Master of Technology / Master of Computer Applications

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