Senior Data Scientist – I MetLife

Earnmodes; Pune District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

MetLife is seeking a Senior Data Scientist in Pune, Maharashtra, for a hybrid full-time role. The candidate will contribute to production-grade data and analytics solutions, mentor data scientists, and tackle wide-ranging business challenges.

A strong foundation in machine learning, NLP, and cloud ML services is expected, with 8–10+ years of experience and a CS/IT degree. The position emphasizes analytical problem solving, communication, and stakeholder engagement, within MetLife’s AI-driven,

Qualifications

• 8-10+ years of relevant experience
• Bachelor's degree in computer science, information technology or equivalent educational qualification

Responsibilities

• Develop production-grade data and analytics solutions.
• Mentor data scientists.
• Solve wide-ranging business problems

Skills

Python

Statistics

Hypothesis testing

Feature engineering

Modeling

Scikit-learn

TensorFlow

PyTorch

NLP

spacy

Transformers

OCR

Generative AI

Prompt engineering

Communication skills

Analytical skills

Structured problem-solving

Mentorship experience

Storytelling skills

Stakeholder engagement

Azure ML

ML Ops

Banking domain knowledge

Education

Bachelor's degree in computer science, information technology or equivalent educational qualification

Tools

TensorFlow

PyTorch

scikit-learn

Transformers

SpaCy

OCR

Azure ML

ML Ops

Job description

Job Description

General Information
Location
Pune, Maharashtra
Working Schedule
Full-Time
Work Arrangement
Hybrid
Relocation Assistance Available
No
Posted Date
08-Nov-2026
Job ID
21539
Description and Requirements
Data Scientist plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical skills, machine learning. It is an individual contributor role. This role mentors data scientists . It is an individual contributor role, expected to solve wide ranging business problems

8-10+ years of relevant experience

Bachelors degree in computer science, information technology or equivalent educational qualification

• Python
• Statistics, hypothesis testing, Feature engineering, Modeling
• Machine learning frameworks: SCikit-learn, Tensorflow, Pytorch,
• Natural language processing (NLP): spacy, Transformers, OCR
• Generative AI: Large language Models, prompt engineering
• Communication skills, analytical skills, structured problem-solving skills.,
• Mentorship experience
• Storytelling skills ,Partner & Stakeholder engagement experience
• Azure ML or cloud AI/ML Services
• ML Ops
• Banking Financial Services and Insurance domain knowledge

About MetLife

Recognized on Fortune magazine’s list of the “World’s Most Admired Companies” and Fortune World’s 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

Our purpose is simple – to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values – Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead – we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible.Join us!

Source: Company Career page