Country

India

Working Schedule

Full-Time

Work Arrangement

Hybrid

Relocation Assistance Available

No

Posted Date

08-Apr-2026

Job ID

16760

Description and Requirements

Position Summary:

Met Life established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make Met Life future ready. The center is integral to Global Technology and Operations with a focus to protect & build Met Life IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and Lat Am & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science

Role Value Proposition:

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 mentor’s data scientists. It is an individual contributor role, expected to solve wide ranging business problems

Job Responsibilities:

• Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data • Perform exploratory data analysis, feature engineering • Monitor, evaluate and improve model performance.
• Ensure model development follows quality, security , compliance, explainability and responsible use of AI guidelines, • Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights) • Mentor Data Scientists • Independently lead design, solutioning & estimations

Knowledge, Skills and Abilities

Education:

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

Technical Skills and Experience:

• 8-10+ years of relevant experience

• 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

Good to Have (Preferred)

• Azure ML or cloud AI/ML Services • ML Ops • Banking Financial Services and Insurance domain knowledge

About Met Life

Recognized
on Fortune magazine's list of the "World's Most Admired Companies"
and Fortune World’s 25 Best Workplaces™, Met Life, 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.

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 Met Life, it’s #All Together Possible. Join us!

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