GG11.1 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 mentors data scientists . It is an individual contributor role, expected to solve wide ranging business problems Experience 8-10+ years of relevant experience Education Bachelors degree in computer science, information technology or equivalent educational qualification 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, evalulate and improve model performance.• Ensure model development follows quality, secutiry , compliance, explaiability 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 Technical Skills • 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 • 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.
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!
#BI-Hybrid
Skills Required
- 8-10+ years of relevant experience
- Bachelor's degree in Computer Science, Information Technology or equivalent
- Python
- Statistics, hypothesis testing, feature engineering, modeling
- Machine learning frameworks: Scikit-learn, TensorFlow, PyTorch
- Natural language processing: spaCy, Transformers, OCR
- Generative AI: Large Language Models and prompt engineering
- Communication, analytical, structured problem-solving and storytelling skills; stakeholder engagement
- Mentorship experience
- Azure ML or cloud AI/ML services
- MLOps experience
- Banking, Financial Services and Insurance domain knowledge
What the Team is Saying
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MetLife Compensation & Benefits Highlights
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Retirement Support — Feedback suggests retirement programs pair a 401(k) with company match and additional retirement plan structures, indicating a mature long‑term savings setup. This depth signals stability for employees prioritizing retirement security.
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Healthcare Strength — Comprehensive medical, dental, vision, disability, and life insurance are paired with wellness initiatives and 24/7 EAP access, indicating broad core coverage. HSAs/FSAs and second‑opinion resources further reinforce the healthcare offering.
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Parental & Family Support — Fertility coverage, personalized child/elder‑care guidance, adoption assistance, parental leave, and breast‑milk shipping for traveling nursing parents are highlighted. These supports extend benefits meaningfully beyond the basics.
MetLife Insights
What We Do
We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
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MetLife Teams
MetLife Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together
