Senior Data Scientist-I | Chaitanya

Posted 22 Days Ago
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Pune, Maharashtra, IND
Hybrid
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.
The Role
Develops production-grade data science and analytics solutions across broad business problems. Responsibilities include statistical analysis, hypothesis testing, feature engineering, machine learning modeling, NLP, OCR, generative AI, prompt engineering, and MLOps using cloud AI services. The role mentors data scientists, partners with stakeholders, communicates insights through storytelling, and applies expertise to banking, financial services, and insurance use cases.
Summary Generated by Built In
Description and Requirements
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.
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!
#BI-Hybrid

Skills Required

  • 8-10+ years of relevant experience
  • Bachelor's degree in computer science, information technology, or equivalent
  • Python experience
  • Statistics and hypothesis testing experience
  • Feature engineering and modeling experience
  • Experience with scikit-learn, TensorFlow, and PyTorch
  • Experience with NLP technologies including spaCy, Transformers, and OCR
  • Generative AI experience, including large language models and prompt engineering
  • Azure ML or cloud AI/ML services experience
  • MLOps experience
  • Banking, financial services, and insurance domain knowledge
  • Strong communication, analytical, and structured problem-solving skills
  • Mentorship experience
  • Storytelling and partner or stakeholder engagement experience

What the Team is Saying

Chelsea
Nick
Naren
Laura
Bill
Jing Huang
Sara Strauch
Dan Xiao
Cara Mootz
Cara Mootz
Naren Peri
Patricia Hixson
Jing Huang
Samantha Heron
Pete Clarke
Erica Provido
Rene Rivera

MetLife Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is frequently described as robust, spanning medical, dental, vision, prescription benefits, and targeted programs for chronic or complex conditions. Feedback suggests access to multiple plan types, wellness resources, and expert second opinions strengthens the overall package.
  • Retirement Support — The combination of a 401(k) match and a company-funded pension is considered a standout element of total compensation. Feedback suggests this long-term security materially boosts perceived value beyond base salary alone.
  • Parental & Family Support — Paid parental leave, caregiving resources, and backup child and elder care are highlighted alongside family-building and fertility support. Feedback suggests these programs meaningfully complement standard benefits to support work-life needs.

MetLife Insights

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The Company
HQ: New York, NY
43,000 Employees
Year Founded: 1868

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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About our 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

Typical time on-site: Flexible
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