The Senior Data Scientist designs and deploys machine learning models, conducts data analysis, mentors colleagues, and ensures compliance with AI guidelines.
Description and Requirements
Position Summary
MetLife 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 MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife 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 LatAm & 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 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
Position Summary
MetLife 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 MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife 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 LatAm & 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 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
Top Skills
Azure Ml
Cloud Ai/Ml Services
Python
PyTorch
Scikit-Learn
Spacy
TensorFlow
Transformers
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