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.
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!
#BI-Hybrid
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!
#BI-Hybrid
MetLife Mahārāshtra, IND Office
MetLife Pune, IN Office
EON West LP-II, 2nd & 3rd Floor, Tower D, S.no. 106(P), 107(P), 108(P)/1, Maharashtra, India, 411057
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Performs data profiling, validation, quality testing, anomaly detection, pipeline monitoring, and quality reporting across cloud and on-premises environments. Builds validation rules and data quality artifacts, collaborates with business and technology stakeholders, leads solution design and estimation, and mentors Data Quality Analysts. Works with data lakes, data warehouses, datamarts, and enterprise data platforms.
Top Skills:
AtaccamaAzure Data FactoryAzure SynapseData CleansingData ProfilingETLGen AiHiveIdqNoSQLSQLTosca
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Data Analyst develops production-grade data and analytics solutions by translating business needs into functional requirements, analyzing and validating data, and contributing to architecture, governance, modeling, quality, engineering, and data science initiatives. The role independently leads solution design and estimation, collaborates with business and technology stakeholders, mentors analysts, and applies SQL, big data, cloud, and data storage expertise to solve complex business problems.
Top Skills:
AzureData LakesData MartsData WarehousesDatabricksDocument DatabasesErwinGenerative AiHadoopMedallion ArchitectureRdbms DatabasesServerless SqlSQL
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Build and maintain cloud or on-premises ETL/ELT pipelines for large-scale structured and unstructured data processing. Ensure data quality, security, and compliance while collaborating with business, technology, operations, governance, architecture, data science, DevOps, and BI teams. The role requires expertise in big data frameworks, Azure services, distributed databases, data warehouses, data marts, and data lakes.
Top Skills:
SparkAzure Data FactoryAzure Event HubsAzure FunctionsAzure SynapseCosmos DbData LakesData MartsData WarehousesDatabricksEltETLGen AiHadoopHbaseHiveNoSQLPythonScalaSQL
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
