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Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Senior Data Scientist designs and deploys machine learning models, conducts data analysis, mentors colleagues, and ensures compliance with AI guidelines.
Top Skills:
Azure MlCloud Ai/Ml ServicesPythonPyTorchScikit-LearnSpacyTensorFlowTransformers
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Senior Data Modeller II translates business requirements into scalable data models, ensuring data integrity and best practices while providing leadership in data analytics talent.
Top Skills:
Azure SynapseData Modelling Tools Such As ErwinDatabricksETLJSONNoSQLOracleRestSoapSQLXML
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role involves implementing test automation strategies in financial services, utilizing CI/CD and Agile methodologies, and working with various testing frameworks and tools.
Top Skills:
Azure DevopsBlazemeterCi/CdJavaJmeterTypescript
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.
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.
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
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