Position Summary

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

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, 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)

Knowledge, Skills and Abilities

Education
- Bachelor’s degree in computer science, information technology or equivalent educational qualification
Experience
- 3-5+ years of relevant experience
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.
Valuable To have
- Azure ML or cloud AI/ML Services

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 advantages 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

📌 Data Scientist I (Hyderabad)
🏢 MetLife
📍 Hyderabad