Description and Requirements Role Value Proposition: The GG - 8 Data Scientist is an entry - level role designed for early - career analytical talent. This position supports the full data and analytics lifecycle under close guidance from senior colleagues. The role contributes to production - grade data science solutions while developing strong foundational skills in analytics, machine learning, data preparation, LLM - based analysis, and business understanding. The role also provides exposure to modern AI - augmented workflows, including foundation model adaptation and responsible AI practices.
Objectives of This Role: - Build core analytical and machine learning fundamentals through hands - on project work.
- Support the development, validation, and deployment of analytics and machine learning models.
- Learn to interpret analytical outputs and communicate clear business insights.
- Develop a foundational understanding of LLM concepts, prompt engineering, RAG workflows, and AI governance.
Key Responsibilities: - With supervision, participate in basic analytical tasks and project assignments.
- Learn and contribute to the development of simple machine learning solutions.
- Perform exploratory data analysis and feature engineering activities.
- Support preparation of datasets, model development, evaluation, and deployment tasks.
- Under guidance, design, build, validate, and deploy production - grade rule - based and machine learning models using structured and unstructured data.
- Assist with adapting or fine - tuning foundation models and large language models for internal use cases.
- Use AI copilots and AI - augmented tooling to accelerate analysis and validate generated outputs for accuracy.
- Monitor and evaluate model performance and document findings.
- Ensure development follows quality, security, compliance, explainability, and responsible AI guidelines.
Essential Business Experience and Technical Skills: Required: - Bachelor's degree in Mathematics, Statistics, Operations Research, Social Sciences, Computer Science, Engineering, or related quantitative field.
- 0-2 years of relevant experience in data science, analytics, or related quantitative domains (internships or academic projects acceptable).
- Technical skills in Python, statistics, hypothesis testing, feature engineering, and modeling.
- Exposure to machine learning frameworks such as scikit - learn, TensorFlow, and/or PyTorch.
- Exposure to NLP tools such as spaCy, Transformers, and/or OCR technologies.
- Strong analytical, communication, and structured problem - solving skills.
Preferred: - Introductory experience with Generative AI concepts, including prompting, embeddings, vector stores, and RAG workflows.
- Ability to work with AI copilots and AI - augmented development environments.
- Portfolio of academic, internship, or personal data science projects is a plus.
At MetLife, we're leading the global transformation of an industry we've long defined. United in purpose, diverse in perspective, we're dedicated to making a difference in the lives of our customers. Location Expectation: This is a hybrid role
requiring a minimum of 3 days per week in office.
The expected salary range for this position is $65,050 to $83,600. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.
Benefits We Offer Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, volunteer time off, tuition assistance and much more!
About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World's 25 Best Workplaces , as well as the Fortune 100 Best Companies to Work For , 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!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").
If you need an accommodation due to a disability, please email us at This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
$65,050 to $83,600
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