Senior Data Scientist - AI & People Analytics

When you join the team at Unum , you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

Award-winning culture

Inclusion and diversity as a priority

Performance Based Incentive Plans

Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

Generous PTO (including paid time to volunteer!)

Up to 9.5% 401(k) employer contribution

Mental health support

Career advancement opportunities

Student loan repayment options

Tuition reimbursement

Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans .

And that’s just the beginning…

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:

Job Specifications

Bachelor’s degree in a quantitative field required; advanced degree preferred.

Minimum of 6 years of relevant analytical or data science experience.

Demonstrated depth in multiple core data science disciplines (e.g., ML/statistics, data engineering, automation).

Advanced SQL and data modeling experience across complex data environments.

Proven ability to independently manage multiple initiatives and provide direction to others.

Strong written and verbal communication skills.

Experience working in regulated or complex operational environments preferred.

Demonstrated leadership capability and a track record of delivering high-impact analytical solutions.

Technical Specifications

Hands-on experience with modern AI approaches (LLMs, embeddings, RAG, etc.) Vector databases (e.g., FAISS, Chroma) and RAG architectures

GitHub (including GitHub Copilot)

Web app frameworks (e.g., Streamlit, Dash, FastAPI) for building analytics products

Primary Responsibilities

Lead the design, development, and deployment of advanced statistical, machine learning, and AI solutions—including LLM-powered applications—to solve complex business, workforce, and organizational challenges.

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