Jobs and Careers

Senior Data Scientist - AI & People Analytics

Chattanooga, United Statesfull_timeVerifiedPosted 29 May 2026

💰 $183,500/yr($89,400/yr – $183,500/yr)

About the role

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:

We’re looking for a Senior Data Scientist passionate about using AI, ML, and LLMs to transform how organizations understand and optimize their workforce. This highly visible role sits at the intersection of advanced AI, scalable data engineering, and people analytics, partnering with senior HR and business leaders to deliver production‑grade solutions.

You’ll architect intelligent systems—not just models—translate complex workforce data into actionable insights and help shape our AI roadmap. If you thrive in ambiguity, own end‑to‑end solutions, and want to influence talent strategy, organizational design, and employee experience, we’d love to talk.

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.
Translate ambiguous business and HR questions into well-defined analytical approaches, scalable data products, and decision-support tools.
Design and oversee end-to-end data science workflows, including data extraction (e.g., enterprise data warehouses), validation, modeling, deployment, and performance monitoring.
Integrate data from multiple internal and external sources to create modeling-ready datasets, reusable data assets, semantic layers, and metadata frameworks that enable scalable and self-service analytics.
Develop and productionize predictive and prescriptive models to explain outcomes, forecast behavior, and identify risks and opportunities.
Build and deploy advanced AI solutions using modern frameworks (e.g., LLMs, embeddings, RAG architectures), and lead experimentation and rapid prototyping to evaluate emerging capabilities.
Embed analytics and AI solutions into business processes through automation, system integration, and near real-time data capabilities.
Partner with HR Business Partners, talent leaders, executives, data engineering, and IT teams to deliv