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:

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 development of advanced statistical, machine learning, and AI solutions that support strategic and operational decision-making.

• Apply domain and business expertise to translate complex problems into well-defined analytical approaches and scalable solutions.

• Design and oversee end-to-end data science workflows, including data extraction, validation, modeling, deployment, and performance monitoring.

• Integrate data from multiple internal and external sources to produce modeling-ready datasets and reusable data assets.

• Build predictive and prescriptive models to explain outcomes, forecast behavior, and identify risk or opportunity.

• Play a lead role in embedding analytics and AI solutions into existing business processes through automation and system integration.

• Partner with data engineering, IT, and business teams to ensure solutions meet architectural, security, and quality standards.

• Provide technical leadership across data science initiatives, ensuring consistency with agreed-upon methodologies and quality attributes.

• Communicate analytical results and implications clearly to leaders, enabling informed decision-making.

• Coach and mentor less experienced data scientists; provide guidance on prioritization, approach, and technical execution.

• Ensure adherence to responsible AI standards, including privacy, bias mitigation, and ethical use of employee data.

• Maintain awareness of emerging analytics and AI techniques and evaluate applicability to enterprise use cases.

#LI-AD1

#LI-MULTI

~IN1

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$89,400.00-$183,500.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum