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About the Role

This role sits at the intersection of applied AI, data science, scalable data products, and people analytics. You will partner with cross-functional teams to identify high-value opportunities, design practical solutions, build working prototypes, and move validated ideas into production to address workforce and talent challenges.

Responsibilities

• Design, develop, and deploy AI/ML solutions, including LLM-powered applications, to solve complex workforce challenges.
• Translate ambiguous business and HR questions into scalable data products, models, and decision-support tools.
• Build and maintain end-to-end data science workflows from data extraction to model deployment and monitoring.
• Partner with HRBPs, talent leaders, and executives to deliver actionable insights on internal mobility, skills, performance, and workforce planning.
• Develop and productionize advanced analytics solutions using modern AI frameworks such as LLMs, embeddings, and RAG architectures.
• Create reusable data assets, semantic layers, and metadata frameworks to improve analytics scalability.
• Collaborate with data engineering teams to optimize data pipelines and ensure data quality.
• Communicate complex analytical findings and AI concepts clearly to non-technical stakeholders.
• Ensure responsible AI practices, including data privacy, bias mitigation, and ethical use of employee data.
• Stay current on emerging AI trends and identify opportunities to incorporate new technologies.

Requirements

• Bachelor’s degree in a quantitative field required; Master’s degree preferred.
• 4+ years of professional experience or equivalent relevant work experience.
• Experience within HR/People Analytics domain preferred.
• Demonstrated communication skills and experience in financial services.
• Leadership experience working with senior management and executive leadership.
• Ability to coach or mentor team members.
• Entrepreneurial self-starter with a results-oriented mindset.

Skills

• Programming and process automation (file I/O, database integrations, APIs, DevOps, data mining, web scraping).
• Data visualization (static and dynamic tools).
• Statistics and statistical modeling (inference, regression).
• Machine learning algorithms, feature selection, and extraction.
• SQL (complex queries, database exploration, troubleshooting).
• Modern AI frameworks (LLMs, embeddings, RAG, agentic workflows).
• Change management.

Location

• Chattanooga, TN
• Portland, ME
• Baton Rouge, LA
• Columbia, SC
• Hybrid

Work Type

• Full-time
• Hybrid

Experience Level

• Mid-level
• 4+ years

Education Level

• Bachelor’s degree
• Master’s degree preferred

Salary/Compensations

• $73,300.00 - $150,500.00

Benefits

• Performance Based Incentive Plans
• Health, Vision, and Dental insurance
• Short & Long-Term Disability
• Generous PTO
• Paid volunteer time
• Up to 9.5% 401(k) employer contribution
• Mental health support
• Career advancement opportunities
• Student loan repayment options
• Tuition reimbursement
• Flexible work environments

About the Company

• Unum is a Fortune 500 company and leading provider of employee benefits to companies worldwide.
• The organization has 10,000 employees helping more than 39 million people worldwide.
• Headquartered in Chattanooga, TN, with international offices in Ireland, Poland, and the UK.

Equal Opportunity

• 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.