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About the Role

We are seeking a mid-level Data Scientist to leverage AI, machine learning, and advanced analytics to address workforce and talent opportunities. This role bridges applied AI, data science, scalable data products, and people analytics, partnering with various departments to identify opportunities, design solutions, and implement them.

Responsibilities

• Design, develop, and deploy AI/ML solutions—including LLM-powered applications—that solve complex workforce and organizational 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 topics such as internal mobility, skills, performance, and workforce planning
• Develop and productionize advanced analytics solutions using modern AI frameworks (e.g., LLMs, embeddings, RAG architectures)
• Create reusable data assets, semantic layers, and metadata frameworks to improve analytics scalability and self-service
• Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and enable near real-time analytics
• Communicate complex analytical findings and AI concepts clearly to non-technical stakeholders, influencing strategic decision-making
• Ensure responsible AI practices, including data privacy, bias mitigation, and ethical use of employee data
• Stay current on emerging AI trends and proactively identify opportunities to incorporate new technologies into the organization

Requirements

• Bachelor’s degree in quantitative field is required
• Master’s degree is preferred
• 4+ years of professional experience or equivalent relevant work experience preferred
• Experience with file I/O, database integrations, and APIs to build automated analytics pipelines
• Understanding of process research and design
• Expertise on at least one visualization tool with working knowledge of others and expertise in static data visualization
• Understanding of dynamic data visualization
• Expertise using statistical inference and regression
• Solid understanding of machine learning algorithms
• Solid understanding of feature selection and extraction
• Conducts end-to-end machine learning tasks from problem synthesis to model deployment
• Expertise in writing complex SQL queries that join multiple tables/databases
• Independently explore databases/tables to identify best data sources to solve business problems
• Demonstrates ability to troubleshoot complex SQL queries with little guidance
• Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data
• Demonstrated communication skills
• Experience in financial services
• Leadership experience working with senior management and executive leadership
• Attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously
• Demonstrated ability to coach or mentor team members
• Ability to commit quickly and positively to change
• Viewed as a promoter of change management and leads proof of concept work and prototyping when necessary
• Entrepreneurial self-starter
• A thorough, results-oriented problem-solver
• A lifelong learner with voracious curiosity AND intermediate understanding of their organization
• Preferable experience within HR/People Analytics domain

Skills

• AI
• Machine learning
• Advanced analytics
• Applied AI
• Data science
• Scalable data products
• People analytics
• LLMs
• Embeddings
• RAG
• Agentic workflows
• Workflow automation
• Predictive modeling
• Programming
• Process automation
• Data Visualization
• Statistics
• Statistical modeling
• Data Extraction
• Transformation
• Loading
• SQL
• Data modeling

Location

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

Work Type

• Hybrid

Experience Level

• Mid-level
• 4+ years of professional experience or equivalent relevant work experience preferred

Education Level

• Bachelor’s degree in quantitative field
• Master’s degree preferred

Salary/Compensations

• $73,300.00-$150,500.00

Benefits

• 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
• Healthcare benefits (health, vision, dental)
• Insurance benefits (short & long-term disability)
• Performance-based incentive plans
• Paid time off
• 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution

About the Company

• 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.

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.