Senior Data Scientist - GenAI​/Python​/AWS​/SQL

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. We ensure every team member enjoys opportunities to succeed both professionally and personally.

• 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

We are seeking a Senior Data Scientist to join our innovation hub—a small, agile team tackling the company’s most strategic challenges. You’ll build POCs, develop end‑to‑end machine learning and generative AI solutions, and work directly with senior leaders across the enterprise.

• Bachelor’s in a quantitative field (Master’s/PhD preferred)
• 6+ years of experience in data science or machine learning
• Strong Python and SQL skills
• Experience with cloud platforms (AWS preferred; Azure/GCP comparable)
• Databricks + PySpark experience is a strong plus
• Background in statistical modeling, ML algorithms, and feature engineering
• Ability to build automated analytics workflows and work with APIs
• Strong communication skills with experience influencing senior stakeholders
• Entrepreneurial mindset, curiosity, and comfort working in fast‑moving environments

• Bachelor’s degree in a quantitative field required;
  Master’s or PhD preferred
• 6+ years of professional experience or equivalent relevant work
• Proven track record leading end‑to‑end data science projects with measurable business impact

• Programming & Automation:
  Python, Dev Ops practices, APIs, file I/O, database integrations
• Cloud Engineering:
  Experience in AWS (preferred);
  Azure or Google Cloud comparable
• Data Visualization:
  Expertise across multiple visualization tools and techniques
• Statistics & Machine Learning:
  Inference, regression, feature selection/extraction, large‑scale modeling, generative AI approaches
• Data Engineering / ETL:
  Strong SQL, complex query design, data integration, handling large databases

• Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling
• Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering
• Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs
• Evaluate alternative approaches and select appropriate modeling techniques for each use case
• Integrate and transform large volumes of data from diverse sources (DB2, SQL Server, Teradata, APIs) to support analytics and experimentation
• Build modeling‑ready datasets using validation, reconciliation, feature engineering, and aggregation techniques
• Write complex SQL queries involving multi‑table joins, data exploration, and troubleshooting
• Build automated analytics pipelines leveraging scripting, APIs, Dev Ops practices, and cloud platforms
• Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes
• Develop and deliver clear, compelling visualizations tailored to various audiences
• Communicate actionable insights that influence senior leaders and key business partners
• Coach, mentor, and develop junior data scientists; provide technical guidance and feedback
• Lead data science initiatives, ensuring outputs meet quality standards
• Stay current on emerging statistical methods, machine learning advancements, and generative AI tools
• Conduct independent R&D to prototype new approaches and explore innovative solutions for high‑visibility business problems

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.

Base salary range for this position is $89,400.00–$. Salary will be based on skill, geographical location, and experience. Benefits 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 regardless of employee contribution.

All benefits are subject to the terms and conditions of individual plans.