Data Scientist II - Gen AI​/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 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.

Are you passionate about leveraging AI, machine learning, and advanced analytics to solve meaningful business challenges? Do you enjoy working in a collaborative, innovation-focused environment where you can explore new ideas, build data-driven solutions, and contribute to the advancement of AI capabilities? If so, this opportunity may be a great fit for you.

Bachelor's degree in a quantitative field required. Master’s is preferred 4+ years of professional experience or equivalent relevant work.

Deep expertise in at least two of the following skillsets preferred; and competency in the other:

• Programming & Automation:
  Python required; experience with automation, Dev Ops practices, APIs, file I/O, and database integrations. Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable). Exposure to object‑oriented development and scalable architecture.
• Data Visualization:
  Expertise across multiple visualization tools and techniques. Ability to tailor visuals to business use cases and audiences.
• Statistics & Machine Learning:
  Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms. Familiarity with generative AI approaches is a plus.
• Data Engineering / ETL:
  Strong SQL skills; ability to design, debug, and optimize complex queries. Ability to navigate and explore large databases independently. Experience combining internal and external data sources.

• Strong communication skills, including the ability to influence senior leaders.
• Project management experience and strong business acumen (financial services experience a plus).
• Ability to manage multiple concurrent initiatives in a fast‑moving environment.
• Comfortable facilitating engagements and representing analytics with executive leadership.

• 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 (e.g., 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 with minimal guidance.
• Develop logical…