Data Scientist II - Analytics & Insights

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!

We’re looking for a mid-level Data Scientist who can bridge the gap between our most important workforce and talent opportunities and what is possible with today’s AI, machine learning, and advanced analytics capabilities.

This highly visible role sits at the intersection of applied AI, data science, scalable data products, and people analytics. You will partner with HRBPs, Talent, Operations, IT, Legal, and data leaders to identify high-value opportunities, design practical solutions, build working prototypes, and help move validated ideas into production.

This is not a purely research-oriented data science role. We’re looking for someone who can help translate ambiguous talent and workforce challenges into clear problem statements, build tangible AI-enabled solutions that stakeholders can see and test, and partner across teams to ensure those solutions are responsibly deployed, adopted, and measured.

You’ll work with other data scientists and data engineers to build intelligent systems — not just models — using modern AI approaches such as LLMs, embeddings, RAG, agentic workflows, workflow automation, and predictive modeling. You’ll help shape the organization’s AI roadmap for workforce and talent analytics while ensuring solutions are practical, scalable, secure, ethical, and aligned to business value.

This role is ideal for someone who thrives in ambiguity, moves quickly from concept to prototype, exercises strong judgment about what is worth building, and can influence senior stakeholders through insight, technical credibility, and delivered outcomes.

Preferred experience within HR/People Analytics domain.

• Bachelor’s degree in quantitative field is required, Master’s is preferred
• 4+ years of professional experience or equivalent relevant work experience preferred
• Core Data Science Capabilities: Deep expertise in at least two of the following skillsets preferred; and competency in the other:
• Programming & Process automation: Experience with file I/O, database integrations, and APIs to build automated analytics pipelines. Understanding of process research and design, which may be demonstrated through use of Dev Ops, automation, data mining, web scraping, or object-oriented software is preferred.
• Data Visualization: Expertise on at least one visualization tool with working knowledge of others and expertise in static data visualization. Understanding of dynamic data visualization.
• Statistics & Statistical modeling: 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.
• Data Extraction, Transformation, and Loading: Preferred skills include:
  Expertise in writing complex SQL queries that join multiple…