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Data Scientist II - Gen AI​/Python​/AWS​/SQL

Job in Atlanta, Fulton County, Georgia, 31199, USA
Listing for: Unum Group
Part Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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!

General

Summary:

ð Data Scientist II | AI, Machine Learning & Advanced Analytics Passionate about AI and data-driven innovation? Join our innovation hub as a Data Scientist II, where you'll help solve high-impact business challenges using machine learning, generative AI, and advanced  this role, you'll develop proof-of-concept solutions, build and deploy AI models, and collaborate with stakeholders across the enterprise to turn complex data into actionable insights.

You'll work in a fast-paced, agile environment that encourages experimentation, continuous learning, and the application of emerging technologies to create measurable business value.

What you'll do:

Develop and evaluate machine learning and generative AI solutions

Build proof-of-concept applications to address business needs

Partner with cross-functional teams to identify opportunities and deliver insights

Apply advanced analytics to support strategic decision-making

Contribute to a culture of innovation and continuous improvement

This is a campus-based position that requires 3 day per week onsite.

Principal Duties and Responsibilities Design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value.

Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies.

Apply validation, aggregation, and reconciliation techniques to create rich modeling-ready data framework.

Construct and tune predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering.

Efficiently interpret results and communicate findings and potential value to influence manager and leadership decision making.

Support integration of solutions within existing business processes using automation techniques. Understand theory and application of current and emerging statistical methods and tools.

Provides support, training and/or mentorship to lower-level Data Science peers.

Perform other related duties as assigned

Job Specifications Bachelor’s degree in quantitative field is required, Master’s is preferred4 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:

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