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

Unum; Chattanooga (TN); On-site; USD 90,000 - 120,000; Full time

Job summary

Unum in Chattanooga is seeking a Data Scientist II to join our AI, ML & Advanced Analytics team on a campus-based program requiring three days per week onsite. You will develop and deploy machine learning models, generate insights, and partner with cross-functional teams to translate data into business value.

The role demands strong SQL and data science fundamentals, experience with generative AI, and the ability to communicate findings to non-technical stakeholders.

Qualifications

• Bachelor's degree in quantitative field is required. Master’s preferred.
• 4 years of professional experience or equivalent relevant work experience preferred.
• Core Data Science capabilities include programming/automation, data visualization, and statistics/modeling.

Responsibilities

• 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.
• Provide mentorship to lower-level Data Science peers.

Skills

Programming & Automation

Data Visualization

Statistics & Modeling

Education

Bachelor's degree in quantitative field

Master's degree

Tools

SQL

DB2

SQL Server

Teradata

APIs

Job description

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: 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 analytics.

In 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 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 DevOps, 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 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 so