Senior Data Scientist – GenAI, Python, AWS, SQL

Unum UK

Senior Data Scientist leveraging AI and advanced analytics to tackle strategic challenges at Unum. Design solutions and work collaboratively across teams to drive impactful results.

Posted 5/14/2026full-timeChattanooga • Maine, Tennessee • 🇺🇸 United StatesSenior💰 $89,400 - $183,500 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact

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 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 data models combining internal and external datasets; lead conversations with external data providers when needed.
Build automated analytics pipelines leveraging scripting, APIs, DevOps 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.
Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners.

Requirements

What you’ll need

Bachelor's in a quantitative field required (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

Benefits

Comp & perks

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