Principal Data Scientist - CX Analytics

About this role

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: We are seeking a Principal Data Scientist to join the CX Analytics team within our Customer Experience Organization. In this role, you will drive applied data science work that goes beyond modeling—mining structured and unstructured data to uncover deeper drivers, patterns, and opportunities that inform how the business supports its customers. You will design and run experiments, develop analytical approaches to complex business questions, and connect findings to outcomes across BI/reporting, operations, and value stream partners. AI and LLMs are central to how our team works, both in how we write code and in how we extract signal from unstructured sources such as raw text, and you will play a key role in advancing these capabilities across the team.

As a hands-on technical leader, you will guide complex analytical workstreams while mentoring other Data Scientists and helping raise the bar for how the team applies advanced analytics. You will partner closely with BI Analysts and Data Engineers to ensure work is operationalized effectively and grounded in reliable data. The ideal candidate is a strong analytical thinker and collaborator who can work across structured and unstructured data, guide technical approach, and consistently translate complex data into meaningful outputs that support better decision-making across the organization.

This is a campus-based role. Current remote and field-based Unum employees may apply and will be considered in accordance with company policy.

Principal Duties and Responsibilities • Proactively partner with the business to provide actionable insights and identify growth opportunities; communicate analysis to obtain buy-in and drive decision making. • 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. • Build and maintain best practices for team's data science strategy; as well as staying informed of best practices across industries and striving for innovation and efficiency. • Prioritize and lead analytics projects • Apply domain expertise to modeling process using state-of-the-art techniques to construct 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 business partners to influence strategic decision making.  • Lead the integration of solutions within existing business processes using automation techniques. • Understand theory and application of current and emerging statistical methods and tools. • Coaches, mentors and develops peers and/or team members. • Perform other related duties as assigned.

Job Specifications • Bachelor’s degree in quantitative field is required, Master’s or PhD is preferred

• 8 years of professional experience or equivalent relevant work experience preferred

• Core Data Science Capabilities: Deep expertise in each of the following categories of skillsets is preferred

• Programming & Process automation: Experience with using file I/O, database integrations, and APIs to build automated analytics pipelines. Demonstrated experience using DevOps libraries to research and design processes including automation, data mining, web scraping, or object-oriented software is preferred. Experience engineering solutions using cloud platforms and exposure to scaling solutions in the cloud. Understands partnership with IT to deploy solutions. Demonstrated expertise at bringing analytics to scale

• Data Visualization: Demonstrates the ability to critically evaluate visualization suitability to specific scenarios.

• Statistics & Statistical Modeling: Expertise on statistical inference and regression. Expertise in machine learning, feature selection, and feature extraction. Demonstrated experience in leading multiple high-impact machine learning and analysis projects end-to-end

• Data Extraction, Transformation, and Loading skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Demonstrated through independent research of data sources, troubleshooting complex SQL queries, and leading partnerships with external data providers. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data.

• Core business capabilities : Strong communication skills, expertise in financial services, strong experi

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