Data Scientist II – CX Analytics

Unum UK

Data Scientist II executing analytical solutions using AI and data mining techniques at Unum. Collaborating with teams to deliver actionable business insights from complex data.

Posted 7/31/2026full-timePortland • Maine, South Carolina, Tennessee • 🇺🇸 United StatesMid-LevelSenior💰 $73,300 - $150,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, data integration, and automation techniques to deliver actionable insights and support decision-making processes. Proficient in data visualization and communication, with a strong ability to mentor and lead teams in a financial services context.

Highest-signal resume keywords

Statistical ModelingData IntegrationData VisualizationSQL Query WritingProcess Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical InferenceRegression AnalysisPredictive ModelingData MiningOptimization TechniquesSimulation MethodsData ExtractionData TransformationData LoadingFile I/O

Soft Skills

Communication SkillsAttention to DetailLeadership ExperienceProject ManagementMentorship

Tools & Technologies

DB2SQL ServerWeb APITeradataData Visualization Tools

Industry Keywords

Financial ServicesBusiness ValueAnalytical SolutionsAutomation TechniquesData Assets

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Bachelor’s degree in quantitative field is required, Master’s is preferred
4 years of professional experience or equivalent relevant work experience preferred
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.
Data Visualization: Expertise on at least one visualization tool with working knowledge of others and expertise in static data visualization.
Statistics & Statistical modeling: Expertise using statistical inference and regression.
Data Extraction, Transformation, and Loading: Preferred skills include expertise in writing complex SQL queries that join multiple tables/databases.
Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously.

Benefits

Comp & perks

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