Data Scientist II – Gen AI, Python, AWS, SQL

Unum UK

. Develop and evaluate machine learning and generative AI solutions .

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $73,300 - $150,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and evaluating machine learning and generative AI solutions, with a strong focus on data integration, predictive modeling, and statistical methods. Capable of providing mentorship and support to peers while effectively communicating insights to leadership.

Highest-signal resume keywords

Machine Learning AlgorithmsPredictive ModelingSQL Query WritingData Visualization ToolsStatistical Inference

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData MiningStatistical MethodsPredictive ModelingSQLData IntegrationOptimizationSimulationFeature SelectionFeature Extraction

Soft Skills

Communication SkillsAttention to DetailMentorshipProject ManagementAdaptability

Tools & Technologies

DB2SQL ServerWeb APITeradataData Visualization Tools

Industry Keywords

Financial ServicesData ScienceAutomationDevOps

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Develop and evaluate machine learning and generative AI solutions
Build proof-of-concept applications addressing business needs
Partner with cross-functional teams to identify opportunities and deliver insights
Apply advanced analytics to support strategic decision-making
Design and execute analytical solutions using optimization, simulation, data mining, and statistical methods
Integrate large volumes of data from DB2, SQL Server, Web API, and Teradata
Create data assets for ad-hoc analyses and larger studies
Apply validation, aggregation, and reconciliation techniques to create modeling-ready data frameworks
Construct and tune predictive models for explanation, forecasting, risk scoring, and clustering
Interpret results and communicate findings and potential value to managers and leadership
Support integration of solutions into existing business processes using automation techniques
Understand and apply current and emerging statistical methods and tools
Provide support, training, and mentorship to lower-level Data Science peers
Perform other related duties as assigned

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 core data science skillsets preferred, with competency in the others
Experience with file I/O, database integrations, and APIs for automated analytics pipelines preferred
Understanding of process research and design, potentially demonstrated through DevOps, automation, data mining, web scraping, or object-oriented software preferred
Expertise in at least one data visualization tool and working knowledge of others
Expertise in static data visualization and understanding of dynamic data visualization
Expertise using statistical inference and regression
Solid understanding of machine learning algorithms, feature selection, and feature extraction
Ability to conduct end-to-end machine learning tasks from problem synthesis to model deployment
Expertise writing complex SQL queries joining multiple tables/databases
Ability to independently explore databases and tables to identify data sources
Ability to troubleshoot complex SQL queries with little guidance
Ability to create logical data models from multiple internal and external data sources
Demonstrated communication skills
Experience in financial services
Leadership experience working with senior management and executive leadership
Attention to detail and ability to prioritize work and manage multiple projects independently
Ability to coach or mentor team members
Ability to commit quickly and positively to change
Must work onsite 3 days per week in a campus-based position

Benefits

Comp & perks

Award-winning culture
Inclusion and diversity as a priority
Performance Based Incentive Plans
Competitive benefits package including 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
Healthcare benefits (health, vision, dental)
Insurance benefits (short & long-term disability)
Paid time off
401(k) retirement plan with employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not