Data Scientist

Compare the Market

Data Scientist role at Compare the Market focused on AI and machine learning solutions. Collaborating cross-functionally to enhance customer journeys and product personalization.

Posted 6/1/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Contribute to the development of machine learning solutions from design through to deployment
Build and evaluate predictive models using Python and SQL
Translate business challenges into structured data science problems
Conduct statistical analysis and feature engineering to generate actionable insights
Support A/B test design, evaluation, and interpretation with rigour and clarity
Collaborate with stakeholders to ensure data science solutions are well aligned to product and business needs
Work with ML Engineers to support deployment, monitoring, and performance tracking of your models
Contribute to team standards on reproducibility, documentation, and model evaluation
Apply responsible AI practices to ensure fairness and transparency
Take part in peer reviews, knowledge sharing, and internal learning sessions
Support and coach junior team members and peers, contributing to their growth
Play an active role in shaping our data science culture and community

Requirements

What you’ll need

Experience delivering machine learning or advanced analytics solutions with measurable impact
Proficient in Python and SQL, with practical experience in modelling, feature engineering, and evaluation
Strong problem-solving skills and ability to break down complex problems into data-driven approaches
Comfortable working collaboratively in cross-functional teams
Clear communicator with a passion for sharing insights and learning from others
A background in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics, Engineering) or equivalent hands-on experience in applied machine learning
Experience working in regulated sectors such as insurance, banking, or financial services
Familiarity with tools like MLflow, model registries, or experimentation platforms
Understanding of basic CI/CD concepts or exposure to production ML workflows
Interest in generative AI or large language models (e.g. OpenAI, Vertex AI)
Awareness of responsible AI principles, such as fairness or explainability in models

Benefits

Comp & perks

Health insurance
Flexible working hours
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningpredictive modelingPythonSQLstatistical analysisfeature engineeringA/B testingmodel evaluationresponsible AICI/CD

Soft Skills

problem-solvingcollaborationcommunicationcoachingknowledge sharingteamworkcritical thinkingadaptabilityleadershipmentoring