Data Scientist

🕒 June 1

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Compare the Market

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏪 Marketplace

👥 B2C

💸 Finance

Marketplace • B2C • Finance

Compare the Market is a UK-based consumer price comparison and marketplace platform that helps millions of people search, compare, switch, and save on products such as insurance, utilities, credit cards, and loans. Launched in 2006, it combines technology, data and AI to power personalised, easy-to-use comparison tools and customer experiences, operating as a fast-moving, high-performance B2C business focused on simplifying financial decisions.

📋 Description

• 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

• 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

• Health insurance • Flexible working hours • Professional development opportunities