Data Scientist

So are we. Join Compare the Market and help to make financial decision making a breeze for millions.

At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.

We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in.

We’d love you to be part of our journey.

As a Data Scientist at Compare the Market, you’ll play a key role in developing AI and machine learning solutions that improve customer journeys, pricing intelligence, and product personalisation. Working cross functionally alongside engineers, analysts, and product managers contributing to real-world applications of machine learning that impact millions.

Some of the great things you’ll be doing:

AI Solution Delivery

• 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

Applied Science & Experimentation

• 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

Platform & Practices

• 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

Team & Learning

• Take part in peer reviews, knowledge sharing, and internal learning sessions
• Support and coach junior team members and peers, contributing to their growthPlay an active role in shaping our data science culture and community

Do you have experience in SQL?, * 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

Nice to Have

• 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