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About the Role
As a Data Scientist, you will play a key role in developing AI and machine learning solutions to enhance customer journeys, pricing intelligence, and product personalization. You will collaborate cross-functionally with engineers, analysts, and product managers to apply machine learning to real-world applications impacting millions.
Responsibilities
- 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 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
Skills
- Python
- SQL
- Machine Learning
- Advanced Analytics
- Statistical Analysis
- Feature Engineering
- A/B Testing
- MLflow
- CI/CD
- Generative AI
- Large Language Models
Location
- London
Work Type
- Hybrid
About the Company
- Compare the Market is a purpose-driven business powered by tech and AI, building high-performing, results-driven teams.
- We create an environment where employees can bring their authentic selves, grow a characterful career, and see the direct impact of their work.
- We are a business built for pace and performance, encouraging employees to think differently, act boldly, and deliver brilliantly.
- We believe diverse teams make better decisions and are committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.