At a Glance
- Tasks: Develop AI and machine learning solutions to enhance customer experiences and pricing intelligence.
- Company: Join Compare the Market, a purpose-driven tech company making financial decisions easier.
- Benefits: Hybrid work, competitive salary, and opportunities for personal and professional growth.
- Other info: Be part of a diverse team that values results and encourages bold thinking.
- Why this job: Make a real impact on millions while working in a fast-paced, innovative environment.
- Qualifications: Experience in machine learning, proficient in Python and SQL, strong problem-solving skills.
The predicted salary is between 50000 - 70000 £ per year.
Curious about what’s next? 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.
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
- 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
What we’d like to see from you:
- Must Have
- 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
- Awareness of responsible AI principles, such as fairness or explainability in models
Why Compare the Market? We’re a business built for pace and performance. Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.
Data Scientist employer: Compare The Market Limited
At Compare the Market, we pride ourselves on being a purpose-driven employer that fosters a dynamic and inclusive work culture. As a Data Scientist in our London office, you'll have the opportunity to work with cutting-edge technology and collaborate with talented professionals across various disciplines, all while contributing to meaningful projects that impact millions. We offer a supportive environment for personal and professional growth, encouraging you to bring your authentic self to work and make a real difference in the financial decision-making landscape.
Contact Details:
Compare The Market Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Compare the Market on LinkedIn. Ask them about their experiences and share your passion for data science. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you've tackled complex problems. We want to see your thought process, so practice explaining your work clearly!
✨Tip Number 3
Show off your curiosity! During interviews, ask insightful questions about the team’s current projects or challenges. This not only demonstrates your interest but also helps you understand how you can contribute to Compare the Market's mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team and making a difference in the world of financial decision-making.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! We love candidates who are eager to learn and explore new ideas. Share examples of how you've tackled complex problems or sought out new knowledge in your field.
Be Authentic:We want to see the real you! Don’t be afraid to show your personality in your application. Highlight your unique experiences and what drives you, as we value authenticity and want to know how you can contribute to our culture.
Tailor Your Skills:Make sure to align your skills with the job description. If you’ve got experience in Python, SQL, or machine learning, shout about it! Use specific examples to demonstrate how your background fits with what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Compare The Market Limited
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've applied machine learning or advanced analytics solutions, as this will show your practical experience and problem-solving abilities.
✨Understand the Business
Familiarise yourself with Compare the Market's mission and how data science plays a role in improving customer journeys. Think about how you can translate business challenges into data-driven solutions, and be prepared to share examples of how you've done this in the past.
✨Collaboration is Key
Since you'll be working cross-functionally, think about times when you've collaborated with engineers, analysts, or product managers. Be ready to discuss how you communicate insights clearly and how you ensure alignment with stakeholders on data science solutions.
✨Show Your Curiosity
Demonstrate your passion for learning and growth during the interview. Share experiences where you've embraced challenges or taken the initiative to coach others. This aligns perfectly with Compare the Market's culture of accountability and innovation.
