Data Scientist in Peterborough

Data Scientist in Peterborough

Peterborough Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Compare the Market

At a Glance

  • Tasks: Develop AI and machine learning solutions to enhance customer experiences and pricing intelligence.
  • Company: Join Compare the Market, a fast-paced and innovative financial decision-making platform.
  • Benefits: Hybrid work model, inclusive culture, and opportunities for personal and professional growth.
  • Other info: Be part of a diverse team that values innovation and performance.
  • Why this job: Make a real impact on millions while working with cutting-edge technology in a collaborative environment.
  • Qualifications: Experience in machine learning, proficient in Python and SQL, and strong problem-solving skills.

The predicted salary is between 63000 - 77000 £ 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. 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 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
    • Interest in generative AI or large language models (e.g. OpenAI, Vertex AI)
    • Aware 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 in Peterborough employer: Compare the Market

Compare the Market is an exceptional employer that fosters a culture of innovation and performance, making it an ideal place for a Senior Product Analytics Lead to thrive. Located in the UK, the company values diversity and inclusion, offering employees ample opportunities for growth and development while working collaboratively in dynamic teams. With a focus on data-driven decision-making, you will be empowered to make a meaningful impact on product strategy and customer experience.

Compare the Market

Contact Details:

Compare the Market Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Peterborough

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Compare the Market!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Compare the Market.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Compare the Market.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Compare the Market, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in Peterborough

Machine Learning
Python
SQL
Statistical Analysis
Feature Engineering
A/B Testing
Data-Driven Problem Solving

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Compare the Market, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Compare the Market. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Compare the Market

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Compare the Market!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.