Junior Data Scientist (ID: QT4y2ncF)

We’re searching for a motivated Junior Data Scientist to join our growing Core Pricing team. This is an exciting opportunity to develop advanced predictive models using real-world data to inform smarter pricing and risk selection. You'll play a key role in shaping the future of data science.

What You’ll Do:

• Dive into large datasets (telematics, policy, and quote data) to identify key trends and opportunities.
• Build and validate statistical and machine learning models that directly impact pricing and risk assessments.
• Collaborate with Engineering, Actuarial, and Product teams to translate business needs into data-driven solutions.
• Communicate insights effectively through clear dashboards, visualisations, and storytelling.
• Contribute to best practices in coding, experimentation, and improving how we work as a team.

What You’ll Bring:

• Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Actuarial Science, or a related field.
• Experience: At least 1 year of experience as a Junior Data Scientist or Data Analyst.

Junior Data Scientist Technical Skill Requirements:

• Python: Strong proficiency in Python, with experience in training predictive models. Familiarity with libraries like pandas and scikit-learn.
• SQL: Proficient in SQL, especially with cloud data platforms like Snowflake.
• Statistical Methods: Solid understanding of GLMs and machine learning algorithms.
• Data Tools: Experience with cloud-based platforms (we use AWS) and visualisation tools (Looker, matplotlib, seaborn).
• Software Engineering: Knowledge of version control (e.g., Git) and software development practices in a data-driven environment.

Soft Skills:

• Strong curiosity and problem-solving mindset.
• Excellent communication skills with an ability to present complex insights clearly.

Nice to Have:

• Experience with CI/CD pipelines (we use Buildkite and ArgoCD).
• Exposure to insurance pricing tools like Akur8, Emblem, or similar.
• Familiarity with telematics or usage-based insurance data.
• Experience in time series analysis or graph technologies.

Why Us?

Joining us is a career-defining opportunity. Here, you’ll grow alongside a talented, diverse team committed to making a real difference. We’re proud of our culture, one that’s inclusive, supportive, and focused on helping everyone reach their full potential. There’s plenty of room to learn, grow, and steer your career in any direction you choose.

How We Work:

We believe in collaboration and flexibility. Our hybrid approach allows you to work from home most days while spending at least one day a week in our central London office. This gives you the perfect balance of face-to-face interaction and focused work time.

Our Approach to AI:

We’re passionate about AI and its potential to transform the way we work. We encourage our teams to be intentional about leveraging AI to drive real-world impact, and we give you the tools and support to do just that.

Benefits:

We offer a competitive salary, private medical insurance, company share options, generous vacation time, and wellness benefits. You’ll also receive a flexible hybrid working allowance, which you can use for commuting or personal development. And that’s just the beginning.

Join Us:

We are not just building a company; we're building a community. We’re an equal opportunity employer and celebrate diversity. We don’t discriminate based on race, religion, national origin, gender, sexual orientation, age, marital status, or disability.

If you’re ready to make a real impact and grow with us, we want to hear from you.

Apply today and join a company that's changing the future of insurance.

Position: Junior Data Scientist  -  Job Type: Full-Time  -  Salary: £45,000 to £55,000 per year  -  Location: London / Hybrid