Senior Data Scientist

Senior Data Scientist

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and deploy advanced models to optimise insurance pricing and combat fraud.
  • Company: Join Policy Expert, a rapidly growing leader in the insurance industry.
  • Benefits: Enjoy a competitive salary, learning budget, hybrid work, and enhanced parental leave.
  • Why this job: Make a real impact in transforming the insurance sector with innovative data solutions.
  • Qualifications: Experience in statistical modelling, Python programming, and a passion for data-driven insights.
  • Other info: Be part of a diverse team committed to inclusivity and professional growth.

The predicted salary is between 48000 - 72000 £ per year.

Are you ready to transform the insurance industry? Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we’ve won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK’s No.1-rated home insurer by Review Centre since 2013.

This is an exciting time for us as we expand our Data Science capabilities to support our ambitious growth plans in insurance pricing, counter fraud, and underwriting. Retail pricing is at the heart of our business – finding the right premium to offer each customer, balancing competitiveness, fairness, and profitability. We’re investing heavily in data science and ML engineering to take our pricing models to the next level.

With a wealth of internal and external datasets and cutting-edge technologies, we have the opportunity to deliver innovative, market-leading pricing solutions that customers can trust.

What you’ll be doing:

  • Developing, testing, and deploying advanced statistical and machine learning models to optimise customer premiums and support our pricing, underwriting, and counter fraud strategy.
  • Collaborating closely with pricing, underwriting, and commercial teams, as well as ML Engineers, to ensure models are implemented effectively and deliver measurable value.
  • Building predictive and optimisation models to determine the best premium to offer across home, motor, and pet insurance products.
  • Designing and running pricing experiments (including A/B tests and market tests) to understand customer behaviour, retention, and conversion.
  • Developing real-time pricing and decisioning solutions that balance volume, profitability, and risk appetite.
  • Working within a cross-functional squad (pricing managers, underwriters, ML engineers, analysts) to deliver pricing improvements and business outcomes.
  • Influencing priorities using data-driven insights and quantifying the commercial impact of initiatives.
  • Monitoring model performance and ensuring regulatory and fairness considerations are built into our pricing solutions.
  • Being a champion of retail pricing science across the business, explaining the value of data-driven pricing strategies to non-technical stakeholders.

Who are you:

  • Experience developing and deploying statistical and machine learning models in the insurance retail pricing or counter fraud context.
  • Strong programming skills in Python, with a working knowledge of SQL, and experience analysing large, complex datasets.
  • Strong knowledge of statistical modelling and optimisation techniques relevant to pricing and customer behaviour.
  • A desire to interact with stakeholders (pricing, underwriting, product) and translate business needs into practical modelling solutions.
  • Ability to design, monitor, and interpret pricing tests and experiments.
  • Familiarity with software engineering best practices and writing efficient, production-ready code.
  • Experience working with Pricing, underwriting, or counter fraud within a UK general insurance market would be an advantage.
  • Experience with cloud-based ML platforms such as GCP Vertex AI is desirable.

This role will be based in our London office in a 50/50 Hybrid mode.

We match your pension contributions up to 7%. Learning budget of £1,000 a year + Study leave (with encouragement to use it). Enhanced maternity & paternity. Travel season ticket loan. Access to a wide selection of London O2 events and use of a Private Lounge.

What We Stand for and Next Steps:

We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment. At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support.

We aim to be in touch within 14 working days of receiving your application – you will be notified if your application is successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements.

Senior Data Scientist employer: Policy Expert

At Policy Expert, we pride ourselves on being a forward-thinking employer that champions innovation and collaboration. Our London office offers a vibrant work culture with a strong emphasis on employee growth, providing a generous learning budget and flexible hybrid working arrangements. Join us to be part of a dynamic team dedicated to transforming the insurance industry while enjoying competitive benefits and a commitment to inclusivity.
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Contact Detail:

Policy Expert Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at Policy Expert on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with statistical models and machine learning in detail. Show them you know your stuff!

✨Tip Number 3

Don’t just focus on your technical skills; be prepared to explain how your work impacts business outcomes. They want to see that you can translate data into actionable insights for pricing strategies.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Policy Expert.

We think you need these skills to ace Senior Data Scientist

Statistical Modelling
Machine Learning
Python Programming
SQL
Data Analysis
Predictive Modelling
Optimisation Techniques
A/B Testing
Stakeholder Engagement
Cloud-based ML Platforms
Software Engineering Best Practices
Cross-functional Collaboration
Insurance Pricing Knowledge
Model Performance Monitoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with statistical and machine learning models, especially in the insurance sector. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about transforming the insurance industry with us. Share specific examples of your past work that relate to pricing and customer behaviour.

Showcase Your Technical Skills: Don’t forget to mention your programming skills, especially in Python and SQL. If you’ve worked with cloud-based ML platforms like GCP Vertex AI, make sure to highlight that too. We love seeing those technical chops!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t hesitate – we can’t wait to hear from you!

How to prepare for a job interview at Policy Expert

✨Know Your Data Science Stuff

Make sure you brush up on your statistical and machine learning models, especially in the context of insurance pricing. Be ready to discuss specific projects you've worked on and how they relate to optimising customer premiums.

✨Understand the Business

Familiarise yourself with Policy Expert's approach to retail pricing and counter fraud. Knowing how your role as a Data Scientist fits into their broader strategy will help you articulate your value during the interview.

✨Prepare for Technical Questions

Expect questions that test your programming skills in Python and SQL. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis and model deployment.

✨Show Your Collaborative Side

Since you'll be working closely with cross-functional teams, be prepared to discuss how you've successfully collaborated with non-technical stakeholders in the past. Highlight your ability to translate complex data insights into actionable business strategies.

Senior Data Scientist
Policy Expert
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