At a Glance
- Tasks: Build and enhance pricing data assets, develop a Python rating engine, and create pricing models.
- Company: Dynamic InsurTech company focused on innovative pricing solutions.
- Benefits: Salary up to £60,000, private medical insurance, pension, and dedicated training.
- Other info: Remote work with occasional London office visits; travel costs fully reimbursed.
- Why this job: Make a real impact by shaping pricing capabilities in a tech-driven environment.
- Qualifications: Strong Python skills and experience in pricing analysis within insurance.
The predicted salary is between 54000 - 66000 £ per year.
Are you excited by the opportunity to build something from the ground up?
We're looking for a
Pricing Data Scientist to help establish and shape pricing capability within a technology-led insurance business operating in a highly data-driven sector.
This is a rare opportunity to have a significant impact, designing core pricing infrastructure and influencing analytical strategy from an early stage.
They are an established insurer with ambitious plans to re-establish itself as the number one provider within its specialist markets.
Significant investment in pricing, data science, and technology is creating an exciting environment for individuals who want to make a visible commercial impact.
You'll play a key role in building foundational pricing capability, combining data science, pricing analytics, and software engineering skills to create scalable solutions that directly influence commercial outcomes.
A major focus of the role will be designing and developing a new in-house Python rating engine
, alongside creating the data and modelling foundations required for long-term pricing sophistication.
This position offers the chance to work across the full pricing lifecycle, from data preparation and model development through to optimisation and deployment
Key Responsibilities
- Build and enhance pricing data assets and analytical foundations.
- Design, develop, and maintain an in-house Python-based rating engine.
- Develop pricing models and analytical frameworks.
- Create new rating factors and conduct research and experimentation.
- Collaborate with technology, data, and business stakeholders.
- Help establish best practices for pricing analytics and model deployment
About You
We're interested in candidates who combine strong technical capability with commercial thinking.
- Proven experience delivering pricing analyses and modelling within a personal lines insurance business (motor, home, pet, travel, or similar).
- Strong Python development skills, with experience taking analytical solutions beyond notebooks into production environments.
- Solid understanding of statistical modelling and data science principles, with the ability to explain technical concepts to non-technical stakeholders
- Knowledge of model deployment, MLOps, or production analytics.
- Familiarity with rating engines or pricing systems.
They welcome candidates from a variety of backgrounds and career paths.
Individuals with fewer years of pricing experience will still be considered where they can demonstrate strong technical capability, particularly in Python development and the application of data science within a commercial environment.
Please note that studying towards actuarial qualifications is not a requirement for this role.
They are equally interested in candidates from actuarial, data science, analytics, and other quantitative backgrounds who can bring the right blend of technical expertise, commercial awareness, and problem-solving ability, as they long as they can demonstrate the right level of expertise in both pricing and python.
- What's on Offer
- Private medical insurance and pension.
- Dedicated training and development; support towards qualifying as an actuary is available, if desired.
- Opportunity to influence the direction of a growing pricing function, as well as having exposure to senior stakeholders across the business.
The role is predominantly remote, with occasional travel to the London office as required. Any associated travel and accommodation costs will be fully reimbursed.
This is an opportunity to move beyond maintaining existing models and instead build the foundations of a modern pricing capability.
You'll have the autonomy to influence technology choices, shape analytical approaches, and see your work directly impact business performance.
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Pricing Data Scientist, InsurTech in London employer: Gravitas Recruitment Group (Global) Ltd
As a leading institution in Higher Education, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a focus on professional development and growth opportunities, our team members are supported in their career journeys while contributing to meaningful projects that impact students' lives. Located in a dynamic environment, this role offers the unique advantage of predominantly remote work, allowing for flexibility and work-life balance during a pivotal time of change.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Scientist, InsurTech in London
✨Dive Into Industry Networking Events
Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.
✨Use LinkedIn to Your Advantage
Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Gravitas Recruitment Group (Global) Ltd). A thoughtful message explaining your interest can really make a difference!
✨Look Out for Graduate Schemes
Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.
✨Leverage Your Current Connections
Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Gravitas Recruitment Group (Global) Ltd. Don’t shy away from asking for a coffee chat; you never know what doors it might open!
We think you need these skills to ace Pricing Data Scientist, InsurTech in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.
Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Gravitas Recruitment Group (Global) Ltd.
Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Gravitas Recruitment Group (Global) Ltd. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Numbers: Insurance Fundamentals
Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Gravitas Recruitment Group (Global) Ltd to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.
✨Showcase Your Analytical Side
In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!
✨Prepare for Behavioural Questions
As a full-timer at Gravitas Recruitment Group (Global) Ltd, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.
✨Know the Company Culture Inside Out
Understanding Gravitas Recruitment Group (Global) Ltd's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.
