Job Detail

Senior Data Scientist (Retail and Market)

Data Science and AI Remote Full–time
ID: #10124
Posted: 2026-03-07
Salary

Description

At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive. That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do. We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started. Who we're looking for We are looking for a Senior Data Scientist (Pricing) to be a pivotal contributor to our Pricing, Tooling, and Modelling team. This role involves building sophisticated risk and market models, conducting rigorous analyses, and providing actionable insights to optimise our insurance pricing strategies. As well as building these models, you will play an active role in improving and extending our analytics tooling. Key Responsibilities • Develop and refine risk, demand, and market models using statistical techniques, advanced machine learning, and actuarial methods. • Analyse insurance data to identify trends, anomalies, and opportunities for improvements • Collaborate with the technical and street pricing teams to implement pricing changes effectively ensuring retail and market models are commercially accepted and consumed well across the business. • Lead complex projects from end to end, taking ownership of deliverables and mentoring junior team members to foster technical growth. • Communicate complex data concepts and model outcomes to a diverse set of stakeholders • Support continuous improvements by integrating new tools and technologies into the pricing process Required Skills • Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field • Experience: Proven experience in non-life insurance pricing and modelling and advanced data science, with a strong focus on model development, deployment, and tooling • Technical Skills: • Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn • SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake • Data Tools: Familiarity with cloud-based data platforms (we’re on AWS) and data visualisation tools (Looker, matplotlib, seaborn) • Software Engineering: Experience with version control systems (e.g., Git), CI/CD pipelines, and software development best practices in a data-intensive environment • Soft Skills: Excellent communication and project management skills, with a proven ability to work collaboratively across teams and present complex information in a clear, accessible way Nice To Have • Experience in UK motor insurance • Experience in developing, deploying, and monitoring retail and market models. • Knowledge of MLOps principles, frameworks, and best practices for scaling models in production. What’s it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day. Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want. You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter. How we work We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life. Our approach to AI We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well. Benefits We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters. There’s more to Zego than just a job - Check out our blog for insights, stories, and more. We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. #LI-IL1 #LI-Hybrid

Hard Skills 14
Skill Source Confidence
Predictive Modeling llm_hard
100%
Python llm_hard
100%
SQL llm_hard
100%
Pandas llm_hard
100%
Supervised Learning llm_hard
100%
Unsupervised Learning llm_hard
100%
Scikit-learn llm_hard
100%
Git llm_hard
100%
AWS (SageMaker, EC2, S3) llm_hard
80%
NLP llm_hard
80%
Matplotlib llm_hard
80%
Seaborn llm_hard
80%
Model Deployment llm_hard
80%
MLOps llm_hard
80%
Soft Skills 18
Skill Source Confidence
Collaboration llm_soft
100%
Problem-Solving llm_soft
100%
Analytical Thinking llm_soft
100%
Cross-Functional Communication llm_soft
100%
Explaining Complex Ideas Clearly llm_soft
100%
Project Management llm_soft
100%
Team Leadership llm_soft
100%
Mentoring llm_soft
100%
Stakeholder Communication llm_soft
100%
Teamwork llm_soft
100%
Curiosity llm_soft
80%
Technical Writing llm_soft
80%
Documentation llm_soft
80%
Decision-Making llm_soft
80%
Adaptability llm_soft
80%
Learning Agility llm_soft
80%
Initiative llm_soft
80%
Open-Mindedness llm_soft
80%
Apply Options
Publisher Direct Link
Workable Jobs Yes Apply
Talents By StudySmarter No Apply
Workable Jobs No Apply
API Logs for this Job
Query Country Status Response ms Created
Senior Data Scientist (Retail and Market) extracted 10039 2026-03-22 02:14
Senior Data Scientist (Retail and Market) classified 413 2026-03-21 20:56
junior data scientist in London gb processed 15834 2026-03-21 16:54
Raw JSON
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As well as building these models, you will play an active role in improving and extending our analytics tooling.\n\nKey Responsibilities\n• Develop and refine risk, demand, and market models using statistical techniques, advanced machine learning, and actuarial methods.\n• Analyse insurance data to identify trends, anomalies, and opportunities for improvements\n• Collaborate with the technical and street pricing teams to implement pricing changes effectively ensuring retail and market models are commercially accepted and consumed well across the business.\n• Lead complex projects from end to end, taking ownership of deliverables and mentoring junior team members to foster technical growth.\n• Communicate complex data concepts and model outcomes to a diverse set of stakeholders\n• Support continuous improvements by integrating new tools and technologies into the pricing process\n\nRequired Skills\n• Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field\n• Experience: Proven experience in non-life insurance pricing and modelling and advanced data science, with a strong focus on model development, deployment, and tooling\n• Technical Skills:\n• Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. 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