At a Glance
- Tasks: Build advanced risk and market models to optimise insurance pricing strategies.
- Company: Join Zego, a pioneering tech company transforming motor insurance for good drivers.
- Benefits: Enjoy competitive salary, private medical insurance, share options, and generous holiday allowance.
- Other info: Collaborative culture with opportunities for growth and a flexible hybrid working model.
- Why this job: Make a real impact in the insurance industry while working with cutting-edge data science tools.
- Qualifications: Degree in Statistics or Data Science, plus experience in insurance pricing and strong Python skills.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 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.
- 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.
- 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.
- Experience in UK motor insurance.
- Hands‑on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling tools.
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 others 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.
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.
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.
BenefitsWe 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.
Senior Data Scientist (Retail and Market) employer: Zego
At Zego, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to reach their full potential. As a Senior Data Scientist in our London office, you'll enjoy a market-competitive salary, private medical insurance, and generous holiday allowances, all while collaborating with a talented team dedicated to making a meaningful impact in the insurance industry. With ample opportunities for professional growth and a flexible hybrid working model, Zego is the perfect place for those looking to thrive in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Retail and Market)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Zego. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you're ready to discuss your experience with Python, SQL, and data modelling tools. We want to see how you can bring your expertise to the team!
✨Tip Number 3
Show off your problem-solving skills! Be ready to tackle real-world scenarios during interviews. Think about how you would approach pricing models or data analysis challenges at Zego.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission at Zego.
We think you need these skills to ace Senior Data Scientist (Retail and Market)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in non-life insurance pricing and modelling, and don’t forget to showcase your Python and SQL skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming insurance and how your skills can contribute to our mission at Zego. Keep it engaging and relevant to the role – we love a good story!
Showcase Your Projects:If you’ve worked on any relevant projects, make sure to mention them! Whether it’s building models or using data visualisation tools, we want to see your hands-on experience. Include links to your GitHub or portfolio if you have one!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Zego
✨Know Your Numbers
As a Senior Data Scientist, you'll be expected to have a solid grasp of statistical techniques and actuarial methods. Brush up on your knowledge of risk, demand, and market models. Be ready to discuss specific examples from your past work where you successfully applied these concepts.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Prepare to discuss any analytics packages or tools you've developed, and be ready to demonstrate your familiarity with data science libraries like pandas and scikit-learn. Practical examples will make your skills stand out!
✨Communicate Clearly
Zego values clear communication, especially when it comes to complex data concepts. Practice explaining your previous projects and findings in a way that’s accessible to non-technical stakeholders. This will show that you can bridge the gap between data and decision-making.
✨Embrace Collaboration
Since the role involves working closely with various teams, be prepared to discuss how you've collaborated in the past. Share examples of how you’ve worked with technical and pricing teams to implement changes effectively. Highlighting your teamwork skills will resonate well with Zego's culture.