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- Tasks: Lead data science projects and develop advanced telematics models for impactful insights.
- Company: Aviva, a forward-thinking company shaping the future of telematics.
- Benefits: Competitive salary, bonus opportunities, generous pension scheme, and 29 days holiday.
- Why this job: Make a real difference in telematics while mentoring junior data scientists.
- Qualifications: Experience in data science, strong skills in Python, R or SQL, and leadership abilities.
- Other info: Flexible locations and a supportive community focused on innovation.
The predicted salary is between 45000 - 65000 £ per year.
This is a great job for someone who loves turning complex data into simple, powerful insights that make a real difference. Someone who thrives in a fast‑moving environment, enjoys exploring new techniques, and is excited to shape the future of telematics at Aviva.
If you’re ready for a step up or already leading in the data science space, this role gives you the platform to make your impact felt.
A bit about the job: We’re investing in telematics to accelerate the growth of our QMH Connect proposition — and this role sits right at the heart of it. As our Lead Data Scientist, you’ll develop, test and embed advanced telematics models that help us price smarter, understand driver behaviour, and reduce risk. You’ll collaborate closely with pricing, underwriting and product teams, and you’ll guide more junior data scientists as part of a supportive, forward‑looking community. Your work will help shape decisions across Personal Lines and directly influence how we improve outcomes for our customers.
Skills and experience we’re looking for:
- Proven experience applying data science techniques to telematics or IoT datasets.
- Strong statistical modelling and machine learning skills, with hands‑on experience using Python, R or SQL.
- Ability to lead projects and mentor junior colleagues, inspiring innovation and continuous learning.
- Confident communicator who can translate complex analysis into clear, actionable insights for technical and non‑technical stakeholders.
- Curious, creative problem‑solver with a track record of delivering impactful data‑driven solutions.
What you’ll get for this role: Our purpose – with you today, for a better tomorrow – guides how we support our colleagues too. Here’s a snapshot of what we offer:
- Starting salary between National: £45,000 - £65,000, London: £55,000-£75,000 (depending on location, skills, experience and qualifications).
- Bonus opportunity – 10% of annual salary. Actual amount depends on your performance and Aviva’s.
- Generous pension scheme – Aviva will contribute up to 14%, depending on what you put in.
- 29 days holiday plus.
Lead Data Scientist in London employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements. Use platforms like GitHub to share your code and analyses. This way, when you land that interview, you can demonstrate your expertise in Python, R, or SQL with real examples.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to explain your thought process and how you approach problem-solving. Remember, it’s not just about the right answer but how you communicate your insights!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data science techniques, especially those related to telematics or IoT datasets, to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this role. Share specific examples of how you've turned complex data into actionable insights and how you’ve led projects or mentored others in the past.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Python, R, or SQL. We want to see how you’ve applied statistical modelling and machine learning in real-world scenarios, so be specific!
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 don’t miss out on any important updates from us during the process.
How to prepare for a job interview at Aviva
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially those related to telematics and IoT datasets. Be ready to discuss your hands-on experience with Python, R, or SQL, and have examples of how you've applied statistical modelling and machine learning in real-world scenarios.
✨Show Off Your Leadership Skills
Since this role involves mentoring junior colleagues, be prepared to talk about your leadership style. Share specific instances where you've guided a team or inspired innovation. Highlight how you foster a supportive environment for continuous learning.
✨Communicate Clearly
You’ll need to translate complex analyses into actionable insights for both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will show that you can bridge the gap between data and decision-making.
✨Be Curious and Creative
Demonstrate your problem-solving skills by discussing challenges you've faced in previous roles and how you overcame them. Show your enthusiasm for exploring new techniques and how you stay updated with industry trends. This will highlight your passion for data science and innovation.
