At a Glance
- Tasks: Lead data science projects and develop advanced telematics models for impactful insights.
- Company: Join Aviva, a forward-thinking company shaping the future of telematics.
- Benefits: Competitive salary, bonus opportunities, generous pension scheme, and 29 days holiday.
- Other info: Flexible locations with a supportive community and excellent career growth opportunities.
- Why this job: Make a real difference by turning complex data into powerful insights that improve customer outcomes.
- Qualifications: Experience in data science, strong skills in Python, R or SQL, and leadership abilities.
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: 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 Norwich employer: Aviva
Aviva is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Lead Data Scientist role. With a strong emphasis on employee growth, you will have the opportunity to mentor junior colleagues while working on cutting-edge telematics projects that directly impact customer outcomes. The flexible location options and generous benefits, including a competitive salary, bonus opportunities, and a robust pension scheme, make Aviva a rewarding place to advance your career in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Norwich
✨Tip Number 1
Network like a pro! Reach out to current employees at Aviva or in the data science field on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with telematics and showcase how you've turned complex data into actionable insights.
✨Tip Number 3
Show off your leadership skills! Think of examples where you've mentored others or led projects. We want to see how you inspire innovation and foster a collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the team at Aviva.
We think you need these skills to ace Lead Data Scientist in Norwich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with telematics and IoT datasets, and don’t forget to showcase your statistical modelling and machine learning skills. We want to see how you can turn complex data into simple insights!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background makes you a perfect fit. We love seeing enthusiasm for data science and innovation, so let your passion come through!
Showcase Your Projects:If you've led projects or mentored junior colleagues, make sure to mention these experiences. We’re looking for someone who can inspire others and drive innovation, so share examples of how you've done this in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us that you’re serious about joining our team at StudySmarter!
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 experience with statistical modelling and machine learning using Python, R, or SQL. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Show Off Your Leadership Skills
Since this role involves leading projects and mentoring junior colleagues, be prepared to share examples of how you've inspired innovation and fostered continuous learning in your past roles. Highlight any experiences where you’ve successfully guided a team or project.
✨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 them you can bridge the gap between data and decision-making.
✨Be Curious and Creative
Demonstrate your problem-solving skills by discussing how you've tackled challenges in previous roles. Share specific examples of data-driven solutions you've implemented and how they made a difference. Showing your curiosity and creativity will set you apart from other candidates!
