At a Glance
- Tasks: Analyse large datasets and develop data-driven solutions for pricing and underwriting.
- Company: Join a leading insurance group committed to innovation and inclusivity.
- Benefits: Enjoy flexible working, generous holidays, and a range of employee discounts.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make a real impact in a dynamic environment while developing your data science skills.
- Qualifications: Experience with SQL and Python, strong analytical skills, and a numerate degree.
The predicted salary is between 40000 - 50000 £ per year.
DLG is evolving. Across every part of our business, teams are embracing new opportunities and putting customers at the heart of everything they do. Whether you're already part of DLG or thinking about joining us, you'll have the chance not only to be recognised for your skills, but also to build on them and be empowered to do your very best.
In this role, you’ll contribute to the development of data-driven solutions that enhance our pricing and underwriting capability. You’ll support the delivery of analytics from initial exploration through to implementation, working on a mix of well-defined problems and emerging opportunities. Working in an agile environment, you’ll build your experience across a range of analytical techniques, tools, and business contexts. You’ll collaborate with experienced colleagues, gaining exposure to the full lifecycle of data science solutions while developing your technical and commercial understanding.
What you'll be doing:
- Analysing large datasets using tools such as SQL, Python, and Radar to support pricing and underwriting decisions
- Supporting the development of data assets and models, contributing to improved risk assessment and pricing accuracy
- Producing clear insights and analysis, and communicating findings to both technical and non-technical stakeholders
- Collaborating with Retail Pricing and Platform teams to support the release of platform and pricing changes
- Contributing to experiments and analysis, helping to test ideas and quantify their potential impact (with guidance from more senior colleagues)
- Supporting the delivery of projects, working with more experienced team members to ensure high-quality and timely outcomes
Our hybrid model offers a ‘best of both worlds’ approach. When you’ll be in the office depends on your role and team, but colleagues spend at least 50% of their time in the office.
What you’ll need:
- Experience using SQL and Python for data analysis
- Previous experience, or a demonstrable interest, in applying data science techniques to large datasets
- Strong analytical and problem-solving skills, with the ability to interpret data and generate insights
- Good communication and stakeholder skills, with the ability to explain technical work clearly
- Ability to work collaboratively as part of a wider team and contribute to shared outcomes
- A numerate degree in Mathematics, Statistics, or a related subject
Desirable:
- Familiarity with insurance or pricing concepts
- Exposure to tools such as WTW Radar
Benefits
We recognise we wouldn't be where we are today without our colleagues; that's why we offer excellent benefits designed to suit your lifestyle:
- Employer-contributed pension
- Annual company bonus
- Discounts on insurance products
- Generous holiday allowance
- Flexible benefits package, including optional health and dental insurance
- Buy-as-you-earn share scheme
- Employee discounts and cashback
- Plus many more
We want everyone to get the most out of their time at DLG, which is why we've looked beyond the financial rewards and created an offer that takes your whole life into account. Supporting our people to work at their best – whatever that looks like — and offering real choice, flexibility, and a greater work-life balance means our people have time to focus on the things that matter most to them. Our benefits are about more than just the money you earn; they’re about recognising who you are and the life you live.
Direct Line Insurance Group is now owned by Aviva Plc. If you are successful in your application, you may initially receive a Direct Line offer and contract of employment; however, your employment will transfer to Aviva Employment Services Limited from 1 July 2026 under TUPE. From that date, some terms and conditions of employment will change, including bonus and pension arrangements.
Be yourself
Direct Line Group is an equal opportunity employer, and we think diversity of background and thinking is a big strength in our people. We're delighted to feature as one of the UK's Top 50 Inclusive Employers and are committed to making our business an inclusive place to work, where everyone can be themselves and succeed in their careers.
We know you're more than a CV, and the things that make you, you, are what bring potential to our business. We recognise and embrace people who work in different ways, so if you need any adjustments to our recruitment process, please speak to the recruitment team, who will be happy to support you.
Motor Data Scientist in London employer: Direct Line Insurance Group
At DLG, we pride ourselves on being an excellent employer, offering a dynamic work culture that prioritises employee growth and well-being. With a hybrid working model, generous benefits including an employer-contributed pension and annual bonuses, and a commitment to inclusivity, we empower our Motor Data Scientists to thrive in their roles while contributing to meaningful data-driven solutions. Join us in Norwich or London, where you'll collaborate with experienced colleagues and enjoy a supportive environment that values your unique contributions.
Contact Details:
Direct Line Insurance Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Motor Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at DLG on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in real-world scenarios, especially in data analysis and problem-solving.
✨Tip Number 3
Show off your communication skills! Practice explaining complex data concepts in simple terms. This will help you connect with both technical and non-technical folks during interviews.
✨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 the DLG team.
We think you need these skills to ace Motor Data Scientist in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these tools to tackle data analysis challenges, so don’t hold back on sharing specific examples!
Tailor Your Application:Take a moment to customise your application for the Motor Data Scientist role. Mention how your background aligns with our focus on pricing and underwriting, and how you can contribute to our data-driven solutions.
Communicate Clearly:We love clear communication! When writing your application, aim to explain your technical skills in a way that’s easy to understand. Remember, we’re looking for someone who can bridge the gap between technical and non-technical stakeholders.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at DLG.
How to prepare for a job interview at Direct Line Insurance Group
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are key tools for the role. Brush up on your skills by working on sample datasets or projects that showcase your ability to analyse data effectively.
✨Understand the Business Context
Familiarise yourself with insurance and pricing concepts. This will help you communicate your insights more effectively during the interview and demonstrate your understanding of how data science can impact business decisions.
✨Prepare for Technical Questions
Expect questions that test your analytical and problem-solving skills. Practice explaining your thought process clearly, as you'll need to convey complex ideas to both technical and non-technical stakeholders.
✨Showcase Collaboration Skills
Highlight any previous experiences where you've worked in a team setting. Be ready to discuss how you contributed to shared outcomes and how you can collaborate with colleagues to deliver high-quality results.