At a Glance
- Tasks: Analyse large datasets and develop data-driven solutions for pricing and underwriting.
- Company: Join DLG, a forward-thinking company prioritising customer-centric innovation.
- Benefits: Enjoy an annual bonus, flexible benefits, and employee discounts.
- Other info: Hybrid work model offering flexibility and a focus on work-life balance.
- Why this job: Make a real impact in data science while collaborating with experienced professionals.
- Qualifications: Experience with SQL and Python; strong analytical and communication skills.
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
- Familiarity with insurance or pricing concepts
- Exposure to tools such as WTW Radar
Benefits:
- Annual company bonus
- Discounts on insurance products
- Flexible benefits package, including optional health and dental insurance
- 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 employer: Direct-Line-Group-3
At DLG, we pride ourselves on being an excellent employer that values innovation and collaboration. Our hybrid work model promotes a healthy work-life balance, while our commitment to employee growth ensures you will have the opportunity to enhance your skills in a supportive environment. With a focus on inclusivity and a range of benefits designed to cater to your personal and professional needs, DLG is the ideal place for those looking to make a meaningful impact in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Motor Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current DLG employees on LinkedIn or at industry events. Ask them about their experiences and any tips they might have for landing a role like the Motor Data Scientist. Personal connections can make all the difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your experience with SQL, Python, and data analysis. When you get the chance to chat with hiring managers, share your insights and how you've tackled real-world problems using data.
✨Tip Number 3
Practice makes perfect! Brush up on your analytical and problem-solving skills by working on sample datasets or Kaggle competitions. This will not only boost your confidence but also give you concrete examples to discuss during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining DLG and being part of our exciting journey in data science.
We think you need these skills to ace Motor Data Scientist
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 analyse data and generate insights, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for the Motor Data Scientist role. Mention specific projects or experiences that relate to pricing and underwriting, as this will show us you understand what we're looking for.
Communicate Clearly:Since you'll be working with both technical and non-technical stakeholders, it's important to demonstrate your communication skills. Use clear language in your application to explain your past work and how it relates to the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team at DLG!
How to prepare for a job interview at Direct-Line-Group-3
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in analysing large datasets. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've had to present findings to different audiences, and be prepared to share those experiences during the interview.
✨Show Your Analytical Mindset
Prepare to discuss specific problems you've solved using data analysis. Think about the challenges you faced, the methods you used, and the insights you gained. This will demonstrate your strong analytical and problem-solving skills, which are crucial for the role.
✨Embrace Collaboration
DLG values teamwork, so be ready to talk about your experiences working in collaborative environments. Share examples of how you've contributed to team projects and how you handle feedback from colleagues. This will highlight your ability to work well within a team and contribute to shared outcomes.
