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 a competitive salary, generous holiday allowance, and flexible benefits.
- Other info: Embrace a hybrid work model and enjoy excellent career growth opportunities.
- Why this job: Make a real impact in data science while collaborating with experienced professionals.
- Qualifications: Experience with SQL and Python, plus strong analytical skills.
The predicted salary is between 45000 - 55000 £ 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
- 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.
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
At DLG, we pride ourselves on being an excellent employer, offering a dynamic work culture that prioritises employee growth and well-being. Our hybrid working model fosters flexibility, allowing you to balance your professional and personal life while collaborating with experienced colleagues in a supportive environment. With a range of benefits including a generous holiday allowance, annual bonuses, and a commitment to diversity and inclusion, DLG is dedicated to empowering you to thrive in your career as a Motor Data Scientist.
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 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
Show off your skills! Prepare a portfolio of projects that highlight your experience with SQL, Python, and data analysis. Bring this along to interviews to demonstrate your capabilities and spark discussions.
✨Tip Number 3
Practice your communication skills! Be ready to explain complex data concepts in simple terms. This will help you connect with both technical and non-technical stakeholders during interviews.
✨Tip Number 4
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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Motor Data Scientist role. Highlight your experience with SQL and Python, and don’t forget to mention any relevant projects or achievements that showcase your analytical prowess.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our team. Be specific about your interest in pricing and underwriting, and show us your personality!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you approach problems and the innovative solutions you've come up with, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Direct Line Group
✨Know Your Tools
Make sure you're comfortable with SQL and Python, as these are key for the Motor Data Scientist 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 that you understand how your work impacts the business.
✨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.
✨Show Your Collaborative Spirit
Highlight your experience working in teams and how you've contributed to shared outcomes. DLG values collaboration, so be ready to discuss examples of how you've worked with others to achieve goals.