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- Tasks: Analyse and model insurance data using statistical and machine learning techniques.
- Company: Join DLG, a leading social network focused on customer-centric solutions.
- Benefits: Enjoy 50% off insurance, flexible work options, generous holidays, and employee discounts.
- Why this job: Make a real impact on customers' lives while growing your expertise in a supportive environment.
- Qualifications: 3+ years in data science or pricing, strong Python skills, and a creative mindset.
- Other info: DLG values diversity and offers an inclusive workplace for all.
The predicted salary is between 43200 - 72000 £ per year.
DLG is evolving. Across every facet of our business, our teams are embracing new opportunities and putting customers at the heart of everything they do. By joining them, you’ll have the opportunity to not just be recognised for your skills but encouraged to build upon them and empowered to do your absolute best.
Pricing and Underwriting is a complicated world, where historical data, geospatial information, and mathematical models meet talented analysts. Pricing our products is a fine line between balancing our business goals and customer needs. That’s why our Pricers and Underwriters are the best of the best. They reduce risk and predict future events ensuring our business can continue to grow whilst each and every one of our consumers gets the best price.
Join us as a Senior R&D Data Scientist in our Motor Retail Pricing team.
What you’ll be doing:
- In this role, you’ll use statistical and machine learning techniques to analyse and model insurance data.
- As part of setting retail prices, we need to create pricing models that accurately reflect risk and customer behaviours.
- Working closely with actuaries, underwriters, and data scientists, you’ll work on Research & Development projects to further develop the techniques and processes we use.
- You’ll seek out new opportunities to apply data science techniques to insurance and support those around you to grow and develop, sharing your expertise and best practice with the wider business.
- You’ll take charge early on, soak up new experiences and most importantly you’ll positively influence and shape what we do – making an impact on our customers' lives.
- We’ll utilise your skills where they are most needed whilst also giving you the opportunity to build and grow the breadth of your expertise.
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 2 days a week in the office.
What you’ll need:
- Previous data science / pricing experience within insurance (minimum 3+ years)
- Strong experience with statistical and machine learning techniques
- Experience with insurance pricing or actuarial modelling
- Python expertise (candidates with experience in other programming languages will also be considered)
- Experience with Domino (or other cloud platforms) is an advantage
- A curious, creative mind willing to try new ways of approaching modelling problems, while listening and responding positively to stakeholder feedback.
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:
- 50% off home, motor and pet insurance plus free travel insurance and Green Flag breakdown cover
- Additional optional Health and Dental insurance
- Up to 10% AIP Bonus
- EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way.
- Generous holidays
- 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 that 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 that 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.
R&D Senior Data Scientist employer: Direct Line Group
Contact Detail:
Direct Line Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R&D Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest statistical and machine learning techniques relevant to insurance pricing. Being able to discuss recent advancements or case studies during your interview can demonstrate your expertise and passion for the field.
✨Tip Number 2
Network with professionals in the insurance and data science sectors. Attend industry conferences or webinars, and connect with current employees at DLG on platforms like LinkedIn to gain insights into their work culture and expectations.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of examples where you've successfully applied data science techniques to real-world problems. Be ready to discuss how you approached these challenges and the impact of your solutions.
✨Tip Number 4
Understand the importance of collaboration in this role. Be prepared to talk about your experience working with cross-functional teams, especially with actuaries and underwriters, and how you’ve contributed to shared goals in previous projects.
We think you need these skills to ace R&D Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and insurance pricing. Emphasise your statistical and machine learning skills, as well as any specific projects that demonstrate your ability to model insurance data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience with Python and any cloud platforms like Domino. Show that you understand the importance of balancing business goals with customer needs.
Showcase Your Problem-Solving Skills: Provide examples in your application that illustrate your creative approach to modelling problems. Highlight instances where you've successfully responded to stakeholder feedback and adapted your methods accordingly.
Highlight Continuous Learning: Mention any ongoing education or professional development related to data science or insurance. This could include courses, certifications, or workshops that demonstrate your commitment to growing your expertise in the field.
How to prepare for a job interview at Direct Line Group
✨Showcase Your Technical Skills
As a Senior R&D Data Scientist, you'll need to demonstrate your expertise in statistical and machine learning techniques. Be prepared to discuss specific projects where you've applied these skills, particularly in insurance pricing or actuarial modelling.
✨Emphasise Collaboration
Highlight your experience working with actuaries, underwriters, and other data scientists. Discuss how you’ve collaborated on projects and how you can contribute to a team environment, as this role requires close cooperation with various stakeholders.
✨Demonstrate Curiosity and Creativity
The company values a curious and creative mindset. Prepare examples of how you've approached modelling problems in innovative ways and how you've responded to feedback from stakeholders to improve your work.
✨Understand the Business Context
Familiarise yourself with the complexities of pricing and underwriting in the insurance industry. Be ready to discuss how your data science skills can help balance business goals with customer needs, showcasing your understanding of the broader impact of your work.
