At a Glance
- Tasks: Develop and deploy machine learning models to optimise pricing strategies.
- Company: Join Direct Line Group, a leader in inclusive and innovative insurance solutions.
- Benefits: Enjoy flexible working, generous holidays, and a range of employee discounts.
- Why this job: Make a real impact on customer lives while growing your skills in a dynamic environment.
- Qualifications: Experience in Python and SQL, with a background in personal lines insurance preferred.
- Other info: Be part of a diverse team that values your unique contributions and supports your growth.
The predicted salary is between 36000 - 60000 £ 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.
What you’ll be doing:
- Reporting into the Pricing & Underwriting Modelling & Capability lead, key responsibilities will include:
- Support with development and deployment of machine learning models
- Understand existing model performance, via Actual vs Expected and model monitoring.
- Build on current model reporting methods
- Supporting on trading activity, including proposals, testing & PIRs
- Report on statistical trends in various datasets
- Interrogating of regular reporting & conduct processes to support Pricing outcomes
- Monitoring performance dashboards, identifying threats & opportunities
- Liaising with our Pricing Optimisation & Trading teams to deliver great customer and commercial outcomes
- Working closely with the pricing & underwriting team to deliver great pricing & underwriting outcomes.
- Adherence to relevant pricing controls.
- Dealing with pricing referrals as required.
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 50% of their time in the office.
What you’ll need:
- Experience working in Python required.
- Experience of pricing a personal lines insurance product, in either a risk or trading capacity.
- Good understanding of modelling processes and concepts, and ability to support on technical modelling builds.
- SQL skills required
- Ability to innovate & work in a fast-paced environment, working with a breadth of initiatives
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:
- 9% employer contributed pension
- 50% off home, motor and pet insurance plus 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.
Pricing Data Scientist in Leeds employer: Direct Line Group
Contact Detail:
Direct Line Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Scientist in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees at DLG on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Pricing Data Scientist role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've used these in past projects, especially in pricing or modelling contexts. Show us you can think critically about data and its implications!
✨Tip Number 3
Don’t just focus on technical skills; be prepared to talk about how you balance business goals with customer needs. DLG values candidates who can think holistically about pricing strategies, so come armed with examples of how you've done this before.
✨Tip Number 4
Finally, 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 our team at DLG. Let’s get you started on this exciting journey!
We think you need these skills to ace Pricing Data Scientist in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Pricing Data Scientist role. Highlight your experience with Python, SQL, and any relevant pricing or modelling work you've done. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing and underwriting, and how you can contribute to our team. Be genuine and let your personality come through – we love that!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Mention specific projects where you've used data to drive decisions or improve outcomes. We’re all about using data to make an impact, so show us what you’ve got!
Apply Through Our Website: We encourage you to apply through our website for the best experience. It’s super easy, and you’ll get all the info you need about the role and our company. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Direct Line Group
✨Know Your Data
Make sure you brush up on your understanding of historical data and geospatial information. Be prepared to discuss how these elements influence pricing strategies and how you can leverage them in your role as a Pricing Data Scientist.
✨Showcase Your Technical Skills
Since experience in Python and SQL is crucial, be ready to demonstrate your proficiency. You might be asked to solve a problem or explain a project where you used these skills, so have specific examples at the ready.
✨Understand the Business Goals
Familiarise yourself with how pricing impacts both customer satisfaction and business objectives. Be prepared to discuss how you would balance these aspects in your decision-making process during the interview.
✨Prepare for Scenario Questions
Expect questions that assess your ability to innovate in a fast-paced environment. Think about past experiences where you had to adapt quickly or come up with creative solutions, and be ready to share those stories.