Senior Risk Modelling Data Scientist in Bristol
Senior Risk Modelling Data Scientist

Senior Risk Modelling Data Scientist in Bristol

Bristol Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse large datasets and develop core risk models using data science techniques.
  • Company: Join Direct Line Group, a top inclusive employer focused on innovation and customer satisfaction.
  • Benefits: Enjoy competitive salary, generous holidays, and a range of lifestyle benefits.
  • Why this job: Make a real impact on pricing strategies while collaborating with talented teams.
  • Qualifications: Experience in data science, SQL, Python, and strong problem-solving skills required.
  • Other info: Flexible hybrid working model with excellent career growth opportunities.

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 Pricing Practitioners, Data Scientists 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 Data Scientist in our Motor Manufacturing Tribe. This role will sit in the Motor Risk Modelling Team and will work collaboratively with others across Motor Risk and Retail Pricing, as well as colleagues in Underwriting, Trading and Finance teams.

What you'll be doing:

We’ll utilise your skills where they are most needed whilst also giving you an opportunity to build and grow the breadth of your expertise. There will be scope to soak up new experiences and most importantly you’ll positively influence and shape what we do – making an impact on our customers' lives. In this role, you will play a crucial part in developing our underlying core risk models by utilising data science techniques to ensure our competitiveness and profitability in a challenging marketplace. You will collaborate with cross-functional teams to analyse data, assess risk, and support business decisions through quantitative insights. Your job responsibilities may include:

  • In depth analysis of large datasets utilising a combination of SQL, Python and Radar.
  • Sharing any insights from this analysis both within and outside of the team, including presenting to stakeholders from various business areas.
  • Interacting with our deployment team to support the release of pricing changes.
  • Mentoring and support to more junior colleagues.

You’ll report to a Band 5 Pricing Practitioner, and work alongside a team of experienced colleagues; between us we hold a breadth of experience across the industry, but we’re always open to new approaches. 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 experience in using data science techniques to analyse large datasets.
  • Excellent problem-solving skills, with an ability to consider multiple scenarios, understand the needs and anticipate outcomes for the customers.
  • Experience using SQL & Python.
  • Strong stakeholder management, communication and presentation skills, with an ability to explain findings to both a technical and non-technical audience.
  • General insurance pricing experience, preferably in personal lines and across a broad range of functions.
  • Familiarity with the WTW insurance software RADAR is desirable but not essential.
  • A numerate degree in Mathematics, Statistics or related subjects.

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.

Senior Risk Modelling Data Scientist in Bristol employer: Direct Line Group

At DLG, we pride ourselves on being an exceptional employer that values the growth and well-being of our employees. Our inclusive work culture fosters collaboration and innovation, allowing you to make a meaningful impact while enjoying a flexible hybrid working model. With competitive benefits such as a generous pension scheme, health insurance options, and a commitment to work-life balance, you'll find a supportive environment that encourages you to thrive both personally and professionally in our vibrant Motor Manufacturing Tribe.
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Contact Detail:

Direct Line Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Risk Modelling Data Scientist in Bristol

✨Tip Number 1

Network like a pro! Reach out to current employees at DLG on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for your application process. It’s all about making those connections!

✨Tip Number 2

Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects. We want to see your problem-solving skills in action, so think of examples that showcase your analytical prowess.

✨Tip Number 3

Practice your presentation skills! You’ll need to explain complex data insights to both technical and non-technical audiences. Grab a friend or family member and run through your findings – clarity is key!

✨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 our team at DLG.

We think you need these skills to ace Senior Risk Modelling Data Scientist in Bristol

Data Science Techniques
SQL
Python
Data Analysis
Problem-Solving Skills
Stakeholder Management
Communication Skills
Presentation Skills
General Insurance Pricing
Numerate Degree in Mathematics or Statistics
Collaboration
Mentoring
Familiarity with RADAR Software

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Risk Modelling Data Scientist role. Highlight your experience with SQL, Python, and any relevant data science techniques to show us you’re the right fit!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data science and how you can contribute to our Motor Risk Modelling Team. Share specific examples of past projects or insights that demonstrate your problem-solving skills.

Showcase Your Communication Skills: Since you'll be presenting findings to both technical and non-technical audiences, make sure to highlight your communication skills in your application. We want to see how you can explain complex concepts clearly and effectively!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at Direct Line Group

✨Know Your Data Science Stuff

Make sure you brush up on your data science techniques, especially SQL and Python. Be ready to discuss how you've used these tools in past projects, particularly in analysing large datasets. This will show that you can hit the ground running in the role.

✨Understand the Business Context

Familiarise yourself with the insurance industry, especially pricing and underwriting. Knowing how risk models impact business decisions will help you articulate your insights effectively during the interview. It’s all about showing you understand the bigger picture!

✨Prepare for Stakeholder Interaction

Since you'll be presenting findings to both technical and non-technical audiences, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated insights to stakeholders, as this will highlight your strong communication skills.

✨Show Your Collaborative Spirit

This role involves working with cross-functional teams, so be prepared to discuss your experience in collaboration. Share examples of how you've worked with others to achieve a common goal, and emphasise your willingness to mentor junior colleagues. Teamwork is key!

Senior Risk Modelling Data Scientist in Bristol
Direct Line Group
Location: Bristol
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  • Senior Risk Modelling Data Scientist in Bristol

    Bristol
    Full-Time
    36000 - 60000 £ / year (est.)
  • D

    Direct Line Group

    10000+
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