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For Companies At a Glance
- Tasks: Analyze and model insurance data using statistical and machine learning techniques.
- Company: Direct Line Group is a customer-focused powerhouse in the insurance industry.
- Benefits: Enjoy flexible hybrid working, 50% off insurance, bonuses, and 25+ days of leave.
- Why this job: Make a real impact on customers' lives while growing your expertise in a supportive environment.
- Qualifications: Must have data science experience in insurance and strong skills in Python and statistical techniques.
- Other info: Diversity and inclusion are at our core; we celebrate unique perspectives.
The predicted salary is between 43200 - 72000 £ per year.
At Direct Line Group, insurance is just the start. Combining decades of industry experience with talented people in every field, we’re a customer-obsessed market powerhouse. And we all work together to be brilliant for customers, every single day.
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 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. Working closely with actuaries, underwriters, and data scientists to develop pricing models that accurately reflect risk and customer behaviours. Additionally, 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 practices with the wider business.
Working in an agile way means 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.
Due to the requirements for this role, previous experience within insurance/pricing is essential.
What you’ll need
- Previous data science / pricing experience within insurance
- Master’s/PhD/professional certificates or experience in a quantitative field
- 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
Ways of working
Our hybrid model way of working offers a ‘best of both worlds’ approach combining the best parts of home and office-working, offering flexibility for everyone. When you’ll be in the office depends on your role, but most colleagues are in 2 days a week, and we’ll consider the flexible working options that work best for you.
We wouldn’t be where we are today without our people and the wide variety of perspectives and life experiences they bring. That’s why we offer excellent benefits to suit your lifestyle and a flexible working model combining the best parts of home and office-working, varying with the nature of your role. Our core benefits include:
- 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% bonus
- EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax-efficient way
- 25 days annual leave, increasing each year up to a maximum of 28
- Buy as you earn share scheme
- Employee discounts and cashback
- Plus many more!
Difference makes us who we are. We believe everyone should feel comfortable to bring their whole selves to work – that’s why we champion diverse voices, build workplaces that work for people, and invest in the things that matter. From senior leadership to inclusivity networks, adaptive working to inclusion training, we’ve made it our mission to give you everything you need to be authentically you. Discover more at directlinegroupcareers.com
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Senior Data Scientist employer: Direct Line Insurance Group
Contact Detail:
Direct Line Insurance Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to highlight your previous experience in data science and pricing within the insurance sector during your conversations. This is crucial as they are looking for candidates with a strong background in these areas.
✨Tip Number 2
Familiarize yourself with the specific statistical and machine learning techniques that are commonly used in insurance pricing. Being able to discuss these methods confidently will set you apart from other candidates.
✨Tip Number 3
If you have experience with Python or other programming languages, be prepared to discuss specific projects where you've applied these skills. Real-world examples can demonstrate your expertise effectively.
✨Tip Number 4
Show your enthusiasm for working in an agile environment. Be ready to share how you've adapted to changes in past roles and how you can positively influence team dynamics and outcomes.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your previous data science and pricing experience within the insurance sector. Emphasize your expertise in statistical and machine learning techniques, as well as any relevant programming skills, particularly in Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can positively impact customer experiences in the insurance industry. Mention specific projects or achievements that demonstrate your ability to develop pricing models and work collaboratively with actuaries and underwriters.
Showcase Relevant Projects: If you have worked on projects related to insurance pricing or actuarial modeling, be sure to include them in your application. Describe the methodologies you used and the outcomes achieved, showcasing your problem-solving skills and analytical thinking.
Highlight Continuous Learning: Mention any professional certificates, workshops, or courses you have completed in quantitative fields or data science. This shows your commitment to staying updated with industry trends and your willingness to grow within the role.
How to prepare for a job interview at Direct Line Insurance Group
✨Showcase Your Data Science Expertise
Be prepared to discuss your previous experience in data science, particularly within the insurance sector. Highlight specific projects where you applied statistical and machine learning techniques to solve real-world problems.
✨Understand Pricing Models
Familiarize yourself with various pricing models used in insurance. Be ready to explain how you would approach developing a pricing model that balances business goals with customer needs.
✨Demonstrate Collaboration Skills
Since the role involves working closely with actuaries and underwriters, emphasize your ability to collaborate effectively. Share examples of how you've worked in cross-functional teams to achieve common goals.
✨Prepare for Technical Questions
Expect technical questions related to Python and other programming languages. Brush up on your coding skills and be ready to solve problems or analyze data during the interview to demonstrate your proficiency.
