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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-obsessed powerhouse in the insurance industry.
- Benefits: Enjoy flexible hybrid working, 25 days leave, and great discounts on insurance.
- Why this job: Make a real impact on customers' lives while growing your expertise in a supportive environment.
- Qualifications: Must have previous data science/pricing experience in insurance and strong Python skills.
- Other info: Join a diverse team that values authenticity and offers excellent career development opportunities.
The predicted salary is between 43200 - 72000 £ per year.
P&U Job Description
About Us
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.
What we’ll give 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:
- 9% employer contributed pension
- 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!
Being Yourself
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
Together we’re one of a kind.
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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 Senior Data Scientist
✨Tip Number 1
Make sure to highlight your previous experience in data science and pricing within the insurance sector. This is crucial for standing out, as they specifically mention that this experience is essential for the role.
✨Tip Number 2
Familiarize yourself with statistical and machine learning techniques relevant to insurance pricing. Being able to discuss specific models or techniques you've used in past projects can demonstrate your expertise and fit for the team.
✨Tip Number 3
Showcase your programming skills, particularly in Python. If you have experience with other programming languages, be ready to explain how those skills can translate to the work you'll be doing at Direct Line Group.
✨Tip Number 4
Emphasize your ability to work in an agile environment and your willingness to collaborate with actuaries and underwriters. Highlighting your teamwork skills will help illustrate that you're a good cultural fit for their customer-obsessed approach.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the key responsibilities and required skills, especially focusing on statistical and machine learning techniques relevant to insurance pricing.
Highlight Relevant Experience: In your CV and cover letter, emphasize your previous experience in data science and pricing within the insurance sector. Provide specific examples of projects or models you have worked on that demonstrate your expertise.
Showcase Technical Skills: Clearly outline your proficiency in Python and any other programming languages you are familiar with. Mention any experience with cloud platforms like Domino, as this is considered an advantage for the role.
Tailor Your Application: Customize your application materials to reflect the values and culture of Direct Line Group. Highlight your ability to work collaboratively in an agile environment and your commitment to making a positive impact on customer experiences.
How to prepare for a job interview at Direct Line Group
✨Showcase Your Data Science Skills
Be prepared to discuss your experience with statistical and machine learning techniques. Highlight specific projects where you've successfully applied these skills, especially in the context of insurance or pricing.
✨Understand the Insurance Landscape
Familiarize yourself with the key concepts of insurance pricing and underwriting. Demonstrating knowledge of how data science can influence risk assessment and customer behavior will set you apart.
✨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 on the spot, as this role requires strong technical expertise.
✨Emphasize Collaboration and Growth
Since the role involves working closely with actuaries and underwriters, highlight your teamwork experiences. Discuss how you've supported colleagues in their development and shared best practices in previous roles.
