At a Glance
- Tasks: Lead innovative Telematics algorithms to enhance customer pricing and risk management.
- Company: Join a digital insurance provider with ambitious growth plans and a collaborative culture.
- Benefits: Enjoy a competitive salary, flexible hybrid working, and extensive wellbeing support.
- Other info: Be part of a diverse team committed to inclusivity and continuous learning.
- Why this job: Make a real impact by leveraging data to create fair pricing for millions of customers.
- Qualifications: Strong analytical skills, coding experience in Python, and a curious mindset are essential.
The predicted salary is between 60000 - 75000 £ per year.
Location: Bexhill/Leicester/London – Hybrid
We’re a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We’ve invested heavily in pricing and data capabilities over the past few years and foster a culture of curiosity, collaboration, and constructive challenge. We provide insurance for over four million customers and are committed to fair pricing based on individual risk while delivering sustainable growth.
Responsibilities
- Lead the Telematics algorithm, unlocking its value for customers and the business by leveraging raw data to influence pricing.
- Hands‑on development supported by a small, highly creative team.
- Use Telematics data to manage risk spread and reduce prices for customers using driving data rather than traditional datasets.
- Collaborate with internal and external stakeholders to secure necessary data and shape its presentation to customers.
- Ground all data and pricing decisions in clear documented principles and manage processes that minimise errors, always keeping the customer in mind.
- Ensure customers receive prices that are fair, justifiable, and in line with governance and processes.
- Continuously learn new modelling techniques and identify new data sources to stay ahead of competitors.
- Manage and motivate a team of analysts to achieve the above outcomes.
Qualifications
- Strong analysis and coding experience; Python preferred but other languages acceptable.
- Comfortable working with and analysing numerical/statistical data.
- Thirst for change and an inquisitive, curious nature.
- Collaborates well with colleagues across teams.
- General insurance background or knowledge is preferable.
- Good written and verbal communication skills.
Interview Process
- Recruiter screening call
- 1st Round – Intro call with the hiring manager
- 2nd Round – Case study round
Benefits
- Competitive salary and £5k car allowance.
- Flexible hybrid working – discuss further with recruiter.
- Competitive annual bonus scheme tied to performance.
- Physical wellbeing – private medical insurance (PMI).
- Financial wellbeing – life assurance, income protection, matching pension contributions, and additional financial support.
- Mental wellbeing programme – mental health app, assistance programme, and support groups.
- 27 days annual leave + bank holidays, with options to buy or sell weeks, plus access to health‑care cash‑back plans, dental plans, cycle‑to‑work and tech schemes, and other perks.
Hastings Group is an equal opportunities employer and welcomes applications from all suitably skilled persons regardless of gender, age, race, disability, ethnic background, religion, sexual orientation, and other protected characteristics. We conduct thorough referencing, including credit and criminal record checks. We are committed to an inclusive environment where everyone can succeed. If you require reasonable adjustments during the recruitment process, please let us know so we can provide the necessary support.
Data Science Manager - Telematics employer: Dormont Manufacturing Co
Hastings Group is an exceptional employer, offering a dynamic work environment that champions curiosity and collaboration. With a strong focus on employee wellbeing, we provide competitive salaries, flexible hybrid working options, and a comprehensive benefits package that includes private medical insurance and generous annual leave. Our commitment to professional growth ensures that team members can continuously learn and thrive in their roles, making it a rewarding place to build a career in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager - Telematics
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Hastings Group. A friendly chat can open doors and give you insights that might just help you land that Data Science Manager role.
✨Tip Number 2
Prepare for your interviews by practising common case study questions. Since this role involves hands-on development and collaboration, think about how you can showcase your analytical skills and team spirit during the discussions.
✨Tip Number 3
Show off your coding chops! Brush up on Python and be ready to discuss your experience with numerical data analysis. The more confident you are in your technical skills, the better you'll impress the hiring manager.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our ambitious team at Hastings Group.
We think you need these skills to ace Data Science Manager - Telematics
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your experience with Python and data analysis, and show how your skills align with our mission to provide fair pricing based on individual risk.
Showcase Your Curiosity:We love a curious mind! In your application, share examples of how you've embraced change and learned new modelling techniques. This will demonstrate your thirst for knowledge and your fit within our culture of curiosity.
Communicate Clearly:Good written communication is key for this role. Ensure your application is clear and concise, showcasing your ability to present complex data in an understandable way. Remember, we want to see how you can communicate effectively with both technical and non-technical stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team at Hastings Group!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Data Inside Out
As a Data Science Manager in Telematics, you’ll need to demonstrate a solid understanding of data analysis and coding. Brush up on your Python skills and be ready to discuss how you've used data to influence pricing decisions in the past. Prepare examples that showcase your analytical prowess and how you’ve leveraged raw data to drive business outcomes.
✨Showcase Your Leadership Skills
You’ll be managing a team of analysts, so it’s crucial to highlight your leadership experience. Think about times when you motivated your team or led a project to success. Be prepared to discuss your approach to collaboration and how you foster a culture of curiosity and constructive challenge within your team.
✨Prepare for the Case Study Round
The second round involves a case study, so practice analysing data sets and presenting your findings clearly. Familiarise yourself with common telematics data scenarios and think about how you would apply your knowledge to solve real-world problems. This is your chance to shine, so make sure you can articulate your thought process and decision-making clearly.
✨Communicate Clearly and Confidently
Good communication skills are essential for this role, especially when collaborating with stakeholders. Practice explaining complex data concepts in simple terms. During the interview, ensure you listen actively and respond thoughtfully to questions. This will not only show your expertise but also your ability to engage with others effectively.
