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For Companies At a Glance
- Tasks: Join our pricing science team to innovate and enhance insurance pricing models.
- Company: BGLi, part of Markerstudy Group, is a leading UK insurance provider.
- Benefits: Enjoy hybrid working, 25 days leave, health cash plan, and discounts on shopping.
- Why this job: Be part of a collaborative culture that values innovation and teamwork in data science.
- Qualifications: Proficiency in Python or R, with a degree in a relevant field preferred.
- Other info: Opportunity to work on exciting projects with third-party partners.
The predicted salary is between 36000 - 60000 £ per year.
Company: BGLi (part of the Markerstudy Group)
Location: Peterborough (hybrid working)
Role Overview
The role of a data scientist in the pricing science team is a mixture of exploration and support. The Data scientists or Pricing Science are the chief avenue of new techniques, approaches, and ways of doing things into our price modelling process. They are also responsible for the maintenance of the tools that are used by the price modelling teams. As a wider level, the pricing science team are expected to contribute, along with other data scientists and engineers, to the development of our tech infrastructure. There will also be occasions where a data scientist collaborates with third party partners to develop new products outside of pricing such as risk or customer behaviour scores.
Key Accountabilities & Responsibilities
- Develop a strong understanding of how we price Motor and Home insurance products
- Develop an understanding of how and where we can improve current processes & practice
- Introduce and lead research and development projects to improve the performance and efficiency of the machine learning models
- Collaborate with Technical Pricing Team to identify business problems and recommend solutions
- Adapt working with our current tools and developments that are mainly based on R and Python
- Collaborate with our data scientists in the maintenance of the existing tools and platforms
- Work with other data scientists
Skills, Experience And Knowledge
- Programming skills in Python or R (or both) and their relevant data science and statistics libraries
- Knowledge on data manipulations, machine learning, advanced analytics, and statistical techniques
- Ability in communicating with the team members and written and verbal presentation skills
- Ability to engage in teamwork and to collaborate with the team to produce the best outputs
- Degree qualification in relevant discipline e.g., mathematics, computer science, computer engineering, statistics (advantageous)
- Experience in insurance or other financial services (advantageous)
Why us?
Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers’ advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused.com, Go Compare and Compare the Market, via our broker partners.
What we offer in return?
- A collaborative environment
- Hybrid/Flexible working model
- 25 days annual leave plus Bank Holidays and the ability to buy an additional three days holiday
- Health Cash Plan
- A benefit scheme that offers discounts and cashback on shopping, restaurants, travel and more
- Life Assurance 4x annual salary
Data Scientist employer: Markerstudy Group
Contact Detail:
Markerstudy Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, particularly R and Python. Brush up on your skills in data manipulation and machine learning techniques, as these will be crucial for the role.
✨Tip Number 2
Research BGLi and the Markerstudy Group to understand their approach to pricing and the insurance market. This knowledge will help you demonstrate your interest in the company and how you can contribute to their goals during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with collaborative projects, especially those involving data science. Highlight any instances where you've worked with cross-functional teams or contributed to improving processes, as this aligns with the role's responsibilities.
✨Tip Number 4
Network with current or former employees of BGLi or similar companies in the insurance sector. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and expectations of a Data Scientist at BGLi. Familiarise yourself with their pricing science team and how your skills can contribute to their goals.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, particularly with Python or R. Emphasise any previous work in insurance or financial services, as well as your ability to collaborate and communicate effectively.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the insurance industry. Mention specific projects or experiences that demonstrate your skills in machine learning and data manipulation.
Showcase Your Technical Skills: In your application, be sure to detail your programming skills and familiarity with data science libraries. Provide examples of how you've used these skills in past projects, especially in relation to improving processes or developing new products.
How to prepare for a job interview at Markerstudy Group
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python or R during the interview. Be prepared to discuss specific projects where you've used these languages, especially in relation to data manipulation and machine learning.
✨Understand the Insurance Industry
Familiarise yourself with how motor and home insurance products are priced. Demonstrating knowledge of the industry will show that you're not just a data scientist, but someone who understands the business context of your work.
✨Prepare for Collaboration Questions
Since the role involves working closely with other data scientists and teams, be ready to discuss your experience in teamwork. Share examples of how you've collaborated on projects and contributed to team success.
✨Research BGLi and Markerstudy Group
Before the interview, take some time to learn about BGLi and its parent company, Markerstudy Group. Understanding their market position and values will help you tailor your responses and show genuine interest in the company.
