Data Scientist

Vermelo RPO; Peterborough; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a mid-senior Data Scientist to join their innovative pricing science team. This role involves exploring new techniques and methods to enhance pricing models while collaborating with other data scientists and engineers. You will engage in research and development projects, utilizing R and Python to improve processes and efficiency. The company offers a collaborative environment with a hybrid working model, competitive annual leave, and a health cash plan, making it an exciting opportunity for those looking to make a significant impact in the insurance sector.

Benefits

25 days annual leave

Health Cash Plan

Discounts and cashback on shopping

Life Assurance at 4x annual salary

Qualifications

• Proficiency in Python or R with relevant libraries.
• Experience in data manipulation and machine learning.

Responsibilities

• Develop understanding of pricing for Motor and Home insurance.
• Lead R&D projects to enhance machine learning models' performance.

Skills

Python

R

Data Manipulation

Machine Learning

Advanced Analytics

Statistical Techniques

Communication Skills

Teamwork

Education

Degree in Mathematics

Degree in Computer Science

Degree in Statistics

Tools

Data Science Libraries

Statistical Libraries

Job description

Company: BGLi (part of the Markerstudy Group)

Job title: Data Scientist (mid-senior)

Location: Peterborough (hybrid working)

Role overview

The role of a data scientist in the pricing science team involves exploration and support. Data scientists or Pricing Science are key to introducing new techniques, approaches, and methods into our price modelling process. They are responsible for maintaining the tools used by the price modelling teams. Additionally, the pricing science team contributes, alongside other data scientists and engineers, to developing our tech infrastructure. Occasionally, data scientists collaborate with third-party partners to develop new products outside of pricing, such as risk or customer behaviour scores.

Key Accountabilities & Responsibilities

1. Develop a strong understanding of how we price Motor and Home insurance products.
2. Identify opportunities to improve current processes and practices.
3. Lead research and development projects to enhance the performance and efficiency of machine learning models.
4. Collaborate with the Technical Pricing Team to identify business problems and recommend solutions.
5. Utilise and adapt current tools and developments primarily based on R and Python.
6. Work with other data scientists to maintain existing tools and platforms.
7. Collaborate with team members to produce optimal outputs.

Skills, Experience and Knowledge

• Proficiency in Python or R, including relevant data science and statistics libraries.
• Knowledge of data manipulation, machine learning, advanced analytics, and statistical techniques.
• Strong communication skills, both written and verbal.
• Ability to work effectively in a team environment.
• Degree in a relevant discipline such as mathematics, computer science, computer engineering, or statistics (advantageous).
• Experience in insurance or financial services (advantageous).

Why us?

Markerstudy Insurance Services Limited (MISL) is one of the UK's largest Managing General Agents, specializing in niche motor cover with a strong market presence. Our strategy focuses on identifying and applying unique risk factors to benefit our customers, supported by skilled underwriting technicians who are accessible and empowered to make decisions. We transact through professional UK insurance intermediaries, with our products available on major aggregators like 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, with options to buy additional days
• Health Cash Plan
• Discounts and cashback on shopping, dining, travel, and more
• Life Assurance at 4x annual salary