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Data Scientist

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Peterborough

Hybrid

GBP 40,000 - 80,000

Full time

2 days ago
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Job summary

An innovative firm is seeking a mid-senior Data Scientist to join their pricing science team. This role involves exploring new methods in price modeling, maintaining essential tools, and collaborating with partners to develop products beyond pricing. You will lead research projects to enhance machine learning models while working in a hybrid environment. The company values collaboration and offers a flexible working model, generous annual leave, and a health cash plan. If you are passionate about data science and want to make a significant impact, this opportunity is perfect for you.

Benefits

Collaborative Environment
Flexible Working Model
25 Days Annual Leave
Health Cash Plan
Discounts on Shopping
Life Assurance of 4x Annual Salary

Qualifications

  • Strong programming skills in Python or R, focusing on data science libraries.
  • Experience in machine learning and statistical techniques is essential.

Responsibilities

  • Develop understanding of pricing for Motor and Home insurance products.
  • Lead projects to enhance machine learning model performance.

Skills

Python
R
Data Manipulation
Machine Learning
Advanced Analytics
Statistical Techniques
Communication Skills

Education

Degree in Mathematics
Degree in Computer Science
Degree in Statistics

Tools

Data Science Libraries

Job description

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 in introducing new techniques, approaches, and methods into our price modelling process. They are also responsible for maintaining the tools used by the price modelling teams. Additionally, the team contributes to the development of our tech infrastructure and collaborates 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 areas for process and practice improvements.
  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. Work with current tools and developments primarily based on R and Python.
  6. Maintain existing tools and platforms in collaboration with other data scientists.
  7. Work effectively with other data scientists to achieve team goals.

Skills, Experience and Knowledge

  1. Programming skills in Python or R, including relevant data science and statistics libraries.
  2. Knowledge of data manipulation, machine learning, advanced analytics, and statistical techniques.
  3. Strong communication skills, both written and verbal, and the ability to present findings clearly.
  4. Ability to work effectively within a team and collaborate to produce optimal results.
  5. Degree in a relevant discipline such as mathematics, computer science, computer engineering, or statistics (advantageous).
  6. Experience in insurance or financial services (advantageous).

Why us?

Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK, specializing in niche motor cover. Our market knowledge and experience allow us to create highly targeted products. Our success is driven by our underwriting strategy and skilled technicians who are accessible and empowered to make decisions. We transact through professional UK insurance intermediaries, and our products are featured on major aggregator sites via our broker partners.

What we offer in return?

  • A collaborative environment
  • Hybrid/Flexible working model
  • 25 days annual leave plus Bank Holidays and options to purchase additional days
  • Health Cash Plan
  • Discounts and cashback benefits on shopping, dining, travel, and more
  • Life Assurance of 4x annual salary
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