Data Scientist

Peterborough
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist- Consumer Behaviour

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 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

Programing 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 (url removed), 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 of 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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.