Company:
BGLi (part of the Markerstudy Group) Job title:
Data Scientist 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
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BGLi (part of the Markerstudy Group) Job title:
Data Scientist 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
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