Data Scientist

Markerstudy Group; Salford; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Markerstudy Group in the UK is seeking a Data Scientist to join a growing team, developing ambitious solutions across insurance lines by leveraging vast data assets and modern processing capabilities. Location options include Manchester or Haywards Heath with hybrid working.

You will lead development of predictive models for pricing and risk, collaborate with pricing and ML teams, and drive data solutions that improve products, prices and underwriting performance across the group.

Qualifications

• PhD or Masters in statistics, data science or equivalent, or a degree with relevant experience.
• Experience in data science and insurance pricing/modelling.
• Proficiency with GLMs/Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks, and clustering.
• Programming in Python, PySpark, R, SAS, SQL.
• Strong communication of results to stakeholders.

Responsibilities

• Develop and test modelling improvements for pricing models, particularly in motor.
• Be the technical lead in development of predictive models solving business challenges.
• Prototype ML solutions before handing to the ML team for implementation.
• Conduct advanced R&D to solve business challenges.
• Collaborate with other teams to analyse and identify improvements to risk modelling and wider business challenges.
• Use a wide range of data science and statistical techniques.
• Research and leverage new and existing data sources.
• Communicate results to key decision makers across the business.
• Assist in deployment and monitoring to ensure efficient implementation of solutions.

Skills

Statistical modelling

Machine learning

Data analysis

Python

SQL

PySpark

R

SAS

Communication

Education

PhD/Masters in Statistics/Data Science

Degree with relevant experience

Tools

SAS

SQL

PySpark

Job description

Job title: Data Scientist

Locations: Manchester or Haywards Heath (hybrid working)

Markerstudy Group are looking for a Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.

Role Overview

As a Data Scientist, you will use your advanced analytical skills to:

• Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models
• Identify and create data solutions that create value
• Work collaboratively with the pricing and machine learning teams to provide insight across the business
• Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market
• Identify and create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group.

Key Responsibilities

• Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability
• Be the technical lead in the development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation
• Prototype ML solutions before handing to the ML team for implementation
• Conduct more advanced yet focused research and development to solve business challenges
• Work collaboratively with other teams to analyse and identify improvements to risk modelling and wider business challenges
• Use a wide range of data science and statistical techniques
• Research and leverage new and existing internal and/or external data sources
• Communicate results to key decision makers across the business
• Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created

Key Skills and Experience

• PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience
• Previous experience within data science
• Experience in insurance pricing and modelling
• Experience and detailed technical knowledge of GLMs /Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques
• Knowledge of statistics and distributions commonly used in insurance
• Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL)
• Proficient at communicating results in a concise manner both verbally and written

Behaviours

• Motivated by technical excellence
• Driven to deliver iterative improvements in a timely fashion
• Team player
• Self-motivated with a drive to learn and develop
• Logical thinker with a professional and positive attitude