Job Title: Graduate Data Scientist

Location: Manchester (hybrid working)

Role Overview

Markerstudy Group are looking for a Graduate 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.

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

Identify and create cutting-edge data solutions that create value

Build and help maintain sophisticated models

Work collaboratively with other areas to increase overall company performance

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 state-of-the-art processing capabilities to improve company performance and our customer-centric offerings. This will be across Motor, Home and Commercial Lines businesses.

Key Responsibilities:

Work collaborative with various departments to identify opportunities to create value, by optimising current processes or creating new solutions

Create ambitious future-looking solutions/models that are state-of-the-art and go beyond business requirements

Research and leverage new and existing internal and/or external data sources

Use a wide range of data science and statistical techniques, including Machine Learning

Communicate results to key decision makers across the business

Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created

Create solutions across a range of markets, including; Private Motor, Commercial Vehicle, Bike, Taxi, and Home

Key Skills and Experience:

Experience within data science

Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering

Experience in programming languages (e.g. Python, PySpark, SAS, SQL)

A good quantitative degree in, but not limited to: Mathematics, Statistics, Engineering, Physics, Computer Science

Proficient at communicating results in a concise manner both verbally and written

Behaviours:

Team player

Self-motivated with a drive to learn and develop

Logical thinker with a professional and positive attitude

Passion to innovate and improve processes

Personality and a sense of humour