Junior Data Scientist

Hastings Insurance Services Limited; Camden Town; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading digital insurer in the United Kingdom is seeking a candidate to assist in identifying and creating data assets and predictive models for pricing activities. Responsibilities include developing models to predict claims outcomes and collaborating with various teams. Ideal candidates will have experience with Python, machine learning libraries, and SQL. The role offers flexible working arrangements and a competitive bonus scheme.

Benefits

Flexible working

Competitive bonus scheme

Financial wellbeing benefits

Mental wellbeing programme

25 days of annual leave plus bank holidays

Qualifications

• Knowledge/experience using Python and machine learning libraries to build data science products in a commercial environment.
• Strong technical modelling skills and knowledge or experience using SQL.
• Demonstrates a keen interest in emerging machine learning techniques and their commercial value.

Responsibilities

• Creating and maintaining analytical tools to support the management of our risk portfolio.
• Develop best-in-class models to predict claims outcomes, fraud and other risk KPIs.
• Engineer powerful new rating factors to be deployed in our rating algorithms.
• Identify, analyse and monetise new data sources.
• Collaborate cross-functionally with teams such as Data Engineers, Actuaries and Pricing Analysts.
• Contribute to delivering high-quality data science products in a commercial environment.

Skills

Python

Machine learning libraries

SQL

Job description

Overview

The primary focus of the job is to assist in identifying and creating cutting-edge data assets and predictive models that feed into Hastings’ market-leading pricing activities. Hastings Direct is a digital insurer with a strong focus on technology, data and analytics capabilities, and a culture built around the 4Cs (colleagues, customers, company and community). We are committed to providing an inclusive environment and welcome reasonable adjustments during the recruitment process.

Responsibilities

• Creating and maintaining analytical tools to support the management of our risk portfolio.
• Develop best-in-class models to predict claims outcomes, fraud and other risk KPIs.
• Engineer powerful new rating factors to be deployed in our rating algorithms.
• Identify, analyse and monetise new data sources.
• Collaborate cross-functionally with teams such as Data Engineers, Actuaries and Pricing Analysts.
• Contribute to delivering high-quality data science products in a commercial environment.

Qualifications

• Knowledge/experience using Python and machine learning libraries to build data science products in a commercial environment.
• Strong technical modelling skills and knowledge or experience using SQL.
• Demonstrates a keen interest in emerging machine learning techniques and their commercial value.

Benefits

• Flexible working – we champion a flexible hybrid working approach; discuss details with your recruiter.
• Competitive bonus scheme – all colleagues are eligible for our annual 4Cs performance bonus.
• Financial wellbeing – life assurance cover, income protection, and matched pension contributions up to 10%; additional financial wellbeing benefits and discounts.
• Mental wellbeing programme – Thrive app, colleague assistance programme, in-house mental health support and resources.
• Additional benefits – 25 days of annual leave plus bank holidays, health care cash back plans, dental plans, cycle to work and tech schemes, and various staff perks.