Data Scientist

i3; City Of London; On-site; GBP 75,000; Full time

Job summary

A leading company in the London Insurance Market is seeking a Data Scientist to enhance their Digital Trading Division. This role involves defining strategic data requirements, delivering analytics solutions, and collaborating with various teams to optimize data usage and profitability. Ideal candidates will possess expertise in data science techniques and programming, with experience in the insurance sector preferred.

Qualifications

• Expert in data science techniques required.
• Advanced programming skills, preferably in Python.
• Experience in actuarial/data role, ideally in a Lloyd's environment.

Responsibilities

• Deliver data cleansing and analysis for digital business.
• Work with the actuarial team to project data and analyze risk.
• Automate and optimize profitability for Digital Follow opportunities.

Skills

Data Science Techniques

Python

Statistical Skills

Data Manipulation

Data Analysis

Communication Skills

Education

Strong academic background

Tools

Azure Data Technology Stack

PowerBI

SQL

Data Factory

Synapse Analytics

Job description

Data Scientist

London Insurance Market

City, London (3-4 days per week onsite)

Permanent

Circa £75,000 per annum + benefits + 15% bonus

A fantastic opportunity has arisen for a Data Scientist, ideally with previous Insurance experience, to join a well respected London Market Insurer and play an important position in delivering requirements for the Digital Trading Division, focussing on the delivery of Digital Follow data science use cases.

Under the guidance of the Data Science Manager, you will assist in defining the strategic data requirements for delivery of data consumption use cases.

You need to be comfortable interacting with all teams within the business to understand, capture, prioritise and document business and technical requirements leading to the deployment of automated, optimised and highly effective analytics solutions.

You will have exceptional data science and programming skills with additional statistical, data manipulation and data analysis capability. This all-round knowledge will be key to ensure effective communication and collaboration with the data analytics and actuarial teams.

Key responsibilities:

• Helps the Data Science Manager to deliver:

a) Digital Data cleansing (e.g. matching of premium and claims for digital business), mining and analysing internal databases and external Broker data.

b) Work alongside actuarial team to project data and analyse risk and class performance.

c) Using data science/AI techniques to automate and build out rule sets to grow and maximise profitability for Digital Follow opportunities.

d) Optimise portfolios through the regular data monitoring and analysis of external (and internal) data.

Skills, Knowledge and Experience:

• Expert in data science techniques

• Advanced programming skills (Python an advantage)

• Strong statistical, data manipulation and data analysis skills

• Strong academic background

• Demonstrable' actuarial and/or data experience preferably in a Lloyd's environment

• Good written and face to face communication skills with people across the business (technical and non-technical)

• Experience in a similar role supporting the development of data consumption use cases an advantage

• Experience working with Azure data technology stack such as Data Factory, SQL, Synapse Analytics, PowerBI an advantage