Insurance Data Scientist (Propensity models) - Outside IR35

Shareforce; United Kingdom; Remote; GBP 100,000 - 125,000; Full time

Job summary

A leading company is seeking a Data Scientist to develop Machine Learning and AI solutions for an insurance client using MS Azure technologies. The role involves designing models, managing data architecture, and working closely with clients to leverage data science capabilities.

Qualifications

• Commercial experience leading a team or working independently.
• Experience with large data sets from various sources.
• Strong appetite to work closely with customers.

Responsibilities

• Lead the design and development of machine learning models.
• Build predictive modeling solutions and communicate findings.
• Manage the design and delivery of the data architecture.

Skills

Microsoft Azure

Machine Learning

Predictive Modeling

Statistical Analysis

Python

C#

SQL

R

Communication

Education

Background in Data Science or Data Engineering

Tools

Azure Machine Learning

ML Studio

Databricks

Job description

This is an opportunity for a Data Scientist to play a key role in building Machine Learning and AI Solutions for an Insurance client, leveraging cutting-edge MS Azure technologies. The successful candidate will have commercial experience leading a team or working independently.

Responsibilities:

• Take a lead role in the design and development of machine learning models, including propensity models and recommender engines.
• Build predictive modelling solutions.
• Help clients realise the potential of data science, machine learning, and scaled data processing within the Azure ecosystem.
• Ownership for the delivery of core solution component.
• Manage the design and delivery of the data architecture.
• Communicate and present findings and recommendations to stakeholders and customers.
• Work directly with clients to understand requirements and present solutions to customer sponsor.

Required Skills & Experience:

• Microsoft Azure expertise primarily using Azure Machine Learning.
• Extensive experience with Azure ML Studio, ML Flow, Databricks, Propensity Models and Recommender engines.
• Strong commercial experience creating predictive models, statistical analysis, and pricing analysis.
• Working with large data sets (real time, storage) from various data sources.
• Writing and reviewing data science code, proficient in Python, C#, SQL, R, or other programming languages for data analysis and machine learning.
• A background in data science or data engineering.
• Excellent communication skills.
• Strong appetite to work closely with customers.

Additional Information

• Rate: £500-550 (dependent on experience)
• IR35: Outside
• Start date: July
• Initial Duration: 3-month initial sign up
• Location: Remote with occasional travel onsite in Basingstoke.
• All applicants must be based in the UK and have the right to work.