Insurance Data Scientist (Propensity models) - Outside IR35

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.

• 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.

• 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.