Insurance Data Scientist (Propensity models) - Outside IR35

Shareforce • TRAFFIC • Not Specified, Not Specified, United Kingdom • 1d ago

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.

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