Insurance Data Scientist (Propensity models) - Outside IR35

ShareForce, Inc.; Basingstoke; Remote; Full time

Job summary

A leading company in the insurance sector is seeking an Insurance Data Scientist to leverage cutting-edge Azure technologies for machine learning solutions. The successful candidate will lead model development, manage data architecture, and work closely with clients to maximize the potential of data science. This role requires a strong background in predictive modeling and excellent communication skills, with a competitive salary range based on experience.

Qualifications

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

Responsibilities

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

Skills

Microsoft Azure expertise

Predictive modeling

Statistical analysis

Data science coding

Excellent communication skills

Education

Background in data science or data engineering

Tools

Azure ML Studio

Databricks

Python

C#

SQL

R

Job description

Insurance Data Scientist (Propensity models) - Outside IR35

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Insurance Data Scientist (Propensity models) - Outside IR35

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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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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