Data Scientist- £450PD- Hybrid

Data Scientist- £450PD- Hybrid

• 
  
• Building solutions to critical business problems using a combination of data science and AI.
  
• Working closely with underwriters, product managers, and other stakeholders to ensure that your work delivers tangible business value.
  
• Contributing to projects such as developing a digital high net worth insurance offering and/or creating a portfolio analysis tool.
  

• 
  
• Participate in different phases of the software development lifecycle (SDLC) across multiple projects.
  
• Design technical solutions and produce supporting documentation in line with internal delivery frameworks.
  
• Comply with and help enforce design, coding, and testing standards, policies, and software engineering best practices.
  
• Collaborate with testing teams during product test and UAT phases to resolve assigned defects.
  
• Support code deployment and release processes across environments.
  
• Report status, issues, and risks to technical leads regularly.
  
• Troubleshoot and resolve issues arising during daily operations, providing timely solutions as required.
  
• Enhance technical and software engineering skills through ongoing training and certifications.
  

• 
  
• Exposure to the insurance industry.
  
• Experience with traditional data science techniques in Python.
  
• Experience building solutions using generative AI (particularly Gemini).
  
• Experience working with Azure and/or Google Cloud Platform (GCP).
  
• Ability to understand and interpret technical design documents.
  
• Strong communication skills, with the ability to work effectively with diverse stakeholders across disciplines.
  
• Experience in Agile methodologies.
  
• Excellent prioritization and time-management abilities.
  
• Strong analytical and problem-solving skills.
  
• Comfortable dealing with ambiguity in a fast-paced environment.
  
• Bachelor's degree in Information Technology, Computer Science, or a related field.
  

To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed).

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