Senior Data Scientist

We are currently partnering with a Market-Leading Insurer to recruit a Senior Data Scientist on a permanent basis. The role will include joining our new Data Science & AI Centre of Excellence, developing innovative digital products using Python and Azure Machine Learning. Based in London with hybrid working, you'll collaborate with actuaries, brokers, and product teams to deliver data-driven solutions that create real value for client insurers.

Key Responsibilities:

• Document all business processes in line with company methodology, ensuring accuracy, consistency, and an up-to-date process landscape to support continuous improvement.
• Identify and prioritise opportunities for digitalisation, automation, or waste reduction in front-office processes, balancing impact and effort for maximum value.
• Lead cross-departmental process improvement initiatives with a focus on automation, risk reduction, and optimal task alignment across teams.
• Gather and manage business requirements for digital solutions, working closely with IT to support development, testing, and successful deployment.
• Assess process control effectiveness, agree on action plans, and implement monitoring mechanisms to manage and reduce process-related risks.
• Manage process improvement projects involving internal teams and outsourced partners, ensuring clear documentation, strong communication, and support for good Conduct and customer-focused outcomes.

The Ideal Candidate:

• Demonstrated experience delivering impactful data science solutions in a senior role.
• Proficient in Python with hands-on experience using Azure Machine Learning tools and environments.
• Solid knowledge of both traditional machine learning models and modern deep learning approaches.
• Commercially minded, with a strong interest in risk analytics and the reinsurance sector.
• Skilled in analytical thinking, problem-solving, and communicating complex ideas clearly.
• Degree in Computer Science, Data Science, or related field, or equivalent experience.