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Senior Data Scientist

Edenbrook

London

Hybrid

GBP 60,000 - 90,000

Full time

Yesterday

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Job summary

Edenbrook is seeking a Senior Data Scientist to join their Data Science & AI Centre of Excellence in London. The role involves developing innovative digital products using Python and Azure Machine Learning, collaborating with various teams to deliver data-driven solutions. Ideal candidates will have a strong background in data science, experience in automation, and a degree in a relevant field.

Qualifications

Demonstrated experience delivering impactful data science solutions in a senior role.
Solid knowledge of traditional machine learning models and modern deep learning approaches.
Commercially minded with a strong interest in risk analytics.

Responsibilities

Document all business processes in line with company methodology.
Identify and prioritise opportunities for digitalisation and automation.
Lead cross-departmental process improvement initiatives.

Skills

Python

Azure Machine Learning

Analytical Thinking

Problem Solving

Education

Degree in Computer Science, Data Science, or related field

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This range is provided by Edenbrook. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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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.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Analyst and Strategy/Planning
Industries
Insurance

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