Senior Data Scientist

Eastbourne Digifest; Bexhill-on-Sea; Hybrid; GBP 60,000 - 95,000; Full time

Job summary

Eastbourne Digifest seeks a seasoned machine learning professional to build and deploy pricing and risk solutions in a commercial setting. You will lead end-to-end ML projects from exploration to deployment.

Collaborate with data scientists, data engineers, and stakeholders to translate business challenges into measurable analytical outcomes, applying cutting-edge techniques and robust data practices.

Qualifications

• Strong commercial experience delivering machine learning projects from initial exploration through to deployment and ongoing optimisation.
• Advanced Python and SQL skills.
• Experience with Azure Machine Learning, Azure cloud technologies, and Git.
• Proven ability to communicate technical concepts to a range of stakeholders and influence decision-making.
• Experience working across multidisciplinary data and analytics teams.
• Strong problem-solving capabilities and a track record of delivering high-quality analytical solutions.
• An interest in applying innovative data science techniques to real-world business challenges.

Responsibilities

• Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics.
• Creating and maintaining analytical tools that improve portfolio management and commercial performance.
• Identifying, evaluating, and extracting value from new internal and external data sources.
• Engineering new features and rating factors to enhance existing pricing algorithms.
• Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities.
• Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into impactful solutions.
• Exploring emerging machine learning techniques and assessing their commercial application.

Skills

Machine learning

Python

SQL

Stakeholder management

Data analysis

Communication

Problem solving

Tools

Azure Machine Learning

Git

Azure Cloud Technologies

Job description

You will play a key role in building and deploying advanced machine learning solutions that support pricing and risk decision-making.

Responsibilities include:

• Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics.
• Creating and maintaining analytical tools that improve portfolio management and commercial performance.
• Identifying, evaluating, and extracting value from new internal and external data sources.
• Engineering new features and rating factors to enhance existing pricing algorithms.
• Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities.
• Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into impactful solutions.
• Exploring emerging machine learning techniques and assessing their commercial application.

Your Skills & Experience

• Strong commercial experience delivering machine learning projects from initial exploration through to deployment and ongoing optimisation.
• Advanced Python and SQL skills.
• Experience with Azure Machine Learning, Azure cloud technologies, and Git.
• Proven ability to communicate technical concepts to a range of stakeholders and influence decision-making.
• Experience working across multidisciplinary data and analytics teams.
• Strong problem-solving capabilities and a track record of delivering high-quality analytical solutions.
• An interest in applying innovative data science techniques to real-world business challenges.