Data Scientist

Harnham; St Helens; On-site; GBP 60,000 - 90,000; Full time

Job summary

Harnham in Merseyside is seeking a Data Scientist to work with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. You will build and deploy ML models for customer segmentation, lifetime value, and forecasting, and collaborate with data engineers, analysts, and business stakeholders to deliver high-impact solutions.

The role emphasizes production-ready delivery, scalable DS platform contributions, and close

Qualifications

• Strong commercial experience in Data Science, delivering end-to-end projects.
• Proficiency in Python, with solid SQL skills.
• Experience applying machine learning and statistical techniques to business problems.
• Exposure to deploying models into production environments.
• Understanding of cloud platforms such as GCP or Azure is beneficial.
• Ability to communicate insights clearly to non-technical stakeholders.
• A practical, delivery-focused mindset with a collaborative approach.

Responsibilities

• Building and deploying machine learning models across customer use cases.
• Delivering projects focused on customer segmentation, lifetime value, and forecasting.
• Supporting targeted marketing activity, including campaigns and personalisation.
• Collaborating with data engineers, analysts, and business stakeholders.
• Contributing to the development of a scalable Data Science platform.
• Ensuring models are production-ready and drive measurable business impact.

Skills

Python

SQL

Machine learning

Production deployment

Cloud platforms

Communication

Delivery mindset

Tools

GCP

Azure

Job description

Data Scientist - Merseyside

As a Data Scientist, you will work closely with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include:

• Building and deploying machine learning models across customer use cases
• Delivering projects focused on customer segmentation, lifetime value, and forecasting
• Supporting targeted marketing activity, including campaigns and personalisation
• Collaborating with data engineers, analysts, and business stakeholders
• Contributing to the development of a scalable Data Science platform
• Ensuring models are production-ready and drive measurable business impact

Your Skills & Experience

• Strong commercial experience in Data Science, delivering end-to-end projects
• Proficiency in Python, with solid SQL skills
• Experience applying machine learning and statistical techniques to business problems
• Exposure to deploying models into production environments
• Understanding of cloud platforms such as GCP or Azure is beneficial
• Ability to communicate insights clearly to non-technical stakeholders
• A practical, delivery-focused mindset with a collaborative approach