Data Scientist — ML for Customer Insights & Growth

Harnham - Data and Analytics Recruitment; St Helens; On-site; GBP 50,000 - 75,000; Full time

Job summary

Harnham - Data and Analytics Recruitment is seeking a Data Scientist to join the Merseyside area. You will work with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making.

Your responsibilities include building models for customer segmentation, lifetime value, forecasting, and supporting targeted marketing activities. Collaboration with data engineers, analysts, and stakeholders will be key to delivering scalable DS

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

Data Science

Python

SQL

Machine learning

Production deployment

Cloud platforms

Stakeholder communication

Tools

GCP

Azure

Job description

Harnham - Data and Analytics Recruitment is seeking a Data Scientist to join the Merseyside area. You will work with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making.

Your responsibilities include building models for customer segmentation, lifetime value, forecasting, and supporting targeted marketing activities. Collaboration with data engineers, analysts, and stakeholders will be key to delivering scalable DS