Data Scientist

Harnham - Data and Analytics Recruitment
St. Helens, United Kingdom
4 days ago
£40,000 – £50,000 pa
Applications closed

Related Jobs

View all jobs

Data Scientist

Harnham - Data and Analytics Recruitment St. Helens, United Kingdom
£40,000 – £50,000 pa Hybrid

Data Scientist

Yolk Recruitment Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£60,000 – £70,000 pa Hybrid

Senior Data Scientist (LLMs, RAG, GCP & Agentic Systems)

Robert Walters London, United Kingdom
£75,000 – £90,000 pa Hybrid

Data Engineer

hireful Exeter, United Kingdom
£50,000 – £55,000 pa Hybrid

Data Engineer

hireful Bristol, United Kingdom
£50,000 – £55,000 pa Hybrid

Data Platform Manager

Deerfoot Recruitment Solutions Luton, ME4 4NP, United Kingdom
£70,000 pa Remote

Salary

£40,000 – £50,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Visa Sponsorship
Available
Posted
15 Jun 2026 (4 days ago)

Benefits

25 days holiday Pension scheme Private healthcare Remote working allowance Professional development budget

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

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.