Data Scientist: AI, ML & Insights for Business

Matalan; Liverpool; Remote; GBP 55,000 - 90,000; Full time

Benefits offered by this job

Staff discount 20%

Recognition scheme

Wellbeing support

Life Assurance

Retail Rewards platform

Pension scheme

Career development

Additional benefits

Job summary

Matalan is seeking a Data Scientist to transform complex data into actionable insights that drive business performance. You will use statistical methods, machine learning, and data visualisation to support decision‑making across the organisation.

You will collect, clean, and prepare data from multiple sources, build predictive models, and present findings to stakeholders. This role emphasizes end‑to‑end data projects and continuous learning.

Qualifications

• Degree or background in a numerate discipline with data science experience.
• Experience applying forecasting, statistical, and ML techniques to business problems.
• Proficient in Python or R and SQL.
• Experience with cloud platforms (AWS, GCP, Azure).

Responsibilities

• Collect, clean, and prepare data from multiple sources.
• Apply statistical and analytical techniques to uncover insights and trends.
• Build and deploy predictive models using machine learning methods.
• Visualise data through clear, engaging dashboards and presentations.
• Collaborate with engineers, analysts, and business leaders to deliver impactful projects.
• Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML.
• Stay up to date with emerging tools, technologies, and best practices in data science.
• Measure success through model accuracy, quality of insights, project delivery, stakeholder satisfaction, and tangible business value.

Skills

Python or R

SQL

Forecasting techniques

Statistical modeling

Machine learning

Data visualization

Stakeholder communication

Education

Numerate discipline degree

Tools

AWS

GCP

Azure

Job description

Matalan is seeking a Data Scientist to transform complex data into actionable insights that drive business performance. You will use statistical methods, machine learning, and data visualisation to support decision‑making across the organisation.

You will collect, clean, and prepare data from multiple sources, build predictive models, and present findings to stakeholders. This role emphasizes end‑to‑end data projects and continuous learning.