Data Scientist

Data Scientist Liverpool (Hybrid) | Up to £55,000

Looking to apply advanced analytics and machine learning in a role where your work directly influences business decisions? This is an opportunity to join a well-established consumer-focused organisation investing heavily in its data capabilities. You'll work on a broad range of projects, turning complex datasets into actionable insights and delivering measurable commercial impact.

The Company They are a recognised organisation with a large customer base and a growing commitment to data-driven decision making. Their analytics and technology teams play a key role in shaping strategy, improving customer outcomes, and driving operational performance. With continued investment in AI, machine learning, and cloud technologies, they offer an environment where innovation and collaboration are actively encouraged.

The Role You will be responsible for:

• Collecting, cleaning, and preparing data from multiple sources to ensure quality and accuracy.
• Applying statistical analysis and machine learning techniques to solve business challenges.
• Building, deploying, and maintaining predictive models that deliver tangible value.
• Developing and enhancing AI and machine learning solutions using modern cloud-based tools.
• Creating dashboards and visualisations that communicate insights clearly to stakeholders.
• Working closely with analysts, engineers, and business teams to deliver data science projects.
• Identifying trends, opportunities, and risks through advanced analytics.
• Keeping up to date with the latest developments in data science, AI, and machine learning.

Your Skills & Experience

• Strong commercial experience delivering data science solutions.
• Excellent Python or R programming skills.
• Strong SQL capabilities for data extraction and analysis.
• Experience with forecasting, statistical modelling, and machine learning techniques.
• Knowledge of the full data science lifecycle from model development through to deployment and monitoring.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Ability to communicate technical findings to both technical and non-technical stakeholders.
• Passion for using data to solve real-world business problems.

How to Apply To find out more about this opportunity, please apply with your CV and we'll be in touch to discuss the role in more detail.