Apprentice Junior Data Scientist

Become our next IT Apprentice at The Compleat Food Group!

We have an exciting opportunity for an Apprentice Junior Data Scientist to join our IT team based in Crewe.

This role will give you the opportunity to support the development of data science capability by developing the skills, knowledge and practical experience required to become a Junior Data Scientist.

You will combine structured learning with hands‑on experience working with real business data to support analytics, and decision‑making across commercial, supply chain, and operational teams throughout the business.

By the end of the apprenticeship, you will be able to contribute to the design, development and deployment of data science solutions that improve business insight, efficiency, and performance.

At The Compleat Food Group, we’re on a mission to create great‑tasting food that not only brings joy to your taste buds but also extends love to our planet. We fondly refer to it as ‘Food to Feel Good’ because we believe in savouring every bite whilst making a positive impact.

Our team of 6,000 remarkable individuals forms the core of all that we undertake. Their genuine passion drives the creation of delectable products for UK consumers, prominent retailers, and our thrilling market‑leading brands such as Wall’s Pastry, Squeaky Bean, and Unearthed.

This is a hybrid role with working hours from Monday to Thursday, 8:30 AM – 5:00 PM, and an early finish at 4:00 PM on Fridays. We also offer flexibility with hours and working from home availability to help you maintain a healthy work‑life balance!

• Support data scientists and analytics teams in collecting, cleaning and preparing datasets for analysis and modelling.
• Assist in exploratory data analysis to identify patterns, trends and opportunities within commercial, supply chain, and operational data.
• Contribute to the development of statistical and machine learning models under supervision.
• Work with large datasets using Python, SQL and modern analytics platforms.
• Support the maintenance and improvement of analytical workflows.
• Participate in testing, validation and documentation of data science models and analytical outputs.
• Collaborate with cross‑functional teams to understand business problems and translate them into analytical tasks.
• Follow best practices in data governance, data quality and responsible AI usage.
• Continuously develop technical and analytical skills through the apprenticeship programme and internal mentorship.

• Two A‑Levels in one or more similar subjects plus B in A‑Level maths.
• Two A‑Levels in one or more similar subjects plus 2‑years work experience in tech.
• Level 4 or 5 apprenticeship in a similar technical subject.
• 3 + years in a similar subject – related role.
• A first degree in a numerate discipline (but excluding Computer Science as not fundable).
• Strong interest in data, analytics, and problem solving.
• Basic understanding of mathematics, statistics or data analysis concepts.
• Analytical mindset with the ability to work with structured data.
• Good communication skills and ability to explain findings clearly.
• Willingness to learn programming languages such as Python or SQL.
• Ability to work collaboratively within a team environment.
• Strong attention to detail and commitment to data accuracy.
• Ability to apply mathematical reasoning to solve analytical problems.
• Exposure to programming or scripting (e.g. Python, R, SQL).
• Basic understanding of data visualisation tools (Power BI, Tableau or similar).
• Awareness of machine learning or statistical modelling concepts.
• Interest in food manufacturing, supply chain analytics or commercial analytics.
• 33 days holiday (including bank holidays).
• 2 Employee Volunteering Days per year.
• Employee well‑being and community support groups.
• Informal and formal training opportunities with personalised online LMS platform.
• Charity initiatives and team events.
• 24/7 Access to Grocery Aid (free financial, emotional and practical support).
• Physical well‑being benefits – free on‑demand exercise hub and various gym discounts.
• Free financial well‑being – mortgage calculators, budget tools,…