At a Glance
- Tasks: Support data scientists in analysing real business data and developing data science solutions.
- Company: Join The Compleat Food Group, a mission-driven company creating great-tasting food.
- Benefits: Enjoy 33 days holiday, flexible working, and access to well-being support.
- Other info: Be part of an inclusive team that values diversity and personal growth.
- Why this job: Kickstart your career in data science with hands-on experience and mentorship.
- Qualifications: A-Levels in relevant subjects or equivalent experience; passion for data and analytics.
The predicted salary is between 63000 - 77000 £ per year.
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.
Who We Are
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 c6,000 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.
Working Hours
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, who doesn’t love that?
We also offer flexibility with hours and working from home availability to help you maintain a healthy work‑life balance!
Your Duties Will Include
- 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.
Skills, Experience and Qualifications
Criteria
- Two A-Levels in one or more similar subject plus B in A-Level maths
- Two A-Levels in one or more similar subject 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 analytic
- 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 Wellbeing Benefits – Free on demand exercise hub and various gym discounts.
- Free Financial wellbeing – mortgage calculators, budget tools, financial aid tools
- Holiday Discounts via Online Retail Discount
Contact us with any questions about Diversity & Inclusion or accessibility during the application process.
Recruitment Agencies
We have a small, active and trusted Preferred Supplier List to assist us if required.
We do not acknowledge any speculative CVs or unsolicited candidate introductions.
We only accept CV submissions for roles released to you directly by our Talent Acquisition team.
What You Should Know About How We Recruit
At The Compleat Food Group, we believe great teams are built on difference. We create an inclusive, respectful environment where everyone feels safe, supported, and are able to be themselves at work.
We’re proud to be an equal opportunities employer and are committed to Fairness, Equity, Inclusivity, and Respect. If you need a reasonable adjustment at any stage of our recruitment process, just let us know, we’ll support you — confidentially and with care.
We hire the best people for our roles, not the same people. Whoever you are, wherever you’re from, we focus on what you do and the impact you could make in our business. Our recruitment process is fair, accessible, and designed to give everyone an equal chance.
You’ll also find benefits that support people at every life stage, plus active internal networks — including Women @ Compleat,
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Apprentice Junior Data Scientist in Crewe employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Apprentice Junior Data Scientist in Crewe
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at Allscreens Nationwide Ltd.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of Allscreens Nationwide Ltd and show them you’re genuinely passionate about the field.
We think you need these skills to ace Apprentice Junior Data Scientist in Crewe
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at Allscreens Nationwide Ltd that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at Allscreens Nationwide Ltd
✨Brush Up on the Basics
Before your interview with Allscreens Nationwide Ltd, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at Allscreens Nationwide Ltd. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!
