At a Glance
- Tasks: Support AI, data, and automation projects while learning from experienced professionals.
- Company: Join Cefetra, a leading trader in grains and animal feed with a focus on innovation.
- Benefits: Flexible hours, competitive pay, and a supportive work environment.
- Other info: Dynamic role with opportunities for growth and potential permanent positions.
- Why this job: Gain hands-on experience in AI and data while making a real impact.
- Qualifications: Curiosity, technical mindset, and willingness to learn; no expert skills required.
The predicted salary is between 63000 - 77000 £ per year.
AI, Data & Automation Intern
The organisation
Part of Cefetra Group, Cefetra Limited is one of the major traders of grains and animal feed raw materials in the UK and Ireland.
With long-term arrangements at strategically selected import facilities with a specialised network of suppliers, objective market analysis and a trusted approach to quality and sustainability, it is ideally positioned to meet customer requirements whilst reducing risk and increasing efficiency.
With 700,000 tonnes of storage capacity supported by state-of-the-art processing technology, the business dispatches between 85,000 – 90,000 tonnes of raw materials to industry partners every week and delivers up to 600 lorry loads per day.
Its products are used for animal feed and throughout the food and drink sector, supplying product to some of the largest food producers in sectors such as dairy, beef, lamb, poultry, pork, salmon, beer, bread, biscuits, breakfast cereals and pet food.
Parent organisation 'Cefetra Group' delivers more than 25 million tonnes of agri-feed per annum and is Europe's largest agri-service and trading business, serving customers from its 29 offices in 19 different countries, with revenues of over €4 billion.
The Opportunity
We are looking for two part‑time AI, Data & Automation Interns to support work across data, reporting, automation, AI‑assisted solution delivery, and internal business systems.
This role is ideal for students, recent graduates, or early‑career candidates who are curious, technically minded, organised, and comfortable using AI tools to solve practical business problems.
We are looking for a commitment of 20 hrs per week.
You will support a busy data and automation function that works across reporting, Power BI, SQL, Power Platform, business process improvement, system integrations, AI prototypes, documentation, and production support.
We do not expect candidates to be experts in every area.
One successful candidate may be stronger in data, BI, reporting, and automation, while another may be stronger in AI‑prototyping, coding, testing, and solution delivery.
Both roles require good judgement, clear communication, careful documentation, and a willingness to learn quickly.
A key part of the role will involve helping colleagues take ideas or AI‑generated prototypes — for example, solutions built with Claude, Codex, Chat GPT, Copilot, or similar tools — and support their journey toward reliable, maintainable, production‑ready solutions under appropriate supervision.
About the role
- Depending on your skills and the needs of the team, responsibilities may include:
- Supporting colleagues who are experimenting with AI‑assisted tools, prototypes, automations, or scripts.
- Helping turn rough ideas, prompts, and prototypes into clearer requirements and practical next steps.
- Reviewing AI‑generated or AI‑assisted outputs critically, rather than accepting them at face value.
- Testing small apps, scripts, workflows, reports, or automations before they are used more widely.
- Identifying gaps, edge cases, assumptions, bugs, risks, or missing documentation in early‑stage solutions.
- Supporting the movement of suitable prototypes toward production under supervision.
- Creating documentation, runbooks, support notes, test plans, and handover materials.
- Supporting SQL‑based reporting, data checks, and simple analysis.
- Helping maintain, test, and improve Power BI reports and dashboards.
- Assisting with Power Automate, Power Apps, workflow, or integration improvements.
- Investigating data quality issues and summarising findings clearly.
- Mapping data sources, report ownership, refresh schedules, dependencies, and known issues.
- Helping organise backlog items, tickets, technical notes, and small delivery tasks.
- Reviewing manual processes and identifying opportunities for automation or AI‑assisted improvement.
Role & Responsibilities – key outputs
Data, BI & Automation Support
This area may include
- Writing or updating basic SQL queries.
- Checking data quality and investigating mismatched figures.
- Supporting Power BI reports and dashboards.
- Documenting data sources, report logic, refresh schedules, and dependencies.
- Helping with Power Automate or Power Apps changes.
- Creating process maps, support notes, and operational runbooks.
- Helping clean up backlogs of reporting, data, or automation requests.
- Supporting recurring reporting or data validation tasks.
- AI‑Assisted Solution Delivery
This area may include
- Reviewing prototypes created with Claude, Codex, Chat GPT, Copilot, or similar tools.
- Helping colleagues clarify what problem a prototype is meant to solve.
- Testing AI‑generated code, scripts, apps, workflows, or automations.
- Checking whether an AI‑generated solution is reliable, secure, maintainable, and fit for purpose.
- Improving documentation around AI‑assisted solutions.
- Helping create test cases, acceptance criteria, and deployment notes.
- Supporting handover from prototype into normal support and maintenance processes.
- Helping colleagues use AI tools more effectively and responsibly.
- Example tasks
You might be asked to
- Review a prototype created by a colleague using Claude or Codex and summarise what needs fixing before it can be used more widely.
- Turn a rough AI‑generated solution into a clearer backlog item with requirements, risks, assumptions, and next steps.
- Test whether an automation works across realistic scenarios and document the results.
- Add basic validation, logging, comments, or error handling to a small script or workflow.
- Document how a Power BI report is built and where its data comes from.
- Write a SQL query to compare source data against reporting outputs.
- Investigate why numbers differ between two reports.
- Create a runbook for a recurring data, reporting, or automation process.
- Map a manual business process and suggest where automation or AI could help.
- Prepare simple documentation or a demo for an internal AI‑assisted workflow.
- Knowledge and Skills
A strong candidate will be able to
- Use AI tools confidently but not blindly.
- Break down vague business requests into clear tasks.
- Spot when a prototype is fragile, incomplete, insecure, or poorly documented.
- Communicate clearly with both technical and non-technical colleagues.
- Test their work properly before handing it over.
- Document work so that someone else can understand and maintain it.
- Escalate risks, uncertainty, or production concerns rather than guessing.
- Balance curiosity and experimentation with care, structure, and reliability.
Experience with any of the following would be helpful
- Chat GPT, Claude, Codex, Git Hub Copilot, or other AI tools.
- Prompting AI tools effectively.
- SQL.
- Python.
- Java Script or Type Script.
- Power BI.
- Excel.
- Power Automate.
- Power Apps.
- Azure Dev Ops.
- Git or Git Hub.
- APIs and integrations.
- Testing and debugging.
- Data modelling basics.
You do not need to have all these skills. We are more interested in evidence that you can learn quickly, work carefully, and use technology thoughtfully to solve real problems.
Working arrangement
Number of roles
Hours
Approximately 20 hours per week
Location
Glasgow/Hybrid
Duration
3 months / 6 months /1 to 2 years/possible perm roles
Reporting to
- Data Engineer
- 0141 445 7312 careers@cefetra. co. uk
Why work at Cefetra?
We care about our people, as they are our business, we offer competitive salaries plus many more benefits, and we know you'll find it an enjoyable place to work.
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AI, Data & Automation Interns in Glasgow employer: Cefetra
Cefetra Limited is an exceptional employer that prioritises the growth and well-being of its employees, offering a dynamic work culture where innovation thrives. Located in Glasgow, the company provides interns with hands-on experience in AI, data, and automation, alongside competitive salaries and numerous benefits. With a commitment to employee development and a collaborative environment, Cefetra fosters a space where curiosity and technical skills can flourish, making it an ideal choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI, Data & Automation Interns in Glasgow
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace AI, Data & Automation Interns in Glasgow
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Cefetra will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Cefetra
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Cefetra.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Cefetra that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
