At a Glance
- Tasks: Dive into quantum software, machine learning, and cybersecurity projects.
- Company: Join Quantinuum, a leader in quantum technology and innovation.
- Benefits: Collaborate with top scientists, gain hands-on experience, and potential full-time roles.
- Other info: Inclusive workplace with opportunities for growth and development.
- Why this job: Be at the forefront of quantum advancements and make a real impact.
- Qualifications: Master’s or Ph.D. candidates with a strong background in relevant fields.
The predicted salary is between 20000 - 30000 £ per year.
Our internship program offers 3‑6 month opportunities focused on projects or client collaborations. Interns will work on:
- Quantum software development
- Quantum chemistry
- Machine learning
- Algorithms
- Cybersecurity / encryption
- Hardware integration
Ideal candidates are pursuing or holding a master’s or Ph.D. with a strong background in the above areas. Interns may be approached on an ad‑hoc basis throughout the year and can potentially transition to full‑time roles upon completion. Benefits include working alongside a talented team of world‑leading scientists and engineers, and exposure to industry‑leading quantum systems. Employment is subject to successfully passing pre‑employment screening checks.
We are an inclusive equal‑opportunity employer and will not discriminate based on age, race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.
Internship Opportunities with Quantinuum 2026 – UK/Germany in London employer: Harper Adams University
Harper Adams University is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of data science. With a commitment to employee growth, the university provides ample opportunities for professional development while promoting a healthy work-life balance through its hybrid working model. Located in the UK, employees benefit from a supportive environment that values their contributions and encourages meaningful engagement in impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Internship Opportunities with Quantinuum 2026 – UK/Germany in London
✨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 Internship Opportunities with Quantinuum 2026 – UK/Germany in London
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 Harper Adams University 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 Harper Adams University
✨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 Harper Adams University.
✨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 Harper Adams University that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
