At a Glance
- Tasks: Shape data management and analysis for cutting-edge semiconductor research.
- Company: Join Kubos Semiconductors, a leader in innovative GaN technology.
- Benefits: Competitive pay, hybrid work, hands-on experience, and potential for permanent role.
- Other info: Exciting opportunity in the South Wales semiconductor cluster with ongoing mentoring.
- Why this job: Make a real impact on how a research team works with AI and data tools.
- Qualifications: Degree in relevant field and programming experience, preferably in Python.
The predicted salary is between 13.7 - 13.7 £ per hour.
Kubos Semiconductors is developing and commercialising its patented technology in cubic gallium nitride (GaN) which has the potential to significantly increase the energy efficiency and switch speed of LEDs across the visible wavelength spectrum. Kubos’ technology can provide fundamental advantages across multiple markets, namely, next generation displays (including AR/VR), high-efficiency LED lighting and optical communications.
Kubos has a small team of its own but is fabless, with all its development carried out at third party facilities including both academic institutions and commercial manufacturing facilities. From its office in Cardiff, Kubos is ideally situated in the South Wales semiconductor cluster with ease of access to the wider UK semiconductor eco-system. On completion of development, Kubos plans to license its technology to existing large OEMs and LED manufacturers, providing low barrier to entry to developers wishing to take advantage of cubic-GaN technology.
This is an exciting chance to shape how a deep-tech company manages and analyses that data, so its scientists and engineers can spend less time processing results and more time understanding what the experiments are telling them. Working closely with the team, you will review how data is handled today, recommend the right tools, including AI-powered options, and show what is possible using Kubos’ real experimental data. You will have the freedom to shape your own solutions and see the impact of your work on a growing research team.
What You Will Do
- Review Kubos’ current data management and analysis processes, mapping the sources of experimental data and how they are handled.
- Work with engineers to understand what results they need to see, and how they want to compare results across experiments and over time.
- Work with staff to define a standard report template for experimental campaigns.
- Build and demonstrate automated data processing and reporting using real data, reducing manual copy-and-paste work.
- Explore how AI and data tools could support design of experiments, helping the team decide what to test next.
- Deliver training to the team on new tools and ways of working, so they can use them with confidence.
What We Offer
- Location: Cardiff, hybrid, with a minimum of 3 days a week in the office.
- Hours: 30 hours per week, worked over 4 days.
- Contract length: 6-month graduate placement through Tech Talent Cymru, with the potential to become a permanent role.
- Start date: Mid-to-late January 2027.
- Salary: £13.70 per hour.
- Pension: Workplace pension with employer contributions.
- The chance to work at the cutting edge of semiconductor technology in a deep-tech company.
- Real ownership of a project that will change how a research team works.
- Hands-on experience applying data and AI tools to real experimental data.
- A place in the growing South Wales semiconductor cluster.
- Part of Tech Talent Cymru.
This role is offered through Tech Talent Cymru, a graduate placement programme funded by Innovate UK and delivered by Darogan. It connects talented graduates with employers across Wales that need digital and technical skills to grow.
On top of everything your host company offers, as a Tech Talent Cymru graduate you will receive:
- Dedicated training before your placement begins, so you start ready to make an impact.
- Ongoing mentoring throughout your placement, from people outside your day-to-day team.
- Unless you choose to opt out, applying for this role also means you’ll be considered for future opportunities on the Tech Talent Cymru programme, so one application could open more than one door.
Requirements
Essential
- A degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Physics, Engineering or a related discipline.
- Experience handling and visualising data.
- Programming experience, ideally in Python.
- A strong interest in AI and how it can automate data processing and analysis.
- Clear communication skills, with the ability to understand the needs of scientists and engineers.
- Organised and proactive, and comfortable working in a small team.
- Eligible to work in the UK.
Desirable
- Experience with JMP or other statistical analysis software.
- An interest in semiconductors, materials science or physics.
- Experience building automated reports or dashboards.
Graduate Data Engineer (AI) in Cardiff employer: Darogan
Futures First in Swansea is an exceptional employer, offering a dynamic graduate training programme that immerses you in the exciting world of derivatives markets. With a strong emphasis on finance, risk management, and quantitative analysis, our supportive work culture fosters continuous learning and professional growth, ensuring that you are well-prepared for a successful career in finance. Located in the vibrant city of Swansea, we provide a unique opportunity to gain hands-on experience while being part of a passionate team dedicated to excellence in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Engineer (AI) in Cardiff
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Darogan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Graduate Data Engineer (AI) at Darogan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Darogan.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Engineer (AI) at Darogan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Graduate Data Engineer (AI) in Cardiff
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Darogan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Darogan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Darogan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Darogan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
