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- Tasks: Dive into data science, tackling real-world problems with machine learning and complex datasets.
- Company: Join a growing tech company with a mission-driven, collaborative culture.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for professional growth.
- Other info: Ideal for early to mid-level Data Scientists seeking practical experience.
- Why this job: Make a meaningful impact while developing your skills in a supportive environment.
- Qualifications: Degree in a quantitative field and hands-on experience with machine learning.
The predicted salary is between 30000 - 40000 ÂŁ per year.
I'm hiring for a Data Scientist to join a growing technology company applying advanced data science and machine learning to complex, real‑world problems in a highly regulated environment. The company has built a proprietary analytical platform that has been successfully validated through large‑scale, real‑world use. The work is firmly applied rather than academic, with a strong focus on robustness, performance, and practical impact. Following recent progress, the R&D team is now expanding and offers a collaborative, mission‑driven culture.
The Role
This role focuses on applied machine learning and data analysis, working with complex datasets alongside scientists and engineers. You'll contribute across the model lifecycle - from exploration and development through to evaluation, documentation, and deployment‑ready outputs. This position suits an early‑to mid‑level Data Scientist looking to work on meaningful problems, gain exposure to production‑grade ML, and develop technical judgement with support from senior colleagues.
Essential Experience
- Degree in a quantitative or scientific discipline, or equivalent professional experience
- Hands‑on experience developing machine learning models
- Strong Python skills and clean coding practices
- Ability to work with complex datasets and communicate results clearly
- Comfortable collaborating across technical and non‑technical teams
- Experience producing clear technical documentation or reports
Nice to Have
- Experience in regulated or safety‑critical environments
- Linux or high‑performance computing exposure
- Knowledge of databases or data pipelines
- Experience with additional languages (e.g. R, C/C++, C#)
Location & Working Style
Based in Glasgow, with a hybrid working model and flexibility around hours. Candidates must have the full right to work in the UK permanently without visa sponsorship.
Junior Data Scientist in Glasgow employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have a lead on that perfect Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data analysis work. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Data Scientist in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Data Scientist role. Highlight your hands-on experience with machine learning models and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our goals. Don’t forget to mention your collaborative spirit, as we value teamwork here at StudySmarter.
Showcase Your Technical Skills: Be sure to include specific examples of your Python skills and any experience with complex datasets. If you've produced technical documentation or reports, mention that too! We love seeing clear communication in action.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our mission-driven team. We can’t wait to see your application!
How to prepare for a job interview at Experis UK
✨Know Your Data Science Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss the models you've worked with, how you approached data analysis, and the impact of your work. This role is all about applied data science, so having concrete examples will really help you stand out.
✨Show Off Your Python Skills
Since strong Python skills are essential for this position, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your coding practices. Practising clean coding techniques and being able to articulate your thought process will impress the interviewers.
✨Communicate Clearly
You’ll need to collaborate with both technical and non-technical teams, so clear communication is key. Practice explaining complex concepts in simple terms. Think about how you would present your findings to someone without a technical background, as this will show your ability to bridge the gap between teams.
✨Prepare for Real-World Applications
This company focuses on practical impact, so be ready to discuss how your previous projects have made a difference. Think about challenges you faced in regulated environments and how you overcame them. Showing that you understand the importance of robustness and performance in real-world applications will resonate well with the interviewers.