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- Tasks: Dive into data science, applying machine learning to tackle real-world challenges.
- Company: Join a growing tech company with a mission-driven culture.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for professional growth.
- Other info: Collaborate with scientists and engineers on exciting projects in Glasgow.
- Why this job: Make a meaningful impact while developing your skills in a supportive environment.
- Qualifications: Degree in a quantitative field and hands-on machine learning experience required.
The predicted salary is between 30000 - 40000 ÂŁ per year.
I’m hiring for a junior 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.
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. The 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
- 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 (3 days onsite) and flexibility around hours. Candidates must have full right to work in the UK permanently.
Junior Data Scientist in Glasgow employer: Experis Scotland
Contact Detail:
Experis Scotland 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 problem-solving skills. Practice explaining your thought process clearly, as communication is key when working with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals ready to tackle real-world problems. Your next big opportunity could be just a click away!
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 highlights your relevant experience in data science and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any hands-on projects you've tackled!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our mission-driven culture. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to mention them! Whether it's a personal project or something from your studies, we want to see how you've applied your skills to solve real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Experis Scotland
✨Know Your Data Science Basics
Brush up on your machine learning fundamentals and be ready to discuss your hands-on experience. Make sure you can explain the models you've worked with, how they were developed, and their practical applications.
✨Showcase Your Python Skills
Since strong Python skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your code, so practice writing clean, efficient code that you can easily communicate.
✨Prepare for Collaboration Questions
This role involves working with both technical and non-technical teams. Think of examples from your past experiences where you successfully collaborated with others, and be ready to discuss how you communicated complex data insights clearly.
✨Understand the Company’s Mission
Research the company’s analytical platform and its impact on real-world problems. Being able to articulate how your values align with their mission-driven culture will show your genuine interest in the role and the organisation.