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- Tasks: Dive into data analysis and machine learning to solve real-world problems.
- Company: Join a growing tech company with a mission-driven culture.
- Benefits: Hybrid working model, 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.
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 Paisley employer: Experis Scotland
Contact Detail:
Experis Scotland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in Paisley
✨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 the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data analysis work. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨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 collaborating 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 like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Junior Data Scientist in Paisley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with machine learning models and Python skills. We want to see how your background fits the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at StudySmarter and how you can contribute to our mission-driven culture. Keep it concise but impactful!
Showcase Your Communication Skills: Since you'll be collaborating with both technical and non-technical teams, make sure to highlight your ability to communicate complex data insights clearly. This will set you apart as a candidate who can bridge gaps between different groups.
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 shows you’re keen on joining our team!
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 with developing models. Make sure you can explain your thought process clearly, as this role is all about applying those concepts to real-world problems.
✨Showcase Your Python Skills
Since strong Python skills are essential for this position, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain a piece of code, so practice writing clean, efficient code and be ready to discuss your coding practices.
✨Communicate Clearly
This role involves collaborating with both technical and non-technical teams, so practice explaining complex data concepts in simple terms. Be prepared to share examples of how you've communicated results in the past, especially if you've produced technical documentation or reports.
✨Understand the Company’s Mission
Research the company’s analytical platform and its applications in regulated environments. Showing that you understand their mission and how your skills can contribute will set you apart. Think about how your previous experiences align with their goals and be ready to discuss them.