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- Tasks: Apply advanced data science and machine learning to solve real-world problems.
- Company: Experis Scotland, a dynamic team in Glasgow with a focus on innovation.
- Benefits: Flexible hybrid working model and support from experienced colleagues.
- Other info: Great opportunity for career growth in a regulated environment.
- Why this job: Make a real impact while developing your skills in a collaborative environment.
- Qualifications: Degree in a quantitative field and strong Python skills required.
The predicted salary is between 30000 - 40000 £ per year.
Experis Scotland is hiring a junior Data Scientist to join their team in Glasgow. This role involves applying advanced data science and machine learning to real-world problems in a regulated environment. You will work closely with scientists and engineers throughout the model lifecycle, with support from senior colleagues.
Essential qualifications include:
- A degree in a quantitative field
- Strong Python skills
The position offers a hybrid working model with flexibility around hours.
Applied Data Scientist – Real‑World ML, Hybrid (UK) employer: Experis Scotland
Contact Detail:
Experis Scotland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist – Real‑World ML, Hybrid (UK)
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This is your chance to demonstrate what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Applied Data Scientist – Real‑World ML, Hybrid (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your degree in a quantitative field and showcases your Python skills. We want to see how your background fits with the role, so don’t be shy about including relevant projects or experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Applied Data Scientist role and how you can contribute to solving real-world problems. We love seeing genuine enthusiasm!
Showcase Your Projects: If you've worked on any data science or machine learning projects, make sure to mention them! We’re keen to see how you’ve applied your skills in practical situations, especially in regulated environments.
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’s super easy!
How to prepare for a job interview at Experis Scotland
✨Know Your Python Inside Out
Since strong Python skills are essential for this role, make sure you brush up on your coding abilities. Be prepared to discuss your experience with Python libraries commonly used in data science, like Pandas and NumPy, and maybe even solve a coding challenge during the interview.
✨Understand Real-World Applications
Familiarise yourself with how machine learning is applied in regulated environments. Think of examples where data science has solved real-world problems, especially in industries like healthcare or finance, and be ready to discuss these during your interview.
✨Showcase Your Teamwork Skills
This role involves working closely with scientists and engineers, so highlight any past experiences where you've collaborated effectively in a team. Prepare examples that demonstrate your ability to communicate complex ideas clearly and work towards common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and the team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Questions about their approach to model lifecycle management could be particularly relevant.