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- Tasks: Design and deploy machine learning solutions to tackle complex business challenges.
- Company: PE Global, a leading international client in IT services and analytics.
- Benefits: Full-time role with opportunities for international travel and career growth.
- Why this job: Make a real impact by turning data into actionable insights in a dynamic environment.
- Qualifications: Degree in Data Science or related field; strong Python or R skills required.
- Other info: Join a collaborative team focused on innovative analytics and model deployment.
The predicted salary is between 36000 - 60000 £ per year.
PE Global is seeking a hands-on Data Scientist to design, build, and deploy machine learning and advanced analytics solutions that solve complex business problems of a leading international client. This role focuses on technical delivery, deep analytical work, and close collaboration with engineering and business teams to turn data into actionable insights.
Key Responsibilities
- Design, build, and deploy machine learning and statistical models for real-world use
- Perform exploratory data analysis on large, complex datasets
- Develop predictive and prescriptive analytics to support forecasting and decision-making
- Monitor, evaluate, and optimise model performance in production environments
- Work closely with data engineers and IT teams to ensure scalable deployment
- Translate business requirements into clear analytical solutions and insights
Requirements
- Degree in Data Science, Computer Science, Statistics, or a related field
- Strong hands-on experience with Python (or R) and machine learning libraries
- 5–8 years’ experience in data science or advanced analytics
- Proven track record of deploying models into production environments
Location
Based in Saudi Arabia with regular international travel.
Data Scientist in England employer: PE Global Energy & Technology
Contact Detail:
PE Global Energy & Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even referrals for that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and analytics work. We can use platforms like GitHub to share our code and demonstrate our hands-on experience with Python or R.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and case studies related to data science. We should practice explaining our thought process when solving complex problems, as this is key to impressing potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our applications to highlight how our skills align with the job description.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your analytical skills. We want to see how you can turn data into actionable insights!
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 needs. Don’t forget to mention your collaborative spirit, as we value teamwork at StudySmarter.
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to include them in your application. Whether it's deploying models or performing exploratory data analysis, we love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at PE Global Energy & Technology
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python or R. Be ready to discuss your experience with machine learning libraries and how you've applied them in real-world scenarios. Prepare to explain complex concepts in a way that’s easy to understand.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled complex business problems using data science. Be prepared to walk through your thought process, from exploratory data analysis to deploying models. This will demonstrate your analytical mindset and ability to deliver actionable insights.
✨Collaboration is Key
Since this role involves working closely with engineering and business teams, be ready to discuss your experience in collaborative environments. Share examples of how you've translated business requirements into analytical solutions and how you’ve worked with cross-functional teams.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practice common data science problems and be familiar with model performance metrics. This will help you feel more confident and show that you're serious about the role.
