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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 professional 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
- 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
Based in Saudi Arabia with regular international travel.
Data Scientist 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and analytics work. This is your chance to demonstrate your hands-on experience with Python and how you've tackled real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you’ve collaborated with engineering and business teams to deliver insights.
✨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 Data Scientist
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 you've worked on. We want to see how your skills match what we're looking for!
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 you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've got any cool projects or case studies, don’t hesitate to include them! We’re keen to see real-world applications of your skills, so share links or summaries that demonstrate your analytical prowess.
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 don’t miss out on any important updates from our team!
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 showcase specific projects where you've designed and deployed models.
✨Understand the Business Side
Since this role involves translating business requirements into analytical solutions, do some homework on the company and its industry. Think about how data science can solve their specific challenges and be prepared to share your insights during the interview.
✨Showcase Collaboration Skills
This position requires close collaboration with engineering and business teams. Be ready to discuss examples of how you've worked effectively in cross-functional teams. Highlight any experiences where your communication skills helped bridge the gap between technical and non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your analytical thinking and problem-solving abilities. Practice explaining your thought process when tackling complex datasets or model performance issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
