Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy machine learning solutions to tackle complex business challenges.
- Company: PE Global, a leading international client-focused tech company.
- 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 skills and 5-8 years experience.
- Other info: Collaborate closely with engineering teams and enjoy a hands-on role.
The predicted salary is between 36000 - 60000 ÂŁ per year.
PE Global is seeking a handsâon 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 realâworld use
- Perform exploratory data analysis on large, complex datasets
- Develop predictive and prescriptive analytics to support forecasting and decisionâmaking
- 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 handsâon experience with Python (or R) and machine learning libraries
- 5â8 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 London employer: PE Global Energy & Technology
Contact Detail:
PE Global Energy & Technology Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist in London
â¨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.
â¨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 other tools, making you stand out to potential employers.
â¨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 turned complex data into actionable insightsâthis is what employers want to hear!
â¨Tip Number 4
Don't forget to apply through our website! Weâve got loads of exciting roles waiting for talented data scientists like you. Keep an eye on our listings and get your application inâit could be your next big opportunity!
We think you need these skills to ace Data Scientist in London
Some tips for your application đŤĄ
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. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Projects: If you've got any cool projects or case studies, donât hesitate to include them! We love seeing real-world applications of your skills, especially if they involve deploying models into production.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you donât miss out on any important updates from us!
How to prepare for a job interview at PE Global Energy & Technology
â¨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. This is your chance to showcase your hands-on experience!
â¨Showcase Your Problem-Solving Skills
Prepare examples of complex business problems you've solved using data science. Think about the analytical methods you used and how you translated business requirements into actionable insights. This will demonstrate your ability to deliver results.
â¨Collaboration is Key
Since this role involves working closely with engineering and business teams, be ready to talk about your experience collaborating with others. Highlight any projects where teamwork was essential to success, and how you communicated technical concepts to non-technical stakeholders.
â¨Stay Current with Trends
Familiarise yourself with the latest trends in data science and analytics. Being able to discuss recent advancements or tools can set you apart from other candidates. It shows you're passionate about the field and committed to continuous learning.
