Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deliver advanced AI solutions to enhance trading performance and operational efficiency.
- Company: Leading organisation offering full relocation support to international applicants.
- Benefits: Competitive salary, bonuses, long-term incentives, and comprehensive benefits.
- Why this job: Make a real impact in AI while working with senior leadership and innovative teams.
- Qualifications: 5-10 years in data science with strong Python skills and experience in trading environments.
- Other info: Exciting opportunity to relocate to Saudi Arabia and travel globally.
The predicted salary is between 36000 - 60000 £ per year.
We are working with a leading organisation that is seeking a Data Scientist (AI Specialist) to deliver advanced AI and data-science solutions that enhance trading performance, risk management, and operational efficiency. This role combines hands-on machine-learning delivery with AI strategy and business partnership, ensuring AI initiatives generate measurable business value.
The role reports to the Chief Information Officer (CIO) and works closely with senior leadership, traders, risk managers, and technology teams.
Key Responsibilities- Define and execute the AI and data science roadmap aligned to trading, risk, and operational priorities
- Identify, shape, and prioritise high-value AI use cases with business stakeholders
- Design, build, and deploy machine-learning and advanced analytics models into production
- Perform exploratory data analysis and feature engineering on large, complex datasets
- Integrate models into operational and trading systems, including SAP ETRM where applicable
- Ensure models are explainable, reliable, and continuously monitored in production
- Track and report business value, KPIs, and performance of AI initiatives
- Apply AI governance, model risk, and responsible AI standards
- Drive adoption of AI solutions through close collaboration with business and technology teams
- Exposure to trading platforms, risk systems, and SAP ETRM
- Strong hands-on expertise in Python (and/or R)
- Advanced knowledge of Pandas, NumPy, Scikit-Learn, and statistical modelling
- Experience with time-series, optimisation, forecasting, NLP, or risk models
- Familiarity with big data and distributed computing (e.g., Spark, Hadoop)
- Experience with cloud ML platforms (AWS, Azure, or GCP)
- Knowledge of MLOps, CI/CD, model deployment, and monitoring
- Understanding of data architecture, governance, and security
- 5–10 years of experience in data science, machine learning, or advanced analytics in trading environments.
- Proven track record of deploying ML models into production.
- Experience delivering measurable business value from data and AI.
- Exposure to AI governance, model risk management, or regulated environments.
- Bachelor’s or Master’s degree in Data Science, Computer Science, AI, Statistics, Mathematics, or related field
- MBA or business education is a plus
- Saudi Arabia (HQ) with travel to global offices
- Competitive salary, bonus, long-term incentives, and benefits
Data Scientist (AI Specialist) - Relocate To Saudi Arabia employer: PE Global
Contact Detail:
PE Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (AI Specialist) - Relocate To Saudi Arabia
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science and AI fields, especially those who have experience in trading environments. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine-learning projects and any relevant analytics work. This is your chance to demonstrate how you've delivered measurable business value through AI solutions—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of AI governance. Be ready to discuss how you can integrate models into operational systems and drive adoption of AI solutions. Practice common interview questions related to data science and trading!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making the application process smooth and easy for you. Plus, it shows your genuine interest in joining our team and relocating to Saudi Arabia for this exciting opportunity.
We think you need these skills to ace Data Scientist (AI Specialist) - Relocate To Saudi Arabia
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist (AI Specialist) role. Highlight your experience with machine learning, AI strategies, and any relevant projects that showcase your skills in trading environments. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data science, and how your background aligns with our needs. Don’t forget to mention your willingness to relocate to Saudi Arabia – we love international talent!
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, especially in Python, machine learning frameworks, and any experience with trading platforms. We’re looking for someone who can hit the ground running, so let us know what you’ve got!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at PE Global
✨Know Your AI Stuff
Make sure you brush up on your machine learning and AI knowledge. Be ready to discuss specific algorithms, models you've built, and how they’ve added value in previous roles. This is a technical position, so showing off your expertise in Python, R, and relevant libraries like Pandas and Scikit-Learn will definitely impress.
✨Understand the Business Side
This role isn’t just about crunching numbers; it’s about delivering business value. Familiarise yourself with trading platforms and risk management concepts. Be prepared to explain how your data science solutions can enhance trading performance and operational efficiency, as this will show that you can bridge the gap between tech and business.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems or case studies related to AI in trading environments. Think through examples where you’ve identified high-value AI use cases or integrated models into production. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, be ready to discuss your experience in cross-functional collaboration. Highlight instances where you’ve partnered with stakeholders to drive AI initiatives or how you’ve communicated complex data insights to non-technical audiences. This will demonstrate your ability to work effectively within a team.
