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- Tasks: Automate processes, develop AI tools, and enhance data visualisation for strategic decisions.
- Company: Leading global energy company focused on digitalisation and analytics.
- Benefits: Challenging work environment with strong investment in employee development and technology.
- Why this job: Join a dynamic team and make a real impact in the energy sector.
- Qualifications: Bachelor's degree in Computer Science or Mathematics and 5 years of experience.
The predicted salary is between 36000 - 60000 £ per year.
A leading global energy company seeks a Data Scientist to join their Digitalization & Analytics Group in Saudi Arabia. This role involves automating business processes, developing AI tools, and enhancing data visualization to aid strategic decision-making.
Candidates should possess a Bachelor's degree in Computer Science, Mathematics, or related fields and have a minimum of 5 years experience.
The position offers a challenging work environment with significant investment in employee development and technology.
AI Data Scientist - Visualize, Model & Automate Energy Data in London employer: Aramco
Contact Detail:
Aramco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist - Visualize, Model & Automate Energy Data in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI tools and data visualisation projects. This is your chance to demonstrate what you can bring to the table, so make it shine!
✨Tip Number 3
Prepare for the interview by researching the company’s recent projects and challenges in the energy sector. We want you to walk in with insights that show you’re not just another candidate, but someone who’s genuinely interested in their mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals ready to make an impact in the energy field.
We think you need these skills to ace AI Data Scientist - Visualize, Model & Automate Energy Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, data visualisation, and automation. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the energy sector and how your background makes you the perfect fit for our Digitalization & Analytics Group.
Showcase Your Projects: If you've worked on any projects related to data science or AI, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to automate processes and enhance decision-making.
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 Aramco
✨Know Your Data
Make sure you brush up on your knowledge of data visualisation techniques and AI tools. Be ready to discuss specific projects where you've automated processes or enhanced decision-making through data. This will show that you understand the core responsibilities of the role.
✨Showcase Your Experience
With a minimum of 5 years in the field, you should have plenty of examples to draw from. Prepare to share detailed stories about your past work, especially those that highlight your problem-solving skills and how you've contributed to strategic decisions using data.
✨Understand the Company’s Vision
Research the energy company’s goals and recent projects. Understanding their digitalisation strategy will help you align your answers with their objectives, demonstrating that you're not just a fit for the role but also for the company culture.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the role and the company. Inquire about their current challenges in data automation or how they envision the future of AI in their operations. This shows that you're engaged and thinking critically about the position.
