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- Tasks: Leverage AI to enhance data insights and automate business processes.
- Company: Join Aramco, a global leader in energy with a commitment to innovation.
- Benefits: Competitive salary, extensive training, and opportunities for career growth.
- Why this job: Make a real impact on global energy solutions while advancing your career.
- Qualifications: Bachelor's degree in relevant field and 5 years of experience required.
- Other info: Work in a dynamic environment with world-scale projects and cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
Please note that this role is based in Saudi Arabia on a permanent, residential basis.
Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world's largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
We are seeking a Data Scientist to join our Technol Oversight Coord Business Support Division – Digitalization & Analytics Group. The Digitalization & Analytics Group is responsible for driving business excellence by leveraging data-driven insights to optimize operations and inform strategic decision-making. As a key function within the organization, the Digitalization & Analytics Group is dedicated to advancing digitalization, seeking to enhance overall performance by digitalizing, automating and connecting various business processes, leveraging advanced technologies, and integrating AI capabilities to uncover new insights.
Your primary role is to leverage your expertise to enhance data visualization and interpretation, ensuring stakeholders and decision-makers have access to critical insights. Additionally, you will employ AI modeling and integration techniques to extract meaningful patterns and predictions from vast datasets, empowering informed decision-making and driving organizational success.
Key Responsibilities- Automate and digitalize the organization's business processes
- Develop and deploy AI-powered tools capable of understanding natural language queries related to the business data
- Create Dashboards (i.e. Data Visualization) using multiple platforms available in the market
- Provide support in maintenance, customization and integration of existing dashboards, digital solutions and websites with Corporate Solutions.
- Perform business analytical prediction modeling using existing data to support in decision making.
- Collaborate with stakeholders to develop data-driven business cases to support strategic initiatives, investments, and resource allocation decisions.
You will hold a Bachelor's degree in Computer Science, Mathematics, Computing, Data Science or AI. You will have a minimum of 5 years' experience in a related field.
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.
AI Data Scientist - Relocate To Saudi Arabia in London employer: Aramco
Contact Detail:
Aramco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist - Relocate To Saudi Arabia in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science fields, especially those who have experience in Saudi Arabia. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and data science. Practice common interview questions and scenarios that relate to the role at Aramco, so you can showcase your expertise confidently.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. We recommend applying through our website for the best chance of getting noticed. Tailor your approach to highlight how your skills can contribute to their mission.
✨Tip Number 4
Follow up after interviews! A simple thank-you email can go a long way in keeping you top of mind. Use this opportunity to reiterate your enthusiasm for the role and how you can add value to their team.
We think you need these skills to ace AI Data Scientist - Relocate To Saudi Arabia in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Scientist role. Highlight your experience in data visualization, AI modeling, and any relevant projects that showcase your skills. 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 this role and how your background aligns with our mission at Aramco. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical skills! Whether it's programming languages, data analysis tools, or AI technologies, make sure we know what you bring to the table. We’re looking for someone who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Aramco
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around AI modelling and data visualisation. Be ready to discuss specific projects you've worked on, the tools you used, and the impact of your work. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Understand Aramco's Vision
Familiarise yourself with Aramco's role in the global energy market and their commitment to digitalisation and analytics. Knowing how your skills can contribute to their goals will help you stand out. Think about how you can leverage AI to enhance their operations and be prepared to share your ideas.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and knowledge of data science tools. Practice coding challenges or case studies related to data analysis and AI. Being able to think on your feet and demonstrate your analytical skills will impress the interviewers.
✨Showcase Your Collaboration Skills
Since the role involves working with various stakeholders, be ready to discuss your experience in collaborative projects. Highlight how you've communicated complex data insights to non-technical audiences and how you’ve worked with teams to drive data-driven decisions. This will show that you can bridge the gap between data science and business needs.
