At a Glance
- Tasks: Drive advanced analytics to solve complex challenges and optimise processes in the energy sector.
- Company: Join Aramco, a global leader in energy production and innovation.
- Benefits: Competitive salary, extensive training, and opportunities for career growth.
- Other info: Relocate to Saudi Arabia for an exciting, dynamic work environment.
- Why this job: Make a real impact on sustainability and safety in the energy industry.
- Qualifications: Bachelor's degree in Data Science or related field; 20 years of experience preferred.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist (O&G) - Relocate to Saudi Arabia
Location: Aramco, Greater London, England, United Kingdom
Note: This role is based in Saudi Arabia on a permanent, residential basis.
DescriptionAramco 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 seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department. Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.
Duties and ResponsibilitiesAs a successful candidate you will be required to perform the following:
- Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
- Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
- Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
- Explore diverse data sources to improve predictive modeling and optimize business strategies.
- Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
- Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
- Generate documentation in line with established standards to support the development and deployment process.
- Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
- Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
- Publish research papers for peer‑reviewed journals and present findings to other organizations and conferences to advance industry knowledge.
- Promote a learning environment through knowledge-sharing, and foster a culture of continuous learning and innovation.
- Provide leadership and mentorship to junior team members and specialists.
- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
- 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
- Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
- Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
- Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
- Expertise in visualization tools and packages; User Interface (UI) experience with Power BI or similar tools.
- Experience with IT architecture and deploying models in on-prem environments.
- Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
- Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.
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 world-scale projects, supported by investment in capital and technology that is second to none. We invest heavily in talent development and have a long-standing history of educating and training our workforce through extensive workforce development programs.
Country/RegionSA
Seniority level- Mid-Senior level
- Full-time
- Information Technology, Research, and Analyst
- Industries: Oil and Gas
Senior Data Scientist (O&G) - Relocate to Saudi Arabia in London employer: Aramco
Aramco is an exceptional employer, offering a unique opportunity to work in the heart of the global energy industry while residing in Saudi Arabia. With a strong commitment to employee development, our culture fosters innovation and collaboration, providing extensive training programs and opportunities for professional growth. Join us to be part of world-scale projects that not only drive economic benefits but also contribute to environmental sustainability and societal advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (O&G) - Relocate to Saudi Arabia in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or at conferences. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your projects. We all know that confidence is key, so get comfortable talking about your experience!
✨Tip Number 3
Showcase your skills with a portfolio. Whether it's GitHub for coding or a presentation of your data projects, let your work speak for itself. We love seeing what you can do!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to make an impact in the energy sector.
We think you need these skills to ace Senior Data Scientist (O&G) - Relocate to Saudi Arabia in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in data science, MLOps, and any relevant projects that showcase your skills in AI and ML. We want to see how your background aligns with 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 the role and how your expertise can contribute to our mission at Aramco. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any notable projects, especially those involving predictive modelling or data analytics, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back on the details!
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 Aramco!
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 in areas like Machine Learning, Natural Language Processing, and Computer Vision. Be ready to discuss specific projects you've worked on and how you tackled challenges using these techniques.
✨Showcase Your MLOps Knowledge
Since this role involves MLOps and DevOps practices, be prepared to explain your experience with model deployment, monitoring, and automation. Discuss any tools you've used, like Docker or Kubernetes, and how they helped streamline your processes.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your expertise. Practice explaining complex concepts in simple terms, as you'll need to collaborate with cross-functional teams. Use examples from your past work to illustrate your points.
✨Demonstrate Leadership and Mentorship Skills
This position requires providing leadership and mentorship to junior team members. Think of examples where you've guided others or contributed to a learning environment. Highlight your ability to foster collaboration and innovation within a team.
