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- Tasks: Develop machine learning models and digital solutions for oil production optimisation.
- Company: Join Aramco, a leading global energy producer with a commitment to innovation and societal value.
- Benefits: Enjoy competitive remuneration, extensive training, and opportunities to work on world-scale projects.
- Why this job: Be part of a team tackling major global challenges in the energy sector while advancing your career.
- Qualifications: Bachelor's in Engineering; 10 years' experience in oil & gas, data science, and machine learning required.
- Other info: Work in a dynamic environment with a focus on talent development and cutting-edge technology.
The predicted salary is between 43200 - 72000 £ per year.
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 Petroleum Data Scientist to join the Production Technology Division. The Production Technology Division of EXPEC Advanced Research Center is responsible for developing novel technologies to achieve Saudi Aramco key upstream objectives by increasing reservoirs recovery and operational efficiency in areas related to Production Engineering, including productivity enhancement by developing chemicals, and improving well performance by developing tools.
Your primary role is to contribute in leading edge technology development by developing digital solutions, machine learning models, and data visualization tools under Artificial Lift Research & Development focus areas.
Key Responsibilities- Lead the design and development of Machine Learning models for oil production applications, such as: forecasting and optimization.
- Direct the deployment of digital oilfield solutions and integration initiatives.
- Architect data pipelines, analytics dashboards, and visualization tools.
- Collaborate cross-functionally with other departments to identify and prioritize optimization opportunities.
- Continuously monitor systems health and lead efforts to enhance performance.
- Remain up to date on latest advancements in oil & gas digitalization.
- Install and trial test new digital technologies developed in-house or through third-party service providers.
- Implement full-scale deployment of high-impact technologies.
- Bachelor Degree in Petroleum, Electrical, or Mechanical Engineering.
- An advanced degree in Data Science or related discipline is a plus.
- A minimum of 10 years of experience in the oil and gas industry, data science, and machine learning.
- Expertise in building production forecasting models and optimization algorithms is essential.
- Knowledge of using programming tools, such as: Python, SQL, cloud computing, app deployment, and petroleum engineering domain knowledge is also required.
- Strong communication, presentation, and storytelling abilities to translate data into insights.
- Leadership skills to drive development and adoption of new digital solutions in petroleum production.
- Knowledge in oil & gas industry and academia to generate practical solutions in upstream oil and gas production is preferred.
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.
Petroleum Data Scientist employer: Aramco Overseas Company UK Ltd
Contact Detail:
Aramco Overseas Company UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Petroleum Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and digital solutions specifically tailored for the oil and gas industry. This knowledge will not only help you understand the role better but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the petroleum and data science sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and technologies that could be relevant to your role at Aramco.
✨Tip Number 3
Showcase your leadership skills by discussing any past experiences where you've successfully led projects or teams. Highlighting your ability to drive development and adoption of new technologies will set you apart as a candidate who can contribute to Aramco's innovative environment.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data visualisation tools and analytics dashboards in previous roles. Being able to articulate how these tools have improved operational efficiency or decision-making will resonate well with the hiring team.
We think you need these skills to ace Petroleum Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Petroleum Data Scientist position. Familiarise yourself with key terms like machine learning models, data pipelines, and digital oilfield solutions.
Tailor Your CV: Customise your CV to highlight relevant experience in the oil and gas industry, particularly in data science and machine learning. Emphasise your expertise in programming tools such as Python and SQL, and any leadership roles you've held.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the energy sector and your understanding of Aramco's mission. Use specific examples from your past work to demonstrate how you can contribute to their goals in production technology.
Highlight Communication Skills: Since strong communication and storytelling abilities are essential for this role, ensure your application reflects these skills. Provide examples of how you've successfully translated complex data into actionable insights in previous positions.
How to prepare for a job interview at Aramco Overseas Company UK Ltd
✨Showcase Your Technical Skills
As a Petroleum Data Scientist, you'll need to demonstrate your expertise in machine learning and data science. Be prepared to discuss specific projects where you've developed forecasting models or optimisation algorithms, and highlight your proficiency in programming tools like Python and SQL.
✨Understand the Industry
Familiarise yourself with the latest advancements in oil and gas digitalisation. Research Aramco's role in the industry and be ready to discuss how your skills can contribute to their objectives, particularly in enhancing operational efficiency and reservoir recovery.
✨Prepare for Cross-Functional Collaboration
Collaboration is key in this role. Think of examples from your past experiences where you've worked with different departments to identify optimisation opportunities. Be ready to explain how you can facilitate communication and drive the adoption of new digital solutions.
✨Demonstrate Leadership Qualities
Aramco values leadership skills, especially in driving technology development. Prepare to share instances where you've led projects or initiatives, showcasing your ability to inspire and guide teams towards achieving common goals in a technical environment.
