Job Title:

Product Analyst - Structural and Reservoir Modeling

Project Title: Geological modelling and integrated uncertainty analysis

About SLB:

We are a global technology company, driving energy innovation for a balanced planet.

At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that has been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer.

Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.

Our purpose: Together, we create amazing technology that unlocks access to energy for the benefit of all. You can find out more about us on https://www.slb.com/who-we-are

Location:

Abingdon, UK

SLB Abingdon Technology Centre (AbTC) is part of SLB's global network of research and engineering centres. AbTC is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on the development of commercial software applications in the physical sciences to meet the current and future challenges of the energy industry.

Description & Scope:

We are looking for highly skilled and innovative scientists to intern with our Structural and Reservoir Modeling team as a Product Analyst. In this role, you will play a pivotal part in shaping the future of geological modeling technologies for the global energy industry. Your work will influence the development and deployment of domain features within our Petrel and Delfi platforms, industry-leading solutions trusted worldwide.

The project will build and leverage your skills in the fields of structural geology, gridding, reservoir geology and geostatistics to propose solutions to real industry challenges. This is an opportunity to make a visible impact at scale, advancing SLB's leadership in digital subsurface solutions. Drive next-generation algorithms, cutting-edge modeling methodologies, and integrated workflows that accelerate decision-making for our customers.

Are you passionate about solving complex modeling challenges that shape the future of energy? As an intern, you will research, design, prototype, and collaborate with SLB teams to bring ideas to life in our software applications. This role offers hands-on experience with cutting-edge technology and the chance to build expertise that drives real-world impact.

Responsibilities:

• Leverage your domain experience to engage with internal and customer, petrotechnical expert communities.
• Explore and research product requirements, ensuring alignment with market trends and client workflows.
• Collaborate with cross-functional teams to protype and deliver innovative solutions that enhance modeling accuracy, efficiency, and usability.
• Share the outcomes of your work through industry conferences, technical forums, and/or internal events, showcasing both product capabilities and your technical expertise.
• Develop insights on emerging technologies such as AI/ML, uncertainty modeling, and HPC-enabled workflows.

Qualifications:

• Studying or completed Masters in geoscience, geostatistics, applied mathematics, or related field.
• Foundational expertise in reservoir modeling, structural geology, and geostatistics.
• Excellent communication skills and ability to engage with both technical and business stakeholders.
• Experience in data science, AI/ML applications, and/or uncertainty quantification.
• Previous experience with geological modeling software.

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.