AI Research Scientist Intern (12 months) - Starting Summer 2025

Your role will be to work with one or more research and data scientists helping to develop workflows and applications to solve problems towards our Energy Transition and efficiency goals. This will involve advanced data analysis, automated decision-making, and user interfacing. Depending on your personal interest and duration of the internship, you can also be assigned projects to research and implement algorithms for data analysis, AI/ML implementation or AI planning. Deliverables

• Gather requirements from domain users
• Propose solutions and develop data workflows that integrate with a variety of real-world business systems
• Create domain user applications to test and validate your workflows
• Present results of your workflows to domain users and stakeholders
  
  Bachelor Degree in computer science, AI or a related discipline
• Passionate interest in computer science, algorithms and data and understanding and solving domain challenges in collaboration with subject matter experts
• Highly independent and motivated to learn and acquire new technical skills
  
  About SLB:
We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all. At SLB, we recognize that our innovation, creativity, and success stem from our differences. We actively recruit people with a diverse range of backgrounds and cultivate a culture of inclusion that unlocks the benefits of our diversity. We want to ensure that everyone feels a sense of belonging here and we encourage, enable, and empower our people to foster inclusivity, build trust, and demonstrate respect for all across the organization. Global in outlook, local in practice - and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry.