Data Scientist Intern (12 months)

Job Title

Data Scientist Intern (12 months) - Starting Summer 2026

Project Title: Applying GenAI to a domain specific solution

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:

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.

Description & Scope

In this role, the intern will work on their own project to develop a GenAI solution for a specialist domain application enabling easy data analysis for users. You will have the opportunity to explore and try different data science techniques (developing your own skills in the process) and work with domain experts and senior data scientists to understand both the domain application as well as novel data science techniques.

Responsibilities

• Identifying, selecting and verifying suitable technology and Data Science techniques
• Using advanced data processing, analysing and interpreting methods along with Python, Rag/GPT, LLM
• Liaising/co-ordinating work with other disciplines
• Writing and presenting technical reports and scientific publication
  
  

Qualifications

• Studying a Masters in Computer Science or a related discipline
• Good knowledge of Python, Rag/GPT, LLM
• Strong analytical skills and ability to develop novel solutions to research and engineering problems
• Trustworthy, reliable with high integrity
• Team oriented with strong collaboration skills
• Excellent communication skills
• Preferred skills: Knowledge of time series data
  
  

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.