Data Scientist Intern (12 months)

SLB; Cambridge; On-site; GBP 17,000 - 23,000; Full time

Job summary

SLB is seeking a Data Scientist Intern for a 12-month program starting Summer 2027 in Cambridge, UK. The role focuses on developing an engineering database to support drilling performance analysis and technology development.

You will work with real-world engineering datasets, collaborate with researchers and engineers, and transform raw field data into actionable insights while enhancing data quality and accessibility.

Qualifications

• Pursuing a Bachelor's degree in a related field such as Engineering, CS, Data Science, Mathematics or Physics.
• Strong analytical and problem-solving abilities with a data-driven mindset.
• Experience with data analysis and understanding of databases.
• Familiarity with machine learning or numerical modelling is a plus.

Responsibilities

• Analyse drilling performance data and identify factors affecting low-performing runs.
• Integrate new datasets into the engineering database to improve accessibility.
• Support data processing activities for engineering and modelling applications.

Skills

Analytical thinking

Problem solving

Data-driven mindset

Communication skills

Education

Bachelor's in Engineering, Computer Science, Data Science, Mathematics, Physics or related

Tools

Python

MATLAB

SQL

Pandas

Job description

Job Title

Data Scientist Intern (12 months) - Starting Summer 2027

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 decarbonising 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

Description & Scope

In this internship, the student will contribute to the development of an engineering database that supports drilling performance analysis and technology development. The project will involve integrating new data sources, improving data quality, and analysing performance data to identify trends and opportunities for improvement. The successful candidate will work with real-world engineering datasets and collaborate with researchers and engineers to help transform raw field data into actionable insights.

Responsibilities

• Analyse drilling performance data and investigate factors contributing to low-performing runs.
• Integrate new datasets into the engineering database and improve data accessibility.
• Support data processing activities for engineering and modelling applications.

Deliverables

• Improved database quality, data consistency, and usability.
• Communicating findings through technical reports and presentations.

Learning Outcomes

• Experience working with large real-world engineering datasets.
• Practical skills in data analysis, data management, and database development.
• Exposure to engineering research and technology development processes.
• Enhanced problem-solving, programming, and technical communication skills.

Requirements

• Studying Bachelors in Engineering, Computer Science, Data Science, Mathematics, Physics or a related discipline
• Experience with Python, MATLAB, or similar programming languages.
• Strong analytical and problem-solving skills.
• Experience working with data and performing data analysis.
• Knowledge of databases and data management.
• Experience with data visualisation and statistical analysis.
• Familiarity with engineering or scientific datasets.
• Experience with machine learning or numerical modelling.

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.