Data Scientist Intern (12 months)

Schlumberger Limited; Cambridge; On-site; GBP 20,000 - 28,000; Full time

Job summary

Schlumberger Limited in Cambridge, UK, is offering a Data Scientist Intern role for 12 months starting Summer 2027. You will contribute to developing an engineering database that supports drilling performance analysis and technology development.

You will integrate new data sources, improve data quality, and transform raw field data into actionable insights while collaborating with researchers and engineers to drive practical outcomes.

Qualifications

• Pursuing a degree in engineering, computer science, data science, mathematics or physics.
• 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 visualization and statistical analysis.
• Familiarity with engineering or scientific datasets.
• Experience with machine learning or numerical modelling.

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.
• Improve database quality, data consistency, and usability.
• Communicate findings through technical reports and presentations.

Skills

Python

MATLAB

Data analysis

Data visualization

Machine learning

Education

Bachelors in Engineering

Related field (CS/Data Science)

Tools

SQL

Git

Job description

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 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,multidisciplinaryenvironment 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 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.
• 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.

We believe your best work comes from feeling supported, empowered, and connected – wherever you are in your journey. We’re committed to providing you with the resources and culture to help you belong, advance, and succeed.

Culture and Values

For more than 100 years, we've been at the forefront of energy innovation; solving problems considered impossible while building a safe and inclusive culture.

We support our people where and when they want to grow by making continuous learning a key priority.

Get an inside look at how we attract, evaluate, and hire exceptional people globally.

Find quick answers to common questions about roles, teams, and the application process.

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.

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.

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.

We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete this form or to participate in the interview process, please contact [e-mail] to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested.