Data Scientist Summer Intern (8-12 weeks)Location:About Us:We are a global technology company, driving energy innovation for a balanced planet. At SLB we create new technology that unlocks access to energy for the benefit of all. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. 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.With more than 98,000 employees in over 120 countries have already started their SLB journeys. Start yours now!If you would like to know more, please visit our website at https://www.slb.com/Job Summary:The Data Scientist Summer Intern supports the team in exploring data, assisting with open-ended problems, and contributing to ongoing data-driven projects. The intern gains hands‐on experience in machine learning, data analysis, and industrial applications while working closely with experienced engineers and data scientists.Essential Responsibilities and Duties:
Support research on machinery diagnostics, prognostics, and data-driven modeling under guidance of senior team members.Assist in implementing and testing basic machine learning models and optimization methods.Perform data preprocessing, cleaning, and exploratory data analysis on large multivariate datasets.Contribute to ongoing technical projects by preparing datasets, running experiments, and documenting results.Apply fundamental statistical and analytical techniques to solve defined problems.Support development of data-driven solutions for machine learning based predictions.Collaborate with engineers and team members to understand system behavior and relevant data.Prepare clear and concise reports, visualizations, and presentations of findings.Stay up to date with basic concepts in machine learning and data science through guided learning.Participate in team meetings, technical discussions, and knowledge-sharing session.
Qualifications:
Studying towards a Bachelors or Masters in Computer Science, data science, mathematics or related field.Good knowledge of Data Science, Artificial Intelligence, machine learning algorithms and optimization methodsFamiliarity with data analysis, data processing, and algorithms developmentBasic knowledge of Generative AI and, optionally, of agentic AI systemsStrong analytical, problem-solving, and computational skillsGood communication and teamwork abilitiesMotivation to learn and grow in data science and industrial applications
BlueFlex:We are open to flexible, hybrid working with a combination of on-site & at-home working days.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.#J-18808-Ljbffr