[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) SLB · Cambridge # Data Scientist Intern (12 months) Cambridge Early career Data & Analytics Listed on SLB’s official careers site. Listed as of November 1, 2026. Check that it is still open and apply there. [Apply on SLB’s careers site →](https://careers.slb.com/jobdescription.aspx?id=87517) [OpenNash Jobs](https://jobs.opennash.com/) / [SLB](https://jobs.opennash.com/companies/slb/) / Data Scientist Intern (12 months) ## 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 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](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 ​Real-world systems from industrial processes to environmental monitoring are never fully observed. Sensors fail, data arrives late, and no single measurement tells the whole story. This project explores how to intelligently combine heterogeneous, incomplete data streams while rigorously quantifying what we do not know. Using probabilistic machine learning, Bayesian inference, and uncertainty-aware neural architectures, you will build models that are honest about their own confidence producing not just predictions, but trustworthy estimates with calibrated uncertainty bounds. ### The result smarter, more reliable AI for complex systems where measurement is imperfect and decisions are high-stakes.​ Responsibilities: ​Develop methods to fuse incomplete sensor data and handle uncertainty. Build ML models that deliver both predictions and confidence levels. Gain hands-on experience with data fusion, uncertainty quantification, and applied AI.​ Requirements: Studying ​​Bachelors​ in ​​​Bachelors​ in ​Data Science, ML, AI​ or a related discipline ​​ Python Data analysis Machine learning​ 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. #LI-CL4 Apply Now Share ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 25, 2026 - Last checked: Nov 1, 2026 - Listed for: 7 days - Location: Cambridge[Apply on SLB’s careers site →](https://careers.slb.com/jobdescription.aspx?id=87517) ## Hiring at SLB - Open jobs: 1,144 - New in the last 7 days: After two weekly collections - Tracked since: Aug 21, 2026 [All SLB jobs](https://jobs.opennash.com/companies/slb/) · [Weekly hiring report](/reports/hiring/) ## More jobs at SLB ### [AI Engineer Intern (6 months)](https://jobs.opennash.com/companies/slb/jobs/4f90e5f1f9d6499e48c0/) Cambridge ### [Chemical Engineer Intern (12 months)](https://jobs.opennash.com/companies/slb/jobs/d8d134a781c6af106629/) Cambridge ### [Chemistry Research Intern (12 months)](https://jobs.opennash.com/companies/slb/jobs/1e2a5d7b45d137fcef36/) Cambridge ### [Geothermal Research Intern (12 months)](https://jobs.opennash.com/companies/slb/jobs/2242433202091b4d9ac0/) Cambridge ## Similar jobs at other companies ### [FY27 IT Engineer Data Protection Intern - 8 months](https://jobs.opennash.com/companies/qualcomm/jobs/66eb9c9cc7d912104725/) Qualcomm · Cork, Ireland ### [Data Scientist (12-months) M/F](https://jobs.opennash.com/companies/credit-agricole/jobs/7a0304422c023b599b18/) Credit Agricole ### [Data Scientist](https://jobs.opennash.com/companies/grasim-industries/jobs/a319a052d10205fb088f/) Grasim Industries · Maharashtra ### [Data Scientist](https://jobs.opennash.com/companies/siemens/jobs/e2267a8bfe2ac1344f96/) Siemens OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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