We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry. We are looking to recruit a Data Science intern to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Job Duties Entry level for professional work. Performs assignments designed to develop professional or technical work knowledge and abilities requiring application of standard techniques, procedures, and criteria in carrying out a sequence of related tasks. Limited exercise of judgment is required on details of work and in making preliminary selections and adaptations of alternatives. This classification is used for employees performing a designated function for an identified duration. Applying generative AI techniques to support data extraction, ingestion, and harmonisation from diverse geological and relational data sources. Exploring frontier AI technologies and contributing to prototypes using approaches such as RAG or graph‑based retrieval systems. Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Optimize database performance and spatial queries using PostgreSQL/PostGIS Qualifications May include continuing education. Honors degree (2:1 or above) in data science or related field and and working towards a postgraduate degree Role requirements Proficiency in Python, with a strong grasp of Python best practices Exposure with using Git for version control and collaboration Ability to use generative AI Ability to use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Exposure on working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly, strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple tasks Desirable Skills Knowledge of geological or subsurface data domains Abililty to develop AI models across domains such as natural language processing, computer vision, or predictive analytics Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation . Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 208129 Experience Level: Internship Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.