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- Tasks: Join our AI team to innovate and build next-gen AI systems for real-world impact.
- Company: Global leader in energy solutions, committed to employee growth and innovation.
- Benefits: Competitive pay, hands-on experience, and a chance to work with cutting-edge technology.
- Other info: Collaborative environment with opportunities for career advancement and learning.
- Why this job: Make a difference in industrial decision-making while developing your skills in AI.
- Qualifications: Pursuing a degree in Computer Science or related field with strong Python skills.
The predicted salary is between 20000 - 30000 £ per year.
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.
About the role: We are looking for curious, ambitious interns to join our AI Foundation team, working on next-generation AI systems that transform how subsurface knowledge is represented, accessed, and acted upon. You’ll work at the intersection of generative AI, knowledge graphs, spatial data and autonomous agents, helping us prototype and build intelligent systems that assist domain experts in extracting insight from complex, large-scale scientific data. This is hands-on, applied AI with real impact on industrial decision-making. You’ll be embedded within multidisciplinary teams of AI engineers, data scientists and subsurface experts, contributing directly to exploratory platforms that shape future products.
Job Duties What You’ll Work On Intern projects are scoped with your interests and background in mind, and may include:
- Building AI-ready subsurface knowledge representations
- Developing autonomous subsurface AI workflows
- Applying generative AI to real scientific data
- Prototyping frontier AI patterns
- Working with spatial and relational data at scale
Technical Environment You’ll gain practical experience with a modern applied AI stack, including primarily:
- Python for core development and experimentation
- Knowledge graphs and vector-enabled databases
- Relational and spatial data platforms
Exact tools and architectures evolve rapidly therefore value strong fundamentals and curiosity over narrow tooling experience.
Qualifications Currently pursuing (or recently completed) a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong Python programming skills and understanding of good software practices. Experience applying machine learning or generative AI techniques. Familiarity with working in collaborative codebases using version control. Comfort working with data pipelines, APIs, and structured data. Clear communication skills and a collaborative, learning-oriented mindset. Excellent communication, collaboration, and problem-solving skills, with a proactive, learning-oriented approach. Interest or experience in knowledge graphs, NLP, or agentic systems. Experience with cloud platforms or containerized environments. Curiosity about applying AI beyond toy problems, in complex real-world settings.
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.
Compensation Information: Compensation is competitive and commensurate with experience.
Abingdon_Computer Science/Data Science/Artificial Intelligence Intern employer: Halliburton Energy Services
Contact Detail:
Halliburton Energy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Abingdon_Computer Science/Data Science/Artificial Intelligence Intern
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve worked on projects related to AI, data science, or Python, create a portfolio showcasing your work. This gives you a chance to demonstrate your abilities beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss how you’d approach real-world problems in AI and data science.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Abingdon_Computer Science/Data Science/Artificial Intelligence Intern
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and data science shine through. We want to see that you're genuinely excited about the projects you'll be working on and how they can make a real impact.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant skills and experiences that align with the job description, especially your Python programming and any hands-on projects you've done in AI or data science.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Halliburton Energy Services
✨Know Your Stuff
Make sure you brush up on your Python skills and understand the basics of machine learning and generative AI. Be ready to discuss any projects you've worked on that relate to these areas, as they’ll want to see your practical experience.
✨Show Your Curiosity
This role is all about innovation and curiosity. Prepare some questions about the company’s AI projects or recent advancements in the field. Showing genuine interest will set you apart and demonstrate that you're eager to learn and contribute.
✨Collaborate Like a Pro
Since you'll be working in multidisciplinary teams, highlight your teamwork skills. Share examples of how you've successfully collaborated on projects, especially in coding environments using version control. This will show you can thrive in their collaborative culture.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex concepts in simple terms, as you may need to convey technical ideas to non-technical team members. Being able to articulate your thoughts clearly will make a great impression.