At a Glance
- Tasks: Join our team to innovate with data science and AI in the energy sector.
- Company: Be part of a leading global provider in energy products and services.
- Benefits: Competitive pay, career development, and a supportive work environment.
- Other info: Dynamic internship with opportunities for growth and collaboration.
- Why this job: Make an impact by working on cutting-edge AI projects and technologies.
- Qualifications: Pursuing a degree in data science or related field with 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. 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 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 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.
- Ability 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
Compensation Information: Compensation is competitive and commensurate with experience.
Abingdon_Data Scientist Internship employer: Halliburton
At Halliburton, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and personal growth. Our Abingdon office provides a collaborative environment where interns can engage with cutting-edge technologies in data science while receiving mentorship and support to advance their careers. With competitive compensation and a commitment to diversity and inclusion, we empower our employees to thrive and make meaningful contributions to the global energy industry.
StudySmarter Expert Advice🤫
We think this is how you could land Abingdon_Data Scientist Internship
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, especially those in the data science field. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI, and data manipulation. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Tip Number 4
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 Halliburton.
We think you need these skills to ace Abingdon_Data Scientist Internship
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your proficiency in Python, Git, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can bring innovative ideas to our Subsurface teams. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any projects involving machine learning, NLP, or geospatial data, make sure to mention them. We’re keen to see your hands-on experience and how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Halliburton
✨Know Your Tech
Make sure you brush up on your Python skills and understand the best practices. Familiarise yourself with Git for version control, as you'll likely be asked about your experience with these tools during the interview.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving data manipulation or machine learning. Be ready to explain your thought process and the techniques you used, particularly if they relate to generative AI or NLP.
✨Understand the Company
Research Halliburton and their work in the energy industry. Knowing how data science fits into their operations will help you answer questions more effectively and show your genuine interest in the role.
✨Practice Communication
Since excellent communication skills are key, practice explaining complex ideas in simple terms. This will not only help you during the interview but also demonstrate your ability to work collaboratively within a team.
