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- Tasks: Join our team to develop AI models and work with cutting-edge data science techniques.
- Company: Halliburton, a leader in innovative engineering and technology solutions.
- Benefits: Competitive pay, hands-on experience, and opportunities for professional growth.
- Why this job: Make an impact in the exciting field of data science while learning from industry experts.
- Qualifications: Pursuing a degree in data science or related field with Python proficiency.
- Other info: Dynamic internship with a focus on collaboration and real-world applications.
The predicted salary is between 20000 - 30000 £ per year.
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.
- 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.
- 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
Experience Level: Internship
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full Time
Compensation: Compensation is competitive and commensurate with experience.
Abingdon_Data Scientist Internship employer: Halliburton Energy Services
Contact Detail:
Halliburton Energy Services Recruiting Team
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 might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, ML, or AI. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and coding challenges. Practise explaining your thought process clearly, as communication is key in this role.
✨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 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 is tailored to the Data Science role. Highlight your Python skills, experience with Git, and any projects involving AI or machine learning. We want to see how your background fits with what we're looking for!
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 contribute to our team. Be sure to mention any relevant coursework or projects that align with the job description.
Showcase Your Projects: If you've worked on any data science projects, especially those using NLP or geospatial techniques, make sure to include them in your application. We love seeing practical examples of your skills in action!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining the StudySmarter team!
How to prepare for a job interview at Halliburton Energy Services
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss best practices and maybe even solve a coding challenge on the spot. Familiarity with libraries like Pandas and NumPy will definitely give you an edge!
✨Show Off Your AI Knowledge
Since the role involves generative AI, be prepared to talk about your experience with AI techniques and frameworks. Bring examples of projects where you've applied ML or NLP, and don't hesitate to share your thoughts on emerging technologies in this space.
✨Get Comfortable with Git
Version control is key in collaborative environments. Make sure you can explain how you've used Git in past projects. If you can demonstrate your understanding of branching and merging, that’ll show you’re ready for teamwork!
✨Communicate Clearly and Confidently
This role requires excellent communication skills, so practice explaining complex ideas in simple terms. Think about how you would describe your projects to someone without a technical background. Clear communication can set you apart from other candidates!