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For Companies At a Glance
- Tasks: Join our team to innovate with data science and AI in the energy sector.
- Company: Global leader in energy products and services, committed to employee growth.
- Benefits: Gain hands-on experience, mentorship, and a chance to work with cutting-edge technologies.
- Other info: Collaborative culture with opportunities for career advancement.
- Why this job: Make an impact by applying your skills in a dynamic and supportive environment.
- Qualifications: Pursuing a degree in data science or related field; Python proficiency required.
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.
Abingdon_Data Scientist Internship employer: Halliburton
Contact Detail:
Halliburton 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 just lead to 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
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
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 Scientist 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 relevant projects, whether in school or on your own, make sure to include them. We love seeing practical applications of your skills, especially if they involve Python, NLP, or geospatial data!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
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 it. Being able to discuss how you've used these tools in past projects will show your practical knowledge.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving data manipulation or machine learning. If you've applied generative AI techniques or worked with large datasets, make sure to highlight these experiences. Real-world examples can really impress!
✨Understand the Domain
Since this role involves subsurface geological data, having a basic understanding of geological concepts can set you apart. Do a bit of research on how data science is applied in the energy industry and be ready to discuss how your skills can contribute to their goals.
✨Communicate Clearly
Strong communication skills are key, so practice explaining complex ideas in simple terms. Be prepared to demonstrate your teamwork abilities and how you collaborate with others. This will show that you're not just technically skilled but also a great fit for their team culture.