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For Companies At a Glance
- Tasks: Join our team to tackle geological challenges using advanced data science techniques.
- Company: Be part of a leading global energy provider that values innovation and growth.
- Benefits: Enjoy competitive pay, career development, and a supportive work environment.
- Why this job: Make a real impact by unlocking insights from complex subsurface data.
- Qualifications: Honours degree in data science and 2 years of relevant experience required.
- Other info: Collaborative culture with opportunities for professional growth and learning.
The predicted salary is between 28800 - 48000 £ 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 seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data.
Key Responsibilities
- 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
- Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure
- Optimize database performance and spatial queries using PostgreSQL/PostGIS
Required Qualifications
- Honors degree (2:1 or above) in data science or related field.
- Minimum of 2 years related work experience
Essential Skills
- Proficiency in Python, with a strong grasp of Python best practices
- Experience using Git for version control and collaboration
- Experience in use of ML, NLP and Foundation Models in ETL pipelines
- Knowledge of secure coding principles
- Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL
- 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
- Experience 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
- Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics
- Experience with containerization tools such as Docker and Kubernetes
- Familiarity with CI/CD pipelines for automated deployment
- Experience with database virtualisation, including DecisionSpace integration server
- Experience with data analysis applications from the Neftex Predictions portfolio
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: 204366
- Experience Level: Experienced Hire
- Job Family: Engineering/Science/Technology
- Product Service Line: [[division]]
- Full Time / Part Time: Full Time
- Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Data Scientist in Abingdon employer: Halliburton
Contact Detail:
Halliburton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Abingdon
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python, ML, and geospatial techniques. This will help you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and algorithms. Practice common data science problems and be ready to discuss your thought process.
✨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.
We think you need these skills to ace Data Scientist in Abingdon
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science shine through! We want to see how you can innovate and grow in this role, so share your experiences and what excites you about working with complex subsurface data.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience with Python, Git, and any geospatial libraries you've used. We love seeing how your skills align with our needs, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for our team. Discuss your relevant experience and how you can contribute to our projects. Keep it concise but impactful – we want to know you and your motivations!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Halliburton
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and be ready to discuss your experience with ML, NLP, and Foundation Models. Prepare to explain how you've used these in past projects, especially in ETL pipelines.
✨Show Off Your Geospatial Knowledge
Familiarise yourself with geospatial libraries like GeoPandas and Shapely. Be prepared to talk about how you've applied these tools to geological datasets and any challenges you faced while doing so.
✨Demonstrate Your Team Spirit
Since teamwork is key, think of examples where you've collaborated effectively. Highlight your communication skills and how you've contributed to a positive team environment, especially in agile settings.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data science projects and their approach to innovation. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
