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: Competitive salary, career development opportunities, and a supportive work environment.
- Other info: Collaborative culture with opportunities for professional growth and learning.
- Why this job: Make a real impact by unlocking insights from complex subsurface data.
- Qualifications: Honours degree in data science and proficiency in Python required.
The predicted salary is between 36000 - 60000 £ 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
- 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
- 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
Equal Opportunity Statement
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.
Data Scientist in Abingdon employer: Halliburton Energy Services
At Halliburton, we pride ourselves on being an exceptional employer, dedicated to fostering a culture of innovation and growth. Our Abingdon office offers a collaborative environment where Data Scientists can thrive, with access to cutting-edge technology and opportunities for professional development in the dynamic energy sector. We believe in empowering our employees, providing competitive compensation, and ensuring a diverse and inclusive workplace that values every individual's contribution.
Contact Details:
Halliburton Energy Services Recruitment 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 attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, ML, and geospatial data. We love seeing real-world applications of your expertise, so make sure to highlight your best work.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and common data science questions. We recommend practicing coding challenges and discussing your past experiences with data manipulation and analysis to impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to innovate and grow with us in the energy sector.
We think you need these skills to ace Data Scientist in Abingdon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, Git, and any geospatial libraries you've used. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've applied data science techniques, especially in geological or geospatial contexts. This helps us understand your hands-on experience and how you tackle real-world challenges.
Craft a Compelling Cover Letter:Your cover letter should reflect your passion for data science and how you can contribute to our team. Share why you're excited about this opportunity and how your background aligns with our goals at StudySmarter.
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’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Halliburton Energy Services
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and be ready to discuss your experience with NLP, ML, and geospatial libraries. Prepare examples of how you've applied these techniques in real-world scenarios, especially in relation to subsurface data.
✨Show Off Your Collaboration Skills
Since teamwork is key in this role, think of instances where you've successfully collaborated with others. Be prepared to share how you’ve used Git for version control and how you’ve contributed to team projects, highlighting your communication skills.
✨Get Familiar with the Tools
Before the interview, ensure you're comfortable discussing tools like AWS, Azure, PostgreSQL/PostGIS, and containerization tools like Docker. You might be asked about your experience with these technologies, so having specific examples ready will help you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data science and how they tackle geological challenges. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
