Data Scientist

Halliburton; Abingdon; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading global energy services company is seeking an experienced Data Scientist to join their Subsurface team in Abingdon, England. The role involves applying advanced data science techniques to geological and geospatial challenges. Candidates must possess strong Python skills, knowledge of NLP and ML, and have a degree in data science or a related field. The position offers competitive compensation and opportunities for career growth within a dynamic team environment.

Qualifications

• Minimum of 2 years related work experience.
• Strong understanding of Python best practices.
• Familiarity with machine learning frameworks and data science tools.

Responsibilities

• Develop robust Python pipelines for data manipulation.
• Apply geospatial libraries and techniques to geological datasets.
• Work with cloud platforms to scale data workflows.

Skills

Python

NLP

Machine Learning

Git

PostgreSQL/PostGIS

Geospatial libraries

Cloud platforms (AWS and Azure)

Data Preprocessing

Communication Skills

Education

Honors degree in data science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

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.

Job Duties

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

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.