Data Scientist

Halliburton Energy Services; Abingdon; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading global energy provider in Abingdon is looking for a skilled Data Scientist to join their Subsurface team. This role involves developing robust data manipulation pipelines and applying geospatial techniques to geological challenges. The ideal candidate will have an honors degree in a relevant field, along with experience in Python, Git, and various data science tools. A collaborative mindset and excellent communication skills are essential for this position, where innovation meets the energy industry.

Qualifications

• Minimum of 2 years related work experience.
• Proficiency in Python, with knowledge of best practices.
• Familiarity with containerization and CI/CD pipelines.

Responsibilities

• Develop robust pipelines for data manipulation.
• Apply geospatial techniques to geological datasets.
• Optimize database performance and spatial queries.

Skills

Python

NLP

Machine Learning

Geospatial Libraries

Version Control with Git

PostgreSQL/PostGIS

Communication Skills

Education

Honors degree in data science or related field

Tools

AWS

Azure

Docker

Kubernetes

TensorFlow

Pandas

NumPy

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.

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

Job Details

Requisition Number: 204366

Experience Level: Experienced Hire

Job Family: Engineering/Science/Technology

Product Service Line: [division]

Full Time / Part Time: Full Time

Compensation Information

Compensation is competitive and commensurate with experience.

Job Segment

Cloud, Data Analyst, GIS, Database, Data Management, Technology, Data