Senior AI Data Scientist

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 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 highly skilled and motivated Senior AI 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

• Collaborate with geoscientists and engineers to understand requirements and design effective solutions
• Develop robust Python pipelines for data manipulation
• 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 Postgre
  
  SQL/PostGIS
• Champion Python best practices across the team and support the development of junior team members

Required Qualifications

• Honors degree (2:1 or above) in data science/AI or related field.
• Minimum of 10 years related work experience.

Desirable Qualifications

• Postgraduate qualification in AI or related field

Essential Skills

• Proficiency in Python, with a strong adherence to Python best practices
• Experience using Git for version control and collaboration
• Knowledge of secure coding principles
• Expertise in geospatial libraries such as Geo Pandas, Shapely, and GDAL
• Advanced knowledge of Postgre
  
  SQL/PostGIS for spatial data management
• Experience with AWS and Azure platforms, including AI services (e.g., AWS Sage Maker, Azure ML)
• Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics
• Familiarity with machine learning frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, Num Py)
• Ability to design, train, and evaluate supervised and unsupervised learning algorithms
• Strong teamwork and interpersonal skills, with a collaborative and agile mindset
• Proven ability to work within agile development environments
• Self-motivated, detail-oriented, and capable of managing multiple tasks

Desirable Skills

• Knowledge of geological or subsurface data domains
• Experience with containerization tools such as Docker and Kubernetes
• Familiarity with CI/CD pipelines for automated deployment
• Understanding of data governance and compliance in scientific environments
• Experience with database virtualisation, including Decision Space 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: 204382
Experience Level: Entry-Level
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.