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Halliburton
AI

Senior AI Data Scientist

Halliburton · Abingdon, ENG, GB · $204k

Actively hiring Posted 6 months ago

Role overview

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.

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 PostgreSQL/PostGIS
  • Champion Python best practices across the team and support the development of junior team members

Basic qualifications

  • Honors degree (2:1 or above) in data science/AI or related field.
  • Minimum of 10 years related work experience.
  • Postgraduate qualification in AI or related field
  • 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 GeoPandas, Shapely, and GDAL
  • Advanced knowledge of PostgreSQL/PostGIS for spatial data management
  • Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, 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., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy)
  • 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
  • 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 DecisionSpace integration server
  • Experience with data analysis applications from the Neftex Predictions portfolio

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