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
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Data Science