Location: Abingdon, OXF, GB, OX14 4RW 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 PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Requirements 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 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 Desirable Skills Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker and Kubernetes