Senior AI Data Scientist

• 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
• 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