Data Science Intern

Job Duties

• Entry level for professional work.
• Performs assignments designed to develop professional or technical work knowledge and abilities requiring application of standard techniques, procedures, and criteria in carrying out a sequence of related tasks.
• Limited exercise of judgment is required on details of work and in making preliminary selections and adaptations of alternatives.
• This classification is used for employees performing a designated function for an identified duration. 
• Applying generative AI techniques to support data extraction, ingestion, and harmonisation from diverse geological and relational data sources.
• Exploring frontier AI technologies and contributing to prototypes using approaches such as RAG or graph‑based retrieval systems.
• Develop robust Python pipelines for data manipulation using NLP and Foundation Models
• Apply geospatial libraries and techniques to subsurface geological datasets
• Implement secure coding practices and manage version control using Git
• Optimize database performance and spatial queries using PostgreSQL/PostGIS

Qualifications

• May include continuing education.
• Honors degree (2:1 or above) in data science or related field and and working towards a postgraduate degree

Role requirements

• Proficiency in Python, with a strong grasp of Python best practices
• Exposure with using Git for version control and collaboration
• Ability to use generative AI
• Ability to use of ML, NLP and Foundation Models in ETL pipelines
• Knowledge of secure coding principles
• Knowledge of PostgreSQL/PostGIS for spatial data management
• 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
• Exposure on working with large datasets, including data preprocessing
• Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly, strong teamwork and interpersonal skills, with a collaborative and agile mindset
• Self-motivated, detail-oriented, and capable of managing multiple tasks

Desirable Skills

• Knowledge of geological or subsurface data domains
• Abililty to develop AI models across domains such as natural language processing, computer vision, or predictive analytics