Machine Learning Geoscientist Internship

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 coding and machine learning techniques to support development of tools for geological assessments
• Automation and expediating of workflows 
• Delivering technical presentations to colleagues
• Ensuring standards and quality  

   

Qualifications

• May include continuing education.
• An honours degree (2:1+) in Geoscience and working towards a postgraduate degree preferbaly MSc level in Geology or Data Science

Role Requirements

• Proficient in Python
• Knowledge in relational databases (MSSQL/Postgres) including spatial relationships (Postgis plug-in)
• Ability with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Data analytical skills and knowledge of databases
• A professional attitude and a willingness to learn
• Comfortable working within a team and contributing to the geoscience and technological discussions within the company 

Desirable skills: 

• Strong communication skills 
• Knowledge about geospatial data and techniques and of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy)
• Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology