TGS | Energy Data & Intelligence is hiring a contract Geoscientist to support the development and delivery of a new subsurface data product. In this role, you will focus on generating, testing, and delivering derived datasets from well-log data, ensuring outputs are geologically sound and meet internal quality standards. You will combine geoscience interpretation skills with data handling and analytical capabilities.

What You'll Do

Generate derived datasets and attributes from well log data using internal workflows and tools
Perform quality control and testing to ensure outputs are geologically reasonable and technically sound
Assist with log cleanup and preprocessing to prepare datasets for analysis
Validate outputs using geologic interpretation and petrophysical principles
Support data delivery to internal teams and stakeholders
Document workflows, assumptions, and results to ensure reproducibility
Provide feedback to improve internal workflows and data quality

What We're Looking For

A Bachelor’s Degree in Geology, Geophysics, Petrophysics, or a related geoscience field
Experience with well log analysis and interpretation
Understanding of basic petrophysical concepts like lithology, porosity, and saturation indicators
Familiarity with geologic interpretation workflows using seismic and/or well data
Experience handling subsurface datasets and performing basic data analysis
Experience with log preprocessing or log cleanup
Experience with at least one subsurface interpretation software package (Kingdom preferred)
Familiarity with GIS concepts
Experience working with large well log datasets
Strong attention to detail and ability to perform data quality control
Proven ability to work effectively in teams in a multi-disciplinary environment
Excellent communication, interpersonal and time management skills

Nice to Have

Experience with exploration & development geoscience workflows, including regional and local scale mapping, basic unconventional field planning, and reservoir characterization
Familiarity with Python, R, or other data science tools
Exposure to machine learning or statistical analysis