TGS · 1 month ago
Data Science (R&T) Intern
Houston, TX
Internship
Onsite
Intern
Start in 2026 SpringTGS provides scientific data and intelligence to companies active in the energy sector. The Data Science (R&T) Intern will work closely with the Data Science team to apply modern machine learning and data science techniques to seismic and well datasets, improving exploration workflows and decision-making in the energy sector.
HardwareInformation TechnologyOil and Gas
Responsibilities
Develop, implement, and evaluate machine learning models for seismic, well, and production datasets
Perform data cleaning, preprocessing, and quality control on large, heterogeneous datasets
Build and maintain reproducible data pipelines and scripts for feature engineering and labeling
Conduct literature reviews on state-of-the-art methods in machine learning, computer vision, and scientific AI relevant to geoscience
Prototype new ideas, compare against baselines, and help document findings in short technical notes or internal reports
Create clear, compelling visualizations (figures, dashboards, and plots) to communicate data insights and model performance
Prepare concise slide decks and contribute to internal presentations, workshops, or marketing materials showcasing project outcomes
Work in close collaboration with data scientists, geoscientists, and software engineers to understand problem requirements and constraints
Use standard engineering practices (version control, code reviews, documentation) to ensure code quality and reproducibility
Qualification
Required
Currently enrolled in a Bachelor's, Master's, or PhD program in Data Science, Computer Science, Electrical Engineering, Applied Mathematics, Geophysics, or a related field
Solid programming skills in Python and familiarity with core data science tools (e.g., Jupyter, Git, NumPy/pandas, scikit-learn)
Coursework or project experience in machine learning (supervised and/or unsupervised) and basic statistics
Ability to work independently on well-defined tasks and to manage time across multiple priorities
Strong written and verbal communication skills in English
Preferred
Experience with deep learning frameworks (PyTorch and/or TensorFlow) and GPU-accelerated training
Exposure to geoscience, subsurface data, or scientific computing (e.g., seismic data, well logs, numerical simulation, signal processing)
Familiarity with cloud computing environments (AWS, Azure, or GCP) and containerization tools (Docker) is a plus
Prior internship or research experience in applied machine learning or data science
Company
TGS
TGS provides energy companies with marine data acquisition services through industry-leading ocean bottom node (OBN) technology.
Founded in 2009
1001-5000 employees
H1B Sponsorship
TGS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (3)
2023 (5)
2022 (4)
Funding
Current Stage
Public CompanyTotal Funding
$837.72M2024-11-20Post Ipo Debt· $795M
2018-01-25Post Ipo Equity· $38.72M
2014-06-06IPO
Leadership Team
Kristian K. Johansen
CEO - Chief Executive Officer
Recent News
2026-01-16
GlobeNewswire
2026-01-09
Company data provided by crunchbase