Description

TGS Data Science Internship – Wind AXIOM  

TGS provides scientific data and intelligence to companies active in the energy sector. In addition to a global, extensive, and diverse energy data library, TGS (https://www.tgs.com) offers specialized services such as advanced processing and analytics alongside cloud-based data applications and solutions. 

The Data Science team at TGS is seeking Interns for the summer of 2023 to work on their wind data platform for offshore wind development. Wind AXIOM (https://www.tgs.com/wind) hosts regional model output, in-situ buoy observations, global reanalysis, and market intelligence data on one platform. We are particularly interested in individuals who have experience with bias correcting regional climate model output, wind resource assessment data engineering, or running the Weather Research Forecast (WRF) model. Our interns have the opportunity to work on the cloud, develop new skills and build new data products. 

Are you interested in expanding your knowledge on data and insights that TGS provides for the offshore wind energy sector? Are you looking to work on real projects that are meaningful and impactful? Willing to participate in an internship that is equal parts learning, doing, and collaborating? Then a TGS Summer Internship is for you!

To apply: Send a resume and cover letter to katie.brennan@tgs.com by January 15, 2023.

Requirements

Requirements: 

• Current Master’s or Ph.D. student is required.
• We consider candidates from Applied Math, Atmospheric Sciences, Computer Science, Data Science, Engineering, Earth Science, and Statistics.
• Work at our office in Houston, TX

Qualifications: 

• Strong verbal and written communication skills.
• Excellent time management, organizational, communication, and team-building skills
• Passion for learning
• Independent worker who is interested in working in a collaborative team environment
• Demonstrate self-motivation with a drive for results
• Python, virtual environments, and PyData (Numpy, Pandas) ecosystem experience
• Experience with Jupyter, Xarray, Dask, and cloud computing a plus
• Experience with atmospheric modeling a plus
• Experience with software development and version control (Git) is a plus