Ad Terra is a Swiss-based geoscience & engineering consulting firm and renewable energy operator striving to unlock Earth’s boundless energy potential responsibly.
Tasks:
- Data Collection and Cleaning: support gathering, cleaning, and preprocessing data from various sources to ensure data quality and integrity, with a focus on oil and gas subsurface data.
- Exploratory Data Analysis (EDA): perform exploratory data analysis to identify patterns, trends, and insights.
- Model Development: support the development and implementation of machine learning models and algorithms, gaining hands-on experience in the process.
- Data Visualization: create visualizations and dashboards to effectively communicate findings and insights.
- Collaboration: work closely with data scientists, analysts, and other team members to support ongoing projects and initiatives, learning from experienced professionals.
- Documentation: document methodologies, processes, and findings to ensure reproducibility and knowledge sharing.
- AI Initiatives: participate in Artificial Intelligence initiatives to perform log digitization and develop automated petrophysical workflows.
- Support: collaborate with and support senior geoscientists and petroleum engineers as necessary, while developing your skills and knowledge in the field.
Qualifications:
- Currently pursuing a Bachelor’s degree in Geology or Petroleum Engineering, with an appetite for data analysis.
- Basic understanding of geological principles and field methods.
- Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
- Technical Skills:
- Proficiency in programming languages such as Python or R.
- Familiarity with data analysis libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic understanding of machine learning concepts and algorithms.
- Analytical Skills: strong analytical and problem-solving skills with attention to detail.
- Communication: excellent verbal and written communication skills.
- Team Player: ability to work collaboratively in a team environment.
Benefits:
- Gain hands-on experience working on real-world data science subsurface projects.
- Receive guidance and mentorship from experienced data scientists and industry professionals.
- Contribute to real-world projects.
- Networking within the industry.
- Potential for future employment opportunities.
We look forward to reviewing your application! To apply, please submit your CV and a cover letter outlining your relevant experience to the form below.