Data Science Intern (3-6 Months) - Automation of seismic inversion and reservoir characterization

Milan - Italy

Job title:

Data Science Intern (3-6 Months) - Automation of seismic inversion and reservoir characterization

Location:

San Donato Milanese, Milan (hybrid)

About Schlumberger:

We are Schlumberger, the leading provider of technology and services to the energy industry. Operating in over 120 countries, our people provide leading digital solutions and deploy ground-breaking technologies to unlock cleaner, safer access to energy for every community—including those we live and work in. We’re looking for innovators to join our diverse community of colleagues and develop new solutions and push the limits of what’s possible. If you share our passion for discovery and want to find out what you could really do, then here is the place to do it.

Job Summary:

The internship is aimed at exploring different machine learning (ML) techniques that can supplement and replace different manual component associated with seismic inversion and reservoir characterization workflow.

Specifically, the candidate will work with probabilistic and stochastic methods for subsurface property estimation and will seek and benchmark different ML algorithms which may have the potential to outperform existing method.

Qualification:

Penultimate or final year student, studying towards Bachelors or Masters in Telecommunication or Software Engineering, Computer Science, Mathematics or related field.

Competencies:

Required skills:

• Machine Learning
• Python programming
• Probability and statistics
• Signal processing
• Strong analytical skills

Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.