SLB

Internship - Data Scientist - Suppliers risk evalu...

Job description

Internship – Data Science - 1

Suppliers risk evaluation and analysis: explainable AI

About SLB

We are a global technology company, driving energy innovation for a balanced planet.

At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that’s been our mission for 100 years. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer.

Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.

Our Purpose

Together, we create amazing technology that unlocks access to energy for the benefit of all.

You can find out more about us on https://www.slb.com/who-we-are

Job title

Internship - Suppliers risk evaluation and analysis: explainable AI (6 months)

Location

Clamart, France

Description

Supplier risk evaluation and analysis is a process used to identify, assess, and mitigate potential risks associated with working with a particular supplier. This includes risks related to the quality of the supplier's products or services, their delivery and fulfillment capabilities, their financial stability, and other factors that could impact the success of a business relationship. To conduct a supplier risk evaluation and analysis we follow a structured process that involves gathering information about the supplier, identifying potential risks, and assessing the likelihood and impact of those risks. This information is then used to develop strategies for mitigating the risks and ensuring that the business relationship with the supplier is as successful as possible.

Explainable AI is focused on developing algorithms and models that can not only make predictions or decisions based on data, but also provide clear and understandable explanations for how they arrived. This internship involves working on a project that aims at developing and implementing algorithms and models that can provide transparent and interpretable explanations for their predictions or decisions. This involves working with a team of AI researchers and using techniques such as sensitivity analysis, attribution maps, and natural language generation to create explanations that are easy for humans to understand. During the internship you have the opportunity to work on real-world applications of the oil & gas technology. You will have the chance to learn from professionals in the field and gain valuable experience in AI.

Deliverables

code (python), numerical models, Internship presentation and report.

Target Disciplines And Special Skills
  • Penultimate or final year of MSc in Data Science or similar Engineering degree
  • Oral and written communication skills in English
  • Knowledge in applied mathematics, probability & statistics, deep learning.
  • Proficiency in Python programming and algorithmic development.
  • Experience in PyTorch or Keras/Tensorflow.
  • Good motivation, autonomy, teamwork, and ingenuity
  • Knowledge in geology is a plus
SLB 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.

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