Infor

Infor is looking for Development Interns to Join our Nexus Science team. Full-time internship for students for Spring 2024.
Duration: February 12th, 2024 - June 30th, 2024

Project: Model Prediction Explainability and Error Analysis

Project Description: Build software tools to help explain which features and feature values are driving the Predictive ETA model predictions and errors

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What do we do:
Questions that we would like to address:

• Can we identify patterns in the ETA predictions and show how they relate to the model input data? ​
• Can we understand where the model predictions are smooth or irregular and explain why these instances occur? ​
• Are there particular classes of outliers that drive disproportionate errors, or other classes of outliers that have little impact on performance? ​
•  How can we systematically present these findings to business users so that they can better manage their supply chain operations?
  
  

What will you need?

•  English language proficiency (excellent verbal and written communication skills).
• Coding skills in Python and/or R.
• Strong knowledge of machine learning algorithms, data science, and statistics.
• Proactive attitude and eagerness to learn.
•  Good collaboration and communication skills.
  
  

What will put you ahead?

• Familiarity with AWS tools.
•  Supply chain experience.
•  Previous internship experiences.