ISC Data Analytics ML Engineer Intern - Remote

Overview

The ISC Data Analytics ML Engineer Intern will contribute to the development and implementation of machine learning models within the Integrated Supply Chain Data analytics teams, requiring expertise in machine learning techniques, data analytics, and supply chain processes.

In Short

• Design, develop, and deploy machine learning models for supply chain challenges.
• Perform extensive data analysis to identify patterns and insights.
• Collaborate with cross-functional teams including Solution Architects and Data Scientists.
• Develop algorithms to optimize supply chain performance.
• Create documentation and reports for stakeholders.
• Stay updated with advancements in machine learning and supply chain analytics.
• Implement MLOps practices for model deployment and monitoring.
• Provide guidance and mentorship to junior team members.
• Promote a culture of learning and innovation within the team.
• Contribute to improving healthcare through innovative technology solutions.

Requirements

• Deep understanding of machine learning techniques.
• Experience in data analytics and supply chain processes.
• Strong technical expertise and problem-solving skills.
• Ability to communicate complex concepts to non-technical stakeholders.
• Experience with MLOps practices.
• Passion for innovative solutions in healthcare technology.
• Ability to work collaboratively in a team environment.
• Strong analytical skills.
• Experience with documentation and reporting.
• Mentoring skills for junior team members.

Benefits

• Opportunity to work on cutting-edge technology in healthcare.
• Gain experience in machine learning and data analytics.
• Collaborate with professionals across 50 countries.
• Contribute to improving global healthcare delivery.
• Participate in a culture of innovation and learning.
• Work within a supportive and collaborative team environment.
• Flexible work arrangements due to remote work options.
• Access to training and development resources.
• Potential for future employment opportunities.
• Be part of a mission-driven organization focused on human health.