
Data Scientist and Machine Learning Engineer Intern
McKesson
internship
Posted on:
Location Type: Hybrid
Location: Montreal • Canada
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Salary
💰 $17 - $26 per hour
Job Level
About the role
- Analyze diverse datasets to uncover patterns, trends, and actionable insights
- Develop and implement machine learning models and feature engineering techniques
- Collaborate with business units to gather requirements and deliver data-driven solutions
- Design, execute, and evaluate experiments to validate models and hypotheses
- Utilize advanced statistical and machine learning techniques to drive business decisions
- Create and maintain robust data pipelines and processing systems
- Present findings to stakeholders through detailed reports and visualizations
- Stay informed on the latest trends in AI and ML technologies
Requirements
- Currently pursuing a Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field
- Basic understanding or coursework in AI and ML tools and techniques is a plus
- Interest in analyzing complex datasets and ability to conceptualize data-driven solutions
- Eagerness to learn about integrating intelligent capabilities into business processes
- Strong problem-solving skills with a passion for transforming complex challenges into straightforward solutions
- Excellent communication skills, with a willingness to learn how to convey technical concepts clearly to non-technical stakeholders
Benefits
- Competitive compensation package
- Total Rewards package
- Annual bonus opportunities
- Long-term incentive opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningfeature engineeringdata analysisstatistical techniquesdata pipelinesdata processingdata visualizationexperiment designhypothesis validationAI technologies
Soft Skills
problem-solvingcommunicationcollaborationanalytical thinkingadaptabilityeagerness to learnconceptualizationstakeholder engagementpresentation skillsattention to detail