Data Analyst Intern (3Months)

This is a remote 3-month work term commencing in June 2023. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of the work-term.

Our team is looking for candidates with exceptional technical aptitude, an passion for applied data science, and an interest in solving business challenges with artificial intelligence and machine learning.

The successful candidate will join a fast-paced consulting team, composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers to conceptualize, develop and deploy machine learning solutions to solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, data science, and technical execution.

As an intern Data Analyst, you’ll have the unique opportunity to learn in a start up environment about the development of a technology roadmap, determine and define features and functionality for software development, research competitors features and functions, run demos and explore industry-leading AI/ML technology concepts in a cloud platform.

Required Technical and Professional Expertise

• Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently
• Must be eligible to work 3 months starting in June 2023
• Demonstrated familiarity or interest in any of the following: artificial intelligence, machine learning, data mining, statistical analysis: through previous internships, personal/academic projects, hackathons, and/or publications.
• Self Starter who takes initiative and is detail oriented and enjoys working in a collaborative team environment

Bonus Technical And Professional Expertise

• One or more work terms in a data science, artificial intelligence, machine learning or software engineering related role.
• Good familiarity with cloud application development and the tools required for building cloud-native data applications
• Experience using machine-learning or data engineering libraries/frameworks, master data management