Data Scientist Intern (January - 4 months) - IBM Consulting

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role you’ll be encouraged to challenge the norm investigate ideas outside of your role and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities
This position is for IBM Consulting and resides in Toronto and is a 4-month work term commencing in January 2025. 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 a passion for applied data science and an interest in telling stories through data to solve real world business problems.

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 Scientist you’ll have the unique opportunity to learn and use industry-leading data science technologies on a cloud platform (e.g. IBM Cloud Azure) by working on innovative projects that generate value for external client engagements or internal initiatives.

Required Technical and Professional Expertise

Preferred Technical and Professional Expertise

• Minimum one work term in a data science or machine learning related role.
• Experience using machine-learning/data science libraries in python (scikit-learn SciPy pandas TensorFlow).
• General familiarity with databases and data-engineering tools (SQL Spark).
• Familiarity with cloud platforms (e.g. IBM Cloud Azure AWS)