Data Scientist Intern (May - 4 months)

Key Skills

AWS, Azure, Cloud computing, Data Engineering, Data Mining, Data science techniques, Machine learning techniques, Pandas, Python Programming, R Programming, Scikit-learn, SciPy, SPARK Programming, SQL, Statistical modeling

Job Description

As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

This position is for the IBM AI & Analytics team and resides in Toronto/Calgary/Montreal and is a 4-month work term commencing in May 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, 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

• Demonstrated familiarity or interest in machine learning, statistical analysis, or data mining through previous internships, personal/ academic projects, hackathons, and/or publications.
• Experience with one or more scripting languages (Python preferred), or a proven computer science foundation
• Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently and as a member of a cross-functional team.
• Must be eligible to work 4 months starting in May 2023

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)