Data Scientist

Job summary

Develop AI, machine learning, and data engineering solutions for the Corporate Functions Analytics team. Analyze structured and unstructured data, apply predictive modeling and machine learning to support strategic development, and communicate findings as business value.

Job details

TekStaff's Client has a current vacancy for a Data Scientist This is a 12 month contract located in Toronto, ON/ Hybrid (2-3 days in the office per week) Must-have requirements: 5- 8 years of experience and advanced expertise in AI and machine learning, data engineering to develop solutions within the Corporate Functions Analytics team. A relevant STEM degree is required, along with experience in statistical analysis, machine learning, and predictive modeling (cross-sell, upsell, attrition). Strong programming skills (Python, Spark, R, SQL), experience with Cloud environments, and visualization tools like Power BI are expected. Applicants are required to manage substantial amounts of both structured and unstructured data, utilize machine learning techniques for strategic development, and preferably possess expertise in operations research methodologies for optimizing strategies. Strong collaboration skills, the ability to clearly convey technical information as business value, and proficiency in documentation and presenting findings are essential. Nice-To-Have Skills: Spanish proficiency is an asset Managing business stakeholder experience is an asset Previous banking experience is an asset TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

What you’ll do

Develop AI, machine learning, and data engineering solutions for the Corporate Functions Analytics team. Analyze structured and unstructured data, apply predictive modeling and machine learning to support strategic development, and communicate findings as business value.

Requirements

Requires 5–8 years of experience, a relevant STEM degree, and advanced expertise in AI, machine learning, data engineering, statistical analysis, and predictive modeling. Candidates should have strong Python, Spark, R, and SQL skills, cloud experience, and visualization experience such as Power BI; Spanish, stakeholder management, and banking experience are assets.

Listed skills

• Machine learning · Preferred
• Python · Preferred
• SQL · Preferred
• Power BI · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Artificial Intelligence
• Machine Learning
• Data Engineering
• Statistical Analysis
• Predictive Modeling
• Python
• Spark
• R
• SQL
• Cloud Environments
• Power BI
• Structured and Unstructured Data Management
• Operations Research
• Stakeholder Collaboration
• Technical Communication
• Documentation and Presentation

Job areas

• Data & Analytics
• Technology
• Science & Research
• Finance & Accounting

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