Data Scientist, GTB, Winter 2027 Analyst (8 Months)

At CIBC we enable the work environment most optimal for you to thrive in your role. To successfully perform the work, you’ll be on-site full-time.

The expected annualized base salary for this role is $100,000

The base salary is determined by a variety of factors, including the candidate’s skills, experience, and job-related knowledge, as well as geographic location and specific business needs. Our compensation philosophy supports ongoing growth and development, enabling progression within the salary range as team members advance in their roles.

We are committed to providing fair, equitable, and competitive compensation opportunities for all employees, and we encourage open conversations about compensation throughout the recruitment process.

Important information

• You are enrolled in an undergraduate or graduate degree in Commerce, Mathematics, Engineering, or related fields at the time of the internship and are on track to complete your undergrad or grad program no sooner than December 2027.

• Applications should include your resume, cover letter, and an unofficial transcript uploaded to the Resume/CV section of the application in PDF format in one document.

• Location: Toronto.

• Duration of Work Term: 4 or 8 months (January 2027 – April 2027 or August 2027)

• This job posting closes on September 18th at 11:59PM EST. Applications may be reviewed on a rolling basis. We encourage you to apply as soon as possible.

How You’ll Succeed

• Data Strategy & Innovation – You will assist in supporting GTB's data and AI strategy to accelerate the translation of data and AI technologies into business values. This includes contributing to frameworks to organize and integrate GTB data, supporting the modernization of data infrastructure and processes, and helping to define capability roadmaps for deploying scalable data science and AI solutions. In doing so, you will apply data science and AI across GTB domains such as treasury and liquidity management, cash flow forecasting, payment ecosystems (including domestic and cross-border payment rails such as SWIFT, ACF/EFT, and real-time payments), transaction and deposit patterning, financing optimization, and operate with an awareness of relevant regulatory considerations such as AML, KYC, and FINTRAC requirements.

• Strategic Business Planning & Management – You will support the execution of GTB's strategy by contributing to the alignment of data science and AI initiatives to business objectives and performance targets. You will assist in providing actionable insights through analysis of portfolio performance, pricing and net interest margin (NIM) trends, liquidity metrics, and market dynamics to inform strategic decision-making. This may include supporting analytics related to rates and NIM performance, portfolio profitability, capital consumption, and Client-level activity across regions, industries, and segments.

• Product & Process Optimization – You will assist in identifying practical opportunities to improve product performance, pricing effectiveness, and overall Client value propositions. This includes supporting the streamlining and automation of reporting, and contributing to analytics that support pricing, rates, NIM, liquidity analysis, and other GTB use cases, while driving continuous improvement across data and processes. You will also help enable more proactive insights through automation and AI, such as improved ad hoc reporting and monitoring of Client activities and market events (e.g., asset divestitures, bond issuance, M&A activities).

• Relationship Management & Collaboration – You will support strong partnerships with internal stakeholders across Sales, Treasury, Product, Risk, and Technology teams. You will effectively and efficiently communicate analytical findings, collaborate to understand business challenges, and contribute to alignment across teams to successfully deliver data-driven initiatives.

• Learning & Development – You will embrace a culture of collaboration, knowledge sharing, and effective problem-solving. You will actively seek guidance and mentorship to develop your skills, and contribute meaningfully to the Data Science team's initiatives in alignment with GTB's overall objectives.

Who you are

• You have a degree in a related field. You’re currently enrolled in or have recently completed a degree in Data Science, Computer Science, Mathematics, Engineering, Economics, Commerce, Business Analytics, Artificial Intelligence, or a related discipline.

• You’re eager to learn and grow. You bring foundational business knowledge and a strong interest in building your skills across data and analytics, including data engineering, business intelligence, cloud-based data services, statistics, programming languages such as Python and Structured Query Language (SQL), and data visualization tools such as Power BI.

• You can communicate complex ideas clearly. You translate analytical and technical concepts into clear, meaningful insights for partners across the business.

• You’re a thoughtful problem solver. You use critical thinking to analyze problems, identify opportunities, and contribute to effective solutions with guidance and support.

• You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

• Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.