AI Scientist, Advanced Analytics and AI

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit

What You will Be Doing

The Enterprise Advanced Analytics and Artificial Intelligence team is the center of AI excellence within CIBC and is leading the way in applying the best practices in artificial intelligence , machine learning and natural language processing, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology, and business partners to apply the state of the art in AI to our business.

With your defined practical experience in the domain of Artificial Intelligence, you will apply your knowledge and experience of advanced modelling to solve challenging business problems and building innovative solutions. You'll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You'll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.

At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 2-3 days per week on-site, while other days will be remote.

How You'll Succeed

• Artificial Intelligence Expertise - Provide AI solutions to solve business problem leveraging statistics, machine learning, natural language processing, GenAI, and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

• Analytical Partner -  You will work with business units to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.

• Intellectual Curiosity and Continuous Improvement - Maintain a strong desire to enhance our AI/ML techniques and approaches. Collaborate with data experts to understand data and engineer relevant features. Work effectively with fellow data scientists and engineers to develop data products. Mentor junior team members and offer technical thought leadership.

Who You Are

• You have a degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Statistics, Mathematics, or a related field.

• You can demonstrate 1-2 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques with TensorFlow, PyTorch, scikit-learn, etc.

• You have extensive hands-on experience with at least one AI toolkit, such as Python, or R. Proficient in writing SQL/ Spark scripts, developing robust and efficient modular Python code in a non-notebook environment, creating APIs, and working with Git version control tools.

• You have expertise in Python programming, with proficiency in libraries such as TensorFlow, PyTorch, and scikit-learn.

• You have a strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, as well as model selection, training, and evaluation. Experience with prompt engineering and integrating large language models (LLMs) into data applications, using frameworks like LangChain, LangGraph, Semantic Kernel, or AutoGen. Solid grasp of statistical concepts, including probability distributions, hypothesis testing, and regression analysis, to interpret data patterns and evaluate model performance.  Proficiency with Git for version control, team collaboration, and ensuring code reproducibility. Ability to write clean, maintainable, and scalable code, applying object-oriented programming principles and software design patterns.

• You have hands-on experience with generative models such as GANs, VAEs, and transformers, and their practical applications. Experience with Azure and Databricks for deploying and scaling AI models would be an asset. Familiarity with containerization technologies like Docker and Kubernetes for large-scale deployment and management of AI applications is also desirable. Knowledge of AI lifecycle management concepts and related tools would be considered an additional advantage.

• You're passionate about people Driven by collective success, recognizing that collaboration can transform a good idea into a great one. Understands the power of an inclusive team that enjoys working together to bring a shared vision to life.

• Values matter to you. Committed to bringing your authentic self to work and living our purpose—always professional, radically simple, and genuinely caring. Dedicated to embodying our core values of trust, teamwork, and accountability in all professional endeavors.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

• We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

*Subject to program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

• We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Expected End Date

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Visualization, Machine Learning, Predictive Analytics, Statistical Data Modeling, Strategy Implementation

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