Senior AI Scientist

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 CIBC.com

What You will Be Doing

The Enterprise Advanced Analytics and Artificial Intelligence team is the centre 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. This role is focused on the development and delivery of advanced Marketing Mix Models, supporting CIBC’s marketing and business leaders by analyzing and optimizing the impact of marketing investments across multiple channels, driving data-driven decision-making and maximizing return on investment. 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 1-3 days per week on-site, while other days will be remote.

How You’ll Succeed

• AI Expertise - Provide advanced analytics 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 AI 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, Statistics, Mathematics, Economics, or a related field. 

• You can demonstrate experience in machine learning, marketing mix models, econometrics, time series forecasting, Bayesian models, causal inference, and/or other AI techniques with TensorFlow, PyTorch, scikit-learn, etc.

• 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'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 aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, 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.

• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and 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-carrieres@cibc.com

• 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.

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Advanced Analytics, Big Data Technologies, Critical Thinking, Data Analysis, Data Manipulation, Data Science, Data Visualization, Machine Learning, PL/SQL (Programming Language), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis