AI and Data Science

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 Advanced Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in predictive science, machine learning, artificial intelligence, 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. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality. 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 Advanced Data Science, you will apply your knowledge and experience of advanced modelling to solve challenging business problems and bringing 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 1-3 days per week on-site, while other days will be remote.

How You’ll Succeed

• Data Science Expertise- Provide advanced analytics solutions to solve business problem leveraging statistics, machine learning, generative AI, 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.

• Ignite innovation, drive actions- Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal resources or academic institution to obtain and discuss best practices. Passionate innovator and collaborator who is up for the challenge of building bank of the future and drive results through application of AI and Machine Learning use cases.

Who You Are

• You can demonstrate experience in Predictive analytics, forecasting, NLP and other advanced analytics techniques. You have extensive hands-on experience in one of the advanced analytics toolkits including: Python, SAS or R. You can demonstrate strong coding skills in writing SQL scripts to query databases and data warehouses along with translating data into insights and build visualization for different levels of audience. Its is also an asset if you have a proficiency in writing robust and efficient modular codes in an non-notebook environment. Familiarity in using Git or other version control tools. You must also have a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or other equivalent disciplines.

• You understand advanced interdisciplinary knowledge in deep learning, natural language processing, data science, and big data

• You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

• Purpose matter to you. You bring your real self to work and you live our purpose – always professional, radically simple , and genuinely caring.

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

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 [email protected]

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