Job Information
CIBC Senior AI Data Scientist in Toronto, Ontario
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 (https://www.cibc.com/en/about-cibc.html)
What You’ll Be Doing
The Senior AI Data Scientist is integral to the Decision Science team, driving advanced predictive analytics and machine learning to enhance client personalization while ensuring rigorous model governance. Reporting to the Director, Decision Science , the Sr. AI Data Scientist collaborates with model validation teams to ensure compliance with governance standards, addresses complex technical inquiries, and develops machine learning models on platforms like Databricks. The Decision Science team is a central hub of data science expertise within Personal and Business Banking, and is leading the way in applying the best practices in predictive data science and machine learning, leveraging massive datasets and the latest in big data technology platforms to truly revolutionize personalization to drive client experience. We are committed to maintaining the highest standards of model governance and validation to ensure the reliability and integrity of our predictive models.
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. *We’re hiring 2 positions.
How You’ll Succeed
Collaboration – Maintain good cross-functional collaboration with model validation teams to ensure compliance with model governance policies and procedures, responding to complex technical questions about existing predictive model methodologies and data. Build new predictive machine learning models on Databricks by collaborating with internal stakeholders to understand their requirements and independently executing solutions. Work closely with other senior data scientist and modelers to facilitate effective dissemination of model related documents and model governance and model performance to business partners.
Data Science - Stay up-to-date with industry trends and advancements in model validation and governance practices. Develop and maintain documentation for model development, validation, and monitoring processes, conduct automated reviews and assessments of models to ensure they meet performance benchmarks, build ML AI models using open source languages on Databricks.
Business Consulting - Provide analytical solutions to solve business problems by leveraging statistical, machine learning and optimization techniques. Automate model reviews, maintaining governance documentation, and delivering innovative solutions to business challenges. Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners. Ensure that deliverables are met in a timely manner and that the quality of analytics business sign-off on delivery related initiatives related to the analytics standards
Who You Are
You can demonstrate 3 to 5 years of work experience in open source coding such as Python, PySpark etc. with experience on Cloud. It’s an asset if you have experience in SAS.
You can demonstrate 3 to 5 years of work experience with Python machine learning frameworks and libraries like scikit-learn and TensorFlow. It’s an asset if you have knowledge of R, including tidyverse and machine learning libraries.
You can demonstrate work e xperience with data governance tools and platforms, such as Databricks Unity Catalog. You can successfully demonstrate strong analytical and problem-solving skills to ensure the quality and integrity of predictive models.
You have a M aster’s degree in Mathematics, Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
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.
Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
#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, 25th Floor
Employment Type
Regular
Weekly Hours
37.5
Skills
Big Data Technologies, Cloud Applications, Critical Thinking, Databricks Unity Catalog, Data Manipulation, Data Visualization, Machine Learning, Machine Learning Techniques, PL/SQL (Programming Language), Predictive Modeling, PySpark, Python (Programming Language), Python Sqlite3, R Programming, R Statistics, SAS Platform, Scikit-Learn, Statistical Analysis, Tensorflow
At CIBC, we are in business to help our clients, employees and shareholders achieve what is important to them. Our ability to create value for all CIBC stakeholders is driven by a business culture based on common values: Trust, Teamwork and Accountability.
Working with CIBC makes you a part of a work environment committed to our clients, employees and communities - a place where you can excel.
Every day, our 44,000 employees help our clients achieve their financial goals, because what matters to our clients, matters to us.