Senior AI Scientist, Advanced Analytics & AI

CIBC; Toronto; Hybrid; CAD 90,000 - 150,000; Full time

Job summary

CIBC's Enterprise Advanced Analytics and Artificial Intelligence team leads AI initiatives across GAM and WM, handling real-world data to deliver impactful solutions. You will work on end-to-end AI projects from experimentation to production, partnering with product, technology, and business teams.

Ideal candidates have 4–5 years in ML/NLP with Python and strong data products experience, plus familiarity with Azure, Databricks, Docker, and Kubernetes.

Qualifications

• 4-5 years of experience in machine learning, NLP, NLU, or related AI techniques with TensorFlow, PyTorch, Scikit-learn, etc.
• Proficient in Python; strong SQL/Spark scripting, API development, and Git version control; scalable, modular code.
• Experience with generative models (GANs, VAEs, transformers) and deploying AI models on Azure/Databricks; Docker/Kubernetes desirable.

Responsibilities

• Apply AI solutions to solve business problems using statistics, ML, NLP, GenAI, and optimization techniques.
• Translate data into insights and inform decision making with GAM and Wealth Management.
• Develop data products; mentor junior team members; collaborate with data scientists and engineers to deploy end-to-end solutions.

Skills

AI/ML/NLP

Python

SQL/Spark

APIs

Git

LLMs

LangChain

LangGraph

Semantic Kernel

GANs/VAEs/Transformers

Azure

Databricks

Docker

Kubernetes

Education

Degree in AI/DS/CS/SE/Stats/Math

Tools

Azure

Databricks

Docker

Kubernetes

LangChain

LangGraph

Semantic Kernel

Job description

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’ll be doing

The Enterprise Advanced Analytics and Artificial Intelligence team is CIBC’s centre of AI excellence, leading the way in applying best practices across artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) using the latest technology and platforms. We collaborate with leading academic institutions to promote the exchange of ideas, enrich our talent, and support every stage of the research life cycle; from academic partnerships to production-ready systems. We work closely with product, technology, and business partners to bring state-of-the‑art AI solutions to life across the organization. As a member of our team, you’ll apply your expertise in advanced modelling to solve complex business challenges and develop innovative solutions. You’ll focus on projects within Global Asset Management (GAM) and Wealth Management (WM), working with real‑world structured and unstructured datasets. From experimentation to deployment, you’ll own end‑to‑end solutions that drive meaningful impact for our clients and business.

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 beremote.

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-directedresearch, typically using non-traditionalresources to solve business problems.
• Analytical Partner - You will work with GAM and Wealth Management to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus onrelationship 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 can demonstrate 4-5 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 Python. 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 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 etc.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 know that details matter and 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 have a degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Statistics, Mathematics, or a related field.
• Your influence makes a difference. 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. 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 [e-mail]

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

• 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 test (such as simulation, coding, French proficiency).

• We use artificial intelligence tools during the recruitment process. 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

Big Data Technologies, Critical Thinking, Data Analysis, Data Manipulation, Data Visualization, Machine Learning (ML), PL/SQL (Programming Language), Python (Programming Language), R Programming, Statistical Analysis