Jobs in Canada

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Added 9 hours ago
Senior Consultant - GCP Cloud Infrastructure Architect
Deloitte
Toronto, ON
Full-time
Working knowledge of the platform requirements for Gemini Enterprise and Vertex AI workloads - private connectivity, VPC-SC around AI/data services, workload-identity
Added 9 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
Partner with our GCP Agent Platform Architects to make the semantic layer, retrieval indices, and feature stores that Gemini agents and Vertex AI models depend on.
Added 9 hours ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
Partner with client architects and product owners to design agentic solutions on Gemini Enterprise / Vertex AI Agent Builder for real business workflows - customer operations, knowledge…
Added 11 hours ago
System Engineer
Vertage Global
ON · Ontario, Canada
Contract
Added 12 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
Full-time
Added 13 hours ago
System Engineer
Vertage
Ottawa, ON · Kanata, ON
Full-time
Added 13 hours ago
Manager AI Engineering-CA
CN
Montreal, QC
Full-time
Contribute to enterprise AI platforms, including Databricks, Gemini Enterprise, Vertex AI, and related technologies, to support solution delivery
Added 14 hours ago
Senior AI Engineer
Tangerine
Toronto, ON
Full-time
Familiarity with Google's Vertex AI tech stack
Added 14 hours ago
Senior AI Engineer
Scotiabank
Toronto, ON
Familiarity with Google's Vertex AI tech stack
Added 15 hours ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Added 18 hours ago
Senior Data and AI Scientist
Benevity
Remote, Canada
Full-time · Remote
Cloud Platforms: GCP (Vertex AI), AWS (SageMaker), or Azure ML (experience with one required); experience with containerization (Docker) or orchestration (Kubernetes) is a plus
Added 18 hours ago
Senior Data and AI Scientist
Benevity
Remote, Canada
$109,400 to $150,370 CAD / year
Full-time · Remote
Cloud Platforms: GCP (Vertex AI), AWS (SageMaker), or Azure ML (experience with one required); experience with containerization (Docker) or orchestration (Kubernetes) is a plus
Added 1 day ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
…(ReAct, Chain of Thought, Plan-and-Solve) using Google ADK, Vertex AI Agent Builder, LangChain, or…
Added 1 day ago
Enterprise Security Architect
Centraprise
Toronto, ON
Contract
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Added 1 day ago
Architecte de solution IA
CGI
Montreal, QC
Full-time
Expertise in designing AI/ML solutions on cloud platforms (Azure, AWS, or GCP), including managed services (Azure OpenAI, SageMaker, Vertex AI, etc.).
Added 1 day ago
Manager, AI & Data Science - Tangerine
Tangerine
Toronto, ON
Full-time
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.
Added 1 day ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
…AI, Vector Databases, and the Google AI ecosystem including Vertex AI and Gemini. The role requires a blend of strategic architecture leadership and hands-on technical expertise to deliver…
Added 1 day ago
Manager, AI & Data Science - Tangerine
Scotiabank
ON · Toronto, ON
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.
Added 1 day ago
Systems Engineer - End-to-End Software Diagnostics & Observability
EPITEC
Ottawa, ON
Contract
Experience with AI/ML frameworks and tools such as PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, or BigQuery.
Added 1 day ago
Senior Machine Learning Developer
Jobgether
Canada
Full-time
Familiarity with technologies such as LiveKit, Ray Serve, Dagster, Vertex AI, GCP, Kubernetes, Pulumi, or AI provider APIs is beneficial.
Added 1 day ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Solid experience with cloud platforms, particularly Azure, including Azure AI Foundry and Azure OpenAI; working knowledge of GCP and Vertex AI is an asset.
Added 1 day ago
Senior Software Developer, Full Stack, Applied AI Agent Studio
Urban Ridge Supplies
Toronto, ON
Full-time
The Developer Experience/CX Agent Studio (CXAS) Console team is harnessing the power of Google's next generation agentic development platform to empower anyone to build enterprise grade…
Added 1 day ago
AI Solutions Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Experience on enterprise AI platforms (e.g., Azure OpenAI, Google Vertex AI, Anthropic APIs), including security and cost/performance trade-offs
Added 1 day ago
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
Full-time
Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]).
Added 1 day ago
Applied AI Engineer
Urban Ridge Supplies
Mississauga, ON
Full-time
…Enterprise, tool use, extended thinking, Claude Code; Gemini API, Vertex AI Agent Builder, grounding; OpenAI Assistants/Responses APIs, Agents…

Tangerine

Manager, AI & Data Science - Tangerine

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 24, 2026
Experience: 3–5+ years of experience in analytics, AI/ML, data science, or advanced modelling, preferably within financial services.
Posting language: English
Posted: Sep 24, 2026

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Original job description

Requisition ID: 274027

At Tangerine, we’re redefining banking. As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of collaboration.

Our client-obsessed teams deliver flexible, accessible banking solutions, breakthrough products, and award-winning service. Beyond banking, we’re committed to making an impact in the communities we serve and across our organization. We foster a culture built on integrity, inclusion, and fearless ambition – where diverse perspectives are valued, and people are empowered to do their best work.

Are you ready to disrupt the status quo? Do you crave challenges that push boundaries? If you’re a high performer looking to accelerate your career and reimagine the banking landscape, this is your moment.

Let’s shape the future of banking together!

What You Will Be Doing

As the Manager, AI & Data Science, you will support the advancement of Tangerine’s predictive, prescriptive, and cognitive analytics capabilities by partnering closely with business, product, digital, CRM, and technology teams. This role will focus on delivering scalable analytics solutions, improving customer targeting and decisioning strategies, and supporting the development of production-ready models within Tangerine’s evolving AI and data ecosystem.

You will help design, implement, monitor, and optimize Next-Best-Action capabilities, predictive models, campaign measurement frameworks, and business insights that support customer acquisition, growth, engagement, and retention. You will also contribute to the modernization of Tangerine’s Data Science practice by promoting automation, experimentation, sound governance, and continuous improvement.

Is this role right for you? - In this role you will:

Support Tangerine’s Campaign Optimization strategy by partnering with Product, Digital, CRM, and Channel teams to design intelligent targeting, treatment, and measurement approaches.
Develop and operationalize predictive, prescriptive, and cognitive models to support automated insights, real-time decisioning, and customer personalization.
Lead analytics delivery for business use cases, including opportunity sizing, scenario analysis, campaign insights, model recommendations, and value realization tracking.
Coach and support AI & Data Science team members, helping build technical capability, analytical discipline, business acumen, and a culture of curiosity, innovation, and continuous learning.
Partner across teams to translate complex analytics into clear business recommendations, helping stakeholders make informed decisions and prioritize high-impact opportunities.

Skills

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

University degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, or a related quantitative field.
3–5+ years of experience in analytics, AI/ML, data science, or advanced modelling, preferably within financial services.
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.
Strong experience developing, validating, monitoring, or implementing predictive models and analytical solutions.
Strong quantitative and qualitative analytical skills, with the ability to translate data into practical business recommendations.
Strong communication skills, with the ability to explain complex analytical concepts clearly to both technical and non-technical audiences.
Ability to manage multiple priorities in a fast-paced environment and adapt to evolving business needs.

What's in it for you?

You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
You will have access to thousands of online and in-person courses so you can shape your career growth with support from diverse industry leaders.
You will get our help to save for your future and to invest in your total well-being through our Tangerine benefits.
You belong here, and we are equal and uncomplicated. Bring your true self to work, dress codes don’t apply here.
You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.

Location(s): Canada : Ontario : Toronto

At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

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More about this job

Responsibilities

Develop, operationalize, and optimize predictive, prescriptive, and cognitive analytics solutions, including customer targeting, decisioning, personalization, and campaign measurement. Lead analytics delivery for business use cases, communicate recommendations to stakeholders, and coach team members while supporting automation, experimentation, governance, and continuous improvement.

Requirements

A university degree in a quantitative field and 3–5+ years of experience in analytics, AI/ML, data science, or advanced modeling are requested, preferably in financial services. Candidates should have experience with tools such as Python, BigQuery, GCP, Vertex AI, or SQL, along with strong analytical, communication, and prioritization skills.

Skills

Predictive Modeling
Prescriptive Analytics
Cognitive Analytics
Artificial Intelligence
Machine Learning
Data Science
Python
BigQuery
Google Cloud Platform
Vertex AI
SQL
Model Validation
Model Monitoring
Campaign Optimization
Customer Personalization
Stakeholder Communication

Benefits

Career Development Courses
Retirement Savings Support
Well-Being Benefits
Workspace Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Data Science
Predictive Analytics
Prescriptive Analytics
Cognitive Analytics
Predictive Modeling
Customer Decisioning
Next-Best-Action
Campaign Optimization
Customer Targeting
Customer Personalization
Campaign Measurement
Python
BigQuery
Google Cloud Platform
Vertex AI
SQL
Model Development
Model Validation
Model Monitoring
Real-Time Decisioning
Scenario Analysis
Opportunity Sizing
Value Realization
Experimentation
Analytics Governance
Financial Services
Customer Acquisition
Customer Retention

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