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Added 11 mins ago
Senior Data Engineer, Temporary
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Added 19 hours ago
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Jobright.ai
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Proven experience working with analytics to provide practical and digestible insights gleaned from complex data sets

Scotiabank

Manager, AI & Data Science - Tangerine

ON, Canada
Toronto, ON, M5A 0L6, Canada

Apply by: Oct 9, 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.

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.

Apply About employer

More about this job

Responsibilities

Develop and operationalize predictive, prescriptive, and cognitive analytics solutions, including models and Next-Best-Action capabilities, to improve customer targeting, personalization, campaign performance, and business decision-making. Lead analytics delivery and value tracking for business use cases while coaching team members and partnering with business, product, digital, CRM, channel, and technology teams.

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
Campaign Optimization
Customer Targeting
Decisioning Strategies
Customer Personalization
Model Validation
Model Monitoring
Campaign Measurement
Business Analysis
Scenario Analysis
Python
BigQuery
Google Cloud Platform
Vertex AI

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

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

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