Manager, AI & Data Science

Requisition : 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!

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.

• 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.

• 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, Big Query, 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.

• You will be part of a diverse and inclusive team of Client-focused go‑getters looking…