Lead end-to-end performance diagnostics across customer, product, and advisor dimensions

Translate curated data into actionable insights through hypothesis development, testing, analysis, and stakeholder storytelling

Design and deliver scalable analytics assets, including datasets, dashboards, segmentation frameworks, and predictive AI/ML models

Investigate, evaluate, and implement AI/ML tools and algorithms for complex business problems

Develop visualizations and data stories for technical and non-technical audiences

Partner with business owners to drive advanced analytics and AI/ML adoption

Lead collaboration with data scientists, engineers, IT partners, and business process owners

Provide subject-matter expertise, mentorship, and guidance on advanced analytics and AI/ML methodologies

Identify emerging analytical trends and data needs to improve repeatable and scalable solutions

Requirements

Strong ability to frame and structure complex business problems in financial services / retail banking

Demonstrated ability to connect analytical insights to commercial levers and influence senior executives and C-suite stakeholders

Experience creatively exploring data, identifying non-obvious patterns, and rigorously testing hypotheses

Experience working with existing ML/AI models and building or modifying models

Solid knowledge of applied Machine Learning, Deep Learning, and Large Language Models

Solid cloud experience with Azure or AWS and services including Databricks, Kubernetes, Docker, Azure Machine Learning, and Azure Data Factory

Proficiency in Python, PySpark,



SQL, Power BI, and Databricks or similar platforms

Solid experience with PySpark for big data processing and PyTorch for deep learning model serving

Experience with structured and unstructured data, data pipelines, and analytical assets

Strong relationship management, storytelling, and business communication skills

A graduate or undergraduate degree in a quantitative or analytics-focused discipline

5 years of relevant experience in advanced analytics, data science, or applied AI/ML

Knowledge of predictive analytics, NLP, supervised and unsupervised learning, Generative AI tools and APIs, model development and deployment, experimentation and optimization

Experience with Power BI, Tableau, Azure, Snowflake, ETL/ELT pipelines, and Apache Spark

Bilingual proficiency in English/French is nice-to-have

For Quebec roles, mastery of a language other than French to support employees or colleagues requiring services in another language

Core Competencies Demonstrates expertise in advanced analytics and AI/ML methodologies, with a strong ability to translate complex data into actionable insights for financial services and retail banking. Proficient in developing scalable analytics assets and collaborating with cross-functional teams to drive data-driven decision-making.

Highest-signal resume keywords

Advanced Analytics

Machine Learning

Data Visualization

Python Programming

Cloud Services (Azure/AWS)

Hard Skills

Machine Learning

Deep Learning

Predictive Analytics

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📌 Full Stack Data Science Engineer (Toronto)
🏢 Jobtailor
📍 Toronto