Description Department Overview Join a high-impact analytics team that shapes business decisions through data, insights, and AI/ML.

Collaborate with business leaders and cross-functional teams to uncover opportunities, build scalable analytics solutions, and translate complex analysis into actionable insights.

Key Responsibilities Lead end-to-end performance diagnostics across customer, product, and advisor dimensions to identify growth, efficiency, and primacy opportunities.

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 to solve complex business problems.

Develop compelling visualizations and data stories tailored to technical and non-technical audiences.

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

Lead cross-functional 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.

Required Qualifications & Skills Business Acumen: Strong ability to frame and structure complex business problems in financial services / retail banking, connect analytical insights to commercial levers (growth, efficiency, customer and advisor outcomes), and translate findings into clear, actionable recommendations.

Demonstrated comfort engaging with senior executives and Csuite stakeholders, influencing decisions through concise, insightdriven storytelling.

Applied Analytics Expertise: Demonstrated ability to creatively explore data, identify nonobvious patterns, and rigorously test hypotheses to solve complex business problems.

Brings an entrepreneurial mindset to analytics by proactively identifying opportunities, challenging assumptions, and delivering highimpact insights that drive informed decisionmaking. ML/AI Lifecycle Familiarity: Experience working with existing ML/AI models (adjusting inputs, interpreting outputs) and building or modifying models as needed.

Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models Solid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory Visualization & Communication: Proficient in creating clear, compelling dashboards, visualizations, and data stories tailored to diverse audiences, including senior executives and Csuite leaders, translating complex analysis into concise, decisionready narratives.

Data Stewardship: Confident working with structured and unstructured data from multiple sources, ensuring data usability, cleanliness, and reliability.

Able to build or modify data pipelines or analytical assets.

Core Analytical Tools: Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data preparation, analysis, and collaboration.

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

Non-Technical Skills: Strong relationship management, storytelling, and business communication skills for senior audiences.

Education & Experience A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance, Actuarial Science). 5 years of relevant experience in advanced analytics, data science, or applied AI/ML in domains such as financial services, technology, consulting, or similar industries Data Manipulation : SQL, PySpark, Python AI & ML : Predictive Analytics, Natural Language Processing (NLP), Supervised and Unsupervised Learning, leveraging Generative AI tools and APIs, Model Development and Deployment, Experimentation and Optimization including emerging capabilities and their application in analytical workflows.

Data Visualization: Power BI, Tableau Cloud & Big Data Platforms: Azure (ADF, Synapse, Databricks), Snowflake Data Engineering : ETL/ELT Pipelines, Apache Spark Nice-to-Have Experience in customer analytics within financial services (e.g., engagement, onboarding, cross-sell, retention, productivity insights).

Expertise in optimizing analytical assets (data pipelines, models, dashboards) to drive measurable business impact.

Bilingual proficiency (English/French).





Aperu du dpartement Joignez-vous une quipe danalytique stratgique qui soutient la prise de dcision daffaires grce des analyses rigoureuses, aux donnes et aux capacits dintelligence artificielle et dapprentissage automatique (IA/AA).

En partenariat troit avec les leaders daffaires et les quipes transversales, vous contribuerez identifier des occasions forte valeur ajoute, dvelopper des solutions analytiques durables et transformer des analyses complexes en recommandations claires, concrtes et responsables.

Responsabilits principales Diriger des analyses de performance de bout en bout couvrant les dimensions clients, produits et conseillers, afin didentifier des occasions damlioration lies la croissance, lefficacit oprationnelle et la relation client.

Convertir les donnes en informations exploitables par llaboration dhypothses, leur validation analytique et la communication structure des constats aux parties prenantes.

Concevoir, dvelopper et maintenir des actifs analytiques volutifs, incluant des ensembles de donnes, des tableaux de bord, des cadres de segmentation et des modles prdictifs en IA/AA. valuer et mettre en uvre des outils, techniques et algorithmes dIA/AA afin de rpondre des enjeux daffaires complexes, dans le respect des cadres de gouvernance et de gestion des risques.

Produire des visualisations et des rcits de donnes clairs et percutants, adapts des publics techniques et non techniques.

Travailler en troite collaboration avec les partenaires daffaires afin de favoriser ladoption de lanalytique avance et de lIA/AA lchelle de lorganisation.

Assurer une collaboration efficace avec les quipes de science des donnes, dingnierie, des TI et les responsables des processus daffaires.

Agir comme expert-conseil, en offrant du mentorat et de laccompagnement sur les mthodologies avances en analytique et en IA/AA.

Surveiller les tendances mergentes en analytique et les besoins en donnes afin damliorer la rutilisabilit, la robustesse et lvolutivit des solutions.

Qualifications et comptences requises Sens des affaires et communication excutive Capacit dmontre structurer et rsoudre des problmatiques complexes dans les services financiers et les services bancaires de dtail.

Aptitude relier les rsultats analytiques aux leviers daffaires (croissance, efficacit, exprience client et performance des conseillers) et formuler des recommandations claires et orientes vers laction.

Aisance interagir avec des cadres suprieurs et la haute direction, en influenant les dcisions grce une communication concise, factuelle et axe sur les insights.

Expertise en analytique applique Solide exprience en exploration de donnes, en identification de tendances non videntes et en validation rigoureuse dhypothses afin de soutenir des dcisions daffaires claires.

Approche proactive et structure, axe sur lamlioration continue et la cration de valeur mesurable. IA et apprentissage automatique Exprience avec des modles existants dIA/AA (ajustement des paramtres, interprtation des rsultats) ainsi quavec la conception ou lvolution de modles, au besoin.

Bonne connaissance de lapprentissage automatique appliqu, de lapprentissage profond et des grands modles de langage (LLM).

Infonuagique et plateformes analytiques Exprience avec des environnements infonuagiques tels qu

Azure ou AWS et avec des services dIA/AA incluant Databricks, Kubernetes, Docker, Azure Machine Learning et Azure Data Factory.

Visualisation et narration des donnes Capacit concevoir des tableaux de bord et des visualisations clairs, cohrents et adapts divers niveaux de public, incluant la haute direction, en mettant laccent sur la prise de dcision.

Gestion et qualit des donnes Aisance travailler avec des donnes structures et non structures provenant de sources multiples, en assurant leur qualit, leur fiabilit et leur conformit aux normes internes.

Capacit concevoir ou amliorer des pipelines de donnes et des actifs analytiques.

Outils analytiques Matrise de Python, PySpark, SQL, Power BI et Databricks (ou outils comparables).

Exprience confirme avec PySpark pour le traitement de donnes volumineuses et PyTorch pour le dploiement de modles dapprentissage profond.





Comptences interpersonnelles Excellentes habilets en collaboration, en gestion des relations et en communication daffaires auprs de partenaires et de dirigeants.

Formation et exprience Diplme universitaire (baccalaurat ou matrise) dans un domaine quantitatif ou analytique (analytique daffaires, science des donnes, statistique, mathmatiques, gnie, informatique, finance, actuariat). 5 annes dexprience pertinente en analytique avance, science des donnes ou IA/AA applique, idalement dans les services financiers, la technologie ou le conseil.

Comptences techniques cls Manipulation des donnes : SQL, PySpark, Python IA et AA : analytique prdictive, traitement du langage naturel (NLP), apprentissage supervis et non supervis, IA gnrative, dveloppement et dploiement de modles, exprimentation et optimisation Visualisation: Power BI, Tableau Infonuagique et donnes massives: Azure (ADF, Synapse, Databricks), Snowflake Ingnierie des donnes : pipelines ETL/ELT, Apache Spark Atouts Exprience en analytique client dans un contexte de services financiers (engagement, intgration, ventes croises, rtention, productivit).

Capacit dmontre optimiser des actifs analytiques afin de gnrer des rsultats daffaires mesurables.

Bilinguisme (franais et anglais).

Who We Are: TD is one of the world''s leading global financial institutions and is the fifth largest bank in North America by branches/stores.

Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world.

More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing.

Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals.

Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking perks and discounts, career development, and reward and recognition programs.

Additional Information: Were delighted that youre considering building a career with TD.

Through regular development conversations, training programs, and a competitive benefits plan, were committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes.

It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development If youre interested in a specific career path or are looking to build certain skills, we want to help you succeed.

Youll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If youre passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We''re committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals.

Here at TD, we hire and develop the best.

Training & Onboarding We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process Well reach out to candidates of interest to schedule an interview.

We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation Your accessibility is important to us.

Please let us know if youd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you! Language Requirement (Quebec only): Matrise dune langue autre que le franais pour offrir du soutien ou traiter avec des employs ou des collgues qui ont besoin de services et de soutien dans une langue autre que le franais.

📌 Full Stack Data Science Engineer (Toronto)
🏢 The Toronto-Dominion Bank (Canada)
📍 Toronto