Full Stack Data Science Engineering Specialist
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Job Summary
Work Location:
Toronto Ontario CanadaHours:
37.5Line of Business:
Analytics Insights & Artificial IntelligencePay Details:
$187500 - $261000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidates skills and experience job-related knowledge geographic location and other specific business and organizational needs.
As a candidate you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Job 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).
- 10 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).
Joignez-vous à une équipe danalytique stratégique qui soutient la prise de décision daffaires grâce à des analyses rigoureuses aux données et aux capacités dintelligence artificielle et dapprentissage automatique (IA/AA). En partenariat étroit avec les leaders daffaires et les équipes transversales vous contribuerez à identifier des occasions à forte valeur ajoutée à développer des solutions analytiques durables et à transformer des analyses complexes en recommandations claires concrètes et responsables.
- Diriger des analyses de performance de bout en bout couvrant les dimensions clients produits et conseillers afin didentifier des occasions damélioration liées à la croissance à lefficacité opérationnelle et à la relation client.
- Convertir les données en informations exploitables par lélaboration dhypothèses leur validation analytique et la communication structurée des constats aux parties prenantes.
- Concevoir développer et maintenir des actifs analytiques évolutifs incluant des ensembles de données des tableaux de bord des cadres de segmentation et des modèles prédictifs en IA/AA.
- Évaluer et mettre en œuvre des outils techniques et algorithmes dIA/AA afin de répondre à des enjeux daffaires complexes dans le respect des cadres de gouvernance et de gestion des risques.
- Produire des visualisations et des récits de données clairs et percutants adaptés à des publics techniques et non techniques.
- Travailler en étroite collaboration avec les partenaires daffaires afin de favoriser ladoption de lanalytique avancée et de lIA/AA à léchelle de lorganisation.
- Assurer une collaboration efficace avec les équipes de science des données dingénierie des TI et les responsables des processus daffaires.
- Agir comme expert-conseil en offrant du mentorat et de laccompagnement sur les méthodologies avancées en analytique et en IA/AA.
- Surveiller les tendances émergentes en analytique et les besoins en données afin daméliorer la réutilisabilité la robustesse et lévolutivité des solutions.
Sens des affaires et communication exécutive
- Capacité démontrée à structurer et à résoudre des problématiques complexes dans les services financiers et les services bancaires de détail.
- Aptitude à relier les résultats analytiques aux leviers daffaires (croissance efficacité expérience client et performance des conseillers) et à formuler des recommandations claires et orientées vers laction.
- Aisance à interagir avec des cadres supérieurs et la haute direction en influençant les décisions grâce à une communication concise factuelle et axée sur les insights.
Expertise en analytique appliquée
- Solide expérience en exploration de données en identification de tendances non évidentes et en validation rigoureuse dhypothèses afin de soutenir des décisions daffaires éclairées.
- Approche proactive et structurée axée sur lamélioration continue et la création de valeur mesurable.
IA et apprentissage automatique
- Expérience avec des modèles existants dIA/AA (ajustement des paramètres interprétation des résultats) ainsi quavec la conception ou lévolution de modèles au besoin.
- Bonne connaissance de lapprentissage automatique appliqué de lapprentissage profond et des grands modèles de langage (LLM).
Infonuagique et plateformes analytiques
- Expérience avec des environnements infonuagiques tels quAzure ou AWS et avec des services dIA/AA incluant Databricks Kubernetes Docker Azure Machine Learning et Azure Data Factory.
Visualisation et narration des données
- Capacité à concevoir des tableaux de bord et des visualisations clairs cohérents et adaptés à divers niveaux de public incluant la haute direction en mettant laccent sur la prise de décision.
Gestion et qualité des données
- Aisance à travailler avec des données structurées et non structurées provenant de sources multiples en assurant leur qualité leur fiabilité et leur conformité aux normes internes.
- Capacité à concevoir ou à améliorer des pipelines de données et des actifs analytiques.
Outils analytiques
- Maîtrise de Python PySpark SQL Power BI et Databricks (ou outils comparables).
- Expérience confirmée avec PySpark pour le traitement de données volumineuses et PyTorch pour le déploiement de modèles dapprentissage profond.
Compétences interpersonnelles
- Excellentes habiletés en collaboration en gestion des relations et en communication daffaires auprès de partenaires et de dirigeants.
- Diplôme universitaire (baccalauréat ou maîtrise) dans un domaine quantitatif ou analytique (analytique daffaires science des données statistique mathématiques génie informatique finance actuariat).
- 10 années dexpérience pertinente en analytique avancée science des données ou IA/AA appliquée idéalement dans les services financiers la technologie ou le conseil.
Compétences techniques clés
- Manipulation des données : SQL PySpark Python
- IA et AA : analytique prédictive traitement du langage naturel (NLP) apprentissage supervisé et non supervisé IA générative développement et déploiement de modèles expérimentation et optimisation
- Visualisation : Power BI Tableau
- Infonuagique et données massives : Azure (ADF Synapse Databricks) Snowflake
- Ingénierie des données : pipelines ETL/ELT Apache Spark
- Expérience en analytique client dans un contexte de services financiers (engagement intégration ventes croisées rétention productivité).
- Capacité démontrée à optimiser des actifs analytiques afin de générer des résultats daffaires mesurables.
- Bilinguisme (français et anglais).
Who We Are:
TD is one of the worlds 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 95000 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 benefits and discounts career development and reward and recognition programs. Learn more
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.
Were 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):
Maîtrise dune langue autre que le français pour offrir du soutien ou traiter avec des employés qui ont besoin de services et de soutien dans une langue autre que le français.Required Experience:
IC
