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indeed

Full Stack Data Science Engineer

TD
Toronto, CAN
Temporary
Senior
Field
Yesterday
PythonPySparkSQLPower BIDatabricksAzure
Free

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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, and translate findings into clear, actionable recommendations.
  • Applied Analytics Expertise: Demonstrated ability to creatively explore data, identify non obvious patterns, and rigorously test hypotheses to solve complex business problems.
  • ML/AI Lifecycle Familiarity: Experience working with existing ML/AI models 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.
  • Data Stewardship: Confident working with structured and unstructured data from multiple sources, ensuring data usability, cleanliness, and reliability.
  • Core Analytical Tools: Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms).
  • 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.
  • 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).

Pay Details

  • CAD 120,000 CAD 154,000 CAD.
  • The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
  • Eligible for variable compensation.

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