Data Scientist II
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Key skills for this role
About the Role
TD is seeking a Data Scientist II to join the Branch Analytics team within Analytics, Insights and Artificial Intelligence. The role involves designing, building, and deploying advanced analytics solutions on cloud platforms, translating business problems into production-ready data assets and insights.
Key Skills for This Role
Responsibilities
- Develop scalable analytics solutions using Python, SQL, PySpark and PowerBI within cloud environments (Azure Databricks and enterprise data platforms).
- Build curated datasets, automated pipelines, and analytics layers that support operational monitoring, performance insights, and regulatory controls.
- Analyze large, complex datasets to identify trends, risks, gaps, and optimization opportunities.
- Translate ambiguous business questions into structured analytical frameworks and actionable deliverables.
- Embed data quality checks, validation, and automation into all analytics products.
- Partner cross functionally with business stakeholders, data engineering teams, and enterprise analytics groups.
- Communicate insights through dashboards, presentations, and executive ready storytelling.
- Continuously improve analytics processes, standards, and reusable data assets.
- Support a strong risk and control culture through robust analytical monitoring and governance.
Requirements
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science).
- 3+ years of relevant experience; higher degree education and research tenure can be counted.
- Proficiency in Python (including Pandas, NumPy, Scikit learn, TensorFlow, PyTorch, and PySpark) and SQL (writing complex queries, stored procedures, and data extraction).
- Hands on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference.
- Experience building, training, and deploying machine learning models, including model pipelines, feature engineering, hyperparameter tuning, and model explainability.
- Experience with cloud based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments.
- Proficiency in tools like Power BI, Tableau, or similar platforms to create impactful visualizations and dashboards.
Full Job Posting
Department Description
- The Branch Analytics team within Analytics, Insights and Artificial Intelligence (AI2) provides consultative, data driven solutions to support operational excellence, regulatory adherence, and performance optimization across TD’s branch network.
- The team partners closely with business stakeholders to transform large scale enterprise data into scalable analytics products, actionable insights, and automated monitoring solutions that directly drive business value.
Job Description
- The Data Scientist II, Branch Analytics will design, build, and deploy advanced analytics solutions across cloud based platforms, translating complex business problems into production ready data assets, insights, and automated analytics.
- This role combines strong technical expertise, analytical thinking, and business partnership to deliver measurable outcomes across operations, risk, and performance management.
Key Responsibilities
- Develop scalable analytics solutions using Python, SQL, PySpark and PowerBI within cloud environments (Azure Databricks and enterprise data platforms).
- Build curated datasets, automated pipelines, and analytics layers that support operational monitoring, performance insights, and regulatory controls.
- Analyze large, complex datasets to identify trends, risks, gaps, and optimization opportunities.
- Translate ambiguous business questions into structured analytical frameworks and actionable deliverables.
- Embed data quality checks, validation, and automation into all analytics products.
- Partner cross functionally with business stakeholders, data engineering teams, and enterprise analytics groups.
- Communicate insights through dashboards, presentations, and executive ready storytelling.
- Continuously improve analytics processes, standards, and reusable data assets.
- Support a strong risk and control culture through robust analytical monitoring and governance.
Required Qualifications
- Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science).
- Graduate degree preferred or progressive project work experience.
- 3+ years of relevant experience; higher degree education and research tenure can be counted.
- Strong organizational skills with the ability to work in a fast paced environment and manage multiple deadlines and priorities.
- Ability to effectively work in teams across the bank with multiple stakeholders and to influence and align others.
- Strong risk acumen – challenges the status quo and proactively manages risks.
- Ability to work in ambiguity and simplify complex issues.
- Strong work ethic and ability to execute with speed.
Required Technical Skills
- Proficiency in Python (including Pandas, NumPy, Scikit learn, TensorFlow, PyTorch, and PySpark) and SQL (writing complex queries, stored procedures, and data extraction).
- Hands on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference.
- Experience building, training, and deploying machine learning models, including model pipelines, feature engineering, hyperparameter tuning, and model explainability.
- Experience with cloud based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments.
- Proficiency in tools like Power BI, Tableau, or similar platforms to create impactful visualizations and dashboards.
Pay Details
- CAD 81,600 CAD 115,200 CAD per year.
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.
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