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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical and statistical skills to analyze large datasets, perform feature engineering, and build predictive models. Proficient in communicating insights to both technical and non-technical audiences while collaborating effectively within a team environment.
Highest-signal resume keywords
Data AnalysisFeature EngineeringPredictive AnalyticsPython ProgrammingData Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data QueriesStatistical AnalysisData VisualizationMachine LearningRegression ModelingAlgorithm DevelopmentData/Text MiningOptimizationSimulationNatural Language Processing
Soft Skills
Leadership QualitiesCommunication SkillsProblem-Solving SkillsTeam CollaborationInitiative
Tools & Technologies
PythonSpark/PySparkSQLRJavaAlteryxTableauMS Azure
Industry Keywords
Big DataData ManagementAnalyticsProject ManagementEmerging Technologies
Tech Stack
Tools & technologiesAzureCloudJavaPySparkPythonSparkSQLTableau
About the role
Key responsibilities & impact- Participate in TD’s 18-month AI2 Associate rotational program across Analytics Insights & AI
- Perform data queries and prepare datasets for analysis and modelling
- Clean data and conduct feature engineering
- Analyze large datasets to identify trends and insights for business decisions
- Communicate findings to technical and non-technical audiences
- Support data-driven solutions by building models using structured and unstructured data
- Prepare datasets for machine learning through integration, cleaning, feature engineering, scaling, and transformation
- Collaborate with team members and business partners to develop, test, and deploy analytics solutions such as forecasting, optimization, and pricing models
- Identify business problems and opportunities suitable for data-driven solutions
- Develop proposals and approaches for analytics initiatives
- Support business case development for analytics solutions
- Work on initiatives that improve decisions, processes, systems, and applications supporting TD’s businesses
- Participate in programming, coaching, tools, and support provided through the Associate program
Requirements
What you’ll need- Must have graduated between May 2025 and May 2027
- Undergraduate degree in Business, Management, and/or Data Analytics or related field
- Strong statistical and analytical skills and interest
- Experience analyzing large data sets, drawing insights and inferences, and communicating outputs
- Experience in one or more of Big Data, programming, data/text mining, optimization, algorithm development, automation, data visualization, or simulation
- Experience in one or more of predictive analytics, regression, logit modeling, discrete choice, propensity modeling, or natural language processing
- Ability to read and comprehend data schemas, metadata, entity relationship diagrams, and technical documentation
- Technical knowledge or experience with cloud environments; MS Azure is a plus
- Experience with Data Management
- Strong technical knowledge and experience with at least one of Python, Spark/PySpark, SQL, R, Java, C/C++, Alteryx, or Tableau
- Strong leadership qualities, initiative, prioritization, communication, analytical, and problem-solving skills
- Excellent verbal and written communication
- Ability to work collaboratively and effectively in a team environment
- Ability to participate in a team with targeted deliverables
- Experience with Data Management, Analytics, and Project Management is a plus
- Ability to remain current with emerging trends and technologies
- Applications must include a transcript, cover letter of one letter-sized page or less, and a resume of maximum two pages
- Employees must reside in Canada, the country where the role is located
Benefits
Comp & perks- 18-month rotational program with two nine-month rotations
- Coaching and mentorship from business leaders and the Early Talent Experience team
- Leadership talks
- Lunch and learns
- Self-development workshops
- TD-sponsored conferences
- Socials
- Team challenges
- Volunteer opportunities
- Career coaching
- Community of support and cohort programming
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
- Regular development conversations
- Training programs
- Online learning platform
- Mentoring programs
- Training and onboarding sessions