Data Science Associate

Jobtailor; Toronto; On-site; CAD 60,000 - 75,000; Full time

Job summary

TD is offering an 18-month AI2 Associate rotational program in Analytics Insights & AI in Toronto. You will perform data queries, clean data, and engineer features to prepare datasets for analysis and modelling.

You will analyze large datasets, communicate findings to both technical and non-technical audiences, and support data-driven solutions by building models using structured and unstructured data. You will collaborate with team members and business partners to develop, test, and deploy

Qualifications

• 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 Big Data, programming, data/text mining, optimization, algorithm development, automation, data visualization, or simulation.
• Experience in 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 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.

Responsibilities

• 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.

Skills

Data Analysis

Feature Engineering

Predictive Analytics

Python Programming

Data Management

Education

Undergraduate degree in Business/Management/Data Analytics

Tools

Python

Spark/PySpark

SQL

R

Java

Alteryx

Tableau

MS Azure

Job description

• 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

• 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

Core Competencies

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 Analysis
• Feature Engineering
• Predictive Analytics
• Python Programming
• Data Management

Hard Skills

• Data Queries
• Statistical Analysis
• Data Visualization
• Machine Learning
• Regression Modeling
• Algorithm Development
• Data/Text Mining
• Optimization
• Simulation
• Natural Language Processing

Soft Skills

• Leadership Qualities
• Communication Skills
• Problem-Solving Skills
• Team Collaboration
• Initiative

Industry Keywords

• Big Data
• Data Management
• Analytics
• Project Management
• Emerging Technologies

Tools & Technologies

• Python
• Spark/PySpark
• SQL
• R
• Java
• Alteryx
• Tableau
• MS Azure