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 solid 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

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📌 Data Science Associate (Winnipeg)
🏢 Jobtailor
📍 Winnipeg