JOB DESCRIPTION

The AI2 Data Scientist Associate will perform a variety of activities, which may include:

• Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering
• Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
• Participate in projects supporting a broad range of data driven solutions by applying a variety of techniques to build out models. Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
• Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
• Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
• Collaborate with business partners to support the business case development process for analytics solutions

JOB REQUIREMENTS

• Must be graduated between May 2024 and May 2026 with an Undergraduate degree in Business, Management, and/or Data Analytics or related.
• Strong statistical and analytical skills and interest are necessary.
• Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
• Experienced in one or more of:
• Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
• Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
• Reading and comprehending data schemas, metadata, entity relationship diagrams and other technical documentation
• Technical knowledge or experience with Cloud environments (MS Azure is a plus) as well as 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
• Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
• Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment. Experience presenting in front of big crowds/senior leadership is a plus.
• Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
• Experience with Data Management, Analytics, and Project Management is a plus.
• Remain current with emerging trends and technologies in this field.

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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Undergraduate