JOB DESCRIPTION

The Analytics, Insights & Artificial Intelligence (AI2) Associate Program is a 1-year enhanced development opportunity in analytics and data. The Applied Machine Learning Scientist will perform a variety of activities, which may include:

• Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
• Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
• Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
• Build production-scale solutions and work with deployment teams to integrate in business operations
• Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences

JOB REQUIREMENTS

• Must be graduated between May 2024 and May 2026 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
• Strong statistical and analytical skills as well as a passion for analytics 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, Model development, Discrete Choice, Propensity Modeling, Natural Language Processing, Generative AI.
• Software Engineering – Code Quality, Version Control, Object-Oriented Programming
• Strong technical knowledge and experience with one or more of: Python, R, Spark, SQL, SAS, Java, or C/C++
• Technical knowledge or experience with Cloud environments as well as experience with Data Management, and Project Management are a plus.
• 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.
• 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.
• Remain current with emerging trends and technologies in Data Science

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.

Masters and Advanced Degrees