Applied Machine Learning Scientist II

Description

Department Overview

Applied Machine Learning Science is a specialized field within advanced analytics that brings deep expertise in Artificial Intelligence (AI) / Machine Learning (ML) to drive innovation and improvements in business practices. This area is focused on developing and applying a broad set of evolving advanced AI/ML techniques to solve business problems. It includes gathering, analyzing, and modeling a wide range of data, applying mathematical models/techniques and tools, and utilizing software engineering best practices to develop and implement the solutions.

Responsibilities

• Provide technical expertise, develop, and implement state-of-the-art machine learning models relevant to products for personal banking: marketing, risk management, and strategy optimization.
• Analyze large and complex—structured and unstructured—datasets (scaling to petabytes), deploy deep learning techniques including large language models to develop solutions.
• Perform feature engineering and selection from raw data to enhance model accuracy and interpretability.
• Conduct research, support development, prepare and deliver presentations and communicate progress, plan and risk related to projects to stakeholders.
• Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
• Write/create and maintain appropriate documentation.
• Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
• Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
• Job Requirements
• Advanced university degree (Master's and PhD) in STEM—statistics, computer science, mathematics, physics, engineering etc.)
• 5+ years of relevant experience.
• Proven experience in development and deployment of machine learning models in production.
• Solid understanding of machine learning, deep learning, large language models, and traditional statistical methodologies.
• Hands-on coding experience with Python, PySpark, PyTorch and SQL are required.
• Experience with cloud platforms, such as Azure.
• Knowledge of AML regulations and financial crime risks is desirable.
• Strong problem-solving skills and good writing skills as well as ability to communicate complex concepts to non-technical audiences.
• Experience in graph-based machine learning and LLMs, especially transformers, is highly desirable
• 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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
• Our Total Rewards Package
• Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more
• Additional Information:
• We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.
• Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
• Colleague Development
• If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.
• If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
• We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
• Training & Onboarding
• We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
• Interview Process
• We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Conditions

Toronto, Ontario, Canada

Hours:

5

Line of Business:

Analytics, Insights, & Artificial Intelligence

$81,600 - $115,200 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.