Applied Machine Learning Scientist II (ML/AI algorithms)

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Analytics, Insights, & Artificial Intelligence

Pay Details:
$91,200 - $136,800 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

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.

Job Description:

Department Overview

The Advanced Analytics (AA) team at TD Bank serves as a center of excellence (CoE), providing essential support to US lines of business with their advanced analytics requirements. This dedicated team specializes in creating and implementing sophisticated statistical and Machine Learning and Artificial Intelligence solutions to address a wide range of strategic business challenges across consumer, commercial, and shared services sectors within TD Bank.
The AA team collaborates closely with key stakeholders to identify opportunities for leveraging data-driven insights and predictive models to drive informed decision-making and optimize business outcomes. By harnessing cutting-edge analytical tools and techniques, the team helps TD Bank stay ahead of the curve in a rapidly evolving financial landscape. Additionally, they play a vital role in fostering a culture of innovation and continuous improvement by staying abreast of emerging trends and technologies in the field of advanced analytics. Through their expertise and dedication, the AA team contributes significantly to TD Bank's competitive edge and overall success in the marketplace.

Job Description

The role is focused on developing and applying a broad set of evolving advanced statistical and 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 solutions.
The successful candidates will play a lead role in the end-to-end project delivery for large scale and cross-functional advanced analytics projects leveraging leading-edge techniques and innovative solutions to solve a wide array of business problems. They will provide deep technical expertise in stakeholder interactions related to complex advanced analytics and AI/ML areas.

Detailed accountabilities include:
•Develop robust and reliable machine learning algorithms helping to solve strategic business challenges.
•Use advanced techniques, such as advanced statistics, advanced mathematics, machine learning and AI, NLP, LLMs and Generative AI, geospatial analytics, storytelling & visualization, on structured and unstructured data to enable insightful actions.
•Leverage a broad stack of technologies and platforms and packages- Python, Azure, Databricks, PySpark, PyTorch, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
•Work closely with various stakeholders and successfully lead the project through all phases of the model lifecycle, from ideation and design through data gathering, training, evaluation, control and governance partners review and approval process, implementation, and ongoing monitoring and maintenance.
•Provides expertise in stakeholder interactions related to complex advanced analytics related material. Effectively communicate model design and results to senior leaders and business partners, articulate the business problems from a technical/quantitative definition and facilitate key strategic discussions and provide thought leadership.
•Provide strong knowledge in various AI/ML areas. Deliver insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables.
•Maintain full professional knowledge of techniques and developments in the field of Machine Learning and AI, including Generative AI, and share knowledge with more junior staff, business partners, and senior management.
•Collaboration with cross-functional teams and stakeholders to translate business needs into innovative AI and data-driven solutions.
•Maintain relationship with the team's strategic partners, such as business teams, AI2, and governance and control partners.
•Provide thought leadership and mentorship to more junior staff.

Qualifications
•Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or relevant fields (advanced degree preferred).
•5+ years of experience in predictive modelling using various ML/AI techniques or a relevant advanced degree.
•Formal training or substantive experience in a quantitative field such as Computer Science, Statistics, Mathematics or relevant fields.
•In-depth knowledge of ML/AI algorithms and techniques, such as Gradient Boosting Method, NLP, modern Neural Networks, and time series forecasting.
•Familiarity and experience with Generative AI techniques and advancements.
•Full stack experience in data science product delivery, including data collection, aggregation, analysis, and visualization, development and testing, implementation, and monitoring.
•Proficiency in Python, PySpark, and SQL programming languages as well as object-oriented programming.
•Skilled with version control software or platform such as Git, Bitbucket or Github.
•Strong analytical and problem-solving skills
•Ability to work independently and collaboratively in a fast-paced, dynamic environment.
•Excellent written and verbal communications skills.
•Good time management and project management skills with strong ability to successfully balance competing priorities in a fast-paced environment.
•Ability to provide conflict resolution and collaborate effectively with teammates.

Preferred Qualifications
•Experience with distributed computing and parallel processing on large data sets using Spark.
•Experience with leading and managing a small team.
•Ability to research and implement Machine Learning algorithms from academic research papers.

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.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.

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.

Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):
Sans Objet