Applied Machine Learning Scientist II

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$125,000 - $154,000 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.

Job Description:

The role is responsible for providing technical knowledge and expertise on advanced analytics and machine learning across a broad range of analytics functions including data and modelling frameworks, tools, technology, processes and procedures.

Role generally provides expertise in stakeholder interactions related to complex advanced analytics related material.

Plays a lead role in the development of AI/ML systems to solve a range of complex problems and is adept at translating business objectives into technical solutions.

Job Description

CUSTOMER

• •Provide strong knowledge in a given AI/ML area. 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.
• •Work closely with business owners to identify opportunities and serve as an ambassador for data science.
• •Design and deliver enterprise analytic solutions for customers.
• •Develop powerful business insights from a broad range of data using advanced machine learning techniques.
• •Work in a highly interactive, team-oriented environment with Big Data developers, engineers, modelers and others

SHAREHOLDER

• •Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
• •Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
• •Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
• •Ensure business operations are in compliance with applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
• •Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
• •Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
• •Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
• •Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exists.
• •Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
• •Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
• •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.

EMPLOYEE / TEAM

• •Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
• •Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
• •Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
• •Participate in personal performance management and development activities, including cross training within own team.
• •Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
• •Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• •Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships. Contribute to a fair, positive and equitable environment that supports a diverse workforce.
• •Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH:

• •Adept at technical project execution, strategic planning and effective communication. Accountable for specialized knowledge in a field of AI/ML.
• •Work autonomously and accountable for acting as a lead within a function.
• •Undertakes and completes a variety of complex initiatives requiring seasoned specialist AI/ML knowledge and/or the integration of cross functional processes.
• •Position typically deals with senior/executive management.
• •Generally reports to a Senior Manager or executive role

EXPERIENCE AND / OR EDUCATION

• •University degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, Engineering, Finance, or a related discipline
• •3+ years of relevant experience.
• •Proven experience in development and deployment of machine learning models in production.
• •Understanding of machine learning, deep learning, large language models, and traditional statistical methodologies.
• •Specialized knowledge in at least one AI/ML domain and familiarity with modern ML frameworks, tools, processes, and best practices.
• •Hands-on coding experience with Python, PySpark, PyTorch and SQL are required including cloud platforms
• •Experience working with cross functional teams including engineers, data scientists, modelers, and business partners
• •Strong problem-solving skills and good writing skills as well as ability to communicate complex concepts to non-technical audiences..

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,