Applied Machine Learning Scientist II
TD Centre - TD Tower - 66 Wellington Street West
TD
Explore what TD Canada Trust is all about. Learn about our values, initiatives, reporting, news, careers, recent awards, and more.Work Location:
CanadaHours:
37.5Line of Business:
Analytics, Insights, & Artificial IntelligencePay Details:
We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.
Job 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 solutions.
Job Description
- We will be offering a variety of roles from junior to intermediate level.
- The roles may consist of (but not limited to) one or more of the following key areas:
- Develop leading-edge techniques and innovative methodologies to solve a wide array of business problems.
- Develop and apply new and innovative solutions to solve enterprise problems.
- Provide deep technical expertise in stakeholder interactions related to complex advanced analytics and AI/ML area.
- Responsible for providing technical expertise on advance analytics and machine learning across a broad range of analytics functions including data and modelling frameworks, tools, technology, processes and procedures.
- Plays a role in the development of AI/ML systems and is able to provide actionable insights to solve business problems.
- 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 exist.
- 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.
- 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.
- Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
Job Requirement
- Undergraduate degree in STEM is required (computer science, engineering, math or physics etc.) Graduate's degree preferred with either progressive project work experience.
- Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models
- Strong coding proficiency: python and/or Java and/or Scala
- Cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory
Min Years' Experience Level
Junior- 2+ years of experience
Intermediate- 4+ years of experience
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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Banking Computer Science CX Databricks Deep Learning Docker Engineering Java Kubernetes LLMs Machine Learning Mathematics Physics Python Research Scala STEM
Perks/benefits: Career development Competitive pay Flex hours Health care Team events
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