Data Scientist

💰 ₹18,000 - ₹28,800 (Est.) 📍 Toronto

Job Description

Provide technical expertise across the overall Wealth Analytics function. Role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.

Department Overview

We are looking for top analytics talent to tackle data analysis challenges in the real world. The analytics services we deliver provides Wealth business stakeholders analytics and actionable insights to help drive meaningful business decisions and results. The team provides a holistic Wealth lens for revenue growth, cost reduction, risk management, customer service, etc. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing analytics solutions through introducing best-practices.

Job Description

Reporting to Senior Manager - Data Science, this role will help drive and support TD Wealth client engagement initiatives in analytical, process development, and execution capacities. This role will primarily focus on providing data-driven insights to support various business initiatives.

CUSTOMER

Work closely with business owners to identify opportunities and serve as an ambassador for data science.
Be familiar with the business context and data infrastructure and can translate business problems to viable data science solutions.
Use a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business.
SHAREHOLDER

Analytical thought leadership and stay current on developments in data mining and the application of data science.
Solicit and offer ideas for improving business processes through insights with the objective of improving effectiveness and efficiency.
Educate the organization on approaches, such as testing hypotheses and statistical validation of result.
Help the organization understand the principles and the math behind the scientist process to drive organizational alignment.
Translate up to date information into continuous improvement activities that enhance performance 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.
Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
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.
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:

Generally accountable for a significant business management area that typically has enterprise wide impact or accountability.
Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels.
Undertake and complete a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes.
Position typically deals with senior/executive management.
Work independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size.
May manage and prioritize multiple projects at a given time.
Job Requirements

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
5+ year of relevant experience.
Proven experience in the banking industry, with a focus on analytics, data analysis, or modeling.
Solid programming skills in languages like Python, R, or SQL for data manipulation and analysis.
Excellent communication skills, with the ability to effectively present complex analytics findings to non-technical stakeholders.
Ability to thrive in a fast-paced, collaborative environment and adapt to changing business needs.
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 +5,000 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

💡 Quick Summary

Seeking a career-building opportunity? The Data Scientist position is now open for candidates interested in the Bank Jobs sector. This role in Toronto offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.

Sponsored

Job Details

Company Name: TD Bank 3.8 3.8 out of 5 stars

Frequently Asked Questions

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The expected salary for Data Scientist in Toronto is ₹18,000 - ₹28,800 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Scientist is an on-site position based in Toronto. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Scientist. Previous experience in Bank Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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