Data Scientist II

TD; Canada; On-site; CAD 76,000 - 116,000; Full time

Job summary

An established industry player is seeking a data-savvy professional to join its Data Science team. This role involves orchestrating data from various sources, maintaining dashboards, and ensuring data quality. You'll leverage your expertise in SQL and Python to drive insightful analytics that support strategic decision-making. With a commitment to colleague development, this organization offers a dynamic environment where you can grow your skills and contribute to innovative solutions in the financial sector. Join a team that values collaboration and creativity while enhancing customer experiences across the globe.

Benefits

Health and well-being benefits

Savings and retirement programs

Paid time off

Banking benefits and discounts

Career development programs

Reward and recognition programs

Qualifications

• Strong experience in SQL, Python, and data analysis.
• Proven ability to maintain and validate reports and dashboards.

Responsibilities

• Coordinate data from multiple sources for accurate reporting.
• Maintain dashboards and conduct ad-hoc data analysis.

Skills

SQL

Python

PySpark

Databricks

Critical thinking

Problem-solving

Attention to data accuracy

Report/dashboard maintenance

Tools

Power BI

Tableau

Job description

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Analytics, Insights, & Artificial Intelligence

Pay Details:
$76,800 - $115,200 CAD

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.

Job Description:

Department Overview:

The Data Science team consists of professional roles that provide consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning; it leverages and interprets data and analytical product to provide business specific or broad strategic insight by using a variety of analytics techniques and audience-specific communication skills. This area can also focus on gathering, analyzing and modeling all kinds of data to develop business insights or analytics solutions and generally involves the use of broad range of statistical and/or mathematical models/techniques and tools.

This position will support the Customer Experience & DSIP analytics, Marketing and Digital Analytics, AI2 team

Job Responsibilities:

Data Orchestration

1. Coordinate and align data from multiple sources to produce accurate, consistent reports;
2. Validate key data points when applicable, resolve discrepancies, and ensure readiness for leadership and external reporting;
3. Track changes in upstream data sources and adjust logic/mapping as needed.

Dashboard and Report Maintenance

1. Maintain and QA recurring dashboards and scheduled reports;
2. Refresh visualizations and summaries for leadership and stakeholder consumption;
3. Monitor performance and flag/report outdated or broken components.

Ad-Hoc Data Extraction and Analysis

1. Respond to stakeholder requests by pulling data from SQL, dashboards, or data warehouses;
2. Conduct analysis to support decision-making.

Data Lineage and Documentation

1. Maintain documentation for all recurring metrics and reports, including definitions, transformations, and source tables;
2. Contribute to centralized data dictionary to support transparency and consistent usage across teams.

Reporting Process Automation

1. Identify repetitive tasks and build automated pipelines;
2. Reduce manual intervention in refresh cycles increase turnaround speed.

Data Quality & Monitoring Support

1. Assist in implementing data validation steps within reports or pipelines;
2. Monitor upstream changes that might affect reporting integrity and flag issues early.

Job Requirements:

Essential Skills/Experience:

1. SQL, Python, PySpark, Databricks;
2. Report/dashboard maintenance;
3. Strong attention to data accuracy and quality;
4. Ability to execute tasks efficiently;
5. Critical thinking & proactive problem-solving.

Nice-to-Have Skills:

1. BI tools (Power BI, Tableau, etc.);
2. Marketing/Digital Analytics knowledge;
3. Curiosity and adaptability.

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!