Data Scientist II
TD Bank is hiring a Data Scientist II in Toronto, Canada. Level rates it ; you can apply on TD Bank.
Level's read on this job
- Little AI ●○○○ is how Level rates this data scientist role: aI is not part of the work.
- The posting mentions Databricks among its tools and skills.
- Level classes it as a mid-level role.
- TD Bank has 1,700+ other open roles on Level.
- Posted in the last few days.
AI in this role
Work Location:
Toronto, Ontario, CanadaHours:
37.5Line of Business:
Analytics, Insights, & Artificial IntelligencePay Details:
$81,600 - $115,200 CADTD 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:
Role Overview
As a Data Scientist II in Business Banking, you will be responsible for designing, developing, and delivering advanced analytics solutions that support data-driven decision making. You will collaborate closely with business owners, technology partners, and cross-functional teams to understand objectives, identify data needs, and deliver actionable insights that drive strategic improvement.
This role combines strong technical expertise, analytical thinking, and business partnership to translate complex business problems into scalable data assets, insights, and automated analytics that deliver measurable outcomes across operations and performance management.
Key Responsibilities
- Leverage analytics, statistical modeling, machine learning, and data mining techniques to uncover insights, support data-driven decision-making, and optimize business outcomes.
- Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.
- Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
- Visualize insights from data to 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 AIML scientists, data and business analysts, and product owners to develop scalable solutions that retain long term benefit to the business.
- Clearly communicate the value, principles and math behind the scientific process such as hypotheses testing and statistical validation to drive organizational excellence.
- Provide thought leadership and/or industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.
Requirements:
- Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience
- 3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.
- Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Tableau, PowerBI, Databricks, on large datasets with a track record of delivering business impact and results. SAS skills is considered an asset.
- Strong problem-solving skills, with the ability to navigate ambiguous issues and deliver well-defined solutions.
- Excellent communication skills, with experience presenting insights to executive leaders and business partners.
- Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our businesses.
- Experience developing data-driven strategies, analytical frameworks, or decision-support solutions is considered a strong asset.
***Please note this position is Toronto, ON
**The Workplace Model for this position and requires 4 days/week in the Toronto office
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, 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.
If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
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 ObjetHow we rate this
Data Scientist II at TD Bank rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Built from this posting and from similar jobs on Level.
Pay
- Typical data scientist job
- $168k
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