Data Scientist II — Business Banking Analytics

Td Wealth Management; Wilmington (DE); On-site; USD 57,000 - 81,000; Full time

Job summary

TD in Toronto, Ontario, is seeking a Data Scientist II in Business Banking to design, develop, and deliver advanced analytics solutions that support data-driven decisions.

You will partner with business owners, technology teams, and analysts to translate complex problems into scalable data assets and actionable insights that drive measurable improvements. You will communicate findings to executives and stakeholders and help steer data strategy.

Qualifications

• 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.

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.

Education

Undergraduate or higher degree

Tools

Python

Pyspark

SQL

Tableau

PowerBI

Databricks

SAS

Job description

TD in Toronto, Ontario, is seeking a Data Scientist II in Business Banking to design, develop, and deliver advanced analytics solutions that support data-driven decisions.

You will partner with business owners, technology teams, and analysts to translate complex problems into scalable data assets and actionable insights that drive measurable improvements. You will communicate findings to executives and stakeholders and help steer data strategy.