We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains.

Key Responsibilities

- Lead data science projects focused on cyber analytics and fraud detection that will guide strategic decisions and uncover optimization opportunities.
- Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services.
- Identify compromised payment accounts through internal and external data feeds, scanning for anomalies in payments at merchant locations, tracking common points of purchase for compromised cards, and assessing additional data sources for value-add.
- Collaborate with cross-functional teams including product, engineering, and operations to deliver scalable solutions.
- Translate clients and stakeholder needs into technical analyses and/or solutions. Communicate results and business impacts of insight initiatives to senior leadership and stakeholders.

Job Title :



Senior Data Scientist. Location : Toronto, ON - Canada (Hybrid).

Duration : 18+ Months Contract with potential extension.

Required Skills & Experience

- Experienced in building machine learning models in Python and working with large-scale distributed data processing frameworks, such as Apache Spark and Hadoop.
- Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis.
- Familiarity with the payment card industry, fraud, and cyber security.
- Experience with cloud platforms, such as AWS, is a plus.

A reasonable, good-faith estimate of the minimum and maximum hourly wage for this position rate may differ based on current location & experience level. Perks will be available, and details are available at the following links: Benefits Details: https://view.onedigital.com/harveynash2026contractors

401K Plan : Our employees work hard, which is why Harvey Nash is proud to contribute to their hard-earned savings with a 401(k)-retirement plan that includes a 10% company match on all deferrals. We also offer a Roth 401(k) for even more flexibility. Employees 21 years of age or older, and have completed 3 months of service, are eligible to participate.

📌 Senior Data Scientist (Toronto)
🏢 Harvey Nash
📍 Toronto