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Date Posted: 08/24/2026 Hiring Organization: Rose International Position Number: 506149 Industry: Financial Services Job Title: Senior Data Scientist - Fraud & Cyber Analytics Job Location: Toronto, ON, Canada, M3C 0E3 Work Model: Hybrid Work Model Details: Onsite 3 days per week. Shift Standard Working Hours 30 hours per week Employment Type: Temporary FT/PT: Part-Time Estimated Duration (In months): 20 Min Hourly Rate($): 68.00 Max Hourly Rate($): 73.00 Must Have Skills/Attributes: Banking/Financial, Fraud, Machine Learning, PySpark, Python, SQL Experience Desired: Python and SQL coding skills (4+ yrs); Experience building machine learning and statistical models (4+ yrs); Experience building scalable data pipelines using PySpark (4+ yrs); Experience in Fraud detection, cybersecurity, or payment analytics (2+ yrs) Preferred Education: Bachelor’s Degree Preferred Certifications/Licenses: Recognized Data Science-related certifications are a plus **C2C is not available** Job Description ***Only qualified Senior Data Scientist candidates located near Toronto, Canada to be considered due to the position requiring an onsite presence. *** Required Education Bachelor’s degree in Data or Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a similar field. Preferred License/Certification Recognized Data Science-related certifications are a plus. Required Skills, Experience, & Abilities Python and SQL coding skills. Experience building machine learning and statistical models. Experience building scalable data pipelines using PySpark. Experience building machine learning models in Python and working with large-scale distributed data processing frameworks such as Apache Spark and Hadoop. Experience with data management and data mining using SQL, including performance optimization, data pipeline development, and quantitative analysis. Previous work experience in data science, ideally in the payments or cybersecurity-related industry. Excellent quantitative, technical, and communication skills. Ability to translate client and stakeholder needs into technical analyses and/or solutions. Ability to communicate results and business impacts of analytical initiatives to senior leadership and stakeholders. Ability to collaborate with diverse stakeholders across product, engineering, marketing, operations, and legal. Self-motivated, curious, and able to operate with a sense of urgency. Desired Skills, Experience, & Abilities Experience with cloud platforms such as AWS. Familiarity with the payment card industry, fraud, and cybersecurity. Familiarity with web crawling and scraping using Playwright or other frameworks. Strong presentation skills and an incisive understanding of customer needs. Role Services within client is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. The organization provides value-added services and leverages expertise, data-driven insights, and execution. The Cyber Analytics team within the Security Solutions Data Science organization is seeking a highly skilled and motivated Senior Data Scientist to drive advanced analytics initiatives, improve fraud detection capabilities, and support strategic decision-making across cybersecurity and payment fraud domains. The role involves developing innovative data-driven analytical solutions, including predictive models and machine learning algorithms, using large volumes of data across products, markets, and services. The position requires strong Python, SQL, machine learning, statistical modeling, and PySpark capabilities, along with the ability to collaborate across product, engineering, operations, marketing, and legal functions. The Senior Data Scientist will translate stakeholder needs into technical solutions and clearly communicate analytical results and business impact to senior leadership and other stakeholders. Responsibilities Lead data science projects focused on cyber analytics and fraud detection to guide strategic decisions and uncover optimization opportunities. Build, develop, and maintain predictive models, machine learning algorithms, and other data-driven analytical solutions using large volumes of data. Support analytics and reporting needs across products, markets, and services. Identify compromised payment accounts through internal and external data feeds. Scan payment activity at merchant locations for anomalies. Track common points of purchase associated with compromised cards. Assess additional data sources for potential value. Collaborate with product, engineering, and operations teams to deliver scalable solutions. Translate client and stakeholder needs into technical analyses and solutions. Communicate analytical results and business impacts to senior leadership and stakeholders. **Only those lawfully authorized to work in the designated country associated with the position will be considered.** **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.** Benefits For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website. California Pay Equity For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here. Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances. If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department. Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).

What you’ll do

Lead data science projects focused on cyber analytics and fraud detection to guide strategic decisions. Develop and maintain predictive models and machine learning algorithms using large-scale distributed data processing frameworks.

Requirements

Requires a Bachelor's degree in a quantitative field and 4+ years of experience in Python, SQL, PySpark, and machine learning. Experience in fraud detection, cybersecurity, or payment analytics is essential.

Listed skills

• SQL · Preferred
• Machine learning · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Banking/Financial
• Fraud Detection
• Machine Learning
• PySpark
• Python
• SQL
• Statistical Modeling
• Data Pipelines
• Cybersecurity
• Payment Analytics
• Apache Spark
• Hadoop
• Data Mining
• AWS
• Web Crawling
• Playwright

Job areas

• Data & Analytics
• Technology
• Finance & Accounting
• Security & Safety
• Engineering