Advanced Analytics Data Scientist

OVERVIEW We are seeking an Advanced Analytics Data Scientist to support distribution analytics within a financial services environment. This role combines data science, analytics, and business-facing communication to help sales and leadership teams make smarter, data-driven decisions.

This is a great opportunity for someone who enjoys working with large datasets, building predictive models, creating dashboards, and translating complex insights into clear recommendations for business stakeholders.

Location: Toronto, ON

Work Model: Hybrid, 2 days/week onsite

Contract Duration: 12 months, with possibility of extension or conversion

Hours: 37.5 hours/week

Hourly Rate: $73 T4 / $84 Incorporated RESPONSIBILITIES

• Use machine learning and advanced analytics to develop and test new sales strategies.
• Analyze large structured and unstructured datasets to identify patterns, trends, and business opportunities.
• Build predictive models and machine learning algorithms to support business decision-making.
• Partner with data engineers and business analysts to develop data pipelines, analytics tables, and reporting solutions.
• Create and maintain dashboards and visualizations, including Power BI.
• Assess opportunities to use AI/ML solutions to improve data processing and business insights.
• Present findings and recommendations to business leaders in a clear, practical way.
• Work closely with investment distribution, sales, analytics, and technology teams.
• Support broader analytics initiatives as needed.

QUALIFICATIONS

• 4 years of relevant data science, analytics, or advanced analytics experience.
• Strong SQL skills.
• Hands-on experience with Python, R, or SAS.
• Experience with data visualization tools, preferably Power BI.
• Strong data analytics and machine learning experience.
• Ability to work collaboratively across business and technical teams.
• Strong written and verbal communication skills.
• Comfortable working through ambiguity and translating data into business recommendations.
• Strong data-driven decision-making skills.

Nice-to-Have Qualifications

• Experience in banking, financial services, investment management, or financial sales analytics.
• Knowledge of financial markets or investment products.
• CFA designation or advanced degree in a relevant field.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.