Advanced Analytics Data Scientist
Company: Releady
Location: Toronto, ON
Type: Full-time
Posted: 2026-04-24
About this role
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 ...