Intermediate Banking Campaign Data Scientist - design, development, and implementation of actionable machine learning models and analytics solutions - 9586

Position Title: Senior Data Scientist

Line of Business: Business Intelligence - reporting and forecasting for Finance Office - deriving insights from data

Target Start Date: January 5, 2026

Contract Duration: 6 months

Remote/Hybrid: Hybrid - Mon Tues in Office

Location Address: 81 bay Street

Project: The Team is looking for a Data Scientist that has built data modeling for other corporations. You’ll be supporting the Business Intelligence Director in the Investor’s Edge (IE) division. You’ll lead the design, development, and implementation of actionable machine learning models and analytics solutions which help in strengthening the competitive advantage for IE. You’ll collaborate with sales, marketing, product and operation teams to identify and address business needs by leveraging your machine learning abilities.

Job Description:

Customer segmentation and Predictive modeling - Utilize expertise in Statistical and Machine Learning to develop supervised and unsupervised predictive models for client segmentation and predictive use cases. Mine and analyze data from company databases and provide insights to drive optimization of product development, marketing techniques and business strategies.

Data Science Expertise - Implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient. Ability to conduct large scale self-directed research and AI experimentation to develop artificial intelligence models to meet the needs of the organization.

Data Management - Work collaboratively with partners to augment/acquire internal and external data and tools. Contribute to the development and management of data sourcing process. Perform data exploration and integration. Ensure the accuracy and integrity of data. Develop strategies that ensure data accuracy, consistency, timely capture and standardization at the various levels. Design solutions to support optimization and automation of processes and reporting.

Digital Analytics & Business Insights - Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Prepare presentations that clearly and concisely communicate key findings and objectives.

Campaign design and management - Responsible for pre-campaign analysis, understanding key customer journeys and segments across digital channels to provide recommendations on how to personalize and optimize cross channel strategy to improve customer engagement and drive sales.

Business Consulting - Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.

Must haves:

1. Master’s Degree in AI or Data Science

2. 3-5 Years Experience in a corporate environment as a Senior Data Scientist

3. Experience with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, PySpark).

4. Must have experience coding in high level programming languages such as Python or PySpark.

5. Customer segmentation and Predictive modeling - Utilize expertise in Statistical and Machine Learning to develop predictive models for customer segmentation and targeted

Nice to have:

1. Extensive experience with PySpark is desired.

2. Previous FI experience