Data Scientist – Business Intelligence & Predictive Analytics

  • Date Posted Nov 11, 2025
  • Location Toronto, ON
  • Job Type Contract
  • Job ID 18845

Are you a data-driven problem solver with a passion for transforming complex data into actionable business insights? This role offers an exciting opportunity to leverage advanced analytics, machine learning, and artificial intelligence to drive data-informed decisions and enhance customer engagement across multiple channels.

Working with one of our top financial clients, this role calls for a Data Scientist – Business Intelligence & Predictive Analytics who will design and implement predictive models, optimize marketing strategies, and uncover business opportunities through sophisticated data analysis. The ideal candidate will have strong technical expertise, excellent problem-solving skills, and the ability to translate data into strategic recommendations that drive measurable business outcomes.

Responsibilities:

  • Develop supervised and unsupervised predictive models for client segmentation and business use cases using advanced statistical and machine learning techniques.

  • Analyze large datasets to provide insights that guide product development, marketing strategies, and business optimization.

  • Implement and explore machine learning, deep learning, and AI methodologies to enhance analytical efficiency and effectiveness.

  • Conduct independent research and AI experimentation to develop innovative models tailored to organizational needs.

  • Collaborate with partners to source, integrate, and manage internal and external data, ensuring data accuracy, integrity, and standardization.

  • Lead the design and delivery of data analytics and visualization solutions, communicating key findings through clear and impactful presentations.

  • Design and execute campaign analyses, focusing on customer journeys, segmentation, and personalization across digital channels to improve engagement and sales.

  • Partner with stakeholders to identify business challenges, assess data credibility, and propose analytical solutions that create revenue and cost-saving opportunities.

  • Continuously enhance analytical processes through automation, optimization, and innovation.

  • Collaborate with cross-functional teams, sharing ideas and best practices to foster continuous learning and improvement.

Desired Skill Set:

  • Master’s Degree in Artificial Intelligence (AI) or Data Science.

  • 3–5 years of experience in a corporate environment as a Senior Data Scientist.

  • Proficiency with large datasets, both structured and unstructured, using tools such as SQL, Hive, and PySpark.

  • Strong coding skills in Python and PySpark.

  • Expertise in customer segmentation and predictive modeling to support targeted marketing and strategic initiatives.

Nice-to-Have:

  • Extensive hands-on experience with PySpark.

  • Prior experience within a financial institution (FI) or banking environment.

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