Senior Data Scientist

Capgemini

Toronto, CA
Base: 95,000 - 100,000 cad; bonus/equity: not spec...
On-site
Machine learning models
Quantitative and statistical analyses
Data visualizations and dashboards
Develop test and deploy predictive machine learning models to support business use cases such as customer behavior risk assessment fraud detection and operational optimization

Job Summary

  • Develop test and deploy predictive machine learning models to support business use cases such as customer behavior risk assessment fraud detection and operational optimization.
  • Collaborate closely with business technology and data engineering teams to translate business requirements into analytical solutions.
  • Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

Matching Summary

Develop test and deploy predictive machine learning models to support business use cases such as customer behavior risk assessment fraud detection and operational optimization.

Salary

Base: 95,000 - 100,000 CAD; Bonus/Equity: Not specified; Benefits: Comprehensive package

Skills & Requirements

Must-have

  • machine learning models
  • quantitative and statistical analyses
  • data visualizations and dashboards
  • Python (pandas, NumPy, scikit-learn)
  • SQL and big data platforms
  • data governance and privacy

Nice-to-have

  • banking or financial services experience
  • cloud platforms (AWS, Azure, GCP)
  • model explainability and bias detection
  • responsible AI practices

Key Requirements

  • Bachelors or Masters degree
  • Strong hands on experience in machine learning
  • Proficiency in Python or R
  • Experience with large datasets using SQL and big data platforms
  • Solid understanding of data visualization tools

Work Rights

Not specified

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