Senior Data Scientist

Giesecke+Devrient•Montreal, QC

34d

About The Position

Giesecke+Devrient is a globally leading SecurityTech company. We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D’s new AI Hub. The ideal candidate will combine strong expertise in machine learning, statistical modeling, experimentation, and business problem solving with the ability to translate complex enterprise challenges into scalable AI solutions that deliver measurable impact. The role is designed to deliver immediate value through operational efficiencies and intelligent decision support, while simultaneously contributing to the development of differentiated AI capabilities and products within the SecurityTech domain. This role contributes directly to G+D’s enterprise-wide AI transformation and strategic value targets. As part of G+D’s global AI transformation, the Senior Data Scientist will collaborate closely with AI Engineers, ML Engineers, Data Engineers, product and project managers, and executive stakeholders to unlock enterprise-wide value through data science and machine learning. This role will function within a global matrix organization and report into the AI Hub leadership.

Requirements

Five (5)+ years of experience in Data Science, Machine Learning, or Advanced Analytics, with proven experience delivering enterprise-scale AI or ML initiatives
Strong expertise in machine learning, statistical inference, predictive modeling, experimentation / A/B testing, causal inference, forecasting, optimization, and anomaly detection
Hands-on experience with Python, pandas, NumPy, scikit-learn, and SQL
Strong understanding of cloud-native data and AI platforms

Nice To Haves

Experience with one or more of: PyTorch, TensorFlow, XGBoost, LightGBM, time series forecasting frameworks
Experience working in regulated industries is a plus
French speaking is an asset

Responsibilities

Own data science initiatives end-to-end from problem framing through production deployment and performance monitoring
Design, develop, and validate machine learning models, predictive models, and advanced analytical solutions
Perform exploratory data analysis, feature engineering, and model performance evaluation
Develop statistical, forecasting, classification, anomaly detection, optimization, and causal inference models
Establish experimentation and A/B testing frameworks to measure business impact
Support the development and deployment of AI solutions across internal workflows and customer-facing products
Work closely with engineering teams to productionize models and analytical pipelines
Ensure solutions are scalable, reusable, and aligned with enterprise standards
Contribute to the integration of models into enterprise data and AI platforms
Ensure responsible AI practices including explainability, bias checks, traceability, and validation
Support model monitoring, drift detection, and lifecycle governance
Ensure compliance with global data privacy, security, and regulatory standards
Contribute to documentation and auditability standards for production AI systems
Partner with business unit leaders and functional teams to identify and prioritize high-value use cases
Translate business challenges into measurable analytical solutions
Present insights, model outputs, and recommendations to technical and non-technical stakeholders
Influence the direction of AI and data science initiatives through technical leadership and business partnership
Contribute to building a high-performing AI and Data Science capability within the AI Hub
Mentor junior team members and promote best practices
Foster a culture of experimentation, rigor, and collaboration
Promote knowledge sharing across global and local teams