Compensation: $, - , plus up to $20, bonus, capped at % Job Summary Giesecke+Devrient is a globally leading Security

Tech company.

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+Ds new AI Hub.

The ideal candidate will combine solid 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 Security

Tech domain.

This role contributes directly to G+Ds enterprise-wide AI transformation and strategic value targets.

As part of G+Ds 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.

Primary Responsibilities Own data science initiatives end-to-end from problem framing through production deployment and performance monitoring Data Science & Machine Learning Development 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 AI Product Development & Delivery 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 Governance, Ethics & Compliance 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 Stakeholder Engagement 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 Team Building & Leadership 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 Qualifications, Experience and Educational Requirements Work Experience: Five + years of experience in Data Science, Machine Learning, or Advanced Analytics, with proven experience delivering enterprise-scale AI or ML initiatives Skills and Competencies: 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, Num

Py, scikit-learn, and SQL Experience with one or more of: PyTorch, Tensor

Flow, XGBoost, LightGBM, time series forecasting frameworks Strong understanding of cloud-native data and AI platforms Experience working in regulated industries is a plus French speaking is an asset Education: PhD or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field preferred

📌 Senior Data Scientist (Montreal)
🏢 Giesecke+Devrient
📍 Montreal