Senior Data Scientist at Scotiabank - ScoutJobs - The AI-curated global job board
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Scotiabank
Posted a day ago

Senior Data Scientist

ScotiabankSenior Data Scientist - Generative AI, ML & Agentic Systems

Requirements

Master's or Ph.D. in Data Science, Computer Science, or Statistics, Proven data science leadership experience, Extensive Python expertise (Scikit-learn, Pandas, NumPy), Strong SQL skills, Expertise in LLMs, fine-tuning, and prompt engineering, Experience with RAG architectures, Experience with Agentic AI frameworks, Knowledge of MLOps, Docker, and CI/CD, Experience with GCP or Azure

Skills

PythonLLMMachine LearningSQLGCPAzureMLOps

About the role

Responsibilities

  • Lead, mentor, and develop a high-performing team of data scientists, fostering a culture of innovation and collaboration.
  • Manage the end-to-end lifecycle of machine learning models, from feature engineering and selection to deployment and monitoring.
  • Drive the development of scalable agentic architectures and implement Large Language Models (LLMs) for diverse banking applications.
  • Determine the most effective AI/ML approaches for business problems, balancing traditional models with generative AI solutions.
  • Oversee the implementation of Retrieval Augmented Generation (RAG) architectures and conversational AI solutions.
  • Ensure all AI solutions comply with banking regulations and ethical standards, focusing on explainability, fairness, and responsible use.
  • Communicate complex technical findings and strategic recommendations to both technical and non-technical stakeholders.

Requirements

  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in a data science leadership role with a track record of delivering complex projects.
  • Extensive expertise in Python and core libraries such as Scikit-learn, Pandas, and NumPy.
  • Strong proficiency in SQL for data manipulation and querying.
  • Hands-on experience with LLMs, including fine-tuning, prompt engineering, and RAG architectures.
  • Experience with Agentic AI frameworks and designing multi-step reasoning processes.
  • Knowledge of MLOps principles, including Docker, Git, and CI/CD pipelines.
  • Experience working within cloud environments such as GCP or Microsoft Azure.

Preferred Qualifications

  • Familiarity with Microsoft Foundry or Google's Vertex AI.
  • Experience with ETL solutions and data mining/profiling.
  • Strong understanding of data privacy and security standards for sensitive customer data.

About the Company

Scotiabank is a leading bank in the Americas, dedicated to helping customers, families, and communities achieve success through a broad range of financial products and services. We value unique skills and are committed to maintaining an inclusive and accessible environment for all employees.

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Senior Data Scientist

Scotiabank · Toronto

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