Data Scientist - AI/ML
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Key skills for this role
About the Role
Scotiabank is seeking a Data Scientist to join its Global AI/ML team, focusing on building and deploying AI/ML products using advanced LLMs for document understanding. The role requires expert-level Python, Gemini prompting, and experience with document AI.
Key Skills for This Role
Responsibilities
- Develop, test, and implement highly effective models optimized for specific document understanding tasks (e.g., data extraction, classification)
- Write and maintain high quality Python code to preprocess, process, and analyze large volumes of structured and unstructured documents
- Design, build, and rigorously evaluate specialized machine learning models for document understanding, ensuring accuracy, fairness, and scalability
- Collaborate with Data Engineers and software developers to develop and deploy document understanding solutions into production
- Stay up to date on latest advances in generative AI, Python coding libraries, machine learning best practices, and Document AI
- Support high impact analytical use cases across business lines, delivering AI/ML products that provide value to customers and the organization
- Collaborate with stakeholders to define and enforce machine learning and artificial intelligence best practices
- Understand how the Bank’s risk appetite and risk culture should be considered in decision making related to model development and deployment
Requirements
- Expert level proficiency in Python for data manipulation, statistical modeling, and pipeline development
- Proven hands on experience designing and optimizing prompts for advanced LLMs (specifically Gemini or comparable)
- Direct experience with document understanding tasks including unstructured text, OCR output, and information extraction
- Practical experience with ML/AI techniques including supervised, unsupervised, deep learning, and NLP
- Experience with big data tools such as SQL, Hadoop, and Spark
- Proven ability to ingest, clean, and work effectively with large volumes of structured and unstructured data
- Experience with DevOps principles and/or software engineering best practices (e.g., Git, CI/CD, Jira)
- University/Post graduate degree in a relevant STEM discipline
- Effective communication skills with ability to prepare clear project documentation and presentations
- Working knowledge of visualization tools such as Power BI
Full Job Posting
Overview
- Scotiabank is seeking a highly specialized and innovative Data Scientist to join our Global Artificial Intelligence and Machine Learning team.
- This role is central to building and deploying next generation AI/ML products across the bank’s business lines, focusing specifically on leveraging advanced Large Language Models (LLMs) to transform how we process, understand, and extract value from complex, unstructured documents.
- The ideal candidate will be an integral part of the organization’s AI/ML strategy, using cutting edge Gemini prompting techniques and robust Python coding to solve high impact business challenges.
Key Responsibilities
- Develop, test, and implement highly effective models optimized for specific document understanding tasks (e.g., data extraction, classification).
- Write and maintain high quality Python code to preprocess, process, and analyze large volumes of structured and unstructured documents, building robust data pipelines.
- Design, build, and rigorously evaluate specialized machine learning models for document understanding, ensuring accuracy, fairness, and scalability.
- Collaborate with Data Engineers and software developers to develop and deploy document understanding solutions efficiently and reliably into production environments.
- Stay up to date on the latest advances in generative AI, Python coding libraries, machine learning best practices, and the field of Document AI.
- Support high impact analytical use cases focused on supporting a wide variety of business lines, delivering AI/ML products that simultaneously provide value to customers and the organization.
- Collaborate with key stakeholders and partners to define and enforce machine learning and artificial intelligence best practices across the organization.
- Understand how the Bank’s risk appetite and risk culture should be considered in decision making related to model development and deployment.
Do you have the skills that will enable you to succeed in this role?
- Expert level proficiency in Python for data manipulation, statistical modeling, and pipeline development.
- Proven, hands on experience designing and optimizing prompts for advanced large language models (specifically Gemini, or comparable LLMs) tailored for structured document analysis.
- Direct experience with document understanding tasks, including working with unstructured text, OCR output, and information extraction from complex forms or contracts.
- Practical experience with ML/AI techniques, including supervised, unsupervised, and specifically deep learning and NLP methods.
- Experience with big data tools such as SQL, Hadoop, and Spark.
- Proven ability to ingest, clean, and work effectively with large volumes of structured and unstructured non traditional data.
- Experience with DevOps principles and/or software engineering best practices (e.g., Git, continuous integration/delivery, Jira).
- University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).
- Effective communication skills with the ability to prepare clear project documentation and compelling presentations.
- Ability to translate technical knowledge into tangible business value and collaborate effectively across technical and non technical teams.
- Working knowledge of visualization tools such as Power BI.
What’s in it for you?
- The opportunity to join a forward thinking company surrounded by a collaborative team of innovative thinkers at the forefront of AI implementation in finance.
- A rewarding career path with diverse opportunities for professional development and internal support to enhance your skills.
- A competitive compensation and benefits package.
- An inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
- An organization committed to making a difference in our communities—for you and our customers.
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