Title:  Data Scientist, AML & Compliance

Requisition ID: 258540 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The primary purpose of this role is to support the Anti-Money Laundering (AML) and Compliance team by exploring advanced data analytics, machine learning, and artificial intelligence techniques. The Data Scientist will focus on developing and optimizing AI/ML models for a variety of tasks related to AML and compliance. Examples of tasks include feature engineering for model development, developing supervised and unsupervised models, visualizing data, and creating new analytics.

Is this role right for you? In this role, you will:

• Explore data and engineer features for model development
• Stay up to date on new topics in AI and machine learning
• Create supervised and unsupervised models in Python and/or Scala
• Create, test, and iteratively refine LLMs and Agentic AI solutions using agile development practices
• Analyze model outputs with a critical view toward model purpose and stakeholder feedback
• Provide technical expertise and support in the investigation and resolution of AML- and compliance-related issues, emphasizing AI model outputs
• Work collaboratively with a talented team of data scientists
• Communicate ideas and insights to peers, managers, and stakeholders
• Work closely with stakeholders to understand model objectives and seek out opportunities for improving processes

Do you have the skills that will enable you to succeed? We’d love to work with you if you have experience with:

• A Master’s or PhD degree in a STEM field, with experience on modelling projects and code development, OR
• A Bachelor’s degree in a STEM field, with experience on modelling projects and code development
• A minimum of 3–5 years of experience in data science or a related field, preferably within the financial services industry
• A strong understanding of advanced modelling techniques and underlying mathematical fundamentals
• Strong Python skills, with familiarity in core data science libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow
• A strong understanding of LLM fundamentals, limitations, and refinement techniques; familiarity with LLM and agentic AI frameworks is a strong asset
• Version control familiarity
• Working knowledge of containerization (Docker, Kubernetes) and CI/CD workflows is an asset
• Linux, Spark, and HDFS experience are strong assets
• Knowledge of Money Laundering, Trading, and Crime are strong assets

What's in it for you?

• Champion a high-performance environment and contribute to an inclusive work environment.
• The opportunity to join a forward-thinking organization where you are surrounded by a collaborative team of innovative thinkers.
• A competitive compensation and comprehensive benefits plan.
• An organization committed to making a difference in our communities - for you and our customers.
• You can expect to be recognized and rewarded for high-performance; you will be supported by leadership through meaningful development conversations that enable faster advancement and internal training to support your growth and development.

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.