Data Scientist Jobs

About The Position

Requirements

• Strong Python expertise with experience in standard data science libraries and distributed data processing frameworks such as PySpark.
• Proven ability to design, deploy, and maintain machine learning models in production.
• Experience working with transactional or behavioural data at scale, with strong problem-solving ability in noisy, high-dimensional environments.
• Hands-on experience with distributed data platforms (e.g. Databricks) and ML lifecycle tools (e.g. MLflow).
• Highly autonomous and outcome-focused, with the ability to drive work independently while aligning with broader technical direction.
• Strong communication skills, with the ability to engage effectively across technical and non-technical stakeholders.
• Experience working in collaborative environments, including code reviews and cross-functional delivery.
• Pragmatic mindset focused on impact and reliability.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

Nice To Haves

• Experience in AML, fraud, or financial crime analytics.
• Familiarity with anomaly detection, behavioural modelling, or graph techniques.
• Exposure to model explainability, governance frameworks, or regulatory requirements in financial crime.

Responsibilities

• Lead the development and improvement of AML models focused on anomalous transaction behaviour in card payments.
• Own problems end-to-end, from problem framing and prototyping to production improvement.
• Influence modelling approaches and technical direction in collaboration with senior data science leadership.
• Analyse large-scale payments data to identify patterns linked to illicit activity.
• Drive improvements in model performance, stability, explainability, and scalability.
• Partner with Engineering and Product teams to ensure effective deployment and maintenance in production.
• Produce and maintain clear model documentation, including assumptions, limitations, and performance characteristics.
• Contribute to technical standards and best practices.
• Ensure all work aligns with regulatory, privacy, and security requirements.

Benefits

• competitive pay based on location, experience and other qualifications for the role
• may be eligible to participate in a discretionary annual incentive program