Senior Data Scientist

We are seeking an experienced Data Scientist to take ownership of customer risk-scoring models and exploratory risk analysis. In this role, you will analyze complex behavioral data, conduct deep-dive investigations, and construct statistical models to protect both the business and its users.

Responsibilities

• Design, evaluate, and iteratively refine predictive models targeting AML and Safer Gambling risk indicators.
• Conduct exploratory data analysis and targeted investigations to identify behavioral anomalies and emerging risk patterns.
• Partner with compliance and operational risk teams to translate risk domain insights into practical model features.
• Clearly communicate analytical methodologies, model evaluation results, and strategic insights to non-technical stakeholders.

Requirements

• 5+ years of professional experience in a Data Scientist role.
• Strong technical proficiency in Python and SQL for complex data extraction, feature engineering, and statistical modeling.
• Practical expertise in building and evaluating standard statistical and machine learning models (e.g., XGBoost, Linear/Logistic Regression).
• Strong analytical problem-solving skills with a background in model evaluation metrics and data-driven investigations.
• Effective verbal and written communication skills with the ability to articulate complex analytical concepts clearly.

Nice to have

• Prior experience in online gaming.
• Domain familiarity with Anti-Money Laundering (AML) regulations or Responsible/Safer Gambling frameworks.
• Basic conceptual understanding of model deployment pipelines (hands-on engineering deployment expertise is not required).