AI Data Scientist

Position Summary

The AI Data Scientist will own the modeling and statistical lifecycle of enterprise AI initiatives. The role will partner with business operations to structure financial data, build predictive models, and ensure AI investments deliver high-accuracy insights that reduce risk and improve decision-making. The role requires a rigorous quantitative expert who can balance complex statistical analysis with strict financial regulatory standards and drive alignment across business and technology teams.

Key Responsibilities

Develop and train advanced predictive models for anomaly detection, workflow forecasting, and risk mitigation

Perform deep statistical analysis and data wrangling within large-scale enterprise environments

Validate model accuracy rigorously, test for bias, and ensure all outputs meet strict financial compliance standards

Partner with business leaders to understand the nuance of financial data and transform raw inputs into training datasets

Establish KPIs tied to model accuracy, prediction precision, and false-positive reduction

Qualifications

5+ years of experience building and validating predictive models in a corporate or financial environment

Demonstrated ability to apply advanced statistics and machine learning to deliver measurable business outcomes

Deep expertise in statistical analysis, Python, R, and data science frameworks

Ability to work effectively with operational teams to understand data context without needing constant translation

Strong understanding of financial datasets and the regulatory constraints surrounding automated decision-making

Ability to present complex quantitative findings to non-technical stakeholders

Operator mindset with a focus on execution and analytical outcomes