Description
Join our dynamic Group Functions AI team as an Associate Data Scientist, where you will play a crucial role in enhancing our Global Fraud Center of Excellence. We are seeking a motivated individual with expertise in Machine Learning (ML) modeling, Generative AI (GenAI) integration, and cloud computing. You will develop sophisticated AI models and leverage cloud technologies like Azure and Databricks to process large volumes of data efficiently. Your work will directly contribute to the security and integrity of our global financial services, collaborating with cross-functional teams to design and implement cutting-edge fraud detection AI tools.
Position Responsibilities:
- ML Model Development: Design and refine machine learning models for fraud detection, integrating GenAI techniques to enhance capabilities, with a focus on graph analytics and experience with graph databases like Neo4j being a plus.
- Cloud Computing: Utilize Azure Databricks and other cloud platforms to efficiently process large datasets, ensuring solutions are scalable and high-performing.
- Data Exploration: Conduct in-depth data exploration and preprocessing to identify patterns, trends, and anomalies within large-scale datasets.
- Innovation and Improvement: Stay updated on the latest developments in ML, GenAI, and data processing methods to continuously enhance our anti-fraud analytics.
- Scalable Coding: Implement scalable and performance-optimized coding practices for deploying ML models in cloud environments.
- Collaboration: Work closely with business partners to translate their requirements into code and with data engineers and ML engineers to integrate data science solutions into existing workflows.
- Communication: Clearly communicate complex technical concepts and findings in plain English to both technical and non-technical stakeholders.
Required Qualifications:
- Strong programming skills in Python and familiarity with PySpark/Spark SQL/SparkML.
- Experience with Generative AI techniques and cloud platforms, specifically Azure Databricks.
- Excellent communication skills and the ability to collaborate effectively with diverse teams.
- Strong problem-solving skills and the ability to think creatively.
- Advanced degree (Master's, or Ph.D.) in Computer Science, Data Science, Statistics, Engineering, or related fields.
Preferred Qualifications:
- 1-2 years of industry experience (including co-op) in data science with a focus on fraud detection.
- Experience building production ready models based on very large datasets containing millions of records.
- Experience in building Q&A bots or agentic solutions for automation.
- Resilient and adaptable to change, able to pivot based on outcome-driven or value-driven needs.
