Description

Lead data science efforts within Risk Intelligence, focusing on digital identity and fraud detection.

This role is on-site.

Responsibilities

• Research and identify AI, LLM, and Machine Learning methods to solve specific risk intelligence problems.
• Implement new methods and devise test plans to validate and compare different algorithmic approaches.
• Analyze complex datasets and design algorithms to detect and prevent financial crimes.
• Explore existing data for insights and recommend new data sources for model improvement.
• Contribute to the design of Client, AI, and Data infrastructure.

Required Skills

• 10+ years of industry experience in data science (non-computer vision).
• 5 years of proven track record applying AI, Client, and NLP.
• Advanced degree in Computer Science, Statistics, Technology, or Engineering.
• Proficiency in Python, Java, and R.
• Deep understanding of Data Science Theory, LLMs, Client, NLP, and statistical methodologies.
• Ability to manage the end-to-end lifecycle from data extraction to implementation and validation.
• Experience with search engines, web scraping, data classification algorithms, and recommendation systems.

Preferred Skills

• Experience with relevance evaluation methodologies.

Key Skills

Education

Advanced degree in Computer Science, Statistics, Technology