AI Data Scientist

Overview

AI Data Scientist to build and deploy AI-powered data products and end-to-end model pipelines for predictive modeling in finance.

What you'll do

• Build AI-powered data products using ML models, large language models, and modern AI tools.
• Design, train, fine-tune, evaluate, and deploy in-house AI/ML models using proprietary and external datasets.
• Develop end-to-end model pipelines across data preparation, feature engineering, training, validation, deployment, and monitoring.
• Apply generative AI and LLM techniques for summarization, classification, knowledge extraction, semantic search, and workflow automation.
• Translate business problems into scalable AI solutions with product, engineering, and business teams.
• Evaluate and integrate third-party AI tools, APIs, open-source models, and internal models where appropriate.
• Define performance metrics, run experiments, conduct error analysis, and improve model quality.

What you'll need

• PhD in Computer Science with specialization in AI or machine learning.
• Strong programming skills in Python and SQL.
• Strong publication record in top-tier machine learning conferences.
• 3+ years of experience as a Data Scientist or similar role.
• Experience working with large data sets for predictive modeling.
• Strong oral and written communication skills.
• Commitment to the highest ethical standards.

Nice to have

• Financial industry experience (preferred but not required).