Lead Data Scientist - Finance Tech
Core
Building and training production-ready ML models on large-scale datasets to solve business challenges in finance, utilizing deep learning, NLP, LLMs, and generative AI for summarization, forecasting, and anomaly detection.
Role type
Lead Data Scientist (Finance Tech)
Builds
Production ML models, data models, and AI solutions for finance processes
Domain
Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, advanced analytics, regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP, LLMs, generative AI, agentic workflows, Python, SQL, Scala, statistical methods, data mining, data transformation, text mining, data visualization
Preferred skills
Financial services domain experience, cloud environment ML model building, big data platforms (Hadoop)
Technologies
Python, SQL, Scala, Hadoop, LLMs, Generative AI
Responsibilities
Build and train production-ready ML models on large-scale datasets, run data modeling experiments and benchmark results, design data models to improve quality, present proposed solutions to senior stakeholders, partner with business users to identify ML opportunities, lead and manage a global team of data scientists and data engineers
Seniority
Lead, hands-on IC with team management
