This is a hands-on team that will define how Finance operates in the AI era, using AI and data to make Finance faster, smarter, and more efficient
Job Summary
This is a hands-on team that will define how Finance operates in the AI era, using AI and data to make Finance faster, smarter, and more efficient.
You’ll help tackle Finance’s most important challenges by using LLMs, GenAI, and NLP to understand contracts, build AI agents, create forecasting models, and automate business processes.
This is a rare opportunity to build AI capabilities from the ground up inside a large, global organization, with the freedom to build and experiment and the ability to see your work used by real Finance teams.
Matching Summary
This is a hands-on team that will define how Finance operates in the AI era, using AI and data to make Finance faster, smarter, and more efficient.
Skills & Requirements
Must-have
Python, machine learning, AI engineering
GenAI, LLMs, RAG, agentic AI
NLP and predictive models
Databricks data workflows
Prompt engineering fundamentals
Finance datasets or ERP data
Nice-to-have
Builders, problem solvers
Curiosity, adaptability, drive
Collaborate with global stakeholders
Iterate quickly, improve based on feedback
Key Requirements
5-8 years analytics, data science, BI
5 years leadership or lead role
Delivering analytics/automation for Finance/FP&A
Knowledge of finance data domains
Strong skills in Power BI, Databricks, Microsoft Fabric
Familiarity with AI/ML frameworks
Azure AI Engineer or Data Science Professional certifications are a plus