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Senior Business Data Scientist, Agentic AI, Finance

Google

Recently Verified
Data ScienceCorporate FinanceSenior (6-10 yrs)On-siteBig Tech

A unique opportunity for senior data scientists to build agentic AI systems that automate and transform corporate finance processes at one of the world's most advanced AI companies.

AI → Finance

Location

Chicago, IL

Salary Range

$163,000 – $237,000

Posted

Mar 20, 2026

Insider Signals

Beta

Company AI Context

AI Maturity

leader

Tech Stack

pythontensorflowvertex-aibigquerygoogle-adkgemini

Recent News

Google is deploying agentic AI across internal operations including Finance, with dedicated teams building autonomous workflows using its Agent Development Kit (ADK).

Build end-to-end agentic AI solutions that transform Google Finance processes — designing autonomous workflows for financial analysis, reporting, and decision-support.

## About the Role As a Senior Business Data Scientist on Google's Finance Agentic AI team, you will build end-to-end AI/ML and agentic solutions that transform finance processes across the organization. You'll design and deploy agentic workflows that automate complex financial analysis, reporting, and decision-support tasks. ## Responsibilities - Design, build, and deploy agentic AI solutions to transform Google Finance processes - Develop end-to-end AI/ML pipelines including data engineering, model development, and production deployment - Build agentic workflows using frameworks like ADK, incorporating context management and prompt engineering - Partner with Finance stakeholders to identify high-impact automation and intelligence opportunities - Evaluate and iterate on model performance, conducting rigorous A/B testing and impact analysis - Communicate findings and recommendations to senior leadership ## Requirements - Master's degree in a quantitative discipline (Statistics, Economics, Computer Science, or related field), or equivalent practical experience - 5 years of experience in data science, machine learning, or quantitative analysis - Experience building agentic workflows (agent development kits, context management, prompt engineering) - Proficiency in Python and SQL, with experience in ML frameworks (TensorFlow, PyTorch) - Experience with large language models and generative AI applications ## Preferred Qualifications - PhD in a quantitative field - Experience in financial services or corporate finance domains - Experience with Google Cloud AI/ML tools (Vertex AI, BigQuery ML) - Track record of deploying production ML systems at scale

Skills & Technologies

Agentic AIMachine learningPythonSQLLLM applicationsPrompt engineeringFinancial analysis automation

Best Backgrounds

  • ML engineer
  • data scientist
  • AI research engineer
  • NLP engineer

Related Titles to Explore

  • AI/ML Engineer, Finance
  • Applied Scientist, Financial AI
  • ML Platform Engineer
  • Senior Data Scientist, Automation

Career Bridge Playbook

Beta

Career paths into this role

Senior Data Scientist
ML Engineer
Applied Scientist
AI Research Engineer

Where this role leads

Staff Data Scientist
Principal Data Scientist
Head of AI, Finance
Director of AI Applications

Transition Difficulty

medium

Key Skill Gaps to Close

  • corporate finance domain knowledge
  • agentic workflow design
  • financial reporting context
  • enterprise AI deployment

Skills used in this role

Technical

agentic-aimachine-learningpythonsqlllm-applicationsprompt-engineeringtensorflowpytorch

Domain

corporate-financefinancial-analysisprocess-automationreporting-automation

Soft Skills

stakeholder-managementexecutive-communicationcross-functional-collaboration

Interested in this role?

Apply directly on the company's career page.

Apply Now

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