Pavago
EY
Senior Data Scientist - Talent Pool
About the opportunity
Senior Data Scientist
At EY, we are committed to shaping your future with confidence. We will help you succeed in a globally connected environment, full of diverse teams, and take your career wherever you want to go. Join EY and help us build a better business world.
About the opportunity
In Financial Services (FSO), we are building a better business world by supporting the needs and challenges of our clients in the financial segment (Capital Markets, Banking, Insurance, and Asset Management) through a single area/service line that unites our different specialties (Audit, Consulting, Technology, etc.) to serve this sector comprehensively and customized. #FSOEY
What we offer
At EY, you will develop future-oriented skills and gain world-class experiences. We will empower you in a flexible environment and enhance your extraordinary talents in a diverse and inclusive culture, with globally connected teams.
For the 4th consecutive year, EY is on the Great Place to Work list as one of the best companies to work for, with a focus on diversity categories. You can be part of our programs and groups that, along with countless internal initiatives, support our constant pursuit of equity.
You will take on the following responsibilities
As a Senior Data Scientist, you will be a key player in defining AI architectures, leading strategic GenAI projects with high impact and visibility. You will act with technical autonomy, building and operating agents on cutting-edge platforms, defining LLMOps and Responsible AI standards and strategies, as well as mentoring the team and conducting applied innovation POCs. Your role will be fundamental to elevating the technical level and driving digital transformation in the financial sector.
- Design AI architectures: RAG + agents + tools + evals + guardrails
- Build and operate agents on platforms such as IBM watsonx Orchestrate and/or Microsoft AI Foundry
- Define technical standards and best practices for the area
- Evaluate model trade-offs (proprietary vs. open, cost, latency, quality, governance)
- Lead high-complexity and high-impact projects
- Define LLMOps strategy (observability, cost, continuous evals, drift)
- Define Responsible AI strategy and guardrails
- Mentor the team and elevate the overall technical level
- Conduct applied innovation POCs
Minimum requirements
Requirements and skills we are looking for
- Completed degree in Computer Science, Engineering (any), Information Systems, Mathematics, Statistics, Physics, or related fields
- Certification in IBM watsonx Orchestrate
- Certification in Microsoft AI Foundry
- MCP (Model Context Protocol) — integration of tools/context
- Open models
- Tools: IBM watsonx; IBM watsonx Orchestrate; watsonx.ai; watsonx Assistant; AI Foundry
- Technical English
Benefits
Meal Voucher and/or Food Voucher, Transportation Voucher, Health Plan, Dental Assistance, EY Benefits (EY's exclusive benefits platform), Corporate University and other Educational benefits, Gympass, PLR, and much more.
Would you like to shape your future with confidence? Apply today!
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Learn more about what it's like to work at EY:
Careers at EY
ey.com/pt_br/careers/what-its-like-to-work-here
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#GenAI #AIEngineer #LLM #DataScience #FSOEY #TechEY #ResponsibleAI #PromptEngineering #Python #Kubernetes #MLOps #Innovation #Inclusão #Diversidade #EYCarreiras
