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Data Scientist - Senior Manager- Consulting

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: EY
Full Time position
Listed on 2026-05-25
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist - Senior Manager- Consulting - Location OPEN

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

AI and Data – Data Scientist – Senior Manager

EY delivers unparalleled cross‑functional tech consulting services in artificial intelligence, big data and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to bring solutions to our clients.

As part of that, you'll sit side‑by‑side with clients and diverse teams from EY to create a well‑rounded approach to advising and solving challenging problems, some of which have not been solved before. Come help define the future of AI.

The opportunity

EY is significantly investing in our award‑winning AI & Data practice. We are looking for a Senior Manager, Data Scientist to be a senior technical leader across our most important AI bets driving applied research, leading multi‑disciplinary teams, and shaping how EY designs, builds, and scales AI solutions for our clients.

Your work will span agentic AI, foundation‑model applications, retrieval and grounding, knowledge representation, machine learning, optimisation, and the broader analytics landscape. A current strategic focus is the cognitive harness and memory layer that powers our agentic offerings and you will play a leading role there but the role is intentionally broader. You will move across problem spaces as our practice and our clients’ priorities evolve, and you will help define which problems we tackle next.

This is a high‑visibility, high‑impact role at the intersection of applied research, engineering, and client delivery. You will be hands‑on, you will publish, you will prototype and productise, and you will mentor a other data scientists and ML engineers tackling the hardest problems in EY’s AI portfolio.

Your

Key Responsibilities

As a Senior Manager, Data Scientist, you will be a hands‑on technical leader who shapes the data‑science agenda across multiple work streams. You will own technical direction, experimentation, and the path from prototype to production for the problems you take on. You will be expected to build, not just design and to lift the bar of the team around you.

  • Lead data‑science strategy and execution across multiple AI work streams including agentic AI, the cognitive harness, memory and grounding, foundation‑model applications, machine learning, optimisation, and applied analytics.
  • Drive the applied‑research and experimentation agenda long‑context vs. retrieval trade‑offs, hybrid search, reranking, evaluation design, model selection, fine‑tuning, and emerging techniques as the field evolves.
  • Design and contribute to the build of core platform components including elements of EY’s cognitive harness (memory services, retrieval pipelines, grounding layers, evaluation harnesses) and other reusable AI capabilities.
  • Establish evaluation and quality frameworks for AI systems retrieval and grounding fidelity, hallucination rate, model accuracy, latency, cost, fairness, and continuous evaluation in production.
  • Lead and mentor data scientists and ML engineers set the technical bar, run design reviews, and grow rigor in experimentation, model selection, and production readiness.
  • Partner with sector and functional teams (Finance, Risk, Tax, Supply Chain, HR, Operations) to translate business problems into rigorous, deliverable data‑science programs.
  • Engage with clients on complex AI problems shape the technical approach, defend it in front of senior stakeholders, and own delivery quality.
  • Stay abreast of AI technology trends and provide directional guidance and recommendations around models, frameworks, tools, and patterns that fit our clients’ existing ecosystems.
  • Apply combined business and technical knowledge to…
Position Requirements
10+ Years work experience
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