Senior Data Science and GenAI Specialist

Job not on LinkedIn

🕒 February 11

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

🏥 Healthcare

⚖️ Legal

📣 Marketing

Healthcare • Legal • Marketing

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• Develop end-to-end AI solutions from discovery through deployment and monitoring, including modeling (NLP/ML/LLMs), APIs and integrations. • Design and evolve chatbots and conversational channels using NLP/NLU, driving continuous improvement. • Build integrations via APIs/JSON, microservices and event-driven architectures, and implement MLOps with pipelines, versioning and observability. • Analyze conversational data and recommend actions based on KPIs, ensuring quality through testing and validation. • Work in agile methodologies, collaborating with business, design, engineering and security teams.

🎯 Requirements

• Degree in Statistics, Mathematics, Computer Science/Engineering, Information Systems, Industrial Engineering or related technology fields. • Experience applying AI/ML/GenAI in domains such as Customer Service and Conversational AI, Risk, Credit, Collections, Fraud & AML, Personalization, Next Best Action/Offer, Operations & Efficiency. • Experience in the financial sector (banking, payment processing, insurance, acquiring) or in consulting serving financial services clients. • Proficiency with tools: Python (pandas, numpy, scikit-learn, PySpark), SQL, JavaScript/Node.js, IBM Watson Assistant/Watsonx, Azure OpenAI, OpenAI, Hugging Face, spaCy, transformers, Rasa (desirable), FAISS, Azure AI Search, PGVector, MLflow/Databricks, SageMaker, Vertex AI, Azure ML, Docker, Kubernetes, CI/CD, Spark/Databricks, Airflow, Kafka/Event Hubs, REST/JSON APIs, webhooks, microservices, Excel, Power BI, VS Code, Git/GitFlow, Jira/Confluence. • Knowledge of LLMs & RAG (embeddings, vectorization, evaluation, security/guardrails), Feature Stores, Experiment Tracking, and model observability. • Advanced English. • Cloud certifications (Azure/AWS/GCP) are a plus.

🏖️ Benefits

• Visit go.ey.com/beneficios to explore our range of benefits.