Senior Data Scientist – GenAI

🕒 February 10

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

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/Computer 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. • Proficient with tools: Python (pandas, numpy, scikit-learn, PySpark), SQL, JavaScript/Node.js, IBM Watson Assistant/Watsonx, Azure OpenAI, OpenAI, Hugging Face, spaCy, transformers, Rasa (preferred), 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.

🏖️ Benefits

• Visit go.ey.com/beneficios to learn about our benefits • Flexible working environment • Diverse and inclusive culture • Globally connected teams