EY

Data Scientist - Senior

JavaScriptPythonNode.jsSQLDockerKubernetes
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About the opportunity

Data Scientist - Senior

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 it to go.

Join EY and help us build a better business world.

About the opportunity

If you are passionate about innovation, artificial intelligence, and want to impact the financial sector with GenAI and Data Science solutions, this is your chance! At EY, you will have the opportunity to work on cutting-edge projects, collaborating with multidisciplinary teams and developing solutions that transform businesses, enhance results, and promote efficiency. Come be a protagonist in the technological revolution of the financial market!

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 4 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 numerous internal initiatives, support our constant pursuit of equity.

You will take on the following responsibilities

Develop end-to-end AI solutions, from discovery to deployment and monitoring, including modeling (NLP/ML/LLMs), APIs, and integrations. Design and evolve chatbots and conversational channels with NLP/NLU, promoting continuous improvement. Build integrations via APIs/JSON, microservices, and events, as well as implement MLOps with pipelines, versioning, and observability. Analyze conversational data and recommend actions based on KPIs, ensuring quality through tests and validations. Work in agile methods, collaborating with business, design, engineering, and security areas.

Minimum requirements

Requirements and skills we are looking for

  1. Degree in Statistics, Mathematics, Computer Science/Engineering, Information Systems, Production Engineering, or related technology fields.
  1. 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;
  1. Proficiency in the 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, APIs REST/JSON, webhooks, microservices, Excel, Power BI, VS Code, Git/GitFlow, Jira/Confluence.

Discover some of our benefits: Health and dental insurance, Childcare assistance, Benefits platform and exclusive discounts EY, Education incentives, Birthday off, Gympass/Wellhub, Profit Sharing (PLR), Private pension plan, Meal Voucher and/or Transportation Voucher, and much more

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