# Data Scientist – Generative AI

**Company**: Argus Media
**Location**: São Paulo
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://careers.argusmedia.com/jobs/8676296-data-scientist-generative-ai?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9d4ce641-841

## Description

Join our Generative AI team at Argus Media to help shape how AI is used across the organisation.

We are looking for a Data Scientist with hands-on experience developing Generative AI applications.

Working alongside other data scientists and engineers, you will help develop customer-facing GenAI solutions and the data capabilities that underpin them.

A key initial focus will be helping make Argus content and data AI-ready, and developing the retrieval, evaluation, and agentic capabilities needed to use that data effectively in AI-powered products.

You will also contribute to the wider development of GenAI capabilities as our technology and use cases evolve.

**Responsibilities**

As part of a multidisciplinary GenAI team, you will:

- Help develop and improve GenAI capabilities used in Argus products, combining LLMs, retrieval, data, and agentic approaches to solve real customer problems.

- Transform, enrich, and structure Argus content and data so that it can be effectively understood and used by AI systems.

- Develop and improve semantic, vector, and hybrid retrieval capabilities across Argus content and data.

- Develop agentic applications and workflows using LangChain and LangGraph, combining tools, retrieval, and LLM reasoning.

- Help develop APIs, MCP tools, and other reusable capabilities that allow AI agents to interact reliably with data and services.

- Evaluate and improve the quality and reliability of GenAI systems, including retrieval, tools, and agent behaviour.

- Develop high-quality Python components, services, and data pipelines, applying good software engineering practices.

- Work closely with data scientists, engineers, editorial, product, and business teams to develop scalable GenAI solutions.

**Requirements**

- Strong Python skills, with hands-on experience developing Generative AI applications.

- Practical experience using LangChain and/or LangGraph to build LLM-powered applications or agentic workflows.

- Practical experience with RAG, semantic search, embeddings, vector databases, and modern retrieval techniques.

- Experience integrating LLMs with data, tools, or external services.

- Experience working with and preparing structured or unstructured data for effective use by AI systems.

- An understanding of approaches for evaluating and improving LLM, retrieval, or agentic systems.

- Practical experience with cloud platforms such as Azure, AWS, or Google Cloud and technologies such as Docker.

- Strong problem-solving, communication, and collaboration skills.

Experience with Model Context Protocol (MCP), GraphRAG, or knowledge graph-based retrieval, entity resolution, or LLM evaluation would be an advantage.

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## Skills

### Required
- Python
- Generative AI
- LangChain
- LangGraph
- RAG
- semantic search
- embeddings
- vector databases
- LLMs
- Docker
- Azure
- AWS
- Google Cloud

### Nice to have
- Model Context Protocol (MCP)
- GraphRAG
- knowledge graph-based retrieval
- entity resolution
- LLM evaluation

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Source: [Apply at careers.argusmedia.com](https://careers.argusmedia.com/jobs/8676296-data-scientist-generative-ai?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)