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Artefact

Data and AI-driven business transformation consulting

Data Scientist - AI

Data SciencePosted on Nov 4
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • A degree in progress or completed in data science, machine learning, mathematics, computer science, statistics, engineering, economics, or a related field.
  • Zero to two years of experience; internships, academic projects, and personal projects count.
  • Strong Python for data work, including pandas, NumPy, and scikit-learn, plus basic practices such as functions, simple tests, and virtual environments.
  • SQL and fundamentals of statistics and machine learning, including regression, trees or XGBoost, and clustering.
  • Familiarity with REST APIs, including consuming APIs and ideally creating a simple API with FastAPI.
  • Practical initial exposure to LLMs through APIs, including prompting, structured output, and basic embeddings and RAG.
  • Demonstrated record of delivering well-executed work with development quality and reliable deliverables.
  • Demonstrated readiness to learn in a fast-changing environment requiring substantial study.

Responsibilities

  • Work with consultants, data scientists, and engineers to identify client needs and define innovative solutions.
  • Implement components of end-to-end solutions with support from senior colleagues, including data pipelines, machine learning models, LLM API integrations, RAG flows, agent tools including MCP connectors, and Python APIs.
  • Contribute across project value chains, including data collection and processing, exploratory data analysis, applying machine learning models, and putting models into production.
  • Write clean, testable code, version it using Git, participate in code reviews, and document decisions.
  • Prioritize tasks, meet deadlines, and raise risks or problems.

Desired Qualifications

  • A personal, academic, or open-source project involving RAG, agents, or tool calling, such as LangChain or LangGraph, and curiosity about MCP.
  • Exposure to at least one cloud or platform, such as Databricks, Azure, GCP, or AWS, and Docker.
  • Familiarity with MLOps, such as MLflow, and PySpark.
  • A GitHub portfolio.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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