Luza Tecnologia

A company integrated into the Cronos Group, with over 500 companies, 7,500 employees, 10,000 clients, and offices in 10 countries, this organization is a catalyst in translating new technologies into business solutions, always in close collaboration with the client. Luza specializes in Microsoft Modern Workplace, Dynamics 365, Azure, and Power Platform.
About company
This job is closed
This position is no longer accepting applications. Closed on January 13, 2026.

Data scientist

Remote

location Lisbon

date January 3, 2026

types Full-time

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Job Title: Data Scientist

Location: Lisbon, Portugal

Work Regime: Full-time & Hybrid (2x office days)

Overview / Summary:

We are looking for a Data Engineer to join our team and support the design, development, and optimization of scalable data solutions in a cloud-based environment. You will work with AWS, Python, and SQL to build reliable data pipelines, enable analytics initiatives, and contribute to a collaborative hybrid work setting.

Responsibilities and Tasks:

- Lead and design and develop Generative AI solutions, including transformer models, embeddings, and LLM-based pipelines.

- Build and optimize traditional ML models for multiple use cases, ensuring strong data preparation and feature engineering.

- Automate, version, deploy, and monitor data science pipelines using MLOps best practices.

- Communicate analytical results clearly and stay current with trends in AI, ML, and cloud technologies.

- Lead a growing team and support pre-sales activities, including proposal development.

Requirements

Mandatory Requirements:

- +4 years of previous experience as a Data Scientist, mainly leading roles.

- Experience with GenAI development projects (transformers, embeddings, prompt engineering).

- Experience with Advanced Data Science libraries and Python (NumPy, Pandas, visualize with Matplotlib and Seaborn, build models with Scikit-learn).

- Experience with PySpark and MLOps (model versioning, experiment tracking (e.g., MLflow), deployment, and monitoring).

- Experience with Azure, AWS and GCP.

Complementary Requirements:

- Experience with open-source LLMs.

- LangChain, LangSmith or LlamaIndex.

- Cloud Certifications: Microsoft Azure AI Engineer Associate, Google Cloud Professional Data Engineer, AWS Certified Machine Learning – Specialty.

Benefits

Important: Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.

Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.

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