Intermediate Data Scientist

INTERMEDIATE DATA SCIENTIST (HYBRID LISBON)

Portuguese company hires for hybrid position
Location: Lisbon, Portugal (Hybrid – 2/3 days per week on-site)
Only candidates already based in Portugal will be considered.
Language Requirements: Fluent English | Portuguese (OPTIONAL), Spanish (OPTIONAL)
Seniority: Up to 5 years' experience as a Data Scientist
Sector: Energy
  Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success

Important: Only candidates whose CVs clearly list all mandatory requirements will be evaluated. _____________________________________________________________

We are seeking an Intermediate Data Scientist with solid experience in Machine Learning, Generative AI, and cloud-based solutions to join a forward-thinking team working on high-impact analytical and AI initiatives. This role requires strong technical foundations, autonomy, and the ability to contribute meaningfully to enterprise-scale AI solutions.

What You Will Do

· Develop analytical models of medium complexity (regression, classification, clustering, ML on structured data "at rest").

· Implement code in Python or R.

· Independently develop GenAI-based applications using OpenAI and Azure AI Search.

· Desirable) Build Microsoft Copilot solutions.

· Participate in AI/ML lifecycle activities from design to deployment.

· Collaborate with global teams in a hybrid work environment (Lisbon).

Must-Have Requirements

Must appear clearly in the CV)

· Degree in Software Engineering, Computer Engineering, Data Science, or related field.

· Strong written and verbal communication skills.

· Ability to work collaboratively with global teams.

· Critical thinking and problem-solving mindset.

· Commitment to high-quality deliveries.

· Fluent English (mandatory).

· Experience with relational and NoSQL databases.

· Experience developing Machine Learning projects in Python, R, or SAS.

· Experience deploying ML models to production and managing model lifecycles.

· Proven experience in Machine Learning and Generative AI.

· Hands-on experience implementing GenAI solutions in enterprise environments.

· Ability to optimize and manage GenAI models within cloud infrastructures.

· Ability to lead AI initiatives and support team leadership when needed.

Required Technical Skillset

( All mandatory skills must appear on the CV)

Programming

· Strong proficiency in Python and relevant ML/AI libraries.

Generative AI & LLMs

· Hands-on experience building LLM applications in the Azure ecosystem using GPT-4o, o3, etc.

· Experience with Azure AI Services:

*    TTS (e.g., ElevenLabs)

*    STT (Whisper-large-v3)

*    STS (gpt-4o-mini-realtime-preview)

*    Azure Document Intelligence for OCR

*    Embeddings (text-embedding-3-small/large)

· Deep understanding of RAG architecture.

· Hands-on experience with LangChain and LangGraph.

· Backend API development using FastAPI.

· Knowledge of Guardrails for safety and LangFuse for evaluation/observability.

Azure Cloud

· Proven experience deploying applications on Microsoft Azure.

· Azure Functions & Logic Apps.

· Azure OpenAI Service.

· Azure AI Search / AI Foundry (vector stores).

· Data Factory & Databricks for ingestion pipelines.

· Azure Blob Storage.

· CosmosDB (long-term memory).

· Application Insights (logging & monitoring).

DevOps & MLOps

· Docker & Azure Container Registry.

· Deployment across multiple environments (dev, QA, prod).

· CI/CD automation with GitHub Actions.

· Secrets management (Azure Key Vault, GitHub, HashiCorp Vault).

Desirable Skills (Nice-to-Have, Not Mandatory)

· Experience in Microsoft Copilot Studio and building AI copilots.

· Experience with Microsoft 365 & Graph API integrations.

· Skills in Power Automate, Dataverse, Power Fx, or basic Power Apps.

· Understanding OAuth 2.0, Entra ID, and API rate limits.

· Familiarity with Energy & Utilities sector and GDPR.

· Knowledge of Agile frameworks, Jira, Confluence.

· Ability to communicate in Portuguese or Spanish.

Top Skills Summary

· Python, ML, Generative AI, LLMs

· FastAPI, LangChain, LangGraph, RAG

· Azure OpenAI, Azure Functions, Logic Apps, Data Factory, CosmosDB

· Docker, CI/CD, GitHub Actions

· Azure AI Search, embeddings, vector stores

· Model lifecycle management

· AI Safety & Observability (Guardrails, LangFuse)

· Project Type: Development

· Languages: English (mandatory)

Keywords That Must Appear on the CV

· Python
· Machine Learning
· Generative AI
· LLMs (GPT-4o, o3)
· Azure OpenAI
· RAG / LangChain / LangGraph
· FastAPI
· Azure Functions / Logic Apps
· Databricks / Data Factory
· Docker
· CI/CD (GitHub Actions)
· CosmosDB
· Azure AI Search
· OCR, TTS, STT
· Model deployment / ML lifecycle
· Cloud (Azure mandatory)

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