Data Scientist Com Foco Em Ml E Ia Generativa

Bright Jobs; Lisboa; Hybrid; EUR 52.000 - 78.000; Vollzeit

Zusammenfassung

A Bright Jobs em Lisboa procura um Data Scientist com foco em ML e IA Generativa para consultoria a cliente no setor de utilities, com regime híbrido (1–2 dias/semana).

O papel envolve desenvolver modelos preditivos, aplicar IA Generativa e trabalhar com dados de séries temporais, traduzindo resultados em insights acionáveis para a equipa.

Qualifikationen

• 3–5 anos de experiência como Data Scientist, ML Engineer ou função semelhante.
• Forte experiência prática com Python e stacks ML (Pandas, scikit-learn, XGBoost/LightGBM, PyTorch ou TensorFlow).
• Experiência prática com IA Generativa / LLM (LangChain, LlamaIndex, RAG, prompts, pipelines).
• Bases sólidas de modelagem preditiva e forecast de séries temporais.
• Conhecimento de SQL e grandes conjuntos de dados reais; experiência em produção é um plus.

Aufgaben

• Desenhar, construir e validar modelos preditivos de preços, demanda e sinal de mercado.
• Usar ferramentas de IA Generativa para acelerar pesquisa, feature engineering e iteração de modelos.
• Trabalhar com grandes datasets com séries temporais no mercado.
• Traduzir necessidades da equipa de trading em problemas de modelagem e insights acionáveis.
• Monitorar, testar e refinar modelos em ambiente de mercado real e dinâmico.
• Colaborar com engenheiros para incorporar modelos em pipelines de produção.
• Documentar metodologia e descobertas para stakeholders técnicos e não técnicos.

Kenntnisse

Python

Pandas

Scikit-learn

XGBoost/LightGBM

PyTorch

TensorFlow

Generative AI

LangChain

LlamaIndex

RAG

SQL

Time-series

Model deployment

Tools

Copilot

LangChain

LlamaIndex

Jobbeschreibung

Data Scientist com foco em ML e IA Generativa

Procuramos para uma empresa nossa cliente em Lisboa, um consultor Data Scientist, que esteja legalizado para trabalhar em Portugal, em regime híbrido, com o seguinte perfil:

Data Scientist – Predictive Modeling & Generative AI

Location: Lisbon
Work Model: Hybrid (1-2 days per week)

About the Role

We are building a team to develop predictive algorithmic models for a major utilities company. This is a high-impact, applied data science role where you'll work at the intersection of machine learning, generative AI, and quantitative modeling to help anticipate market movements and price dynamics.

What You'll Do

• Design, build, and validate predictive models for price forecasting, demand/supply dynamics, and market signal generation
• Use generative AI tools (LLM-assisted coding, RAG pipelines, prompt engineering, agentic workflows) to speed up research, feature engineering, and model iteration
• Work with large, messy, time-series-heavy datasets specific to our client's market
• Translate trading team needs into modeling problems, and translate model outputs back into insights that can be acted on
• Continuously test, monitor, and refine models in a live, fast-moving market environment
• Collaborate with client engineers to embed models into production workflows
• Document methodology and findings clearly for both technical and non-technical stakeholders

What We're Looking For

Experience & Technical Skills

• 3–5 years of experience as a Data Scientist, ML Engineer, or similar applied role
• Strong hands-on experience with Python and standard ML/data stacks (pandas, scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow)
• Practical experience using generative AI / LLM tools in a real workflow (e.g., Copilot-style coding assistants, LangChain/LlamaIndex, RAG, prompt engineering, agentic pipelines) — this is a hands‑on requirement, not just familiarity
• Solid grounding in predictive modeling and time‑series forecasting techniques
• Comfortable working with SQL and large, real-world (i.e. imperfect) datasets
• Experience deploying or maintaining models in a production or near-production setting is a plus

Domain Knowledge

• Any exposure to commodities, trading, financial markets, or energy systems is a strong plus, not a requirement
• A genuine will to learn a complex, fast‑moving business model is essential

Soft Skills & Working Style

• High degree of autonomy — comfortable owning problems end‑to‑end with limited hand‑holding
• Strong intellectual curiosity and drive to grow technically and domain‑wise
• Clear communicator, able to work closely with traders and non‑technical stakeholders
• Comfortable in a hybrid, project‑driven environment with evolving priorities

Languages

• Portuguese
• English

Regime de trabalho híbrido.