Data Scientist

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