INTERMEDIATE DATA SCIENTIST

INTERMEDIATE DATA SCIENTIST (HYBRID LISBON)Portuguese company hires for hybrid position 📍 Location: Lisbon, Portugal (2–3 days per week onsite)⚠️ Only candidates already based in Portugal will be considered.🗣️ Language Requirements: Fluent English 🕓 Seniority: Up to 5 years📎 Hiring Model: B2B💼 Client 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: All mandatory requirements listed below must be clearly stated in the CV. Applications that do not explicitly include the required experience and skills will not be considered.Role OverviewWe are looking for an Intermediate Data Scientist to design and implement analytical and AI-driven solutions that support innovation and business value. This role focuses on building medium-complexity machine learning models on structured data, developing robust ML pipelines, and contributing to Generative AI (GenAI) use cases integrated into real-world applications.The position involves end-to-end responsibilities, from model development to controlled deployment, working closely with international teams in a collaborative environment.Main Responsibilities & Deliverables·         Design and implement medium-complexity analytical models, including:*    Regression*    Classification*    Clustering·         Develop solutions using Python and/or R (SAS is a plus)·         Build and maintain robust ML pipelines, including:*    Data preprocessing*    Model fine-tuning*    Evaluation using metrics such as BLEU, ROUGE, and perplexity*    Controlled deployment via APIs·         Develop and integrate Generative AI solutions, including:*    Text generation and summarization*    Contextual classification*    Image generation*    Intelligent copilots and autonomous agents·         Ensure good machine learning engineering practices, including lifecycle management and quality controlTechnical Skills (Mandatory)·         Degree in Software Engineering, Computer Engineering, or a related field·         Experience developing Machine Learning projects using Python, R, or SAS·         Experience deploying ML models to production and managing the full model lifecycle·         Strong knowledge of relational and NoSQL databases·         Hands-on experience with ML frameworks, such as TensorFlow and PyTorch·         Strong analytical, critical thinking, and problem-solving skills·         Ability to work in collaborative, international teams·         Strong commitment to quality deliveries·         English fluency (written and spoken)Nice to Have·         Knowledge of the Energy & Utilities sector·         Familiarity with GDPR·         Experience with Agile methodologies and tools such as JIRA and Confluence·         Knowledge of Portuguese and/or Spanish·         Experience building interactive data visualizations to present complex analytical resultsLanguage Requirements·         English: Mandatory·         Portuguese: Optional·         Spanish: OptionalSoft Skills·         Strong communication skills, both technical and non-technical·         Collaborative mindset and ability to work with global teams·         Structured, results-oriented, and quality-focused approach·         Willingness to learn and continuously improveKeywords (must appear in the CV)Intermediate Data Scientist, Data Science, Machine Learning, Regression, Classification, Clustering, Python, R, SAS, TensorFlow, PyTorch, Generative AI, GenAI, LLMs, Diffusion Models, Model Deployment, Model Lifecycle Management, Relational Databases, NoSQL, Data Pipelines, BLEU, ROUGE, Perplexity, API Deployment, Energy Sector, Hybrid Work, Lisbon, English Fluent#00324830