Data scientist with machine learning
2 semanas atrás
Key Responsibilities
Design, build, and deploy machine learning and AI models for prediction, classification, optimisation, and decision support
Work with structured and unstructured data from multiple sources to extract insights and drive model performance
Develop end-to-end data science pipelines, from data exploration and feature engineering to model evaluation and monitoring
Collaborate with engineers, analysts, and domain experts to integrate models into production systems
Communicate findings clearly to both technical and business audiences
Stay current with emerging trends and best practices in machine learning and AIRequired Skills & Experience
Strong background in machine learning, statistics, and data science
Proficiency in Python and common ML libraries (e.g. scikit-learn, Tensor Flow, Py Torch, XGBoost)
Experience working with real-world datasets and building production-ready models
Solid understanding of model evaluation, validation, and performance trade-offs
Experience with SQL and data manipulation at scale
Ability to explain complex concepts clearly and pragmaticallyNice to Have
Experience with cloud platforms (AWS, GCP, or Azure)
Exposure to MLOps, model deployment, and monitoring
Experience with NLP, time-series forecasting, or generative AI
Background in consulting, finance, or advisory environmentsWhat We Offer
Opportunity to work on high-impact, intellectually challenging projects
A collaborative environment with a strong emphasis on learning and innovation
Competitive salary and benefits package
Flexible and hybrid working arrangements based in Lisbon
Clear opportunities for growth and leadership
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