Data Scientist

segmentation, targeting and more. - Build solutions based on Large Language Models (LLMs): text generation, summarization, and conversational AI. - Work with speech, text, image, and video analytics problems. - Lead projects from the technical side, supporting delivery excellence. - Prepare documentation, conduct trainings, and run knowledge transfer sessions. - Collaborate with clients to gather requirements and translate them into technical solutions. Practical Information Location: Madrid, Barcelona, León or Santiago de Compostela | Work Arrangement: Hybrid | Contract type: full time | Language requirements: Fluent Spanish and English. Job Requirements - Commercial experience in Machine Learning / Artificial Intelligence or a PhD in this field. - Hands-on experience with Azure Cloud Platform (additional experience in AWS or GCP would be a plus). - Very good knowledge of Python and solid understanding of SQL. - Familiarity with Azure AI Services is a plus. - Solid

Do you love turning data into real impact? Want to be part of a friendly, dynamic, and experienced team, where innovation meets collaboration? Interested in joining a leading global software and cloud solutions provider helping organizations optimize technology and drive digital transformation? We are looking for a Data Scientist passionate about AI, ML, and cloud technologies to design impactful, intelligent solutions. You will work on projects ranging from predictive modeling and segmentation to conversational AI and large language models, delivering end-to-end machine learning solutions from understanding business needs, feature engineering, model training, deployment, and technical delivery. If you enjoy bringing AI ideas to life, leading by example, and staying at the forefront of ML technologies, we would love to meet you. Key Responsibilities - Work on AI and Machine Learning projects hosted in Azure, AWS and Google clouds. - Solve advanced ML challenges: forecasting, theoretical background in machine learning and understanding of LLM concepts. - Experience with MLflow or other ML lifecycle tools is a plus. - Team-oriented mindset and ability to mentor junior team members. Benefits - Global company culture fosters collaboration across borders. - A mentor supports your successful start and provides guidance. - Recognition through President's Club for outstanding performance. - Flexible work: mix of remote and local office collaboration. - Lifetime learning: training and development opportunities. - Growth opportunities within the organization. J-18808-Ljbffr