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# Analyst - AI & Data Science

- **Company:** Avanade
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Microsoft Azure, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Azure Machine Learning, Strategies of Testing, Unstructured Data, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Scikit Learn, Machine Learning Operations, Unsupervised Learning
- **Published:** August 15, 2026
- **Apply:** https://es.trabajo.org/oferta-28655-a74672f47afcd5042d82c6ef96341dff

## About the Role

analytical insights and AI-driven value. Stay up to date with the latest advancements in Data Science, ML, DL, and GenAI , and actively share knowledge within the team. Contribute to reusable assets such as code templates, analytical frameworks, and internal training materials . Collaborate with senior team members and architects to identify opportunities where advanced analytics and AI can transform client operations. Qualifications Key Role Skill & Capability Requirements Core Skills Strong foundation in Data Science and applied Machine Learning , including supervised and unsupervised learning. Hands-on experience with ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow or equivalent). Solid understanding of model evaluation, validation, and performance metrics . Experience working with structured and unstructured data , including text data for NLP use cases. Proficiency in Python for data analysis and ML development. AI & GenAI Experience or strong
interest in Generative AI , including LLMs, embeddings, prompt engineering, and retrieval-based approaches. Familiarity with NLP, computer vision, forecasting, or optimization use cases is a strong plus. Exposure to Azure AI / Azure Machine Learning / Azure OpenAI is highly valued. Professional Skills Strong analytical and problem-solving mindset, with the ability to structure ambiguous problems. Ability to communicate insights clearly in English and Spanish , both written and verbal. Comfortable wo

## Description

modern AI solutions such as LLM-based applications, NLP, computer vision, and predictive analytics , primarily on Microsoft Azure . Key Role Responsibilities Day-to-day you will: Design and deliver end-to-end Data Science and AI solutions , from business understanding and data exploration to model deployment and monitoring. Perform exploratory data analysis (EDA) , feature engineering, and data preprocessing on structured and unstructured datasets. Develop, train, evaluate, and optimize machine learning and deep learning models , selecting appropriate algorithms and validation strategies. Contribute to Generative AI solutions , including LLM-based applications, prompt engineering, RAG architectures, and applied NLP use cases. Translate business problems into analytical and ML formulations, clearly explaining trade-offs and results to both technical and non-technical stakeholders. Support the preparation of client presentations, demos, and proposals , articulating


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