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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Generative Ai Specialist - **Company:** Bip's Google Tech Hub - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Computer-Aided Design, Artificial Intelligence, Application Integration Architecture, Big Data, BigQuery, Cloud Computing, Computer Programming, Databases, Computer Engineering, Extract Transform Load (ETL), Data Visualization, DevOps, Revision Control Systems, Python (Programming Language), Machine Learning, Node.Js, Performance Tuning, Power BI, Tensorflow, Standard Sql, Scala (Programming Language), Software Engineering, Software Systems, Systems Integration, Tableau (Software), Google Cloud, GitHub Copilot, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Git, Pandas, Scikit Learn, Information Technology, Data Analytics, Terraform, Looker Analytics, Microservices - **Published:** July 20, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role A curious, motivated individual with a strong analytical mindset, able to work in teams and enthusiastically tackle new challenges. Key Requirements + Education: Master's degree in Computer Engineering, Data Science, Computer Science, Statistics, Mathematics, or related STEM disciplines. + Experience: At least 3 years of experience in Data Science roles or software development focused on data. + Programming: Advanced knowledge of Python and experience in software development in at least one language among Python, Scala, Java, or Node.js. + Database & SQL: Advanced knowledge of SQL for querying, managing, and modeling data in both transactional and analytical contexts, including ETL activities. + AI & Machine Learning: Proven experience applying AI solutions (including Generative AI) and developing advanced AI models. + Strong knowledge of Machine Learning and Generative AI concepts, algorithms, and methodologies. + Expertise in Context Engineering (Prompt Engineering) to optimize the integration of AI models (LLMs) into software systems. + Good knowledge of Python libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. + Cloud (GCP): Experience with Google Cloud Platform, particularly Vertex AI (training, fine-tuning, and deployment), BigQuery (large-scale data analysis), and BigQuery ML (AI model integration into analytics workflows). + Experience in designing software solutions and implementing algorithms and data structures. + Experience with version control tools (e.g., Git). + Fluent professional Spanish and English. Nice to Have + Data Visualization: Knowledge of BI and Data Visualization tools (e.g., Looker, Power BI, Tableau). + RAG & Vector DB: Strong knowledge and hands-on experience with Vector Databases (e.g., Pinecone, ChromaDB) and related RAG (Retrieval-Augmented Generation) pipelines. + Architectures: Experience developing distributed applications and microservices architectures. + AI Coding: Practical experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude Code). + AI Integration: Experience integrating Generative AI models (e.g., Large Language Models, NLP, Vision AI). + DevOps: Knowledge of Terraform and observability stacks. + Modeling: Previous experience with optimization or profiling models (e.g., NBA/NBO models, attribution models, dynamic profiling). ## Description We are looking for a Data & AI Specialist to join BIP's Google Tech Hub, working on Artificial Intelligence, Cloud, Data, and Martech projects on Google Cloud Platform (GCP). The selected candidate will support the company's AI adoption journey by designing and delivering actionable AI solutions fully integrated into business processes, within the Data Analytics, BI & Business Analysis team, focusing on creating real impact for clients. Your Role In this role, you will not only develop models, but also work closely with data to extract tangible value and generate strategic business insights. You will be responsible for designing and developing advanced models to understand and predict business dynamics, optimizing data-driven strategies. You will design scalable and distributed Artificial Intelligence (AI) solutions for specific use cases. You will collaborate closely with professionals such as Cloud & Data Architects, Data Engineers, and Business Analysts to develop Generative AI and Machine Learning solutions, bringing insights into production through scalable architectures. Who We Are Looking For ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Got AI ideas but no money? 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