> Markdown version of [/jobs/ext/2990806-data-scientist](https://www.wearedevelopers.com/jobs/ext/2990806-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Innoit Consulting - **Location:** Córdoba, Spain - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Big Data, Information Engineering, DevOps, Python (Programming Language), Machine Learning, Supervised Learning, Large Language Models, Apache Spark, Generative AI, Git, Pyspark, Machine Learning Operations, Software Version Control - **Published:** September 19, 2026 - **Apply:** https://www.buscojobs.com.es/data-scientist-en-cordoba-ID-372065194 ## About the Role QualificationsExperience as a Data Scientist with a strong understanding of Machine Learning. Experience developing and validating supervised learning models. Knowledge and hands-on experience with Generative AI, LLMs, and RAG .Strong proficiency in Python .Experience with Spark and PySpark .Knowledge of version control and model management tools such as Git and MLflow .Experience working with large-scale and complex datasets. Familiarity with Feature Stores, Agile methodologies, and DevOps is a plus. xhfqzwm Previous experience in the insurance industry is highly valued. ## Description We are looking for a Data Scientist with experience in developing and improving Machine Learning models, along with strong knowledge and interest in Generative AI.¿Todo listo para enviar su solicitud? Asegúrese de comprender todas las responsabilidades y tareas asociadas a este puesto antes de continuar.You will participate in data and AI projects, working on both existing models and the development of new solutions that deliver real business value.ResponsibilitiesDesign, develop, and optimize Machine Learning models.Analyze and work with large volumes of data and complex datasets.Evaluate, validate, and monitor model performance in production environments.Contribute to the development of solutions based on Generative AI and LLMs .Work with RAG architectures, embeddings, and AI solutions focused on business use cases.Collaborate with Data Science, Data Engineering, and other technical teams. Apply best practices throughout the model development lifecycle.Communicate insights and results to both technical and business stakeholders.QualificationsExperience as a Data Scientist with a strong understanding of Machine Learning.Experience developing and validating supervised learning models.Knowledge and hands-on experience with Generative AI, LLMs, and RAG .Strong proficiency in Python .Experience with Spark and PySpark .Knowledge of version control and model management tools such as Git and MLflow .Experience working with large-scale and complex datasets.Familiarity with Feature Stores, Agile methodologies, and DevOps is a plus. xhfqzwm Previous experience in the insurance industry is highly valued. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [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) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)