> Markdown version of [/jobs/ext/3088165-data-scientist](https://www.wearedevelopers.com/jobs/ext/3088165-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:** El Lloar, 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 26, 2026 - **Apply:** https://www.buscojobs.com.es/data-scientist-en-lloa-ID-372835178 ## About the Role Experience 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. Previous experience in the insurance industry ## Description We are looking for aData Scientistwith experience in developing and improving Machine Learning models, along with strong knowledge and interest inGenerative AI. 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 onGenerative 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 aData Scientistwith a strong understanding of Machine Learning.Experience developing and validating supervised learning models.Knowledge and hands-on experience withGenerative AI, LLMs, and RAG.Strong proficiency inPython.Experience withSpark and PySpark.Knowledge of version control and model management tools such asGit and MLflow.Experience working with large-scale and complex datasets.Familiarity withFeature Stores, Agile methodologies, and DevOpsis a plus.Previous experience in theinsurance industryis 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 - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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 – 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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)