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 . You will participate in data and AI projects, working on both existing models and the development of new solutions that deliver real business value.

Responsibilities Design, 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.

Qualifications 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

is highly valued.

📌 Data Scientist (Madrid)
🏢 Innoit Consulting
📍 Madrid