Data Scientist

Capgemini Invent; Madrid; Hybrid; EUR 55,000 - 90,000; Full time

Benefits offered by this job

Hybrid work

Continuous learning

Collaborative environment

Job summary

Capgemini Invent in Madrid is seeking a Data Scientist / AI Developer to shape, design, and deploy AI-driven solutions across business domains. You will translate business challenges into scalable, value-driven AI applications, leveraging Generative AI, LLMs, and data sources.

You will collaborate with stakeholders, build production-ready Python components, and ensure robust, well-documented deployments within cloud environments (Azure/GCP). Hybrid working and continuous learning are emphasized.

Qualifications

• Strong background in Data Science, AI Engineering, or related fields.
• Professional proficiency in Spanish and English.
• Experience designing and deploying AI/LLM-based solutions.
• Ability to collaborate with business stakeholders and translate needs into technical solutions.

Responsibilities

• Translate business needs into scalable AI applications.
• Design and deploy AI solutions using Generative AI and LLMs.
• Build AI applications leveraging LLMs, RAG, and data sources.
• Develop robust components in Python and integrate with enterprise systems.
• Document, test, and deploy solutions; communicate decisions clearly.

Skills

AI Engineering

Python Development

Generative AI

RAG & Information Retrieval

APIs

Git & DevOps

Cloud Technologies (Azure, GCP)

Business Understanding

Stakeholder Management

Spanish & English

Tools

Git

Azure

GCP

APIs

Job description

About the Job

At Capgemini Invent, we help organizations unlock the full potential of Artificial Intelligence and Data. We are looking for a Data Scientist / AI Developer to join our growing Data & AI team and contribute to the design and development of innovative AI and Generative AI solutions that address real business challenges. You will work at the intersection of technology and business, helping clients transform their operations through scalable, impactful, and user-centric AI solutions.

Your Role

As a Data Scientist / AI Developer, you will work closely with business stakeholders, data professionals, and technology teams to design, build, and deploy AI-powered solutions. Beyond technical development, you will be responsible for understanding business needs and translating them into practical and scalable AI applications that create measurable value.

Key Responsibilities

• Understand business requirements and functional needs and translate them into effective technical solutions.
• Collaborate directly with business users and stakeholders to ensure solutions generate tangible business value.
• Design and develop solutions based on Data Science, Generative AI, and Large Language Models (LLMs).
• Build AI applications leveraging LLMs, Retrieval-Augmented Generation (RAG), APIs, and both structured and unstructured data sources.
• Develop robust and scalable components and services primarily using Python.
• Integrate AI solutions with enterprise systems and multiple sources of information.
• Evaluate and improve the quality, reliability, and effectiveness of AI-generated outputs.
• Participate hands-on throughout the full development lifecycle, including design, implementation, testing, documentation, and deployment.
• Communicate technical decisions, trade-offs, and limitations to both technical and business audiences.

Your Profile

• AI Engineering Expertise: 2-5+ years of experience in Data Science, Machine Learning, AI Engineering, or related fields.
• Python Development: Advanced Python skills with hands-on experience building production-ready solutions.
• Generative AI: Practical experience developing solutions using Generative AI technologies and Large Language Models (LLMs).
• RAG & Information Retrieval: Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector and hybrid search, and information retrieval techniques.
• Systems Integration: Experience working with APIs and integrating multiple data sources and enterprise applications.
• Development Best Practices: Familiarity with Git, testing methodologies, modular architectures, and technical documentation.
• Cloud Technologies: Experience working in cloud environments, preferably Azure and/or Google Cloud Platform (GCP).
• Business Understanding: Ability to understand business processes and challenges and transform them into AI- and data-driven solutions.
• Stakeholder Management: Strong communication and collaboration skills when working with both technical and non-technical audiences.
• Languages: Professional proficiency in both Spanish and English.

What You'll Love About Working Here

Join our rapidly growing Data & AI practice at Capgemini Invent, where we help organizations accelerate their transformation through advanced analytics, Artificial Intelligence, and Generative AI. You'll work on innovative projects, collaborate with multidisciplinary teams, and have the opportunity to shape the future of AI-enabled business solutions. We offer flexibility, a positive work-life balance through hybrid working, continuous learning opportunities, and a collaborative environment where innovation and professional growth are encouraged.