Role Overview

We are seeking a highly motivated Data Scientist with expertise in machine learning, AI, and advanced analytics to solve complex business problems across industries. The role involves collaborating with clients and cross-functional teams to develop, deploy, and scale data-driven solutions, ranging from traditional machine learning models to cutting-edge Generative AI and LLM applications. You will work on high-impact initiatives, contribute to R&D;, and help organizations unlock value through data and AI.

The candidate should be based out of Madrid and open to travel as per business requirements.

What You Will Do

- Key Responsibilities
- Partner with clients and stakeholders to translate business challenges into analytical and AI-driven solutions.
- Perform exploratory data analysis (EDA) to identify trends, insights, and opportunities.
- Design, build, train, and evaluate machine learning, deep learning, and Generative AI models.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and LLM-based applications.
- Define model evaluation frameworks, conduct A/B testing, and monitor model performance and drift.
- Deploy data science solutions through APIs, batch pipelines, and cloud-based platforms.
- Optimize model inference performance, scalability, latency, and cost.
- Build accurate, explainable, and responsible AI solutions while minimizing bias and ensuring reliability.
- Collaborate with data engineers, software engineers, product managers, and designers to integrate solutions into production systems.




- Present insights and recommendations to technical and business stakeholders in a clear and actionable manner.
- Contribute to internal innovation initiatives, research projects, and thought leadership activities.

What You BringRequired Qualifications
- Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline..
- Strong programming skills in Python and SQL.
- Hands-on experience with machine learning frameworks and the Python data science ecosystem.
- Experience developing predictive, classification, optimization, and statistical models using structured and unstructured data.
- Understanding of Generative AI, LLMs, prompt engineering, RAG architectures, and model evaluation techniques.
- Experience with model deployment, monitoring, testing, and productionization.
- Strong problem-solving and analytical thinking skills.
- Excellent communication and stakeholder management abilities.

Preferred Skills
- Experience with big data technologies such as PySpark, Hadoop, Hive, or similar frameworks.
- Familiarity with Databricks, Airflow, Kedro, Dask, RAPIDS, or comparable data engineering tools.




- Knowledge of cloud platforms including AWS, Azure, or GCP.
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Exposure to software engineering best practices and MLOps.
- Experience deploying AI and analytics solutions in enterprise environments.
- Consulting or client-facing project experience is highly desirable.

Key Technologies
- Languages: Python, SQL
- ML & AI: Scikit-learn, TensorFlow, PyTorch, LLMs, Generative AI, RAG
- Big Data: PySpark, Hadoop, Hive
- Data Platforms: Databricks, Airflow, Kedro
- Cloud: AWS, Azure, GCP
- DevOps/MLOps: Docker, Kubernetes, CI/CD

What We Offer
- Full-time, on-site position in the vibrant city of Madrid
- Opportunity to work on cutting-edge data science projects with significant business impact
- Structured, multi-round interview process designed to assess your skills comprehensively and provide you with insights into our organization
- Collaborative work environment fostering professional growth and innovation

About the Company Our client is a leading organization in the professional services industry, known for its data-driven approach to solving complex business challenges. They are at the forefront of applying advanced analytics and AI technologies to deliver transformative insights to their integral client.

Job Types: Full-time, Contract

Pay: 40,300.00€ - 80,300.00€ per year

Education

- Bachelor's (Preferred)

Language:
- Spanish (Preferred)

Work Location: Hybrid remote in Madrid, Madrid provincia

📌 Data Scientist (Madrid)
🏢 StatusNeo
📍 Madrid