Job Description:

As a Data Scientist , you'll be immersed in high-impact AI projects, leveraging advanced analytics and machine learning techniques to shape the next generation of data-driven solutions. You'll work with cross-functional teams to extract insights, build predictive models, and support AI initiatives that optimize customer experience, product development, revenue generation, and operational efficiency.

Key Responsibilities:

• Extract and analyze data from enterprise databases to inform strategic product development decisions.

• Evaluate the effectiveness of new data sources and implement robust data collection techniques.

• Develop custom models using available data and RAIP components to support AI initiatives within Repsol.

• Apply predictive modeling to enhance customer experiences, improve targeting, and boost business performance.

• Design and execute A/B testing frameworks with clear metrics to evaluate model performance.

• Collaborate with functional teams to deploy models and monitor outcomes.

• Create tools and processes for model performance tracking and data accuracy validation .

Required Expertise:

• Proficiency in one or more AI verticals:

  • Machine Learning

  • Computer Vision

  • Natural Language Processing

  • Optimization

  • Generative AI

  • Time Series Analysis

• Strong problem-solving skills, especially in product-oriented environments.

• Expert-level Python skills for data manipulation and large dataset analysis.

• Solid understanding of ML algorithms (decision trees, neural networks, clustering, etc.) and statistical techniques (regression, hypothesis testing, distribution modeling).

• Familiarity with LLM (Large Language Models) and their practical application in projects.

• Excellent communication skills for team coordination and reporting.

Preferred Qualifications:

• Master's or PhD in Statistics, Mathematics, Computer Science, or a related quantitative field.

• 5–7 years of experience in advanced data science roles.

• Experience with tools and methodologies including:

  • GLM/Regression

  • Random Forest, Boosting, Trees

  • Text mining, social network analysis

  • Scenario simulation and statistical modeling

Language Requirements:

• No specific English level required, but strong written and verbal communication is essential for collaboration.

About the projects you will work on

You will work 100% remotely from wherever you decide. Sometimes you may have face-to-face meetings and for that reason you have to reside in Spain or in the European Union.

You will work on projects with a leading company in digital transformation with a passion for technology and innovation in sectors such as banking (35 of the main banks worldwide work with our client), insurance, industrial and automotive in Big Data projects, Blockchain, AI, Cloud, among others.

About the client

• Global presence in more than 15 markets
• 8,000+ employees
• more than 35 years of experience

About the process and your contractual relationship

If you are interested in this offer, we will enroll you in the process and submit your application, blindly, that is, without your contact details, to the technical and human resources department so that they can evaluate your profile and your financial expectations.

If the answer is positive, we organize the meetings so that the client knows you and explains the project in detail.

If after the meeting both parties agree on the conditions, you receive a firm offer to work with us or directly be hired by the client.