Cepsa, recently rebranded as Moeve, is a leading international energy company and one of Spain's largest industrial groups. The company operates across the entire energy value chain, including petroleum refining, chemicals, and marketing, while aggressively pivoting toward green hydrogen, biofuels, and sustainable mobility through its "Positive Motion" strategy. With a workforce of approximately 10,000 employees, it plays a critical role in the European energy transition.

Headquartered in Madrid, the company maintains a massive footprint across Spain, including major refineries in Huelva and San Roque and a vast network of service stations. For international professionals, Cepsa offers a multicultural corporate environment, particularly within its trading, digital transformation, and renewable energy divisions. The company is highly active in recruiting international talent for technical and sustainability-focused roles, often utilizing English as a primary business language in its global operations.

Founded in 1929 as Spain's first private oil company, Cepsa has evolved from a traditional petroleum refiner into a global energy player. After decades of expansion and ownership changes involving Mubadala and The Carlyle Group, the company rebranded to Moeve in 2024 to focus on the energy transition.

For international professionals

Recently rebranded to Moeve in 2024 to signal its commitment to becoming a leader in green hydrogen and sustainable energy.
Offers the 'Welcome U' internship and graduate program, which is a major entry point for international talent in Spain.
Operates major industrial hubs in Andalusia and the Canary Islands, providing opportunities outside of the Madrid corporate hub.
English is widely used in corporate departments such as Trading, IT, and Renewable Energy Development.
Headquartered in the Cepsa Tower, one of the tallest and most iconic buildings in Madrid's financial district.

Data Scientist

Cepsa

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

Are you passionate about the challenge of the energy transition?

At Moeve, we transform energy and mobility to improve the world together, and we need all the talent to make it a reality. This is your opportunity!

What will your role be?

Integrated into the Technology, Projects and Services area, you will be responsible for developing the necessary algorithms by applying the analytical techniques required for the development of Digital Transformation initiatives. These will be associated with functional domains and/or analytical technologies.

Why is this the perfect position for you?

Design, develop, and implement end-to-end pipelines in AWS environments for the execution of mathematical optimization and machine learning projects (data exploration, sampling, training data generation, feature engineering, model construction, and performance evaluation).
Translate complex business problems into data science modeling strategies and solutions.
Ensure that pipelines are scalable, repeatable, and secure, as well as capable of serving multiple users within the company.
Research, code, test, and document new or modified data systems used to create analytics applications that are genuinely new, robust, and scalable.

Who are we looking for?

Education: Master's or PhD in Physics, Mathematics, Engineering, or a related quantitative discipline.
Languages: English (Minimum B2)
Minimum of 3 years of experience in data science and/or mathematical optimization problems; 4-5 years desirable for higher seniority responsibilities.
Experience in machine learning projects (classification, regression, forecasting), especially applied to industrial processes and/or B2B environments.
Experience in the design and implementation of mathematical optimization solutions. Optimization applied to logistics problems is recommended.
Experience in the development and deployment of solutions on cloud platforms (AWS).
Knowledge of best practices for code management in repositories (git, CI/CD).
Experience with object-oriented design, code development, testing, and experience in software engineering platforms and high-volume data.
Experience in developing presentations and communications for internal and external stakeholders.

It would be ideal if you also have:

Knowledge of Machine Learning algorithms and libraries from the DS ecosystem in Python (pandas/polars, scikit-learn, ...).
Familiarity with mathematical optimization libraries in Python (Pyomo).
Ability to work with distributed systems using open source tools.
Knowledge of MLOPs tools or services (MLFlow, Kubeflow, Sagemaker).

Location: Madrid, Torre Moeve

Why join the Moeve team?

With more than 10,000 employees, an international presence, and nearly 100 years of history, at Moeve we lead the energy transition for a better world. Our goal is to take care of people and the planet, starting with the people who make up the Moeve team.

At Moeve, we imagine a better future and want to make it a reality. Our actions speak louder than words: we are leading an unstoppable movement.

Open a new door. Your first day starts here.

Take the step today

Moeve always ensures equal opportunities, identifying and developing the full potential of people based exclusively on their abilities to perform their functions and on non-discrimination based on sexual orientation and identity, gender expression or sexual characteristics, as well as other dimensions of diversity.

View original advert (Spanish)

¿Te apasiona el reto de la transición energética?

En Moeve transformamos la energía y la movilidad para entre todos mejorar el mundo, y necesitamos de todo el talento para hacerlo realidad. ¡Esta es tu oportunidad!

¿Cuál será tu rol?

Integrado/a en el área de Tecnología, Proyectos y Servicios, serás responsable de desarrollar la algoritmia necesaria aplicando las técnicas analíticas necesarias para el desarrollo de las iniciativas de Transformación Digital. Se asociarán a dominio funcional y/o tecnologías analíticas.

¿Por qué este es el puesto perfecto para ti?

Diseñar, desarrollar e implementar pipelines end-to-end en entornos AWS para ejecución de proyectos de optimización matemática y machine learning (exploración de datos, muestreo, generación de datos de train, feature engineering, construcción de modelos y evaluación de performance)
Traducir problemas de negocio complejos en estratregias y soluciones de modelado de data science.
Asegurar que los pipelines son escalables, repetibles y seguros, así como de que puedan servir a multiples usuarios en la compañía.
Investigar, codificar, testear y documentar sistemas de datos nuevos o modificados que sirvan para crear Aplicaciones de analytics que sean genuinamente nuevas, robustas y escalables.

¿A quién estamos buscando?

Formación: Master o PhD en Física, Matemáticas, Ingeniería o disciplina cuantitativa relacionada
Idiomas: Inglés (Mínimo B2)
Mínimo de 3 años de experiencia en ciencia de datos y/o problemas de optimización matemática, deseable 4-5 años para reponsabilidades de mayor señority.
Experiencia en proyectos de machine learning (clasificación, regresión, forecasting). Especialmente aplicados en procesos industriales y/o entornos B2B.
Experiencia en planteamiento e implementación de soluciones de optimización matemática. Recomendable optimización aplicada a problemas de logística.
Experiencia en el desarrollo y despliegue de soluciones en plataformas cloud (AWS)
Conocimiento de buenas practicas para gestión de código en repositorios (git, CI/CD)
Experiencia con diseño orientado a objetos, desarrollo de código, testing y experiencia en plataformas de ingeniería de software y datos de gran volumen.
Experiencia en desarrollo de presentaciones y comunicaciones para stakeholders internos y externos.

Sería ideal si además:

Conocimiento de algoritmos de Machine Learning y librerías del ecosistema DS en Python (pandas/polars, scikit-learn, ...)
Familiaridad con librerías de optimización matemática en Python (Pyomo)
Capacidad de trabajo con sistemas distribuidos, utilizando herramientas open source
Conocimiento de herramientas o servicios MLOPs (MLFlow, Kubeflow, Sagemaker)

Localización: Madrid, Torre Moeve

¿Por qué unirte al equipo Moeve?

Con más de 10.000 trabajadores, presencia internacional y casi 100 años de historia, en Moeve lideramos la transición energética para un mundo mejor. Nuestro objetivo es el de cuidar de las personas y el planeta, empezando por las personas que forman el equipo Moeve.

En Moeve imaginamos un futuro mejor y queremos hacerlo realidad. Nuestras acciones hablan más alto que las palabras: estamos liderando un movimiento imparable.

Abre una nueva puerta. Tu primer día empieza aquí.

Da el paso hoy

Moeve vela siempre por la igualdad de oportunidades, identificando y desarrollando todo el potencial de las personas basándose exclusivamente en sus capacidades para el desempeño de sus funciones y en la no discriminación por razón de orientación e identidad sexual, expresión de género o características sexuales, así como respecto de las demás dimensiones de la diversidad.