Descripción de la vacante
Capgemini
Spain, Madrid
Data Scientist (TASDA) en Madrid, España is listed on Jobeax. Browse 80,000+ vacancies available.
Would you like to join the team and grow professionally in a multidisciplinary team working on cutting-edge technology projects?
You will be working within our data area, on a project in the aeronautical sector focused on analyzing data from aircraft sensorization, with the goal of developing models that help optimize maintenance activities. The work will be carried out across different functional streams related to various aircraft systems, such as landing gear, cooling systems, or propulsion, among others.
To feel comfortable in this position, you need to be able to develop, validate, and deploy Machine Learning models, with advanced knowledge of both Python and PySpark. You must also be available to work on-site at our offices in Getafe on a daily basis.
Additionally, experience in industrial systems (hydraulics, mechanics, manufacturing processes, maintenance, or engineering) and/or prior experience in the aeronautical industry or projects related to maintenance, operations, or aeronautical engineering (including fault detection and predictive maintenance) will be highly valued.
We have a very comprehensive Development and Work-Life Balance catalog, such as, among others:
· Continuous training, you will have access to platforms like: Coursera, Udemy, Pluralsight, Harvard Manager Mentor, Education First for languages...
· Flexible Compensation Plan (health insurance, transportation, training, restaurant card or meal subsidy, childcare...)
· Life and Accident Insurance
· 24 vacation days + 2 personal days + December 24th and 31st + option to purchase up to 7 additional vacation days per year.
Why Capgemini Engineering? Our commitments and priorities:
Our Equality Plan and Code of Ethics guarantee inclusive and non-discriminatory processes, promoting talent in a multicultural and accessible environment for people with disabilities (we positively value having a disability certificate).
Capgemini is a global partner in business and technological transformation, helping organizations accelerate their dual transition to a digital and sustainable world, generating a tangible impact on both companies and society. We are a responsible and diverse group, with 340,000 professionals in more than 50 countries. With over 55 years of experience, our clients trust Capgemini to leverage the value of technology and cover all their business needs. We offer comprehensive solutions that range from strategy and design to engineering, driven by our leading capabilities in artificial intelligence, generative AI, cloud, and data, along with deep industry knowledge and a strong network of partners.
Rewrite your future. Join the team!
https://jobeax.com/link/vleEthJC4R94Q0p9
Capgemini Engineering, a world leader in engineering services, brings together teams of engineers, scientists, and architects to help the world's most innovative companies unlock their potential and build a better future. From autonomous cars to wildfire prevention solutions, our experts in digital technologies and software go beyond the conventional, providing unique R&D and engineering services across all industries. Join the team and advance your career in a company with growth opportunities, where you can make a difference and no two days are the same.
We value all applications and offer on-site, online, and certified training. Even if you do not meet 100% of the requirements, we want to meet you!
¿Te apetece sumarte al equipo y crecer profesionalmente en un equipo multidisciplinar trabajando en proyectos tecnológicamente punteros?
Estarás trabajando dentro de nuestra área de data, en un proyecto del sector aeronautico orientado al análisis de datos procedentes de la sensorización de las aeronaves, con el objetivo de desarrollar modelos predictivos que contribuyan a optimizar las actividades de mantenimiento. El trabajo se desarrollará en diferentes streams funcionales relacionados con distintos sistemas del avión, como el tren de aterrizaje, los sistemas de refrigeración o la propulsión, entre otros.
Para sentirte a gusto en la posición es necesario que puedas desenvolverte bien desarrollando, validando y desplegando modelos de Machine Learning, con conocimiento avanzado tanto con Python como con PySpark. También es necesario tener la disponibilidad para poder ir todos los días a las oficinas de Getafe.
Por otro lado, será valorable si tienes experiencia en sistemas industriales (hidráulica, mecánica, procesos de fabricación, mantenimiento o ingeniería) y/o experiencia previa en industria aeronáutica o proyectos relacionados con mantenimiento, operaciones o ingeniería aeronáutica (detección de anomalías, forecasting y mantenimiento predictivo)
Tenemos un catálogo de medidas de Desarrollo y Conciliación muy completo, como por ejemplo y entre otras:
· Formación continua, tendrás acceso a plataformas como: Coursera, Udemy, Pluralsight, Harvard Manager Mentor, Education First para idiomas...
· Plan de Compensación Flexible (seguro médico, transporte, formación, tarjeta restaurante o subvención de comida, guardería...)
· Seguro de Vida y Accidentes
· 24 días de vacaciones + 2 asuntos propios + 24 y 31 de diciembre + opción a comprar hasta 7 días de vacaciones al año.
¿Por que Capgemini Engineering? Nuestros compromisos y prioridades:
Nuestro Plan de Igualdad y Código Ético garantizan procesos inclusivos y libres de discriminación, potenciando el talento, en un entorno multicultural y accesible para personas con discapacidad (valoramos positivamente disponer de certificado de discapacidad).
Capgemini es un socio global en transformación empresarial y tecnológica, que ayuda a las organizaciones a acelerar su doble transición hacia un mundo digital y sostenible, generando un impacto tangible tanto en las empresas como en la sociedad. Somos un grupo responsable y diverso, con 340.000 profesionales en más de 50 países. Con más de 55 años de trayectoria, nuestros clientes confían en Capgemini para aprovechar el valor de la tecnología y cubrir todas sus necesidades de negocio. Ofrecemos soluciones completas que abarcan desde la estrategia y el diseño hasta la ingeniería, impulsadas por nuestras capacidades líderes en inteligencia artificial, IA generativa, cloud y datos, junto con un profundo conocimiento del sector y una sólida red de partners.
Reescribe tu futuro. ¡Únete al equipo!
https://jobeax.com/link/vleEthJC4R94Q0p9
Capgemini Engineering, líder mundial en servicios de ingeniería, reúne a equipos de ingenieros/as, científicos/as y arquitectos/as para ayudar a las empresas más innovadoras del mundo a liberar su potencial y contribuir a un futuro mejor. Desde coches autónomos pasando por soluciones contra incendios forestales, nuestro/as expertos/as en tecnologías digitales y software se salen de lo convencional proporcionando servicios únicos de I+D e ingeniería en todos los sectores de actividad. ¡Únete al equipo y continua tu carrera en una compañía con oportunidades de crecimiento, donde puedes marcar la diferencia y donde ningún día es igual al anterior.
Valoramos todas las candidaturas y ofrecemos formación presencial, online y certificaciones. Aunque no cumplas el 100% de los requisitos, ¡queremos conocerte!
You'll most likely need Spanish to apply.This job was automatically translated to English, .
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