Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Python TSQL Git Machine Learning Power BI Office

Introduction to role:

This role is based in Barcelona, with an on-site commitment of three days a week. Fluency in English is required.

Are you ready to revolutionize patient safety? As an AI & Automation Scientist in Patient Safety, you´ll be at the forefront of automating data analysis from clinical trials, safety databases, literature, and real-world data. Your mission? To harness statistical, visual analytics, and AI/ML modeling techniques to create data science workflows that evolve into rules-based automation and AI agent tasks. Collaborate with stakeholders in the patient safety organization to tackle priority safety problems, design workflow strategies, and validate tools for optimal results. Partner with drug projects and R&D colleagues to support pharmacovigilance analysis and address health authority queries. Bring your blend of AI and data modeling skills, scientific domain knowledge, and commercial acumen to tailor analytics approaches for impactful outcomes.

Accountabilities:
- Develop and implement analytic solutions using statistics, machine learning, and visualization skills to address patient safety problems.
- Collaborate closely with Patient Safety teams to understand priorities and anticipate changing needs.
- Translate complex safety questions into data science problems, predictive models, statistical tests, and analytical solutions.
- Extract, transform, clean, and integrate relevant data for model development.
- Apply best practices in programming, including documentation, validation, and version control.
- Implement appropriate methods for data analysis and interpret results in partnership with PS stakeholders.
- Design complex search strategies leveraging public and proprietary content sources for regulatory and drug safety experts.
- Respond rapidly to safety-related queries from internal colleagues and external partners.
- Handle sensitive clinical information in compliance with governance and regulatory standards.

Essential Skills/Experience:
- BSc/MSc/Ph.D. degree in medical, life sciences, computer science, applied statistics, or related quantitative field.
- Ability to learn fast and implement analytics solutions by selecting the right set of tools.
- Experience utilizing automation and AI agent tools such as Microsoft Power Automate and Microsoft Copilot Studio.
- Experience with visual analytics tools including Power BI.
- Functional expertise in programming, especially Python, SQL, git and AI-powered command-line interfaces such as Claude Code or Codex CLI.
- Experience using a testing-harness to drive LLM prompt development.
- Strong understanding of AI/ML concepts, general methodologies, and the AI development lifecycle.
- Proven record of implementing analytical solutions to address research/business problems.
- Experience of working in a matrix environment with multiple stakeholders.
- Outstanding communication, presentation, and interpersonal skills.

Desirable Skills/Experience:
- Experience in data visualization techniques addressing complex data sets using ADaM and SDTM data formats.
- Experience in pharmacovigilance or clinical safety within the pharmaceutical industry or a regulatory agency.
- Highly developed analytical and conceptual thinking.
- Experience with system validation, data governance, data privacy, and cybersecurity considerations in a regulated industry setting.
- Proven ability to critically evaluate AI/ML methodologies from a clinical and patient safety perspective.
- Experience working across different geographic locations, organizations, and cultures.
- Exerting Influence Without Authority.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That´s why we work, on average, a minimum of three days per week from the office. But that doesn´t mean we´re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are driven by science and innovation with a bold vision to eliminate cancer as a cause of death. Our team is dedicated to pioneering new frontiers in oncology research, fusing cutting-edge science with the latest technology to achieve breakthroughs. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we are committed to delivering new molecular entities by 2025. Empowered at every level, we make courageous decisions driven by patient outcomes. Join our collaborative research community where academia meets industry to expedite research in some of the hardest-to-treat cancers. Here you can build a rewarding career while improving the lives of millions.

Ready to make an impact? Apply now to join our team!

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo . Python TSQL Cloud Coumputing R Spark Big Data Machine Learning Power BI Tableau

En Logista, tendrás la oportunidad de llegar tan lejos como te propongas. Aprenderás a diario y aportarás valor en un entorno profesional, sólido, diverso, sostenible y tecnológico colaborando con equipos de alto rendimiento. Si buscas dar un salto profesional, vivir nuevas experiencias y estar en constante crecimiento, este es tu lugar. A nosotros nos motiva que consigas éxitos y sobre todo disfrutes del camino ¿y tú? ¿te animas a sumarte a este viaje?

Logista es el distribuidor líder a comercios de proximidad en Europa y está especializada en la distribución a canales de proximidad. Sirve regularmente a más de 200.000 puntos de venta en España, Francia, Italia, Portugal, Polonia y Países Bajos. Facilita el mejor y más rápido acceso al mercado de una amplia gama de productos de conveniencia, farmacéuticos, recarga electrónica, libros, publicaciones, tabaco y loterías, entre otros. Logista cuenta con un equipo de profesionales altamente cualificados integrado por más de 8.000 empleados directos y 15.000 colaboradores, centrados en dar servicio a sus clientes del modo más eficiente y adaptado a sus necesidades.

En el departamento de Business Analytics impulsamos la transformación digital de los diferentes negocios del grupo, ayudándoles a procesar, analizar y extraer el máximo valor de los datos que generan. En el equipo de Advanced Data Solutions, del que formarías parte, lideramos el desarrollo de algoritmos, la aplicación de modelos estadísticos e IA y el diseño de visualizaciones de datos. Trabajamos en una amplia variedad de proyectos incluyendo estimaciones estadísticas de mercados, predicción de la demanda de productos, creación de motores de recomendaciones para compra online, segmentaciones de clientes, simulaciones mediante gemelos digitales, automatizaciones de procesos y mucho más.

Buscamos reforzar el equipo de Advanced Data Solutions con un Científico de Datos con experiencia en programación y aplicación de modelos de Machine Learning con un alto enfoque a las necesidades tácticas y la creación de rentabilidad para los negocios. En concreto realizarás las siguientes tareas:

• Comprender las necesidades de los negocios en cuanto a la explotación de su dato y traducirlas a propuestas de valor concretas.
• Realización de Data Discovery, siendo capaz de digerir conjuntos de datos nuevos y complejos para facilitar su entendimiento.
• Entrenamiento y despliegue de modelos de Inteligencia Artificial en sentido amplio (Machine Learning, Deep Learning, GenAI, etc).
• Tareas de preparación y limpieza de datos: integración de información procedente de distintas fuentes, selección y transformación de variables, aplicación de técnicas de muestreo y segmentación de datos.
• Creación de análisis e informes para transmitir los resultados obtenidos.
• Planificación y liderazgo de proyectos de datos para lograr el debido cumplimiento de los requisitos de los negocios maximizando el ROI.
• Apoyo y formación a los distintos equipos de analítica del grupo en el uso de herramientas de analítica, metodologías de desarrollo y MLOps.

Requisitos necesarios:

• Grado universitario en Ingeniería, Informática, Matemáticas, Estadística, Física o similares.
• Al menos 2 años de experiencia de análisis de datos en entorno empresarial.
• Fuerte orientación a resultados y al negocio.
• Experiencia práctica en proyectos de analítica avanzada con Python y/o R, así como en las diversas librerías de Data Science (Pandas, SKLearn, Caret, Keras/TF/Pytorch, Transformers, etc).
• Experiencia con algoritmos de Machine Learning (tanto de aprendizaje supervisado como no supervisado).
• Experiencia en el uso del lenguaje SQL y nociones sobre el modelado de datos.
• Conocimiento de herramientas de visualización de datos como Power BI, Tableau, etc.
• Nivel alto de inglés.

Otros Valorables:

• Experiencia en liderazgo de proyectos de datos.
• Máster o estudios de postgrado en Data Science, AI, Big Data o similares.
• Experiencia o conocimientos sobre plataformas de datos cloud como Snowflake, Dataiku, Databricks, etc.
• Experiencia o conocimiento sobre redes de GenAI (langchain, promt engineering, despliegue y productivizacion, etc).
• Experiencia o conocimientos sobre la metodología de experimentación A/B testing.
• Experiencia o conocimientos sobre frameworks de procesamiento de datos distribuidos como Snowpark o Spark.

Unirte a Logista significa:

• Formar parte de una empresa líder en su sector.
• Trabajar con los mejores profesionales y especialistas del mercado.
• Apostar por la innovación tecnológica.
• Colaborar en un ambiente internacional gracias a nuestra presencia en 7 países europeos.
• Tener un aprendizaje continuo, crecimiento y desarrollo profesional.
• Mejorar la calidad de vida gracias a los mejores beneficios.

Qué te ofrecemos:

• Medidas de conciliación: política de teletrabajo, flexibilidad horaria, jornada intensiva los viernes, en navidad, semana santa y verano, días festivos extra.
• Gran ambiente de trabajo.
• Estabilidad laboral.
• Tarjeta restaurante.
• 5 días de teletrabajo al mes.

Si quieres sumarte al viaje, ¡inscríbete en la oferta!

Logista | Your partner along the way, all the way.

• Somos una compañía que ofrece igualdad de oportunidades y fomenta la diversidad y el respeto a la diferencia en nuestra empresa. No toleramos ningún tipo de discriminación basada en la raza, el color, la expresión de género, la identidad de género, la etnia, la religión, la clase social, la política, la ciudadanía, la orientación sexual, el estado civil, la discapacidad o cualquier otra causa.
• Nos aseguramos de que las personas con discapacidad reciben las adaptaciones necesarias para participar en el proceso de selección, así como para desempeñar las funciones propias su puesto de trabajo. Ponte en contacto con nosotros si necesitas transmitir cualquier petición en este sentido.

• Nivel de experiencia---
• Tipo de contratoConsultor
• PublicadaNueva

. Agile Jira Office Machine Learning

• Location: Spain, Barcelona
• Target start date: 01/03/2026
  
  

iMove, the Sanofi VIE Program, is available to citizens of the European Economic Area (EU + Norway, Liechtenstein and Iceland) aged between 18 and 28.

PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.

PLEASE NOTE that applications that are only submitted in French cannot be considered by our non-French speaking partners at Sanofi worldwide. Therefore, only applications that are submitted in English will be considered. Please make sure to apply with your personal email address.

About The Job

As Junior Digital Product Owner - Patient Experience VIE for the Patient Find and Diagnose Product Line you will contribute to developing and scaling digital solutions that help identify patients faster and connect them with the right treatment, at the right time.

Ready to get started?

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

• Support the definition and execution of the strategy for the implementation of Patient Find & Diagnose digital solutions across Global Business Units.
• Work with internal stakeholders (commercial, medical, data science, regulatory, legal, etc.) to align product features with strategic objectives and regulatory requirements.
• Collaborate with cross-functional teams to explore and validate the use of EHR data and predictive algorithms to improve patient identification and support data-driven clinical decision-making within CarePathway solutions.
• Translate business needs into clear product requirements, manage product backlogs, and ensure continuous prioritization and delivery within agile teams.
• Analyze product performance metrics, collect end-user feedback, and implement iterations to improve adoption, usability, and patient outcomes.
• Stay up to date with market trends and innovations in digital diagnostics and patient engagement, applying best practices to enhance Sanofi's digital health portfolio.
• Assist in the preparation of product documentation, training materials, and cross-team communications.
  
  

Experience

About you

• Prior experience in digital health or MedTech sector.
• Exposure to Artificial intelligence/ machine learning (AI/ML) applications, electronic health record (EHR) systems, or patient journey optimization is highly valued.
• Additional training or interest in product management, or related, is a plus.
  
  

Soft And Technical Skills

• Solid understanding of digital product development and agile methodologies.
• Strong analytical, organizational, and problem-solving skills; ability to translate user and business needs into digital product features.
• Comfortable working with multidisciplinary teams across business, clinical, data science, and regulatory functions.
• Excellent communication and interpersonal skills; able to collaborate with stakeholders at different levels and across geographies.
• Curious and self-driven; quick to learn and eager to take ownership in a fast-paced environment.
• Strong customer focus and a passion for using technology to improve patient outcomes.
• Proficiency with tools such as Jira, Confluence, Microsoft Office, or equivalent platforms.
  
  

Education

• Bachelor’s degree required; Master’s degree in Computer Science, Life Sciences, Biomedical Engineering, or related field.
  
  

Languages

• Fluent English (written and verbal).
  
  

Why choose us?

• Be part of a pioneering biopharma company where patient insights shape drug development.
• Work at the forefront of AI-powered science that accelerates discovery and improves outcomes.
• Collaborate beyond your expertise, sparking new ideas with diverse, multidisciplinary teams.
• Make your work count by supporting a company that brings life-changing treatments to millions - and is committed to doing right by patients, communities, and the planet.
• Drive progress from within by helping simplify, scale, and modernize how a global biopharma business delivers smarter, faster, and more sustainably.
• Support teams across science, medicine, and operations by building better systems, shaping bold strategies, and enabling innovation at speed.
• Make an impact across borders and functions, collaborating with leaders to turn complex challenges into real-world solutions.
  
  

iMove is a unique program tailored for European youth interested in challenging themselves with meaningful assignments across the globe. At Sanofi we have a strong ambition to invest in young talents who will drive the success of Sanofi tomorrow.

Sanofi’s Work Abroad Program, iMove, offers jobs-assignments with actual responsibilities and a perspective to grow. We provide those opportunities in various functions such as: marketing, finance, regulatory, supply chain, clinical trials, production, etc. and in more than 40 countries. Sanofi unites people who are passionate about solving healthcare needs across the world. Joining our iMove Work Abroad Program is a unique opportunity to make a difference through your work.

nullPursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 dic.

Teletrabajo . Python TSQL Azure Cloud Coumputing Kubernetes AWS Machine Learning

¡Ampliamos nuestro equipo! 🔎

¿Buscas un nuevo reto donde desarrollar tu carrera y aprender nuevas tecnologías? Entonces sigue leyendo porque esto te puede interesar.

Scalian es una empresa de más de 6.000 personas con una dimensión internacional, con oficinas en Europa y América del Norte. Estamos especializados en dar servicios a diferentes clientes enfocados en Data, Cloud e Inteligencia Artificial.

¿Qué buscamos?

Buscamos un Machine Learning Engineer para integrarse en nuestro equipo de profesionales para un proyecto en el Sector Ferroviario. Utilizarás un stack tecnológico moderno, basado principalmente en: Python y SQL.

Requisitos mínimos:

• Experiencia desarrollando pipelines de datos, manipulando grandes volúmenes de información y construyendo modelos de machine learning tradicionales y deep learning.
• Capacidad para consultar, transformar y optimizar datos en bases de datos relacionales.
• Creación de dashboards que permitan visualizar insights y resultados de modelos.
• Manejo de herramientas para el versionado, tracking y despliegue de modelos.
• Trabajo colaborativo con control de versiones en entornos de desarrollo.
• Experiencia trabajando en equipos ágiles y organizando entregas incrementales.

Requisitos valorables:

• Despliegue y orquestación de modelos en contenedores dentro de Azure Kubernetes.
• Experiencia general en plataformas como Azure, AWS o GCP.
• Conocimiento en la automatización y programación de pipelines de datos.

¿Qué tendrás con nosotros?

🚀 Formar parte de un equipo de alto nivel bajo tecnologías punteras en el mercado.

💻 100% Teletrabajo

⛱ 25 días laborables de vacaciones

📝 Contrato indefinido

📚Formación continua, certificaciones, meetups y planes de desarrollo profesional personalizados para que podamos seguir creciendo juntos. Contamos con acceso a plataformas internas con contenido abierto para que lo disfrutes cuando tú quieras y a tu ritmo.

🕐 Jornada completa con horario flexible para facilitar la conciliación entre vida familiar y profesional.

🎉 After works en las oficinas

🎂 La tarde del cumpleaños libre

🏋️ Descuentos en gimnasios

💲Programas de retribución flexible: seguro médico, tarjeta restaurante, abono de transporte, cheques para escuelas infantiles.

🌏Como parte del grupo Scalian, abrimos nuestras fronteras y crecemos internacionalmente.

⚖️ En Scalian valoramos la diversidad e impulsamos un entorno de trabajo inclusivo, donde todas las personas, independientemente de su género, identidad, edad o procedencia, puedan desarrollarse profesionalmente.

♻️ En el grupo apostamos por iniciativas sostenibles.

• ¡Despega en tu carrera con Scalian Spain!✈

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 dic.

. Python TSQL Machine Learning

Tareas

• Análisis del uso que hace el cliente de los datos y estratégia de negocio.


• Detección de oportunidades de explotación de sus datos y de datos externos con alto impacto en su negocio.


• Exploración y análisis de datos, identificación de variables relevantes para resolver retos concretos.


• Estudio y modelización de la estructura global de datos del cliente.


• Construcción de soluciones a problemas de negocio en base a datos de principio a fin (compresión de necesidad, integrción del dato, curación de datos, visualización con herramientas de business intelligence, construcción de algoritmos y modelos predictivos).


• Comunicación de resultados e interacción directa con clientes.

Requisitos

• Titulación: Grado en Matemáticas, Física, Ingeniería, Química. Máster en BI, Business Analytics, Data Science, o experiencia equivalente.


• Nivel de Español hablado y escrito nativo.


• Sensibilidad de negocio y pensamiento estratégico.


• Fuertes habilidades analíticas


• Capacidad de comunicación y presentación de resultados analíticos


• Herramientas: SQL, Python

Beneficios

• Participar en proyectos innovadores en el ámbito del Data Science (nuestra tecnología combina BI con soluciones de machine learning adaptadas a cada cliente y con las que él mismo interacciona).


• Contacto directo con los clientes y acceso a problemas reales a los que se enfrentan las empresas, diseñando soluciones con un alto impacto.


• Formar parte de una startup en crecimiento y colaborar a diario con un equipo de expertos en consultoría estrategia, data science y desarrollo de software en la nube.


• Trabajar con tecnologías de última generación

Beneficios Prenomics

• Horario de trabajo flexible e híbrido


• Suministro ilimitado de bebidas con y sin cafeína


• Horas semanales dedicadas a apreder y discutir nuevas tecnologías


• Sistema de retribución flexible: tickets restaurante y transporte


• Evaluaciones de desempeño, diseño de plan de carrera y revisiones salariales anuales


• Actividades de teambuilding con todo el equipo

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 dic.

Java Agile Scrum REST Oracle Jira Big Data Machine Learning Office

Job Description:

In Airbus Defence and Space, we are looking for an Electronic Warfare Software Architect for the department in charge of Ground Support Systems and Electronic Warfare solutions. The position will be located in Torrejón de Ardoz Air Base (CLAEX).

Our product portfolio enables the whole Mission Management cycle from preparation to debriefing phases. Our vision is to create and operate for military forces, government organizations and nations real-time, collaborative multi-platform mission services.

The successful applicant will join our electronic warfare team, where you will be responsible for the design and development of software assets for Combat and Transport Aircrafts.

RESPONSIBILITIES

- Design, develop and verify software assets according to software requirements.

- Analyze requirements of upper level to design and develop specific technical requirements of lower level covering functional analysis, standards and non-functional requirements.

- Evaluate and select the best technology options to implement the system and fulfil the business requirements according to architecture capabilities.

- Determine the best solution in terms of frameworks, tools, standards and technologies. Choose the best option in an integrated work with the Business unit representatives.

- Identify and design common assets to maximize reuse among the rest of area projects.

- Support activities of upper level (system requirement analysis, architecture and validation).

- Participate in research and technology projects.

SKILLS

- Demonstrable experience in Java technologies (desktop and server development with Swing, JPA, Java SE, Jakarta EE, Oracle, PostGres, EJB, Rest).

- Demonstrable experience in module development with NetBeans RCP.

- Great OO skills and strong design patterns knowledge.

- Experience in service-oriented software architecture.

- Training or experience in software product line engineering.

- Possibility to obtain NATO Secret accreditation.

Desired skills:

- Demonstrable Knowledge of Electronic Warfare (countermeasures, A/C sensors) and/or Mission Support Systems.

- Experience in development with Big Data, AI models and Machine learning (clustering algorithms) knowledge would be a plus.

- Certification or experience in Agile Software Processes (SCRUM).

- You write clean code, know the importance of refactoring, encapsulation, design patterns and other best practices.

- Experience in Geospatial Engine Frameworks (Luciad, OpenMap, ...).

- Application Life Management: Redmine, JIRA, Team Foundation Server.

- Requirement management: DOORS.

Key Soft Skills:

- Strong team work skills and proactive nature.

- Commitment to deliver on quality, cost and schedule.

- Innovation

- Open minded, agile and keen to new challenges

WHICH BENEFITS WILL YOU HAVE AS AIRBUS EMPLOYEE?

At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:
- Vacation days plus additional days-off along the year.
- Attractive salary.
- Hybrid model of working when possible, promoting the work-life balance.
- Collective transport service subject to working calendar/home location.
- Benefits such as life insurance, health insurance, employee stock options, retirement plan, or study grants.
- On-site facilities (among others): free canteen, kindergarten, medical office.
- Possibility to collaborate in different social and corporate social responsibility initiatives.
- Excellent upskilling opportunities and great development prospects in a multicultural environment.
- Option to access special rates in products & benefits.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company´s success, reputation and sustainable growth.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada2 dic.

React Javascript .Net C# Agile TSQL Azure Scrum Cloud Coumputing REST QA Machine Learning Office SQL Server

We are looking for a talented Fullstack Developer to join our dynamic, cross-functional team in Alicante and contribute to the development of our innovative Cybersecurity product. You’ll collaborate with top-tier professionals from Poland, Spain and Denmark, working together to ensure our product is the best in the industry.

This is a hybrid role, requiring you to be on-site at our Spanish office twice a week. If you thrive in a collaborative environment and enjoy working with a global team, we’d love to hear from you!

Your Team

You will be a key contributor in one of our highly skilled cross-functional teams established in Alicante, where you get to develop new features for our Cybersecurity product. You will also work closely with developers from Spain and Denmark via fully integrated scrum teams. You will also be a key contributor and will be responsible for further developing our product.

Responsibilities:

- You will be responsible for developing and maintaining features of our product.
- You will work closely with Product Owner, Scrum Master, Developers, and other colleagues on further product development.
- From the early stages of the feature life cycle doing initial design and estimates, designing new features for product components, and presenting them to architects and the scrum team.
- You will perform peer code reviews and do peer programming sessions.
- You will actively participate in all SCRUM ceremonies, e.g., the sprint planning session where plans are made with the entire team and the PO, and the end-of-sprint demonstrations, where the latest innovations are shared with the larger team.
- You will be a key player in developing the features, and responsible for the quality, working closely together with QA to secure a high quality when we release new features.

Profile:

- Collaborating effectively with cross-functional teams, including designers, product managers, and QA engineers.
- You like to work both as a team member and individually, but you are a team player at heart that is used to work with challenges every day and think out-of-the-box
- You are an independent, responsible, and flexible person with good interpersonal skills, and you are just like the rest of us ambitious and passionate about technology
- Familiar with the latest trends and best practices in software development, ensuring our applications stay innovative and competitive.
- You are willing to work with the latest technology trends, such as Artificial Intelligence and Machine Learning.

Experience:

- At least 3 years experience with C#, .NET development and SQL
- You are experienced in product development and maintenance as well as the agile development life cycle
- Higher IT education such as graduate or master or similar education
- You like to work both as a team member and individually, but you are a team player at heart who is used to working with challenges every day and thinking out-of-the-box
- You are an independent, responsible, and flexible person with good interpersonal skills, and you are just like the rest of us ambitious and passionate about technology

Knowledge and skills:

- C# and .NET
- JavaScript and front-end development (REACT is a plus)
- Microsoft SQL Server or Azure SQL Server
- Test automation (unit, integration, performance, UI testing)
- Cloud development (Azure components like Event Hubs and Azure Functions is a plus)
- Experience with the development of CI/CD pipelines
- Fluent in English, both oral and written.

What we offer:

- Competitive salary & benefits
- Hybrid work policy (2 days per week from the office)
- Internet reimbursement
- Benefit platform
- Support for your ongoing growth & development
- Team-building activities
- Great work environment

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada2 dic.

. Machine Learning

Hello, we’re L’Oréal, We're not just building brands, we're shaping how the world experiences beauty (and it takes a lot of cool jobs to do it). Intrigued? Keep reading, this might be the opportunity you've been searching for.

IT Manager - Digital Transformation & AI — Madrid, Spain

A Day in the Life

You report to the Head of Digital IT Iberia and lead cross-functional digital programs to modernize internal IT processes. The team is international and diverse, blending tech and business profiles.

Your Key Responsibilities Will Be

• Digital Strategy & Roadmap:defineAI pilots, automation, low-codeinitiativesand a pragmatic roadmap tied to business KPIs.
• Process Improvement:runprocess discovery, map workflows, design Lean/Agile enhancements andidentifyRPA/automation opportunities.
• Program Delivery & Governance: coordinate delivery with IT,vendorsand CDMO partners; monitor KPIs, budgets and ROI.
• Change & Adoption: drive stakeholder engagement, runtrainings, measureadoptionand secure business impact.
  
  

We Are Looking For You

Requirements

You are an early-career STEM professional (Master’s) with hands-on IT/digital project experience, eager to take ownership and run endtoend initiatives in an entrepreneurial environment. Fluent English required. Requirements & profile:

• Degree:Master’sin STEM (Computer Science, Engineering, Data Science or equivalent).
• Experience:Previousexperience coordinating cross-functional IT projects, implementing automation/low-code or supporting AI pilots; exposure to vendor management and business stakeholders.
• Core skills: Digital Strategy &Roadmapping; Process Improvement (Lean/Agile); AI / Machine Learning literacy; IT project & program coordination (delivery-focused); Stakeholder & Change Management.
  
  

What’s In It For You

• A place for you to leave your comfort zone and grow beyond your potential (here,you’llbe encouraged to try new things and take risks!)
• Real responsibility from day 1,there’sno sitting on the sidelines at L’Oréal
• An environment where people of every ethnicity, social background, age, religion,genderand sexual orientation as well as people with disabilities are accepted, can speak up, willthriveand are celebrated!
• A place where you can contribute to something bigger! Many of our brands have societal /environmental causes to make concrete difference
  
  

Join us at L’Oréal, the world's #1 beauty company present in over 150 markets. For over a century, we have been transforming; fueled by data, tech, innovation, and science. Together, we tackle big challenges while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.

Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm and is constantly growing. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future.

We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way.

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Teletrabajo . Python TSQL Spark Machine Learning

En Minsait, creemos en el talento que impulsa el cambio. ¡Únete a nuestro equipo como Data Scientist y sé parte de esta transformación!

Sobre el equipo y su impacto

Forma parte de nuestro equipo de analítica avanzada en Indra Mind (la iniciativa tecnológica de Indra Group que desarrolla IA soberana en un entorno ciberresiliente, para la protección integral de nuestros ciudadanos, territorios e infraestructuras y activos críticos, tanto físicos como digitales) Contribuirás a la construcción de soluciones de inteligencia artificial y aprendizaje automático que generan valor real en la sociedad.

Motivos por los que ser parte del equipo:

Entorno humano y retador:

• Equipo excepcional y diverso, en el que podrás colaborar con profesionales especializados y siempre actualizados.

• Entorno que fomenta la innovación, el respeto y el crecimiento conjunto.

• Proyectos únicos y retadores con tecnologías punteras, donde tu talento será protagonista.

Conciliación y Flexibilidad:

• Modelo de teletrabajo híbrido, con cierta presencialidad semanal en nuestras oficinas de Madrid.

• Flexibilidad horaria.

• 32 días laborables de descanso anuales.

• Jornada intensiva en verano y todos los viernes.

Desarrollo Profesional:

• Planes de carrera personalizados que te permitirán alcanzar todo tu potencial.

• Formación continua con acceso gratuito a UDEMY.

Condiciones Competitivas:

• Contrato indefinido y retribución acorde a tu experiencia y perfil.

• Seguro de vida.

• Acceso a planes de retribución flexible: tarjeta restaurante, guardería, transporte y seguro médico privado.

Bienestar Integral:

• Programa de bienestar: acceso a una red de gimnasios, revisiones médicas, fisioterapia en oficina, talleres de salud y servicios de telemedicina en línea.

Lo que harás con nosotros:

• Analizar, diseñar y desarrollar modelos predictivos y algoritmos de machine learning.

• Realizar procesos de limpieza, transformación y exploración de datos provenientes de múltiples fuentes.

• Implementar procesos ETL en entornos distribuidos.

• Colaborar con equipos multidisciplinares para definir casos de uso y soluciones basadas en datos.

• Garantizar la calidad, integridad y seguridad de los datos en línea con las políticas internas.

Lo que buscamos en ti

• Grado en Ingeniería, Matemáticas, Estadística, Informática o áreas afines.

• Mínimo 4 años de experiencia en proyectos de ciencia de datos o analítica avanzada.

• Conocimientos técnicos imprescindibles en Python y Apache Spark para procesamiento distribuido.

• Conocimientos en SQL y bases de datos relacionales y no relacionales.

• Capacidad para obtener el HPS (Homologación de Perfil de Seguridad).

• Disponibilidad para asistencia periódica presencial en las oficinas de Madrid.

• Capacidad analítica, orientación a resultados y trabajo colaborativo en equipos multidisciplinares.

Minsait, technology for a more human future!

Nuestro compromiso es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, procurando el desarrollo profesional de la plantilla y garantizando la igualdad de oportunidades en su selección, formación y promoción, ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, etnia, estado civil o cualquier otra circunstancia personal o social.