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Data Scientist - Song

Accenture
Accenture
Madrid, SpainOn-siteCompetitiveAdded yesterdayMidPermanentRemote: Hybrid

This job was originally posted in Spanish and automatically translated to English.

Requirements

• Professional experience developing Machine Learning solutions with Python.
• Experience in supervised and unsupervised algorithms.
• Experience in the full model lifecycle.
• Experience in Cloud environments.
• English level B2-C1

Benefits

Health, Life, and accident insurance
Medical service and wellness programs
Flexible remuneration program and stock purchase
Flexibility programs (scheduling, days off, vacations...)
Individualized training itinerary
Sustainability programs and Accenture Foundation
Employee diversity network
Other benefits: Bankinter Office with special conditions and profit sharing

Job Description

Accenture Song is the Accenture unit that combines creativity, data, technology, and design to create relevant and scalable customer experiences.

Within this context, we are looking to incorporate an MLOpsEngineer -Consultant profile to participate in the design, industrialization, and operation of advanced MachineLearning models, aligned with data-driven business solutions and complex digital ecosystems.

Functions:

• Development, training, and evaluation of supervised and unsupervised Machine Learning models using Python.

• Implementation of feature engineering processes, model fitting, performance monitoring, and detection and adjustment of data/model drift.

• Development and integration of MLOps solutions in Cloud architectures, with a special focus on AWS.

• Collaboration with data science, engineering, and business profiles.

Responsibilities:

• Design and maintain production-oriented Machine Learning pipelines.

• Implement CI/CD practices applied to analytical models.

• Monitoring the performance of models in production.

• Apply security, logging, and compliance criteria.

Essential Requirements:

• Professional experience developing Machine Learning solutions with Python.

• Experience in supervised and unsupervised algorithms.

• Experience in the full model lifecycle.

• Experience in Cloud environments.

• English level B2-C1

Desirable Requirements:

• Experience in AWS SageMaker.

• Development of ML Pipelines.

• Workflow orchestration.

• Experience in Martech.

• Experience in the financial/banking sector.

At Accenture, a company recognized as a Great Place To Work®, we believe in a hybrid work model that, thanks to technology and our facilities, allows us to maintain the essential human connection to work with our teams and clients. A connection that allows us to maintain our culture of inclusion and diversity and be, according to Refinitiv, the most diverse company in the world.


Additionally, we offer other BENEFITS such as:

  • Health, Life, and accident insurance

  • Medical service and wellness programs

  • Flexible remuneration program and stock purchase

  • Flexibility programs (scheduling, days off, vacations...)

  • Individualized training itinerary

  • Sustainability programs and Accenture Foundation

  • Employee diversity network

  • Other benefits: Bankinter Office with special conditions and profit sharing

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against for their differences. All employment decisions will be made regardless of age, race, creed, color, religion, sex, national origin, ancestry, disability, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship, or any other criteria protected by applicable law. Our rich diversity makes us more innovative, competitive, and creative, which helps us better serve our clients and communities.

View original advert (Spanish)

Accenture Songes la unidad de Accenture que combina creatividad, datos, tecnología y diseño para crear experiencias de cliente relevantes y escalables.

Dentro de este contexto, buscamos incorporar un perfilMLOpsEngineer -Consultantpara participar en el diseño, industrialización y operación de modelos de MachineLearningavanzados, alineados con soluciones de negocio data-driveny ecosistemas digitales complejos.

Funciones:

• Desarrollo, entrenamiento y evaluación de modelos de Machine Learning supervisados y no supervisados utilizando Python.

• Implementación de procesos de feature engineering, model fitting, monitorización de rendimiento y detección y ajuste de data/model drift.

• Desarrollo e integración de soluciones MLOps en arquitecturas Cloud, con especial foco en AWS.

• Colaboración con perfiles de data science, ingeniería y negocio.

Responsabilidades:

• Diseñar y mantener pipelines de Machine Learning orientados a producción.

• Implementar prácticas de CI/CD aplicadas a modelos analíticos.

• Seguimiento del rendimiento de modelos en producción.

• Aplicar criterios de seguridad, logging y compliance.

Requisitos imprescindibles:

• Experiencia profesional desarrollando soluciones de Machine Learning con Python.

• Experiencia en algoritmos supervisados y no supervisados.

• Experiencia en ciclo de vida completo del modelo.

• Experiencia en entornos Cloud.

• Nivel deinglésB2-C1

Requisitos valorables:

• Experiencia en AWS SageMaker.

• Desarrollo de ML Pipelines.

• Orquestación de workflows.

• Experiencia en Martech.

• Experiencia en sector financiero/banca.

En Accenture, compañía reconocida como Great Place To Work®, apostamos por un modelo de híbrido de trabajo que, gracias a la tecnología y a nuestras instalaciones, nos permiten mantener la conexión humana esencial para trabajar con nuestros equipos y clientes. Una conexión que nos permite mantener nuestra cultura de inclusión y diversidad y ser, según Refinitiv, la empresa más diversa del mundo.


Además, te ofrecemos otros BENEFICIOS como:

  • Seguro médico, de Vida y accidentes

  • Servicio médico y programas de bienestar

  • Programa de retribución flexible y compra de acciones

  • Programas de flexibilidad (horaria, de días libres, vacaciones...)

  • Itinerario formativo individualizado

  • Programas de sostenibilidad y Fundación Accenture

  • Red de empleados por la diversidad

  • Otros beneficios: Oficina Bankinter con condiciones especiales y reparto de beneficios

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Declaración de igualdad de oportunidades en el empleo

Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.

Application managed by Accenture