Accenture is a leading global professional services company that provides a vast range of services in strategy, consulting, technology, and operations. With a workforce of over 700,000 people serving clients in more than 120 countries, it is a powerhouse in digital transformation, cloud services, and cybersecurity. The company is recognized for its massive scale and its ability to integrate business and technology to drive value for the world's largest organizations.

In Spain, Accenture is one of the largest private employers in the professional services sector, maintaining a significant presence across several regions including Madrid, Barcelona, and Málaga. The company is highly attractive to international professionals due to its diverse project portfolio, multicultural teams, and structured career development paths. It frequently recruits for specialized roles in Industry X, Salesforce, and cloud engineering, often serving as a major entry point for foreign talent into the Spanish corporate landscape.

Originally the consulting arm of Arthur Andersen, the firm became independent in 1989 as Andersen Consulting. It officially rebranded to Accenture in 2001 and has since grown into a global leader through organic growth and hundreds of strategic acquisitions.

Data Scientist - Song

Accenture

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

Job Description

Accenture Song accelerates growth and value for our clients. It is the place where professionals reimagine industries, products, and services spanning from ideation to execution.

We do this through growth, product and experience design; technology platforms; creative, media, and marketing strategy, as well as the orchestration of campaigns, content, and channels. Visit us at: www.accenture.com/song"

Responsibilities:

Develop data solutions that combine data science, data engineering, and AI agents oriented toward business use cases.
Work with Python for analysis, data processing, and the development of analytical components.
Participate in initiatives related to LLMs and generative artificial intelligence.
Build, test, and evolve solutions on Amazon Bedrock.
Work on an integrated client data platform, including informational, modeling, artificial intelligence, and sandbox capabilities.
Explore, prepare, and analyze data to generate insights and support analytical solutions.
Collaborate with technical and functional teams to ensure the correct implementation of solutions in a corporate environment.
Ensure quality, traceability, and applicability of developments in a production context.
Perform exploratory analysis and track results of analytical developments where applicable.

Requirements:

2-3 years of experience in Data Science, Data Engineering, AI Engineering, Machine Learning, or Advanced Analytics.
University degree in Engineering, Mathematics, Statistics, Computer Science, Physics, or similar. Additional training in data science, machine learning, or artificial intelligence.
Previous experience in cloud environments and enterprise data platforms.
Languages: strong proficiency in Python for analysis and development of data solutions; knowledge of SQL for data querying and exploitation will be valued. Knowledge of front-end development in React, Vue, or similar will be valued.
AI / LLMs: knowledge or practical experience in LLMs and generative artificial intelligence use cases. Experience with tools such as Claude Code, Codex, or similar will be valued.
Cloud: knowledge of AWS (Bedrock, S3, Sagemaker, etc.).
Analytical modeling: experience in the development of analytical or machine learning solutions applied to business will be valued.
Knowledge of agile methodologies will be valued.
Professional level of English (B2-C1)

Soft skills:

Learning capacity: speed in adapting to platforms, processes, and client needs.
Rigor and attention to detail: focus on quality, traceability, and applicability of developments.
Stakeholder collaboration: ability to work with technical and functional teams within the client's ecosystem.
Communication: ability to explain analysis, progress, and results clearly.

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 human connection essential for working 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:

Medical, Life, and accident insurance
Medical service and wellness programs
Flexible remuneration program and stock purchase
Flexibility programs (hours, 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 Song acelera el crecimiento y el valor para nuestros clientes. Es el lugar donde los profesionales reimaginamos las industrias, productos y servicios abarcando desde la ideación hasta la ejecución.

Lo hacemos a través del crecimiento, diseño de productos y experiencias; plataformas de tecnología; estrategia creativa, de medios y de marketing, así como la orquestación de campañas, contenidos y canales. Visítanos en: www.accenture.com/song"

Funciones:

Desarrollar soluciones de datos que combinen ciencia de datos, ingeniería de datos y agentes IA orientadas a casos de uso de negocio.
Trabajar con Python para análisis, tratamiento de datos y desarrollo de componentes analíticos.
Participar en iniciativas relacionadas con LLMs e inteligencia artificial generativa.
Construir, probar y evolucionar soluciones sobre Amazon Bedrock.
Trabajar sobre una plataforma de datos integrada del cliente, incluyendo capacidades informacionales, de modelado, inteligencia artificial y sandbox.
Explorar, preparar y analizar datos para generar insights y soportar soluciones analíticas.
Colaborar con equipos técnicos y funcionales para asegurar la correcta implantación de soluciones en entorno corporativo.
Asegurar calidad, trazabilidad y aplicabilidad de los desarrollos en un contexto de producción.
Realizar análisis exploratorios y seguimiento de resultados de los desarrollos analíticos cuando aplique.

Requisitos:

2-3 años de experiencia en Data Science, Data Engineering, AI Engineering, Machine Learning o Analítica Avanzada.
Titulación universitaria en Ingeniería, Matemáticas, Estadística, Informática, Física o similar. Formación adicional en data science, machine learning o inteligencia artificial.
Experiencia previa en entornos cloud y en plataformas de datos empresariales.
Lenguajes: buen dominio de Python para análisis y desarrollo de soluciones de datos; se valorará conocimiento de SQL para consulta y explotación de datos. Se valorará conocimientos de desarrollo front end en React, Vue o similar.
IA / LLMs: conocimiento o experiencia práctica en LLMs y casos de uso de inteligencia artificial generativa. Se valorará experiencia con herramientas como Claude Code, Codex o similar.
Cloud: conocimiento de AWS (Bedrock, S3, Sagemaker, etc).
Modelado analítico: se valorará experiencia en desarrollo de soluciones analíticas o de machine learning aplicadas a negocio.
Se valorarán los conocimientos en metodologías ágiles.
Nivel de inglés profesional (B2-C1)

Soft skills:

Capacidad de aprendizaje: rapidez para adaptarse a plataformas, procesos y necesidades del cliente.
Rigor y atención al detalle: foco en calidad, trazabilidad y aplicabilidad de los desarrollos.
Colaboración con stakeholders: capacidad para trabajar con equipos técnicos y funcionales dentro del ecosistema del cliente.
Comunicación: capacidad para explicar análisis, avances y resultados de forma clara.

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

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.