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Descripción Del Puesto


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We are looking for an experienced Data Scientist manager. A talented, fun, collaborative person willing to bring added knowledge to our Data & AI Group. If you thrive working with the most important Iberia companies in the evolution of their digitalization strategy and implementing new data&analytics architectures … then, we’d like to meet you!

Your work:

Iberia market unit – working for our top clients, developing their data and AI strategy, bringing new offerings and opportunities to growth our applied intelligence business.

Your role:

What responsibilities will you have?

Data&AI professionals help clients implement corporate strategies, make strategic decisions, structure effective business and operating models, and transform their businesses all in an effort to grow their business while maintaining or reducing costs.


What skills & experience are we looking for?

Basic Qualifications

  • Bachelor’s / Masters or MBA’s degree
  • Proficient in English (written and oral)
  • Minimum of 6 years working in analytics or related business transformation
  • Minimum of 6 years in strategy or management consulting

Preferred Skills

  • Prior consulting experience preferred
  • Exceptional presentation skills – ability to convey technology and business value propositions
  • Ability to understand and apply statistical methods and outputs to create client value in a business context
  • Value based constructs

Technical Skills

  • Advanced Data Analytics Techniques: Proficient in applying advanced analytics techniques, such as machine learning, predictive modeling, and statistical analysis, to extract meaningful insights from complex datasets.
  • Programming Proficiency: Strong programming skills in languages such as Python or R, with the ability to write, optimize, and troubleshoot code for data analysis and model development.
  • AI Model Deployment and Integration: Experience in deploying machine learning models into production environments and integrating them into existing business processes, ensuring seamless implementation of AI solutions.
  • Data Architecture and Engineering: Basic knowledge designing data pipelines to ensure efficient data processing and storage for analytics purposes.
  • Data Governance and Ethics: In-depth understanding of data governance principles and ethical considerations in handling and analyzing sensitive information, ensuring compliance with regulatory standards.

Professional Skill Requirements

  • Ability to understand the new digital challenges
  • Ability to provide solutions to complex business problems where analysis of situations requires an in depth knowledge of organizational objectives
  • Ability to understand business context and develop strategic solutions regarding analytics and AI;
  • Define value opportunities to transform data into valuable and actionable insights
  • Support data scientist transforming analytical outcomes into business insights
  • Enthusiasm in executing AI organizational transformation;
  • Proven ability to build, manage and foster a team-oriented environment
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Enthusiasm in supporting peers in designing proposals;
  • Confident and articulate in discussions with C-Level audience;
  • Entrepreneurial spirit and vision
  • Excellent communication (written and oral) and interpersonal skills
  • Excellent leadership and management skills
  • Strategic Thinking, Proactivity and Curiosity

We offer:

  • Life, medical, and accident insurance, along with other wellness programs.
  • Tailored career plan and development opportunities.
  • Language training and other customized learning programs.
  • Additional vacation days and the possibility of a reduced work schedule.
  • Flexibility and remote work options.
  • State-of-the-art offices in the city center
  • International professional network.


Barcelona, Madrid

La Vida en Accenture


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Tómate tu tiempo para formarte y desarrollarte ya sea en nuestros centros regionales de aprendizaje, a través de las aulas conectadas, cursos online o paneles de aprendizaje.

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