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 grow our applied intelligence business.
Your role:
What responsibilities will you have?
Data & AI managers will combine team management, technical oversight, and leading commercial proposals.
What skills & experience are we looking for?
Basic Qualifications
* Bachelor’s / Master’s or MBA degree
* Proficient in English (written and oral)
* Minimum of 6 years working in Data & AI or related business transformation
* Minimum of 6 years in strategy or management consulting
Soft Skills
* Exceptional presentation skills – ability to convey technology and business value propositions
* Excellent communication (written and oral) and interpersonal skills
* Excellent leadership and management skills
* Strategic Thinking, Proactivity, and Curiosity
Strategic skills:
* Ability to understand new digital challenges, industrial & business context, and develop strategic solutions regarding Data & AI, including Generative AI
* Support data scientists in transforming analytical outcomes into business insights
Technical Skills
* Advanced Data Analytics Techniques: Proficient in machine learning, deep learning, and Generative AI.
* Programming Proficiency: Strong skills in languages such as Python, with the ability to write, optimize, and troubleshoot code for data analysis and model development.
* AI Model Deployment and Integration (MLOps): Experience in deploying models into production environments and integrating them into existing business processes, ensuring seamless implementation of AI solutions.
* Data Ethics: In-depth understanding of ethical considerations in handling and analyzing sensitive information, ensuring compliance with regulatory standards.
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