Data&AI Consultant
Role details
Job location
Tech stack
Job description
Data&AI consultant will combine delivery team leadership and delivery execution, combining with active participation in commercial proposals.
Requirements
· Bachelor's / Masters or MBA's degree
· Proficient in Spanish and English (written and oral)
· Minimum of 1 year working in Data&AI or related business transformation
· Minimum of 1 year 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
Strategical skills:
· Ability to understand the new digital challenges, understand industrial & business context and develop strategic solutions regarding Data&AI, including Generative AI
· Working as data scientist transforming analytical outcomes into business insights
Technical Skills
· Advanced Data Analytics Techniques: Proficient in machine learning, deep learning and Generative AI.
· Programming Proficiency: Strong programming 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.
What's in it for you:
Join the Artificial Intelligence Team for a challenging and rewarding career where the variety of opportunities and projects allows you to develop your potential and grow professionally every day. The only place where you can learn from our unrivalled experience, working alongside over 100 data scientists and Data Engineers, 20% of which are PhD's in the areas of Mathematics, Computer Science, Physics or Statistics.
