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The Spanish industry is looking for 90,000 expert professionals in AI and data

The big data and the Artificial intelligence they will be increasingly decisive in the future of the business sector. This means that, over the next few years, companies will need to have among their teams expert professionals capable of dealing with matters related to these two technologies without difficulty.

In this sense, from India, the Spanish association of Artificial Intelligence for the industry, formed by EIGHT large Spanish companies, Repsol, Gestamp, Navantia, Técnicas Reunidas, Telefónica, Microsoft, Airbus and Ferrovial, point out that during the next three years only companies in the sector will need more than 90,000 expert professionals in data and Artificial Intelligence. Its function: to be able to carry out its projects, boost the country’s economy and be able to compete with other international organizations.

These are the 12 most demanded profiles over the years, according to the association.

Machine Learning Engineer

Professional included in IT environment which focuses on researching, building, and designing self-executing artificial intelligence (AI) systems to automate predictive models. In addition, they design and create AI algorithms capable of learning and making predictions. They have to operationalize and optimize the models and algorithms developed.

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Data Architect

Professional who is in charge of defining the data strategy, including the implementation and management of artificial intelligence (AI) architectures, creating an integrated systems management to centralize, protect and maintain data sources. It requires extensive knowledge of business intelligence platforms, architecture standards, as well as enterprise architecture and systems architecture.

data engineer

Professional responsible for designing, building, testing, and maintaining data architecture (i.e., large-scale processing databases) and data processes that enable most functions in the data world, for which it will be required Extensive knowledge of relational databases.

As well as being able to assemble a large volume of complex data, meeting non-functional and functional business requirements as well as determining data storage needs. It will also be your responsibility to build the necessary infrastructure for the optimal extraction, transformation and loading of data from various sources, with the aim of achieving high scalability, efficient data delivery in automatic processes.

IoT Specialist

Expert professional in finding connectivity solutions between processes. He knows communication protocols, as well as the main components of a network and has knowledge about the software that connects the IT world with the OT world. His basic programming skills allow him to make the connection between these two worlds. In addition, he can establish cybersecurity standards and is capable of auditing and making proposals for his assurance.

data scientist

Professional specialist in data management who is responsible for collect, analyze and interpret large complex data sets to develop data-driven solutions and solve tough business challenges. You will develop models (descriptive, predictive or prescriptive) and statistical learning tools for data analysis including machine learning algorithms.

data visualizer

Professional responsible for the creation and visual editing of the content, performing the extraction, transformation and loading of the data set into maps or graphs, dashboards or more visual reports that serve the rest of the organization in their interpretation and allow decision making. .

Cat Governance Specialist

Professional specialist who will ensure the data availability, their integrity, usability and their security. It will facilitate the mechanisms and guidelines based on principles and best practices for the effective exercise of data governance. It will be in charge of the transversal coordination of businesses and functions for the exploitation and democratization of data.

data owner

Specialist professional who will guarantee the quality and consistency of the data, ensuring that they are suitable for use within the scope of the organization’s needs in the most flexible and effective way possible to achieve their maximum value in accordance with company policies and with third parties.

Business Data Translator

Professional who has Sufficient business and technical knowledge to express the needs of the organization in a language that is valid so that the data scientist can make the models or algorithms that meet the requirements.

Data Science Citizen

Professional with in-depth knowledge of the organization’s business, who is capable of performing simple predictive analytical models. Due to her high knowledge of the business, she is able to present the results in the most appropriate way, so that decision-making is easier.

Industry 4.0 specialist

Mainly industrial professional, with skills that drive digital transformation and change management processes. He knows what the enabling technologies are in industry 4.0 and is capable of proposing solutions (at a high level) for each use case.

data analyst

Professional with great knowledge of the business who collects, processes and manages relevant data for the company, being in charge of its statistical analysis with the aim of drawing conclusions that allow decision-making and value contribution. They lean on business intelligence platforms and all its capabilities for data analysis

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