Artificial intelligence: what are the recruit sectors, shortage positions?

According to a study, the adoption of AI technologies by French companies remains behind in relation to our European neighbors.

Artificial intelligence: behind this term which makes the buzz, a little tote, hides a real economic and technological reality.More and more products and services (simultaneous translation, chatbots, voice transcription...) but also business processes (production, optimization, predictive models, market analysis...) Base on the association of several technologies (Big Data, Machine Learning...) that make up AI.

According to a study by Michael Page, world revenues linked to this sector were to represent $ 156.5 billion in 2020, an increase of 12.3% over a year.This figure should double by 2024 to reach 300 billion.

36% of companies use at least IA technology

In France, the adoption rate (at least one AI technology used) is 36% against 42% in Europe on average.A delay which is explained according to the study by the difficulty in recruiting profiles having the suitable skills, and the lack of internal skills (cited by 57 and 45% of the companies questioned).

Result, according to a report by the European Commission, many technical skills in AI are small in France: 44% in Big Data, 44% in machine learning and modeling for example.

However, the study stresses that technical competence is not an end in itself in the face of the issues and needs of the company."In addition to technical skills undeniably linked to AI and data professions, companies need candidates with real business, communicators and agile understanding, capable of making the operational environment for whichThey develop solutions, "said Amélia Fanchette, manager at Michael Page Technology.

Strong remuneration but for protean profiles

Indeed, according to the needs of a company, its size, its technological maturity too, the sought -after profile will differ.Similarly, the attachment of expertise, to the marketing management or to the CIO, will directly impact the mission and the skills sought.AI needs are therefore not exclusively technological but multidisciplinary.

That said, what are the skills today the most difficult to find (and their remuneration outside bonuses according to the experience)?

1. Ingénieur Programmation Linguistique (30 à 50.000 euros par an)
2. Ingénieur, analyste, consultant Data (35 à 80.000 euros par an)
3. Ingénieur DataOps (38 à plus de 80.000 euros par an)
4. Ingénieur/Développeur IA (36 à plus de 80.000 euros par an)
5. Responsable protection des données (38 à 85.000 euros par an)
6. Ingénieur Machine Learning (40 à 90.000 euros par an)
7. Consultant Data Visualisation (38 à 100.000 euros par an)
8. Chef de Projet (70 à 100.000 euros par an)
9. Architecte Data (70 à plus de 100.000 euros par an)
10. Chief Data Officer (80 à 150.000 euros par an)

In terms of the most demanding sectors, not surprisingly, information technology (IT) is the most advanced in terms of AI adoption with 63 % of players in the sector already using at least one technology related to AI.

Finance and next insurance big recruiter

Industry is one of the most in advance sectors with 47 % adoption of AI -related technology and 27 % of two or more.

The health sector is also one of the spearheads.Already used in the medical field (assisted operations, companion or intelligent prostheses), AI is and will be at the heart of the medicine of the future.

The finance and insurance sector has conditions favorable to increased AI use thanks to the volumes of data available, from banking transactions."It is therefore not surprising that 30 % of players in the sector plan to integrate AI technologies into their operation, and that 40 % already use at least one," said the study.