Combine meaningful purpose and building your career at Axionable
Axionable is a sustainable consulting firm (B-Corp certified), specializing in technology consulting for sustainability.
Joining us means evolving in a human-sized company, committed and in transition, which allows you to combine career, technology and purpose.
Axionable’s expertise are at the crossroads of 3 areas: consulting, sustainability and artificial intelligence/data.
Grow at the forefront of our clients’ technological transformation challenges using data and AI technologies, our historical core expertise.
Increase your skillset and expertise on the entire value chain of data and AI, based on the state of art of data & AI (LNE certification, Label IA).
Acquire knowledge and learn technological tools using a wide range of technical stacks such as distributed computing, NLP, cloud platforms, languages/libraries, explainability, storage and/or visualization, microservices.
Take part in the sustainable transformation journey of our clients through impactful projects and/or for actors of the transition.
Contribute by being an active individual player in the transition of a committed and ambitious organization, both externally and internally (exclusion policy, % of sustainability, CSR strategy and objectives, CSR taskforce, etc.).
Work in a transparent, inclusive and friendly work environment and thrive in the positive atmosphere that defines us!
Promote diversity and social inclusion:
we target 50% of the team members will be women in 2025,
versus 38% in 2022 ans 18% in 2020.
100% of the team trained each year
Boost your career
Being surrounded by a legitimate and pedagogical team, bringing together a wide range of expertise: consulting, sectorial, technical, sustainability, management.
Benefit from a continuous upskilling through our methodologies, our client’s projects and our training programs (AxioSkills), knowledge sharing (AxioREX, Tech talks, Sustainability talks) and career development (AxioTalent).
Our jobs :
ML Engineer, Consultant IA Business,
Data Scientist, Data Engineer,
Data Architect, Data Full Stack,
DevOps, DPO, Consultant Sustainability…