Les Défis de l'Omnicanalité dans les Centres de…
Michel de Braey street 52, Antwerp, Belgique
Sia Partners is a specialist Management Consulting firm created in 1999 and has grown into a global firm with approximately 2800 employees and annual revenue exceeding $400m. Our culture is strongly orientated towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Our global presence and our expertise in more than 40 sectors and services allows us to accompany clients worldwide. Using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.
Through Consulting for Good, we put our expertise at the service of our clients' climate objectives and make sustainable development a performance lever for our clients. Our portfolio of offerings is cross-sectors and 17 % of our revenue is generated from engagements with a CSR focus.
What you will do
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia Partners. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Partners Global.
Your responsibilities include:
Who you will work with
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.
Who you are
In return, you can expect:
We are unable to provide a work permit for this position
Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.