• McKinsey & Company – Laureati in Ingegneria

Cost Engineering Analyst - Product Development - Wrocław, Poland

Women@McKinsey Dissertation Award

Hai svolto una tesi su argomenti di Advanced Analytics e Machine Learning? Potresti diventare la prossima Data Scientist di McKinsey & Company.


Cerchiamo brillanti laureande e neolaureate che abbiano svolto la loro tesi su argomenti di Advanced Analytics e Machine Learning e abbiano conseguito una laurea magistrale, un master o un dottorato negli ultimi due anni o entro fine 2018 nel caso delle laureande.

Cerchiamo candidate interessate a perseguire opportunità professionali nel mondo della Data Science, sviluppando progetti di Advanced Analytics end-to-end in un contesto dinamico, collaborativo e meritocratico, trovando soluzioni innovative per le maggiori aziende e istituzioni a livello mondiale. Read more

McKinsey & Company: “WomEngineering” – Kitzbühel, Austria from March 16 to 18, 2017

McKinsey & Company’s Operations Practice invites female students and experienced professionals from across Europe to be inspired and make a difference!

Are you enthusiastic about engineering and the impact women can deliver in topics related to operations? Could you be passionate about transforming our clients’ operations?

McKinsey strongly believes in developing outstanding female leaders. We do so every day, both internally and with our clients.

In an exclusive 2,5-day workshop in Kitzbühel, Austria from March 16 to 18, 2017, McKinsey offers you – talented women from across Europe – the opportunity to gain insights into the daily work of our Operations Practice consultants as well as to enjoy the beautiful winter landscape of Kitzbühel.

We invite applications from talented women based across Europe, who are:

  • Current students working towards a bachelor’s/master’s degree, MBA, or PhD, with an engineering or business background
  • Experienced professionals with work experience in the field of operations.

Candidates should apply via our “WomEngineering” website: https://womengineering.mckinsey.com/.