Manager Data Scientist

Job description

Advisory - Manager


Zaventem HQ

Roles & Responsibilities

In a world where stakeholders are consistently expected to provide more diverse digital experiences, data scientists are continuously challenged – to work is to grow. The KPMG Lighthouse is currently looking for talents in the field of data science, people who are able to exploit data to create smart digital solutions, but who are also able to inspire about the art of the possible.
What is the job about?
  • Contributing to the growth of Advanced Analytics and Machine Learning as a topic and as a competence at KPMG
  • Contributing to the growth of our project portfolio
  • Mentoring colleagues
  • Stepping ito conversations with clients, and translating their business needs into Artificial Intelligence solutions
  • Gathering and organizing data
  • Deciding on an analytical approach, and executing the analysis with a good eye for detail, all the while efficiently working towards the best possible solution
  • Communicating with clients: absorbing their thoughts, convincing them of the strengths of your models
  • Bringing your model into production – and communicating with specialist IT profiles
  • Creating and maintaining good relationships with stakeholders – clients, vendors, KPMG colleagues,…

Skills & Qualifications

The tasks of a data scientist manager are diverse, and we are not looking for the unicorn data scientist, but a mindset focused on learning on the job is vital!
Elements we hope to see in our data scientist managers:
  • Concrete experience delivering concrete AI products.
  • A master degree with strong elements of modern data science techniques: Machine Learning algorithms, coding, statistics,…
  • Other types of eduction are also valued.
  • A sound knowledge of algorithms, and the ability to critically apply this knowledge to practical problems.
  • Knowledge of common data science software. We have a Python-first setup, but will if needed tackle problems using R, SAS, SQL, Spark, and work with tools such as Jupyter Notebooks, IDE’s, Git, Microsoft Azure,
  • Obviously, additional bonus points for PhD’s, and more specific knowledge like e.g. Keras, D3.js
  • The desire to learn and grow
  • A positive, collaborative, and flexible mindset

We offer

At KPMG, we truly believe our people are the heartbeat to our success. We commit ourselves to encouraging true team spirit and creating an international and dynamic working environment in which each can pursue the knowledge needed to boost their career. Additionally, as Top Employer, we highly invest in our people’s development of soft skills and technical knowhow.
In addition to a competitive and attractive compensation package, we offer a great number of extra-legal advantages such as flexible working hours, 27 vacation days, group & hospitalization insurance, company car and fuel card, net allowances, a laptop and iPhone/iPad, as well as the opportunity to shape your compensation package to your needs with our ReFlex@KPMG plan.

Contract type


Full time/ Part time


Position location

Job location

Europe, Belgium

Candidate criteria

Minimum level of experience required

6 to 10 years


  • Dutch (Very good knowledge)
  • English (Very good knowledge)
  • French (Very good knowledge)

General information



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