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Manager Data Scientist > Joboolo BE :


Company : KPMG
Location :
From : Talent BE

A wide range of teambuilding activities and social events that enable new joiners to meet colleagues within the wider KPMG community and have some fun along the way.#lighthouse#technology LocationZaventem HQ 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.jsThe desire to learn and growA positive, collaborative, and flexible mindsetKnowledge of dutch is a big plus We offer 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 KPMGContributing to the growth of our project portfolioMentoring colleaguesStepping ito conversations with clients, and translating their business needs into Artificial Intelligence solutionsGathering and organizing dataDeciding on an analytical approach, and executing the analysis with a good eye for detail, all the while efficiently working towards the best possible solutionCommunicating with clients:

absorbing their thoughts, convincing them of the strengths of your modelsBringing your model into production – and communicating with specialist IT profilesCreating and maintaining good relationships with stakeholders – clients, vendors, KPMG colleagues,…
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