Job Specifications
About Umicore
Reducing harmful vehicle emissions. Giving new life to used metals. Powering the cars of the future. As a global materials and technology group, we apply our specialist knowledge to offer materials and solutions that are needed to everyday life. We strive to be a clear world leader in materials for clean mobility and recycling and have turned our sustainability approach into an even greater competitive advantage. With ambitions like this, imagine what you could do?
What You Will Be Doing
As an associate data scientists, you will be part of the Umicore data science team, situated at Umicore Corporate Research department (Olen, Belgium). This central competence team is aimed to be at the forefront of AI and successfully apply data driven modelling techniques towards the business units. In the data science competence team, you will be exposed to various data science techniques such as: vision algorithms, time series forecasting, transformers, genAI, reinforcement learning and more.
Together with a multi-disciplinary project team, you will deep dive on concrete business objectives and create new models to address these. It will be your responsibility to explore and invent new methods and models which address the business objectives. Your prior experience in creating data driven models and natural interest in the latest technology trends allows you to bring state of the art models to the business.
Your detailed responsibilities
As a Data Scientist, you will…
Carry out data science modelling from data exploration to building and training customized machine learning models
Provide technological foresight to inspire the business on potential opportunities of AI.
Collaborate with different functional teams to implement data-driven models into production and ensure continuous improvements
Work with stakeholders across the organization to achieve end-to-end model life cycle management: ideation, modelling, deployment, operations, domain experts.
Be involved in setting technological roadmaps.
Who We Are Looking For
Master’s degree in computer science, applied mathematics or engineering with relevant data science specialization
At least 3 years of prior experience in data science
Thorough knowledge of machine learning techniques (clustering, decision tree, artificial neural networks, etc.) and their real-world advantages or drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, discriminant analysis, etc.)
Good coding knowledge and hands-on experience in Python
Prior modelling experience in the field of supply chain optimization or market forecasting is a plus.
Understanding of cloud deployment, experience in Azure Databricks, MLflow and Azure Machine Learning (preferred)
Interest in and past exposure to industrial activities, processes and technology
Good oral and written English communication skills. Dutch is an asset
Flexibility to work mainly in Olen and at least once a month in Hoboken office.
What We Offer
A hybrid work model : 3 days from the office and 2 days from home
We aim to lead the way. Not just for our customers, but for our employees too. That is why we strive to create a collaborative environment in which we can all succeed, and a culture through which we can all share ideas, develop our expertise and advance our careers. As you would expect from a world-leading organization, we will also reward your contribution with a competitive salary and benefits. With all this and more, imagine what you could do?
If our pioneering approach can make us a leader in sustainability, IMAGINE WHAT YOU COULD DO?
About the Company
We innovate from within and drive the science of change. You cannot see us, yet we are part of your everyday lives. We reduce harmful vehicle emissions, give new life to used metals, power the cars of the future...
We believe in the power of materials technology to create sustainable value for people and planet., tackling the global trends of today and tomorrow.
Our products and services accelerate the transformation to carbon free mobility, deliver the next-generation of advanced materials and drive the world towards a ci...
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