Data Scientist (EN + FR/NL)

ALTEN Luxembourg is a leading consultancy company in the fields of Engineering, Life Science, and IT in which our people and clients are central.

In our open and adaptable organization, we get the best out of our ambitious employees, enabling them to perform optimally. We do this by offering them the most challenging projects, but also to continuously acquire new expertise to boost their careers.

All employees together form a large network of expertise, even at an international level. In this way, we offer optimal growth to our consultants and the best solutions for our customers.

Role Description :

Data Scientists conduct advanced statistical analyses to determine trends and significant

data relationships. Develop machine learning models to apply test data algorithms to future

data; provide guidance to cross-functional leadership regarding data modelling possibilities.

Data Scientists lead the implementation of data modelling solutions; train algorithms to

apply models to new data sets; interpret data to identify trends to go across future data

sets.

Translate business needs into data modelling initiatives; validate models & algorithmic

techniques.

Mandatory Qualifications :

• 3 years of experience as a data scientist,
• Proficiency in English (B2 level of Common European Framework of Reference for
• Languages or equivalent),
• University (PhD, M.Sc.) degree in computer science, mathematics, physics or engineering (or equivalent applied experience),
• 3 years of experience in a role developing predictive or explanatory models and/or experimentation processes,
• Expertise in R, Python, MatLab, SAS and related packages (e.g., PyTorch, Keras, Tensorflow, Scikit-Learn),
• Expertise in at least one production-quality programming language (e.g., Java, Python,
• Scala, C++),
• Expertise with statistical models applied to in financial markets, e.g., Black Scholes equation,
• Experience with neural network and deep learning architectures preferred,
• Experience working with data & analytics frameworks and tooling.
• Core mathematical ability to understand, utilize and innovate on state-of-the art machine learning algorithms and/or statistical modelling,
• Experience building learning systems to analyse and filter continuous data flows and offline data analysis,
• Experience with moderate to large-scale data sets (>10 TB) preferred,
• Exceptional communication skills and business understanding.

If you see yourself while reading these requirements, then you are the one we are looking for!