Senior/Expert Data Scientist –
Want to help shape the bank of tomorrow today?
At the bank for a
changing world, our employees make change their greatest asset, turning
challenges into opportunities. They think ahead to offer our customers creative
solutions which are perfectly suited to their needs. At BNP Paribas Fortis, the
country’s number one bank, employees enjoy ongoing career growth in a
meaningful, rewarding and flexible working environment.
The A&AI tribe (Analytics & Artificial Intelligence) has
the objective of transforming data into valuable information to improve
business. We are looking for someone with a strong understanding of the
challenges related to this field to join our team.
Your future job!
The A& AI tribe
is looking for a Senior Data Scientist (seniority rhymes with knowledge and
experience) with a proven track record in the field of Data Analytics and
Artificial Intelligence and innovation. As a Data Scientist, you will have
the opportunity to apply and develop your skills in several domains:
diversified business problems like credit card fraud detection, targeted
marketing, money-laundering detection, price optimisation, text categorisation
and more, all across different business lines such as Fraud, Risk, Human
Resources Management, Operations and Marketing
with diverse analytical methodologies, including statistical/machine learning,
forecasting, survival analysis, optimisation, text mining, process mining,
graph analysis, big data algorithms and technologies, social media analysis,
spatial analysis, recommendation systems, web analytics and so on (we don’t
expect you to be an expert in all of them, but rather that you have strong core
expertise and the ability to learn new stuff when needed).
the fruits of your work directly to the top management.
- Access one
of the richest volumes of varied data in the market and apply your skills to
- Evolve in an
environment where innovation and lean processes are praised, straight-forward
communication is encouraged, and peers understand the meaning of team up.
- Work with a
team of colleagues who are ready to collaborate and to share their experience.
Highlight your strengths!
You take pride in the following knowledge and experience that you have
already acquired, which are indispensable for this role. Requirements for this
You have at least a Master’s degree in a quantitative discipline, such
as statistics, mathematics or engineering (a PhD is considered an advantage).
Candidates with other academic backgrounds with substantial knowledge of
analytics and Machine Learning Techniques are also encouraged to apply.
You have at least 5 years of relevant experience in Data Analytics and AI, ideally, but not necessarily,
in the financial sector (less experience will be accepted if your academic
credentials compensate for lack of professional experience).
You have fluent knowledge of English and a good level of French and/or
You are proficient in some of the programming languages that are used in
Data Science, such as R or Python, both in a single server setup as well as in
a distributed setup (e.g. with Spark).
Deeper expertise in either text analytics or distributed computing
(clusters, NoSQL databases, Spark) is considered a strong plus.
In a changing world,
diversity and inclusion are core values. At BNP Paribas Fortis, we want to
attract and retain women and men of all ages, from all backgrounds, each with
her or his own experience. We truly believe that diversity increases
performance and creativity. All our offers for full-time positions are also
available for 90% or 80% full-time equivalent.
What does BNP Paribas Fortis offer you?
We believe that our
evolution is driven and inspired by our employees. In return, we aim to provide
optimal working conditions that enable you to develop on both a professional
and personal level. We offer a challenging working environment in which you are
going to have a real impact within our company. You can actively shape your
benefit package to respond to your individual needs.
Tempted by the challenge?
Passionate about this
role? Do not hesitate to apply online: we’d love to hear from you!