Senior/Expert Data Scientist – M/F/X
Want to help shape the bank of tomorrow
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:
- Address 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
- Work 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).
- Communicate 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 it.
- 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!
take pride in the following knowledge and experience that you have already
acquired, which are indispensable for this role. Requirements for this
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
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).
have fluent knowledge of English and a good level of French and/or Dutch.
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).
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!