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Data Scientist

Last update 28.02.2024

Job Description

About BNP Paribas Group:

BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees. The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking & Services) and Corporate & Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate & Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region.

About BNP Paribas India Solutions:

Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions.

About Businessline/Function :

The Data and Artificial Intelligence LAB is a team with the mandate to leverage the latest techniques of Machine Learning for the benefit of Global Market Business. Today we are a team of around 30 Data Scientists based in Paris, London, Frankfurt, Lisbon, New York and Singapore and now expanding to Mumbai.

Job Title:

Data Scientist




Front Office Support / Global Prime Finance



Business Line / Function:

Front Office Support / Global Prime Finance

Reports to:




(if applicable)




Number of Direct Reports:


Directorship / Registration:


Position Purpose

Our goal is to deliver Machine Learning based solutions for the Global Market activity. Our main sponsors are trading, sales, structuring or strategists.

We use Machine Learning in four different type of context:

-        To automate some easy and repetitive tasks, freeing up some time of our users to concentrate of more challenging tasks

-        To speed up or simplify some process: Machine Learning can help to replace a task already automated but slow and heavy by something faster or easier to maintain: indeed sometimes it is easier to maintain data examples, than maintaining some code !

-        To scale a process well done by humans but requiring a lot of time to take a decision: in this case we use Machine Learning to pre-process as much as possible the information and present it in a digestible manner, allowing him to take faster decisions, to be more systematic and to scale to more situations or opportunities. Large Language Models like ChatGPT will be a key enabler for those tasks

-        To predict what may happen in the future, by ingesting large amount of data in a very short time, a task that is usually extremely difficult for a human. It is usually based on time series.



1.      Manage the local Mumbai data science team.

2.      Deliver machine-learning based solutions for the business of global market and for its functions

3.      Maintain proper collaboration and communication with the rest of the team world-wide

4.      Deliver and maintain proper code following the LAB and Light IT guidelines and best practices of DevOps and MLOps

5.      Provide support for the daily production of the models delivered by the Mumbai team but potentially as well for other models during Asian time.

6.  Contribute to the weekly education forum of the global team where we review external innovation on AI space

Technical & Behavioral Competencies

  1. Significant Experience in machine learning
  2. Significant Experience in Python programming (or other programming languages)
  3. Excellent communication skills, show initiative to engage with teams spread across regions.
  4. Attention to detail, ability to raise problems immediately to the broader team when necessary

Specific Qualifications (if required)


Skills Referential

Behavioural Skills: (Please select up to 4 skills)

Ability to collaborate / Teamwork

Critical thinking

Communication skills - oral & written

Attention to detail / rigor

Transversal Skills: (Please select up to 5 skills)

Analytical Ability

Ability to understand, explain and support change

Ability to develop and adapt a process

Ability to develop and leverage networks

Ability to anticipate business / strategic evolution

Education Level:

Master Degree or equivalent

Experience Level

At least 5 years

Other/Specific Qualifications (if required)


Discover the different professions within BNP Paribas: IT, Tech and Data

BNP Paribas is not just a financial services group. We’re also a tech company. Information systems, data and tools are central to our DNA, and offer a very broad range of career opportunities!

Find out more

Why should I apply?

Basically, why would you want to join BNP Paribas over any other company?


  • What if we told you that working in our Group isn’t quite what you might think? At BNP Paribas, we do a multitude of different jobs that are constantly evolving to meet the expectations of our clients and society as a whole. Whether through everyday tasks or major projects, doing one of our jobs means making a personal commitment to taking sustainable action.

  • Feeling good about your job means bringing your whole self to work and being who you are. It’s also about having the resources you need to achieve a healthy work-life balance. Both of these are major commitments at BNP Paribas.

  • At BNP Paribas, developing your skills is as important to us as it is to you. And the skills you learn with us will help you through the rest of your working life.

Find out more