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 Business line/Function :
GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai.
Job Title:
Data Scientist (Tabular & Text)
Date:
Department:
Front Office Support
Location:
Mumbai
Business Line / Function:
Global Markets – Data & AI Lab
Reports to:
(Direct)
Grade:
(if applicable)
(Functional)
Number of Direct Reports:
NA
Directorship / Registration:
NA
Position Purpose
Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation.
As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects.
At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses.
Responsibilities
1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring.
2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements.
3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality.
4. Documenting each step of the development and informing decision makers by presenting them options and results.
5. Ensure the integrity and security of data.
6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones.
Technical & Behavioral Competencies
1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field.
2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra.
3. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions.
4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data.
5. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain).
6. Ability to write clear and concise code in python.
7. Intellectually curious and willing to learn challenging concepts daily.
8. Knowledge of current Machine Learning/Artificial Intelligence literature.
Skills Referential
Behavioural Skills:
Ability to collaborate / Teamwork
Critical thinking
Communication skills - oral & written
Attention to detail / rigor
Transversal Skills:
Analytical Ability
Education Level:
Bachelor Degree or equivalent
Experience Level
At least 1 year
