Job Title: Data Scientist
Department: Front Office Support
About Business line/Function: Global Markets – Data & AI Lab
Position Purpose:
We are, among other things, building models to improve the service we give to our clients (issuing recommendation, anticipating their needs, bringing the relevant research…), to help traders better understanding and managing their risks or leverage alternative data sources (social media, news, images…) for the benefit of our strategists.
We are looking for candidates with education in data science, who not only have experience in solving complex problems but as well understand how and why the model work the way they do.
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 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. Minimum 1 year of experience in the same field.
3. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra.
4. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions.
5. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data.
6. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain).
7. Ability to write clear and concise code in python.
8. Intellectually curious and willing to learn challenging concepts daily.
9. Knowledge of current Machine Learning/Artificial Intelligence literature.
Skills Referential (Required knowledge, skills and abilities)
Technical Skills:
- Python (clean/concise code), Git, NumPy, pandas.
- ML/DL architectures, Neural Networks, custom loss functions, data representations, model fine-tuning (Tabular and Textual data).
- PyTorch, scikit-learn, Hugging Face, LangChain, Transformers, Unsloth.
- Probability Theory, Linear Algebra, Statistical methods for Machine Learning.
- Data collection & feature engineering, model evaluation, monitoring, and deployment.
Behavioral Skills:
- Good communication skills
- Critical thinking
- Ability to Collaborate / Teamwork
- Attention to detail / rigor
Education Level: Bachelor’s or Master’s in any of the STEM fields
Location: Bangalore
About BNP Paribas Group:
BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability.
About BNP Paribas India Solutions:
Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank 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 10000 employees, to provide support and develop best-in-class solutions.
Commitment to Diversity and Inclusion
At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.
