Data Scientist
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Key skills for this role
About the Role
BNP Paribas is seeking an AI/ML Specialist to join the Analytics Lab, designing and implementing AI/ML solutions for the bank. You will work with internal clients, deploy models, and stay current with GenAI developments.
Key Skills for This Role
Responsibilities
- Design, implement, and rigorously evaluate AI/ML solutions aligned with the bank's strategy and goals
- Work with the business to translate their requirements into high impact AI/ML solutions
- Stay current with the latest technical developments in GenAI, AI, and ML and identify opportunities to apply them
- Communicate technical concepts and results to non technical stakeholders clearly and concisely
- Collaborate with internal clients to identify new opportunities for ML applications and models
- Work with Application Development teams to deploy and support ML models in production environments
Requirements
- Master's degree or above in a quantitative field (e.g., Computer Science, Engineering, Operations Research, Statistics, or Mathematics)
- Hands on experience contributing to data science, machine learning, deep learning, or GenAI projects in Python
- Demonstrable portfolio of data science / machine learning projects
- Hands on experience with ML frameworks (scikit learn, PyTorch) and/or GenAI/Agentic frameworks
- Command of at least one data analysis library (pandas, SQL, Spark, Dask)
- Experience with visualization libraries (matplotlib, seaborn, plotly)
- Experience with version control (git), Linux environment, and command line interfaces
- Professional working proficiency in English
Full Job Posting
The position at a glance
- The Analytics Lab is BNP Paribas CIB’s center of excellence in AI/Machine Learning, responsible for spearheading the bank’s AI transformation initiatives.
- You will join a stimulating work environment, tackling high impact projects where you can showcase your technical expertise.
In detail
- Design, implement, and rigorously evaluate AI/ML solutions aligned with the bank's strategy and goals.
- Work with the business to translate their requirements into high impact AI/ML solutions.
- Stay current with the latest technical developments in GenAI, AI, and ML and identify opportunities to apply them.
- Communicate technical concepts and results to non technical stakeholders clearly and concisely.
- Collaborate with internal clients to identify new opportunities for ML applications and models.
- Work with Application Development teams to deploy and support ML models in production environments.
Minimum Required Qualifications
- Master's degree or above in a quantitative field (e.g., Computer Science, Engineering, Operations Research, Statistics, or Mathematics).
- Hands on experience contributing to data science, machine learning, deep learning, or GenAI projects in Python.
- Demonstrable portfolio of data science / machine learning projects.
- Hands on experience with ML frameworks (scikit learn, PyTorch) and/or GenAI/Agentic frameworks.
- Command of at least one data analysis library (pandas, SQL, Spark, Dask).
- Experience with visualization libraries (matplotlib, seaborn, plotly).
- Experience with version control (git), Linux environment, and command line interfaces.
- Professional working proficiency in English.
Nice to have Qualifications
- Experience with Natural Language Processing (NLP).
- Experience with modern RAG techniques.
- Experience parsing complex documents.
- Experience in deploying models to production.
- Experience with CI/CD pipelines (GIT, Jenkins) and MLOps (MLFlow).
- Experience with containerization techniques (Docker & Kubernetes).
- Experience with mentoring junior team members.
What’s In It For You
- Competitive compensation and flexible benefits including family and spouse insurance program.
- Defined contribution pension plan and paid days for volunteering.
- Hybrid work arrangements with in office presence required a minimum of 3 days per week.
- Excellent training and personal development programs, and opportunities for career development within the company and internationally.
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