Senior Data Scientist

Responsibilities

Direct Responsibilities

They include following activities:

• Define the target architecture
• Design of the associated AI solution to meet user's needs
• Exchange with the various ITG experts to reach the full understanding of AI landscape (Service offers available, technical and security requirements, guidelines, …)
• Launch the Proof of Concept if needed to experiment new models, algorithms, technical assets, …
• Launch the industrialization process following ITG guidelines with the help of the project manager (project launching, instruction, …);
• Support the integration of solutions into the BNPP ITG infrastructure
• Coordinate the testing new solutions with users
• Manage the maintenance of the solutions in Production Environment
• Identify skills needed depending on the characteristics of the project
• Build the staffing accordingly project by project
• Identify potential new skills needed and coordinate with Head of CoE to anticipate needed training / hirings

Contributing Responsibilities

Transversal responsibilities

·       Act as a mentor to other team members being Data Scientists or people within the team engaged in an upskilling/reskilling to AI path

·       Acculturate our F&R-Solutions colleagues and our business partners, on AI capabilities helping them get basic/medium knowledge and enlighten them on its benefits.

·       Act as first point of contacts for local business partners in the collect and first-level assessment of potential AI-eligible needs.

Contributing Responsibilities

• Participating in the "Ideation" phase used to identify pain points and possible topics eligible to AI
• Participate to the technological watch regarding AI at large: new algorithms, new models, new features, able propose up-to-date solutions to our portfolio of projects
• Participate to the Identification of potential new skills/competencies needed and alert Head of CoE accordingly.

Technical & Behavioral Competencies

Candidate must justify relevant experience on following streams: 

·       Minimum of 5 years as Team Leader coordinating team (5 people or more) on implementation and maintenance of IT solutions. Strong knowledge and experience in conducting the different phases of a project (requirements, design, implementation, tests, industrialization, …) is required. Also, significant experience on Agile is needed, especially Scrum methodology.

·       Minimum of 2 years on AI projects having had the opportunity to work on a variety of topics: Machine Learning, NLG, NLP, LLM, MLLM, IDP, OCR, ... pushing those topics to Production environment validating industrialized phase.

Native English is required.