Data Scientist

MISSION :

• You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
• You design and fully develop solutions that can implement AI technologies.
• You contribute to technology watch

About the role:

This role is open in Mumbai and Bangalore, with the final location depending on the selected candidate. 

The use cases for data science are varied and lead to concrete implementations. Here are some examples:

• Score the risk of corporate failure in every country
• Extract information from images, documents and web scrapping
• Build knowledge graphs from corporates linkages
• Specialize search engine and language models in identifying companies
• Generate visual and textual explanations for AI model predictions

MAIN RESPONSIBILITIES:

• The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
• The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
• Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.

• Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing
• Must have a background in Computer Science
• The candidate should have 2+ yrs of experience into Data Scientist
• Hands-on experience in Machine Learning and Natural Language Processing (NLP)
• Strong Python development skills, with a focus on writing high-quality, maintainable code.
• Familiar with code reviews and continuous integration (CI) best practices.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Exposure to cloud-based applications and deployment workflows.
• Proficient in SQL and NoSQL databases, including document and graph-based systems.
• Comfortable working in Linux environments and using Git for version control.
• Demonstrates autonomy, curiosity, and rigor in problem-solving and development.

• Flexible working model after the 1st month
• Great place to work: central and modern office 
• Opportunities to learn: budget every year for training, languages platform, e-learning platform, dedicated development program…
• Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field
• Health care