Company Description At Coface we make trade happen everyday Coface is a team of 5 200 people of 80 nationalities across nearly 58 countries all sharing a corporate culture across the world Together we work towards one objective facilitating trade by helping our 50 000 corporate clients develop their businesses With 80 years of experience Coface is a leader in the credit insurance and risk management market We have also developed a range of other value-added services including factoring debt collection Single Risk insurance bonding and information services As a close-knit international organisation at the core of the global economy Coface offers an enriching work experience on several levels relational professional and cultural Every day our teams are making trade happen Join us 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 Ideal Candidate Profile Must have a background in Computer Science Hands-on experience in Machine Learning and Natural Language Processing NLP Solid 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 About role 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 Qualifications Bachelor s or master s degree in computer science academic background in Data Science supervised and unsupervised machine learning natural language processing 0 to 3 years experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices Experience of Docker Kubernetes deployment and cloud applications desirable Use of Linux and Git Practice of SQL and experience with NoSQL databases document graph Autonomy curiosity rigor Additional Information 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

📌 Data Scientist (Maharashtra)
🏢 Coface
📍 Maharashtra