Machine Learning Engineering Intern

Are you passionate about Machine Learning, NLP, and cutting-edge analytics? SCOR's Data Analytics team is at the forefront of transforming the insurance industry through AI-driven solutions. As part of the Knowledge division, our experts-data scientists, researchers, and software engineers-collaborate to develop smart and efficient tools for insurers and reinsurers.

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

The data analytics team is SCOR's center of expertise on advanced analytics topics (including Machine Learning, Natural Language Processing) applied to insurance. As part of the Knowledge division, it has the responsibility to enhance SCOR's data capabilities in order to create the insurance of tomorrow. The team is composed of data scientists, researchers and software engineers who team up to produce smart and efficient tools for insurers and reinsurers.

Your position will be based in Paris and it can be either an internship having a duration up to 6 months or an apprenticeship. As a Machine Learning Engineer, you will contribute to the development of our code base stored on GitLab. You will be responsible for applying code best practices enforced inside the team and communicate with other team member. As the projects portfolio is regularly updated, the internship/apprenticeship missions will be discussed with the candidates during the interviews. The internship project themes will potentially involve model optimization for production, model deployment, code quality, MLOps, infrastructure, …

Key duties and responsibilities

• Participate in the development of core modules of our product
• Produce Enterprise grade code
• Optimize the performance of the code
• Communicate your results with the team
  

Benefits
The team offers:

• Agile environment with 2 weeks sprints
• A friendly and experienced team of developers
• Learnings on coding best practices and infrastructure as code
• A modern scalable Cloud Native solution: Kubernetes, Docker, Helm

Must have:

• Programming experience in Python, C or C++: unit tests, web framework, …
• Fluent in English
• Basic knowledge in machine learning
• Serious, hardworking and curious

Nice to have:

• Experience with code in production