Reuters is seeking a Data Scientist to design and implement AI solutions that enhance how the newsroom delivers news to the right people at the right time, supporting both global newsrooms and the strategy of Reuters' news production.
Requirements
- Demonstrable experience in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.
- Demonstrable, applied experience in ML, deep learning or Computer Vision
- Have demonstrated expertise in machine learning and artificial intelligence tasks such as feature engineering, image processing, NLP, or model training.
- Knowledge and experience with recent machine learning frameworks
- Demonstrated experience in building and maintaining high quality, robust and maintainable code
- Experience in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure
- Ability to work with large data sets, including preparation, labelling, and analysis tasks
Responsibilities
- Work as part of a collaborative team that works closely with the CTO on both AI and non-AI software products that power Reuters’ global newsrooms in real-time.
- Work in both a strategic and practical manner, building great news solutions that will aid the way in which Reuters newsrooms use video, photo and text multimedia when getting crucial information around the world at high speed.
- Use your analytical skills to gather and prepare datasets whilst training analytical models. This work will be key to Reuters’ delivery of news to its different global audiences, but will also be key to our understanding of how our audiences are using and consuming news.
- Assist with evaluating systems, including the use of performance metrics that allow different business units to make great strategic decisions in a technological space.
- Be a great listener and problem solver. You’ll work closely with both editorial and technological stakeholders internally to understand pain points, areas for innovation, and will establish the best course of action, in building and delivering practical, innovative solutions with its users’ needs at heart.
Other
- Comfortable with Agile practices
- Comfortable with giving web presentations on investigations or work
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
