Reuters is looking to create artificial intelligence products for Reuters News, and needs a Data Scientist to help design and implement solutions that ensure news gets to the right people at the right time
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
- 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, working closely with both editorial and technological stakeholders internally to understand pain points, areas for innovation, and establish the best course of action
- Create deep learning, machine learning, and artificial intelligence models using state-of-the-art research and cloud platform solutions
- Maintain a special focus on data preparation, testing and evaluation of metric performance
Other
- Bachelor's degree or higher in a relevant field
- Ability to work in a hybrid work model, with 2-3 days a week in the office
- Flexibility to work with large data sets and meet deadlines
- Strong communication and collaboration skills, with ability to work with stakeholders across the organization
- Ability to work in a fast-paced environment and adapt to changing priorities
