Role: Data Scientist Start Date: ASAP Location: Osterley Duration: 10 weeks initially The client is a large entertainment organisation; they excite and inspire customers with leading innovations and technologies in the entertainment industry. They strive to be the best for customers and the people working for them. They are always looking for ways to improve. That spirit has made us what we are today, and it will drive us to become what we want to be tomorrow. If you are a data scientist looking for an opportunity to work in a highly successful firm, with an appetite of innovation alike start-ups and deep technical expertise in building successful hardware and software products - then this could be the opportunity you've been waiting for! What we would like to see: * Design/implementation experience with Machine Learning, Artificial Intelligence and Deep Learning solutions. * Strong programming ability in one of the following languages -Python, C/C++, Java. * Experience in Audio /speech signal and /or natural language processing. Ideally experience is in commercially deployed solutions or alternatively, strong academic research/published work. * Experience with Machine learning tools (TensorFlow, Keras, PyTorch etc.) * Experience of/with ML Ops - building data pipelines and/or monitoring for Production deployments and scheduling training jobs. * Ability to work well within a team of business and technical subject matter experts from non-ML/ non-Data science background. Desirable requirements * Knowledge of Machine Learning and Deep learning frameworks and algorithms, * Experience or interest in creating frameworks to support simulations and proto-typing. * Cloud computing, Big Data for machine learning and Production deployments. * Have working experience |AI/ML best practices. * Have experience investigating, proposing, and implementing new algorithms and technologies to enhance analytics capabilities. * Experience using and adapting to new technologies. * Ability to think strategically about technical challenges in context of business and product. Please submit CVs!