You’re passionate about modern data science, staying abreast of the latest news and implementing recent discoveries into your day-to-day work. You’re an innovator. Can we do this better? How can we do things differently? Could we solve this quicker? Your mind is always occupied by these questions about what can be improved with data science. A company scaling on the back of success, expanding across Europe, needs you. They want your thirst for knowledge, the desire to be better, and the confidence to try something new, get it wrong, and try again. Through the innovative products they are building, Artificial Intelligence is becoming more accessible, allowing businesses to enhance their own efficiencies. They achieve better data-driven decisions from the wealth of information provided by the products. Data science underpins all of this. You will be key in developing advanced solutions within data science and machine learning, using your experience of managing others to get the most out of your new team. You’ll inspire them to push boundaries and innovate, ensuring they work to the high standards you set throughout the full lifecycle of artificial intelligence-driven feature development. You're confident in leading multiple projects across teams, allocating resources, and effectively meeting project-related goals. You’ll apply the latest techniques, selecting the appropriate tools to build across each facet of the data pipeline. This includes a healthy amount of Python, SQL, and R, in an AWS Serverless cloud environment. You’ll utilize object-oriented programming and package building, having also had exposure to deep learning and other ML-based methodologies. The organization works in a hybrid model, with in-person collaboration weekly to foster an innovative and inventive culture, bouncing ideas off each other, breaking things, fixing them, and breaking them again. It’s the kind of place where you can just give it a go without the fear of consequences. If you’re excited about bringing forward the future of AI now, then reach out. You’ll join an ambitious team collaborating to push boundaries and get things done now, shaping the future with data science. #J-18808-Ljbffr