.Job Overview As a Data Scientist, you are a critical member of our Machine Learning & Decision Automation capability. Working from Fast Prototype through to the full CRISP-DM delivery approach, you independently solve large, complex business problems using Algorithms, Advanced Analysis, Machine Learning, Neural Nets and Artificial Intelligence. As one of our leading thinkers in Data & Analytics, you will share your knowledge & expertise with others across the organization and work with some of our most senior stakeholders. What you'll do Combine your domain knowledge, experience of quantitative and statistical methods as well as expertise in Data warehousing and Data engineering to deliver compelling outputs that clients understand. Be a driven learner, capable of identifying your own areas of self-development and then leveraging the team's expertise to build your Data Science knowledge and skills. Be a patient & capable teacher & leader, able to effectively negotiate complex projects and deliver significant outcomes for senior, and potentially difficult, clients. Understand and solve complex business problems – across product features, player behavior, available data sets & client personalities. Use a combination of web metrics, customer data, financial reporting and third-party research data in your work, sometimes having to build your own integrations to get access. Experiment with different approaches to solving business problems, using a wide variety of techniques (everything from linear regression to deep learning) and implementation technologies from R & Python to deep learners, neural nets, and big data ML libraries such as Spark. Show a high level of self-direction – you are responsible for your own backlog quality, and will need to manage your own day-to-day tasks with alacrity. Perform deep statistical analysis to validate report findings and test hypotheses from business stakeholders. Proactively structure analyses from hypothesis development to modelling to support business decisions. Ensure that our stakeholders become 'data driven' and that Sr. business leaders are able to harness Machine Learning in their decisions and the products that they create. Present work back to senior stakeholders, and translate complex problems & esoteric technical solutions for a business audience. Work closely with the entire Analytics department to construct, manage and maintain a project priority list, and a repository of completed work to be shared with key partners in the organization. Working with other business units and stakeholders across the organization, you will combine data sources to create an environment for testing ad-hoc, complex and ambiguous data sets to model various business outcomes. What you'll bring Personable character and a good communicator – ability to communicate complex, technical concepts to non-technical staff