Data Scientist

Location \- London 2 days Rate \- upto £540 Umbrella EXPERIENCE, QUALIFICATIONS AND SKILLS \-Skills in Python or R (preferably both) \-Excellent organisational skills, both in version control (i.e. git), documentation, and prioritisation \-Excellent data literacy, data wrangling, exploratory data analysis skills, and statistics \-Ability to use modern data visualisation tools alongside storytelling to deliver compelling insights \-Machine learning on real\-world data, both supervised and unsupervised, especially in using regression or other causal inference methods on hypothesis \-Curiosity and empathy in a problem\-space, in turning a business problem into a data solution \-Experience or demonstrable interest/potential talent in the analysis of HR datasets \-Excellent understanding of SQL and databases \-Strong background in academic research, or experience in reading and interpreting academic research. \-Ability to manage and/or collaborate with cross\-functional teams across geographies through influence \-Excellent written communication and presentation skills to a wide range of internal and external audiences, including executive level, with ability to summarise technical concepts to a non technical or generalist audience. \-Self starter, resilient and tenacious with focus on execution and delivery \-Ability to navigate within a changing, complex, culturally rich and geographically dispersed environment \-Understanding of the risk, privacy, and ethics landscape relating to HR data science, and the right skills to know when to escalate or own different risks