Data Scientist

Location: City Of London

As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc.

Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics.

You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop.
* Discuss with stakeholders requirements for analysis
* Run exploratory data analysis and turn it into questions which can be answered with analytical techniques
* Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems
* Communicate results clearly and effectively
* Take care of unclear and ambiguous requirements
* Communicate complex ideas and analyses in a simple way
* Work independently on complex projects
* Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science
* Be able to use diverse data science tools and approaches
* A degree or equivalent work experience in data driven field
* Ability to use visualization techniques for communicating data and analysis
* Experience of using any of the following to answer business or scientific questions
-statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc.
* R/Python experience
* Knowledge and experience of SQL
* Ability to work a minimum of 3 days a week in our central london office.
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