The purpose of your role: 

·       Conduct exploratory analysis to understand customer needs, provide business insights and derive new hypotheses.

·       Using these insights, develop solutions which aim to enhance trading performance, maximize return on investment, optimize marketing efforts and enhance user experience.

What you’ll be doing day to day:

The essential functions of this position include, but are not limited to, the following:

·       Developing industry leading data science solutions through:

o   Identifying detailed data requirements, sources, and structures to support solution development

o   Driving the collection of new data and the refinement of existing data sources

o   Determining the optimal data science methodologies and technologies to use to solve the problem at hand

o   Ensuring integrity of the data science solutions in terms of the underlying statistical and economic models and assumptions

o   Collaborating in the development and deployment of proposed solutions to a live environment and tracking the effects in real time

o   Devising statistically robust testing plans to validate effectiveness of solutions

o   Interpreting real-time feedback from deployed tests and using this to inform planning of next steps

·       Effectively communicate outputs to other team members and the wider business in a concise manner that can be understood by both technical and non-technical audiences

·       Keep up to date with the latest techniques, technologies and trends and identify opportunities within the business where they could be applied

·       Developing leading POCs to create break through solutions, performing exploratory and targeted data analyses

·       Learning from highly skilled colleagues

What background we’re looking for:

·       Undergraduate, Masters or Ph.D. in a relevant technical field, or 2+ years’ experience in a relevant role

·       Understanding of statistical modelling, algorithms, data mining and machine learning workflows

·       Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

·       Comfortable manipulating and analysing complex, high-volume, high-dimensional data from varying sources

·       Proficient with Python

·       Familiarity with relational (SQL) databases

·       Ability to create compelling visualisations and dashboards (using matplotlib, tableau, superset, plotly, ggplot)

·       Knowledge of revision control systems (git) and modern development workflows (feature branches, pull requests etc…)

·       Experience using more advanced ML libraries (tensorflow, theano, pytorch etc..) a plus

Critical Interfaces:

·       Trading function, Partner Relationship Management, Supply & insurance and CCE to ensure they are equipped, where necessary, with information, context, insight, tools and resources

·       Collaborate with Product & Technology to feed into product development cycles and to provide regular reporting on key metrics

·       Work closely with Data Intelligence to support the collection of new data and the refinement of existing data sources

·       Other functions to provide data science solutions to foster new ways of thinking and improve business outcomes