The quality of data at comparethemarket.com makes a huge difference to the experience of our customers and the success of the business. We are currently looking for an exceptionally talented and passionate Data Scientist to join our team and work closely with product engineering teams to identify development opportunities, strategies and architect plans, and develop algorithmic solutions.

We are looking for someone who can generate valuable and actionable insights by utilising advanced statistical techniques and data mining approaches to improve decision making. Also analysing and interpreting the results of new product development experiments, with the ability to communicate the findings to key stakeholders, gaining support and ‘buy in’ for any recommendations.

The role

As a Data Scientist you will build well maintained models of customer behaviours that influence programmatic decision making. Then evolve and enhance systems and tools for agile data analysis and visualisation.

You will ensure systematic leverage of insight explorations and analyses for repeated use of knowledge, improve our speed of response to insight needs and improve our overall maturity in data and advance analytics capabilities.  The role requires professional networking with current and potential data providers through appropriate attendance at industry and market events.

What will it take?

As a highly skilled, professional and confident Data Scientist, you’ll have excellent analytical and problem solving skills. You will have a strong passion for empirical research and for answering hard questions with data.

You will also have stats and data analysis experience working with advanced tools like R, SAS, or alike, along with strong capability in advanced statistics for example; multiple regression, GLM’s, Monte Carlo simulation, clustering (e.g. K-means) and machine learning techniques.

Why choose us?

The benefits package is excellent and comprehensive; you’ll earn a competitive salary with an annual bonus, and a range of benefits that you’d expect from a great employer.  Perhaps more importantly in this role you’ll have the opportunity to work with some outstanding people in a fun and thriving environment.

What next?

If you can see yourself succeeding in this role, it would be great to hear from you. The first step is to click apply.

Tagged as: data analysis, data scientist, R, SAS