Data Scientist - R/Python/SQL - Leading Online Brand

Recruiter
Harnham
Location
London
Salary
£60000 - £70000 per annum + benefits
Posted
18 Apr 2017
Closes
18 May 2017
Contract Type
Permanent
Hours
Full Time
Data Scientist - R/Python/SQL - Leading Online Brand

£70,000 + Benefits

London

This leading Online brand is looking to add to their Data Science team who provide pivotal analytical insights for the business. You will be working with one of the most prestigious data science teams in London, therefore on offer is an incredible opportunity where you will learn and develop your analytical skills from the best in the market!This is a key role within the team, therefore the right candidate will have a highly numerical degree, strong statistical skills in R/SAS/Python/SQL and the ability to draw key insights from complex data.

THE ROLE - DATA SCIENTIST:

* Through the use of advanced analytical tools such as R and Python you will perform deep-dive analytics and data mining to provide complex analytical insights
* Working within the advanced analytics team you will use your statistical knowledge to provide innovative methods for customer engagement
* Introduce complex analytics to senior stakeholders across the business and create actionable insights to support strategic decisions
* You will be able to take on the responsibility of leading projects, therefore offering you the opportunity to really progress within your career

YOUR SKILLS AND EXPERIENCE:

* Exceptional R modelling skills and SQL coding ability
* Ability to build statistical models from scratch and develop new analytical methods of best practice
* You must be analytically minded with the ability to work with large volumes of data
* Exceptional communication skills and the ability to engage with challenging stakeholders
* 2:1 or above in a highly numerate degree
* A strong analytical background

SALARY AND BENEFITS - DATA SCIENTIST:

A salary up to £70,000 + a substantial benefits package

HOW TO APPLY - DATA SCIENTIST:

Please register your interest by submitting your CV via the Apply Link on this page. For further information please get in touch with Faye Sheldrake at Harnham.

Keywords:

SQL, R, Python, Statistics, Insight, Data, Data Science, Advanced Analytics, Analysis, Big Data, Modelling, Linear Regression, Propensity, SAS