Data Scientist - R/SQL/Python

Recruiter
Harnham
Location
London
Salary
£30k - £42k pa + benefits
Posted
15 Feb 2017
Closes
15 Mar 2017
Contract Type
Permanent
Hours
Full Time
Data Scientist - Leading Brand
Greater London
Up to £42,000 + benefits

Whether you're an up and coming data scientist or have been in the industry a couple of years, if you're looking for an opportunity to be exposed to vast data sets and develop your skills in a growing band this could be the right move for you. With the opportunity to work with some extremely large and exciting data sets and the chance to use your experience to find innovative ways to source data and develop insights, this rare opening has all of the elements necessary to further your career.

THE ROLE

As Data Scientist you will be working with data from a mixture of online and offline sources. The focus of the role will be in helping their analytics function understand their customers and as such your role will be incremental in bridging this gap. You will be involved in finding new ways to source data, fusing data sets to create new insights, developing algorithms, identifying new opportunities for developing insight.

YOUR SKILLS AND EXPERIENCE

- Educated to degree level in a numerate subject (Maths, Stats, Physics, Chemistry, Computer Engineering)
- Experience in analysis of large data sets with SQL, Python or R (Social Network data ideal)
- Strong knowledge of linear algebra, statistics, machine learning and probability
- Strong communication skills, ability to deal confidently with stakeholders and clients
- Ideally, you will have experience in designing and leading research programs

THE BENEFITS

As Data Scientist you can earn up to £42,000 depending on your skills and experience, alongside this there is a competitive bonus and benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

CONTACT

For further details or to enquire about other roles, please contact Charlie Waterman at Harnham. *************

KEYWORDS

R, Data Science, SQL, Python, Java, Analytics, Marketing, Social Media, machine learning, linear algebra, statistics, insight