Data Scientist

Recruiter
Harnham
Location
Farringdon
Posted
11 Apr 2018
Closes
16 May 2018
Contract Type
Permanent
Hours
Full Time

Data Scientist
London
£55,000 - £65,000 + Benefits

THE COMPANY

Harnham are working with one of the most exciting online companies in Europe who are recruiting for SEVERAL Data Scientists to join the their London team right now.

They are going through a significant period of investment in the data science vertical and have recently made a string of impressive hires (from the likes of Netflix, eBay etc) to help shape analytics for the next few years.

It's an incredibly exciting time to be joining the business and there are lots of new projects planned for 2017/2018 to get your teeth stuck in to, including: personalisation, product recommendation, pricing, customer behaviour analysis (and many more)... You will also work closely with Director-level stakeholders, have your say on the company's data science-road map and help to drive the implementation of new methodologies to the business.

On top of that - they have an amazing culture and are a very fun bunch of people!

THE ROLE

You will be:

  • Developing and implementing new data science techniques for the company
  • Exploring new possibilities in the business, making sense of huge datasets and looking to generate significant revenue
  • Responsible for shaping the future of analytics within the organisation

YOUR SKILLS AND EXPERIENCE

You must have:

  • An MSc or Ph.D. in Machine Learning, Statistics, Computer Science, Artificial Intelligence or Physics
  • Experience of working with large volumes of data
  • A strong statistics/machine learning experience (using R or Python)
  • Experience of working with SQL

THE BENEFITS

£55,000 - £65,000 + Benefits

HOW TO APPLY

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

CONTACT

Please contact Nick Mandella for more information regarding this role or similar opportunities.

KEYWORDS

R, Python, SQL, Machine Learning, Statistics, Mathematics, Optimisation, Recommender, Recommendation System, Research, Customer, Insight, Marketing, Product, Online, Data Scientist, Data Science, Predictive modelling, Forecasting.

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