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Data Scientist

Greater London Permanent £32000 - £45000 per annum + bonuses, discounts, holiday, pension

Data Scientist
London

A global brand leader in consumer goods has an unbelievable opportunity for a Data Scientist who wants to join a brand-new digital hub enabling the discovery and delivery of insights through statistical analysis. You will apply machine learning skills working with python and R and build statistical models for service delivery.

As a Data Scientist you will work with multiple data sets and make sense of vast amounts of data to improve the way customers are engaged. You will join a historic organisation who were at the forefront of media revolutions going back to print advertising through to radio and TV to digital in the present. You will help the business continue to be a revolutionary business way into the future.

In this role you will work with advanced statistical methods, utilise cutting edge machine learning practices and work with nlp and ai. You will be a very influential person in the team and have opportunities to not only become senior working on exciting projects but there will also be opportunities to lead and have direct reports in your future career progression with the company.

To be successful:

  • You will have attained qualifications in statistics, mathematics, computer science or other related data and mathematical fields.
  • You will bring some commercial experience applying machine learning techniques
  • You will have a high working proficiency with SQL and python.

We’re looking for a Data Scientist to start soon, so interviews will be organised asap for qualifying candidates. Apply now!!

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Job Information

Job Reference: JO-1808-139394
Salary: £32000 - £45000 per annum + bonuses, discounts, holiday, pension
Salary per: annum
Job Duration:
Job Start Date: 01/10/2018
Job Location:
Job Industry:
Job Industries: Data
Job Locations: Greater London
Job Types: Permanent
Job Skills: Cloudera, Data Science, Data Scientist, Hortonworks, Machine Learning, Python, SPARK, SQL

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