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Data Scientist - Inside IR35

City of London, London
Up to £550 per day
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DATA SCIENTIST - INSIDE IR35
£550 PER DAY
REMOTE BASED
6 MONTHS

Are you looking for an opportunity to join a team of Data Scientists in building different end to end ML algorithms that will form the starting point for innovative new product/ gaming features?

THE COMPANY:

As a Data Scientist you will have the chance to work for a leading retail company in helping building different models within products. You will be working alongside both Data Scientists, Product Owners and analysts in 2 week agile sprints.

THE ROLE:

As a Data Scientist, you will be working on building end to end ML models for a variety of POCs while will form the basis for innovative new product development. As a Data Scientist, you should be strong on Python, R and a number of Data mining, machine learning, and predictive modelling techniques. You should have experience working on complex data sets and exposure to tools such as Spark, Hive are useful. As a Data Scientist, you should also have some experience with ETL and distributed environment as well as working with AWS cloud, particularly Redshift. As a Data Scientist experience in customer behaviour, specifically is advantageous such as personalisation, customer scoring, customer segmentation and text analytics.

YOUR SKILLS AND EXPERIENCE:

The successful Data Scientist will have the following skills and experience:

  • Extensive experience with Python and a good understanding of its libraries; Pandas, NumPy, SciPy
  • Proven experience applying data scientist techniques to customer behaviour
  • Excellent knowledge of AWS; Redshift
  • Ended to end model building
  • Experience with Spark, MapReduce
  • Masters in relevant field

THE BENEFITS:

  • The chance to work on innovative projects

HOW TO APPLY:
Please register your interest by sending your CV to Anna Greenhill via the Apply link on this page.

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49501/AG
City of London, London
Up to £550 per day
  1. Contract
  2. Data science

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Data Science For Business Decision Making

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