Data Scientist - Machine Learning
Data Scientist - Machine Learning[*] London, South East England
[*]￡55,000 - ￡60,000 per annum
[*]0 applications
[*]Job type:Permanent, full-time
[*]Date:Yesterday
[*]Reference:28524969
Data Scientist | Machine Learning
Data Scientist
London
￡55,000 - ￡60,000
The Company
Harnham are helping one of the largest and most exciting online technology companies in building a brand new Data Science team dedicated to Research & Development, and maximising the most out of data through the use of machine learning and artificial intelligence.You will be joining an impressive team in solving complex analytical problems, creating solutions through the use of cutting-edge technologies and methodologies.
The Role - Data Scientist
You will be:
[*]Developing and implementing custom algorithms across the website for the company
[*]Supporting and optimising the recommendation algorithms already in place
[*]Research, exploring data sets and carrying out proof of concept work
[*]Manage junior member of the team
Your Skills and Experience - Data Scientist
You must have:
[*]An MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Artificial Intelligence or Mathematics
[*]Experience of working with large volumes of data
[*]Experience in programming languages such as R/Python/Scala
[*]A knowledge of querying languages such as SQL/Hive is advantageous
[*]Work experience with Spark/Hadoop is desirable
The Benefits - Data Scientist
Earn up to ￡60,000 + ￡7,000 car allowance + pension + healthcare
How to Apply?
Please register your interest by sending your CV via the Apply link on this page.
Keywords
R, Python, Pandas, Scala, SQL, Hive, Hadoop, Spark, Machine Learning, Statistics, Artificial Intelligence, Mathematics, AWS, Kafka, Azure, Algorithm, Optimisation, Recommendation System, Research, Pricing, Marketing, Online, Data Scientist, Data Science,Predictive modelling, Forecasting.
Required skills & expertise: Data Science | Data Scientist | Machine Learning | Artificial Intelligence | R | Python | Spark
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