Data Scientist - £35-40k - Lancaster - UK - Remote Options, Greenfield Work, Unrivalled Progression…
Our client is looking for a Data Scientist to come in and join their developing team to work on processing and analysing large sets of data. You will contribute to algorithmic design and also integrating any Big Data tools and frameworks required to provide requested capabilities.
This role also offer a great opportunity for the right candidate to get involved in responsibilities outside of strict Data Science including but not limited to Artificial Intelligence processing and data engineering architecture.
To be considered you should have:
* Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
* Experience with Cloudera/MapR/Hortonwork
* Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
* Experience with integration of data from multiple data sources
* Proficient understanding of distributed computing principles
The company at hand are renowned around the world as being one of the best in their industry not only in the work they do for clients but also the environment they provide for their employees. They strive to create a friendly and welcoming feel with regular games and socials with many benefits encompassed into their flexible benefits package.
Don't pass this opportunity up, please send your CV over to firstname.lastname@example.org in full confidence if it sounds like an opportunity you could take full advantage of.
Jefferson Frank International is the leading AWS and Big Data recruitment firm in the UK, advertising more AWS and Big Data focused jobs than any other agency. We deal with both Software Vendors & End Users throughout the UK and Europe and we have never had more live requirements for AWS and Big Data professionals. By specialising solely in placing candidates in the AWS and Big Data market I have built relationships with most of the key employers in the UK and have an unrivalled understanding of where the best opportunities & AWS and Big Data jobs are.
Data Scientist / Data Science / Big Data / AWS / Lancaster / Lancashire / Greater Manchester / UK