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Machine Learning Manager / Data Scientist - Data Analytics job in London

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Job Ref:  204393292
Employer:  cv-library.co.uk
Job Type:  Permanent
Country:  United Kingdom
County/State:  London
City:  London
Post Code:  WC1A
Salary:  £100000 - £120000/annum Negotiable
19/10/2016 09:37
Machine Learning Manager / Data Scientist - Data Analytics

Data Scientist / Big Data / MapReduce / Hadoop / AWS / DHTs / Parallel Programming / Data Mining / NLP

The company

Data Analytics firm that helps client create value from data across their organisation. This is done through leveraging deep industry experience across technology, data, analytics and sales to deliver solutions that inform strategy through action.

The role

Managing the work of Machine Learning Scientists, overseeing highly complex projects that bear significant impact on the organisation, you will consult on complex issues and contribute key ideas. Being both spokesperson and advocate on relevant machine learning topics to both internal and external stakeholders, you will contribute directly to the features and capabilities deployed in applications. You will be responsible for advanced project delivery, execution, and support, working closely with cross-functional business units, software engineering and data scientists to simulate and test econometric/probabilistic relationships across the big data stack. Additionally you will work with product and marketing teams to understand client goals and turn research into products.

The requirements

As a minimum you will have a Bachelor's degree in Computer Science or related field (Statistics, Mathematics, Engineering) but preferably Masters or PhD as well experience in the following:

• 2 years'+ industry experience maintaining a code base written in a high-level object-orientated language
• Distributed computing e.g. MapReduce, Hadoop, AWS, DHTs
• Large datasets
• Parallel programming / parallel algorithms development
• Machine learning concepts
• Data Mining
• Knowledge discovery
• Information retrieval (NLP & Semantic Analysis)
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