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Lead Algorithmic Data Scientist

  • Location: London, Home
  • Sector: IT
  • Job type: Permanent
  • Job reference: MRJ39035/1
  • Salary: Up to £100k

Job description

Lead Algorithmic Data Scientist - Home working - c. £ 100K

A very exciting opportunity to be in at the absolute beginning of a start-up whose disruptive technology will completely revolutionise how live streaming data is monitored, identified, monetised and distributed.

In this job you will be responsible for designing software and algorithms for complex real-time pattern analysis and high volume data analytics applications and then helping turn that software into a fully operational plug and play product.

The company are well funded by established, successful technology entrepreneurs, have an industry recognised senior leadership team and are aiming their technology at a $ 40B+ and expanding market. There are no current competitors and the concept is being very well received by the target market. Their office will be based in Central London but this role will be very largely home based.

To join, you will need an excellent academic background (PhD preferred but not essential) in Computer Science, Mathematics or similar and a demonstrable development background in big data analytics, pattern analysis and algorithm development, ideally for real-time high volume data analysis applications.

As an experienced Algorithmic Data Scientist job, you will need to

> Bring a combination of mathematical and scientific rigor, entrepreneurial thinking, and a hunger to build insightful analytics and performant algorithms.

> Translate unstructured, complex business problems into practical, powerful algorithmic solutions.

> Design, execute, and analyze live experiments to test what you build.


This really is an exceptional opportunity for an Algorithmic Data Scientist job to get involved in amazingly interesting and challenging work. A pretty much green field opportunity to build the best product that you can imagine and fantastic potential are on offer to the right person. Are your data analytics and algorithmic skills up to the challenge ?



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