Junior Statistician (Data Scientist) – (Python, Probabilistic Techniques) – upto £40K depending on experience.

All potential candidates should read through the following details of this job with care before making an application.

Location: Cambridge, flexible working in terms of days spent in or away from the office.

Permanent

Are you a Junior Data Scientist or recent graduate looking to take the next step in your career? Do you want to be part of a team that will help advance your own skills and repertoire? Or do you want to contribute to a ground-breaking product that is bringing advertisement into the 21^st century?

One of our clients are offering an outstanding opportunity to work in a dynamic setting in addition to using cutting-edge innovative tools that will enable you to expand your repertoire. This is a chance to join an already well-developed R&D firm at a pivotal point in their growth and an opportunity to work on a commercially viable, research led product.

My client is seeking talented Junior Statisticians/Data Scientists, to join their growing R+D team and be involved in a state-of-the-art project that is already being used by some of the world’s biggest brands.

The successful candidate will meet the following requirements:

• Excellent knowledge of data structures, data modelling and software architecture
• Solid understanding of both Bayesian and Frequentist statistics
• Ability to write and review robust Python code or demonstrable ability with statically typed languages such as C#/C++/Swift
• Familiarity with machine learning frameworks as applied to probabilistic modelling such as Tensorflow-Probability (preferred), PyTorch-Pyro, MXNet or PyMC3
• Working knowledge of variational inference and/or spectral normalized gaussian processes (SNGP) as applied to neural networks considered a plus
• Exceptional collaborative working skills and ability to raise and respond to appropriate questions within larger organisation
• BSc in Statistics, Applied Mathematics or similar field

If you are interested in applying for this role please email Matt@SoCode.co.uk

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