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Data Scientists: AI / Machine Learning (23863)

South Cambridgeshire
to £75k DoE + top benefits
Filled

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data science, machine learning, Spark, Hadoop, Python, Java, 1st / 2.1 / PhD

Summary: bright and ambitious Data Scientists and AI / Machine Learning experts sought by a top Cambridgeshire engineering firm for a range of technical applications. Excellent salary and benefits.

This company has been an established technical pioneer in science and engineering for quite some time. Their employees contribute to advances in fields as diverse as medical technologies, industrial processes, biotech development, consumer products or autonomous vehicles. Over the past few years they’ve pioneered the application of Data Science and Artificial Intelligence to gain new insights into these challenging problems and are now seeking to grow their team.

Candidates with a broad range of experiences will be considered, but as a baseline your CV must show:

  • a strong academic background, with a 2.1 or above in a numerate subject from a “top-10” university, and good A-level grades too;
  • evidence of applying modern data science techniques to expansive data sets or unusual / unstructured information;
  • familiarity with at least two industry-standard languages such as Python, Java, Scala or R;
  • application of analytical / machine learning “big data” platforms like Spark, Hadoop, Azure or TensorFlow.
    Additional familiarity with data visualisation toolsets, computer vision and image processing, or database searching / management environments and languages will be a welcome bonus.

On offer is a very competitive salary commensurate with experience, and a range of attractive benefits. Working in dedicated modern offices, you’ll be working with like-minded individuals to push the boundaries of current data science applications. The company’s R&D centre is a short distance from Cambridge city centre, easily reached by public transport or car / bike, with ample on-site parking available.

Keywords: data science, machine learning, Spark, Hadoop, Python, Java, 1st/2.1/PhD

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