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Data Scientist

SoCode Limited
Posted 6 hours ago, valid for 5 days
Location

Cambridge, Cambridgeshire CB21NT, England

Salary

£45,000 - £65,000 per annum

Contract type

Full Time

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Sonic Summary

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  • A leading technology company in Cambridgeshire is seeking a Data Scientist with a salary of up to £65,000.
  • The position is mostly remote and involves applying machine learning tools and statistical methods to create solutions.
  • Candidates should have at least 2 years of experience in solution development and programming skills in data science languages such as R, Julia, SQL, and Python.
  • Experience with the Microsoft Azure platform for data science is required, along with a University degree in a STEM subject with a 2:1 or above.
  • While not essential, experience with Environmental or Weather data and knowledge of modern data science methods like ML and AI is desired.
Data Scientist
Salary:Up to 65,000
Location:Cambridge
Working Environment:Mostly Remote

We are working with a leading technology company in Cambridgeshire.

Role Responsibilities:

  • Applying machine learning tools and statistical methods to create solutions.
  • Develop algorithms and design experiments to integrate, manage, analyse, and extract data, delivering customized reports for colleagues and clients.
  • Generate clear, insightful reports that effectively communicate how users can maximize the value of their data.
  • Evaluate the quality and effectiveness of data sources and collection methods, offering recommendations to enhance data-gathering processes.
  • Stay up to date with the latest data science technology, techniques and methods.

Key Requirements:


  • Experience in solution development and programming skills in data science languages: R, Julia, SQL, Python
  • Experience in using the Microsoft Azure platform for data science
  • A University degree in a STEM subject 2:1 and above

Desired, but not essential:

  • Experience in working with Environmental or Weather data
  • Knowledge and experience of modern data science methods: ML, AI, big data and optimisation, especially in the context of solving business problems.

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