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Lead Data Scientist

Nigel Frank International
Posted a month ago, valid for 7 days
Location

London, Greater London EC1R 0WX

Salary

£48,000 - £57,600 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A small and rapidly growing Consultancy is seeking a Lead Data Scientist for a hybrid role requiring 2-3 days in the office or on client site.
  • Candidates must have experience leading data science projects and be eligible for SC Clearance, as many clients are in the Public Sector.
  • The role involves working with varied data sources, implementing data science and machine learning techniques, and communicating insights to clients.
  • Applicants should have extensive coding skills in Python and SQL, experience with cloud-based infrastructure, and the ability to work with structured and unstructured data.
  • The salary for this position is up to £75,000, depending on experience, along with a discretionary bonus and benefits such as a 5% pension and training budget.

A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their growing team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements.

Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in order to apply for this role.

In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. .

This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on the client's environment.

You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken.

This role would be well-suited to someone who has experience (or is keen to get experience) in a client-facing environment, and who enjoys the challenge of working on technically demanding and diverse projects.

Requirements

  • Experience leading on data science projects
  • Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP
  • Extensive coding skills in languages such as Python and SQL
  • Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these
  • Experience with various statistical-based techniques to uncover data insight
  • Experience developing machine learning algorithms
  • Excellent communication and requirements gathering skills
  • Eligibility for SC Clearance

Benefits

  • Salary up to £75,000 depending on experience
  • Discretionary bonus
  • 5% pension
  • Training budget allowance
  • Flexible working hours

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.