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Data Science Lead

Harnham - Data & Analytics Recruitment
Posted a month ago, valid for 6 days
Location

Manchester, Greater Manchester M17 1DJ, England

Salary

£22,000 - £26,400 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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  • Harnham is seeking a Data Science Lead for a remote position in the UK, offering a salary of up to £100,000.
  • The successful candidate will be responsible for leading the technical vision and delivery of ML/AI initiatives across the business.
  • Key responsibilities include designing end-to-end ML solutions, driving MLOps best practices, and building a team of Data Scientists and ML Engineers.
  • Candidates should have strong Python and SQL skills, experience with AB testing, and a proven track record of leading data science projects and teams.
  • Interested applicants are encouraged to send their CVs to Daniel Abbasi through the provided application link.

Data Science Lead

Remote (UK)

Up to £100,000

Harnham are currently partnering with a leading telecommunications business hiring for a Data Science Lead.

The Role

As a Data Science Lead, you will be:

  • Lead the technical vision and delivery of ML/AI initiatives across the business.
  • Design and oversee end-to-end ML solutions, from experimentation through to product deployment.
  • Drive adoption of MLOps best practices working closely with Engineering Leads.
  • Build and develop a team of Data Scientists and ML Engineers.
  • Provide strategic leadership on DS/ML capabilities and opportunities.

Skills & Experience

  • Python coding
  • Strong SQL skills
  • Experience with AB testing
  • Familiarity with CI/CD pipelines
  • Track record of leading data science projects and teams.

How to Apply

Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.

Apply now in a few quick clicks

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.