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Data & Machine Learning Product Lead

VIQU Limited
Posted a day ago, valid for 18 days
Location

London, Greater London EC1R 0WX

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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  • VIQU is seeking a Data & Machine Learning Product Lead for a leading UK brand, offering a salary between £90,000 and £100,000.
  • The role requires over 5 years of experience in data product management, particularly with a focus on Machine Learning.
  • Candidates should have a background in financial services or insurance, with a strong understanding of how data products create business value.
  • The position involves overseeing the lifecycle of data products, driving strategy, development, and performance tracking, while working hybridly from London.
  • The ideal candidate will also possess excellent communication skills and experience in mentoring teams to enhance the data environment.

Data & Machine Learning Product Lead – London/ Hybrid £90,000 to £100,000

VIQU have partnered with one of the UK’s leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help the customers, take on new technologies and develop business outclass.

The Data & ML Product Lead will oversee the lifecycle of Data and Machine Learning products, driving the data strategy, development and delivery of the products. The position will benefit from hybrid working of 3 days a week onsite from their London office.

Responsibilities of the Data& Machine Learning Product Lead:

  • Drive the Data Product strategy that aligns with the business data strategy and goals.
  • Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully
  • Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products
  • Track the data product performance to drive continuous improvement

Requirements of the Data & Machine Learning Product Lead:

  • 5+ years’ experience in Data product management with a background delivering data products focused on Machine Learning
  • A background in financial services, insurance, or a related sector, with an understanding of how data products create business value
  • Experience managing and establishing governance
  • Strong understanding of Azure products and Databricks
  • -Background in Machine Learning (ML) analytics and deploying products
  • Proven ability to mentor teams and lead continuous improvement in the data environment
  • Excellent communication skills, attention to detail and self-starter

Data & Machine Learning Product Lead – London/ Hybrid £90,000 to £100,000

To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Jack Mcmanus on

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).

To be the first to hear about other exciting opportunities, technology and recruitment news, please also follow us at ‘VIQU IT Recruitment’ on LinkedIn, and Twitter: @VIQU_UK

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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.