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Data Science Lead

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Posted a day ago, valid for 25 days
Location

Gloucester, Gloucestershire GL12EH, England

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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  • The position is for a Data Science Lead located in Gloucester, requiring active Enhanced DV Clearance.
  • The role offers a competitive salary dependent on experience (DOE) along with a 6% bonus and 25 days of holiday.
  • Candidates should have at least 5 years of experience in relevant fields such as data science, cloud technologies, and team leadership.
  • Key responsibilities include leading diverse teams, managing customer engagements, and applying practical data science skills.
  • This opportunity allows individuals to work on impactful projects in a secure environment while driving digital transformation.
  • Location: Gloucester (Full-time on-site)
  • Salary: Competitive DOE + 6% Bonus, 25 Days Holiday, Clearance Bonus
  • Security Clearance: Active Enhanced DV Clearance Required
  • Key Skills: Team Leadership, Customer Engagement, Data Science, DevOps, Cloud, Data Platforms

Who We Are?

We are a leading technology company specialising in mission-centric solutions, designing and delivering cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation.

What Will You Be Doing?

As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will:

  • Lead customer engagements and manage stakeholder relationships
  • Contribute to and prepare technical bids and proposals
  • Collaborate with Delivery Management to drive successful project execution
  • Apply practical data science skills through hands-on development
  • Work on complex, technically challenging projects at the cutting edge of the industry
  • Communicate effectively with internal and external stakeholders

What Are We Looking For?

We are seeking individuals with experience in one or more of the following areas:

  • Building and designing scalable data platforms
  • Data visualisation and techniques for data extraction
  • Machine learning and advanced data analytics
  • Proficiency in programming languages such as Python, Java, or C++
  • DevOps techniques and cloud technologies
  • Agile methodologies and team leadership
  • Strong stakeholder and customer engagement skills

This role offers a unique opportunity to work on impactful projects, lead innovative teams, and drive digital transformation in a secure, high-stakes environment.

Ready to take your career to the next level? Apply today and be part of something extraordinary!

Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.

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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.