National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Manager, Data Science & Analytics

AtlasEdge
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager - Data Science and Engineering Team

Data Scientist

Senior Credit Risk Manager

Senior Home Actuarial & Data Science Manager

Senior Insights & Data Analyst

Senior Data Scientist

ABOUT US:

At AtlasEdge our ambition is to become Europe’s leading data centre provider. We will achieve this by powering growth, delivering outstanding service and securing world-class customers.


Established in 2021, we are already one of the continent’s fastest growing data centre operators, serving more than 800 customers across 24 data centres connected to more than 80 on-net carriers.


With our expanding reach, we are disrupting the industry by providing seamless, localised and ultra-low latency digital infrastructure. Our focus is on developing emerging European markets and serving customers who are demanding more data to shape their technology and network infrastructure.


AtlasEdge is a joint venture between Liberty Global and DigitalBridge. Liberty Global, owner of VMO2, is a world leader in converged broadband, video and mobile communications and an active investor in cutting-edge infrastructure. DigitalBridge manages the world’s largest digital infrastructure fund, with more than $80 billion invested in digital infrastructure around the world.


JOB PURPOSE

Working within the IT & Business Systems department for the Director, TechOps & IT, you will be responsible for all things “Data” as Senior Manager of Data Science, Analytics and Reporting. The Senior Manager should find opportunities proactively to improve AtlasEdge’s business through the application of quantitative methods and data analysis. You will gather and analyze data to help the AtlasEdge business to gain valuable insights and influence decision-making. You duties will include data mining and management, developing and implementing analytics solutions, and generating reports in an effort to improve our business performance and achieve business objectives.


KEY ACCOUNTABILITIES

Data Strategy:Develop and communicate a clear vision and strategy for data within the business. This will be in conjunction with other IT & Business systems stakeholders.

Requirements Gathering: Collaborate with stakeholders to gather and prioritize data reporting requirements, translating them into actionable plans.

Weekly / Monthly Reporting:work with business stakeholders to define the AtlasEdge’s business reporting requirements and implement suitable process and data analytics methods to produce said reporting.

Operational Management: Oversee the day-to-day operations of the data analytics system(s), including triage of incidents and service requests and escalation to any vendors.

Stakeholder Engagement: Act as the primary point of contact for stakeholders, ensuring their needs are met and fostering strong relationships.

Data Integrity: Ensure data accuracy, consistency, and reliability across data in the core business system(s).

Performance Monitoring:Monitor product performance metrics, identifying areas for improvement and implementing solutions.

Cross-Functional Collaboration:Work closely with IT, TechOps, data manager, and business teams to ensure seamless integration and alignment of data products.

Documentation:Maintain comprehensive documentation of product features, processes, and updates.

Compliance & Security:Ensure data products comply with industry standards, regulations, and security protocols.

Data Analytics:Extract and analyse data and build statistical models that can improve the quality of decisions or the performance of existing systems.


KNOWLEDGE & EXPERIENCE

PREFERRED EDUCATION/ QUALIFICATIONS:

  • Advanced technical degree or equivalent experience.
  • Significant data science and control systems experience.
  • Experience working with large scale data center projects, control systems, or IIoT programs.
  • Previous role in a high impact technology company.
  • Proven track record of building teams.
  • Excellent organizational and communication skills
  • Familiarity with Cloud computing and Edge data centers is a plus.


SKILLS & ABILITIES:

Essential

  • Experience of Microsoft Dynamics 365
  • Experience of Power BI
  • Experience of scripting languages e.g. Python, Powershell
  • Experience working with external vendors


Desirable

  • Experience with SQL
  • Experience of ERP, CRM, DCIM systems and data associated.
  • Use of AzureDevOps or similar code repositories.


Atlas Edge is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for our people.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.