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

Nominate & Attend

Lead Data Scientist

Phaidon International
Greater London
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Job Title: Lead Data Scientist

Location:London Hybrid

Reporting: MD for Clients and Technology


About Phaidon International

Phaidon International is a global powerhouse in the Professional Search recruitment industry. With 1,500 employees, six renowned brands, and 14 offices worldwide, we proudly serve a client list that is the envy of the recruitment world. As a leader in connecting top-tier talent with industry-leading companies, we are now looking to elevate our operations by harnessing the power of big data and machine learning.

We are taking our first steps into the world of big data analytics and predictive machine learning, with the goal of transforming recruiter productivity and enhancing our ability to direct activity, forecast, and adapt to market trends. To lead this ambitious initiative, we are seeking aLead Data Scientistto spearhead our data-driven evolution.


The Role

As theLead Data Scientist, you will be the driving force behind our analytics strategy and machine learning initiatives. Reporting directly to the MD for Clients and Technology, you will design, implement, and oversee advanced data solutions that will redefine how we approach recruitment. This is a rare opportunity to shape a data strategy from the ground up and make a measurable impact on a global scale.


Key Responsibilities

  • Develop and execute Phaidon International’s data science strategy, focusing on big data analytics and predictive modeling to improve recruiter productivity and forecasting capabilities through the use next best action tools.
  • Collaborate with stakeholders across our six brands to identify business challenges and data-driven opportunities.
  • Design, build, and deploy machine learning models that optimize operational efficiency, and market trend forecasting.
  • Lead the collection, cleaning, and organization of structured and unstructured data from internal and external sources.
  • Establish best practices for data science, including reproducibility, explainability, and compliance with data protection regulations.
  • Build and mentor a high-performing data science team as our data initiatives grow.
  • Develop engaging data visualisations and dashboards to communicate insights to non-technical stakeholders.
  • Stay ahead of industry trends and emerging technologies to ensure our data solutions remain cutting-edge.


What We're Looking For

  • Education and Experience

Education: Master’s in Data Science, Computer Science, Statistics, or a related field.

Experience: Minimum of 2 years of experience in data science, including leadership roles where you've driven impactful projects.

  • Technical Expertise:
  1. Proficiency in Microsoft Fabric and its components (e.g., Azure Synapse Analytics, Power BI, Azure Machine Learning).
  2. Strong programming skills in Python, R, and SQL.
  3. Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  4. Knowledge of data visualization tools (e.g., Power BI, Tableau).
  5. Proficiency in Python, R, SQL, and big data frameworks (e.g., Hadoop, Spark). Hands-on experience with machine learning libraries such as TensorFlow, Scikit-learn, or PyTorch.
  6. Experience working with large, complex datasets and designing ETL pipelines.
  • Recruitment Domain Knowledge (Preferred):While not essential, experience in recruitment, HR tech, or talent analytics is highly advantageous.
  • Leadership:Ability to inspire and lead teams, foster collaboration, and align data initiatives with broader business objectives.
  • Problem-Solving:Strategic thinker with the ability to translate complex data challenges into actionable business insights.
  • Communication Skills:Strong ability to articulate technical concepts to non-technical audiences and influence decision-making.


What We Offer

  • A unique opportunity to shape the future of a global recruitment leader through data innovation.
  • The autonomy to build and lead a data science function from the ground up.
  • A supportive and collaborative work environment within a high-performing organization.
  • Competitive compensation package, including bonus incentives.
  • Flexible working arrangements to suit your lifestyle.


Join Us

If you're excited about building something transformative and want to make your mark in a dynamic, global organization, we’d love to hear from you.

Apply now to lead the charge in harnessing data to redefine the future of recruitment at Phaidon International.

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.