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.

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

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.