Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Data Scientist...

La Fosse
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist, AI Security Research

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Job Description

Principal Data Scientist

  • Location: London (3 days per week on-site)
  • Salary: ~£100,000 - £130,000

    About the Company

    A global education group backed by a leading private equity firm is embarking on an ambitious technology transformation. With a network of premium schools across more than 80 locations and over 100,000 students worldwide, the organisation is known for its commitment to excellence and innovation in learning.

    Having modernised its technology stack and introduced digital platforms for parents and teachers, the group is now turning its attention to the next frontier: unlocking the power of data to drive smarter decisions, enhance student experiences, and support its global growth.

    The Opportunity

    We’re looking for a Principal Data Scientist to build and own the organisation’s data science capability from the ground up.

    This is a newly created role at the centre of the company’s digital and data strategy — working closely with the CIO and senior leadership team to define where and how data can deliver the most value.

    You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as:

  • Identifying patterns in student engagement and performance.
  • Predicting churn rates and optimising retention.
  • Understanding what drives new enrolments across schools and regions.
  • Enabling teachers and parents to gain deeper, actionable insights.

    This is a rare opportunity to shape a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment.

    What You’ll Do

  • Establish and lead the data science and machine learning capability.
  • Partner with the CIO and executive team to define data priorities and build predictive solutions.
  • Translate complex insights into clear, actionable outcomes for business stakeholders.
  • Build the foundation for advanced analytics and data-driven decision-making across the organisation.
  • Collaborate across application, marketing, and operational teams to identify and deliver measurable business impact.

    About You

  • Proven experience leading data science or advanced analytics in a scaling or transformative environment.
  • Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes.
  • Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics.
  • Commercially minded — able to identify high-impact opportunities and measure value delivered.
  • Tech stack is open for this hire to implement best practices but this is roughly what they are currently using Python, SQL, Azure (AWS or GCP if also fine) + experience with LLMs and GenAI is beneficial.
  • Experience within a PE-backed or high-growth company is a strong advantage (but not essential).

    If this role sounds of interest and would like to find out some more, please apply through the AD.

    Principal Data Scientist

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.