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

Nominate & Attend

Lead Data Scientist

Stanton House
City of London
2 weeks ago
Create job alert

🚀 We’re Hiring: Data Scientist | Fast-Growing Tech Company | London (Hybrid)


Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a fast-growing tech company where your models will drive strategic decisions and support high-impact business growth.


📍 Location: London (3 days per week in-office)


🔍 About the Role


We’re on the hunt for a talented Data Scientist with strong statistical foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, ambitious data team and play a key role in forecasting, modelling, and strategic planning across the business. Your insights will help shape operational and financial decisions company-wide.


🧠 What You’ll Do


Develop, deploy, and maintain predictive models to forecast performance and trends


Identify and test key features that drive business outcomes


Collaborate with technical and non-technical teams to communicate insights


Build visual tools or dashboards to monitor model outputs


Write clean, maintainable, and well-documented code


Share ideas to improve and evolve our data platform


🎯 What You Bring


Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy)


Strong statistical reasoning and analytical mindset


Ability to explain complex concepts to diverse stakeholders


Self-starter attitude with curiosity and drive


A degree in Data Science, Math, Statistics, or Computer Science preferred


4+ years of experience (we're flexible for exceptional candidates)


đź›  Hiring Process


60-minute technical interview


2-hour in-person case study + deep dive with our data team


30-minute conversation with our CFO


Sound like the kind of challenge you're ready for?


👉 Apply now to join a company where data is at the heart of everything we do.


#DataScienceJobs #HiringNow #MachineLearning #PythonJobs #SQL #TechCareers #LondonJobs #HybridWork

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist (Equity only)

Lead Data Scientist (Equity only)

Lead Data Scientist (Equity only)

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.