Data Scientist - London

London
3 weeks ago
Create job alert

Data Scientist - Join One of the UK's Most Exciting Tech Start-ups

Location: London (Hybrid)

Salary: £65,000-£110,000 + Equity

Our client is one of the UK's fastest-growing tech start-ups, recently recognised as one of LinkedIn's Top 10 UK Start-ups and already active nationwide. They're seeking a talented Data Scientist to play a pivotal role in scaling the company's AI capabilities and delivering data-driven impact at speed.

The Role:

As a Data Scientist, you will apply advanced analytics, AI, and problem-solving skills to interpret partner data, uncover trends, and build intelligent solutions that enhance operational efficiency within a booming UK Market.

Key Responsibilities:

Develop AI models to predict and optimise labour deployment based on demand patterns
Build systems to monitor and improve service quality across partner operations
Analyse data from high-profile hospitality partners to identify opportunities for value creation
Design visualisations and dashboards for both internal and external stakeholders
Maintain and scale analytics infrastructure for broader impact
Collaborate across technical and non-technical teams to design and implement solutionsWhat We're Looking For:

2+ years' experience building production-grade AI/ML models
Strong Python skills and familiarity with leading AI/ML libraries
Solid understanding of supervised and unsupervised learning techniques
Experience in demand prediction, optimisation, or computer vision is advantageous
Comfortable working with cloud platforms (preferably AWS) and services like SageMaker or Lambda
Strong mathematical and statistical foundations, with a sharp eye for patterns and insights
Willingness to build basic backend development skills (Python/Django or Go) to support deploymentWhat's on Offer:

Competitive salary: £65,000-£110,000 (depending on experience and skills)
Private medical insurance
Unlimited holiday allowance
Office gym membership
Equity in a well-funded, high-growth startup
Friendly, social team culture based in the heart of Camden
Dog-friendly officeThis is a rare opportunity to join a mission-led business that's reshaping a vital sector, with real traction, strong backing, and an ambitious roadmap. If you're ready to put your data science skills to work in a dynamic, real-world setting-this is the role for you.

Apply now to be part of something transformational.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

Related Jobs

View all jobs

Data Scientist

Data Scientist/Machine Learning Engineer - RNA Design

Data Scientist - active NPPV3 required

Data Scientist - London

Data Scientist | London | AI-Powered SaaS Company

Data Scientist - Remote

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

When Qubits Fuel Neural Networks: The Emerging Frontier of Quantum-Enhanced AI

Artificial Intelligence (AI) has soared to unimaginable heights over the last few years, revolutionising sectors ranging from healthcare and finance to logistics and entertainment. But while deep learning models have grown more sophisticated and powerful, they remain tied to the limitations of classical computing systems. Enter quantum computing, a burgeoning field that leverages qubits—quantum bits—to achieve processing speeds that could leave even today’s most advanced supercomputers in the dust. What if we combined these two forces? Quantum-enhanced AI aims to integrate quantum hardware and algorithms into AI workflows, potentially unlocking efficiencies and capabilities that are currently out of reach. Although this domain is still in its infancy, experts predict it could reshape entire industries in the not-so-distant future. For professionals in AI, this is more than just an interesting development; it’s a pivotal shift that could spawn new roles, research areas, and opportunities. In this thought-leadership piece, we will: Outline the basics of quantum computing and why it matters to AI. Examine how quantum resources might supercharge neural networks. Highlight the career paths at the intersection of quantum and machine learning. Discuss the long-term outlook and what it means for AI professionals looking to stay ahead. Whether you’re already immersed in AI or just beginning to explore its potential, strap in—this new frontier promises a radical transformation.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.