Data Scientist - London

Experis - ManpowerGroup
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist/Machine Learning Engineer - RNA Design

Data Scientist - London

Data Scientist | London | AI-Powered SaaS Company

Data Scientist

Data Scientist

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:

  1. Develop AI models to predict and optimise labour deployment based on demand patterns
  2. Build systems to monitor and improve service quality across partner operations
  3. Analyse data from high-profile hospitality partners to identify opportunities for value creation
  4. Design visualisations and dashboards for both internal and external stakeholders
  5. Maintain and scale analytics infrastructure for broader impact
  6. Collaborate across technical and non-technical teams to design and implement solutions

What We're Looking For:

  1. 2+ years' experience building production-grade AI/ML models
  2. Strong Python skills and familiarity with leading AI/ML libraries
  3. Solid understanding of supervised and unsupervised learning techniques
  4. Experience in demand prediction, optimisation, or computer vision is advantageous
  5. Comfortable working with cloud platforms (preferably AWS) and services like SageMaker or Lambda
  6. Strong mathematical and statistical foundations, with a sharp eye for patterns and insights
  7. Willingness to build basic backend development skills (Python/Django or Go) to support deployment

What's on Offer:

  1. Competitive salary: £65,000-£110,000 (depending on experience and skills)
  2. Private medical insurance
  3. Unlimited holiday allowance
  4. Office gym membership
  5. Equity in a well-funded, high-growth startup
  6. Friendly, social team culture based in the heart of Camden
  7. Dog-friendly office

This 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.

#J-18808-Ljbffr

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.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Jobs

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

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

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

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.