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

Apply Now

Principal Data Scientist (Freelance)

RAPP
London
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Product Manager, Data Science & Machine Learning

Principal Machine Learning Engineer

Engineering Manager, Machine Learning Platform

Data Scientist - Ad Campaign Performance

Senior Pricing Data Scientist

Are you passionate about using data to transform the future of marketing? Do you thrive in dynamic environments where every project brings new challenges and opportunities? If so, we want you to join our world-class Data Science team at RAPP! Led by George Cushen, our team of 8 talented data scientists is at the forefront of leveraging AI to reinvent marketing for some of the worlds biggest brands, including Virgin Media O2 and Mercedes.

As part of the Omnicom Precision Marketing Group (OPMG), we combine data-driven insights with cutting-edge technology to deliver unparalleled marketing solutions across a variety of industries. We’re not just looking for a data scientist; we’re looking for someone who’s eager to dive into diverse projects, collaborate with brilliant minds, and push the boundaries of what’s possible.

What You’ll Do:

  • Innovate and Optimise:Design, build, and implement cutting-edge predictive models such as campaign forecasting engines, causal AI campaign modelling, pricing elasticity models, and recommender engines that drive media performance, personalise customer experiences, and optimise revenue for luxury fashion brands.
  • Uncover Insights:Use predictive and prescriptive techniques to analyse data, uncover trends, and deliver actionable recommendations that make a real impact on our clients businesses.
  • Build and Prototype:Develop data solutions, tools, and prototypes that showcase our capabilities and empower clients with self-service frameworks.
  • Communicate Effectively:Present your findings and recommendations in a way that’s both clear and engaging, whether you’re talking to a technical team or a non-technical client.
  • Collaborate and Document:Work closely with cross-functional teams in a fast-paced, entrepreneurial environment and ensure your processes are documented for scalability.

What You’ll Bring:

Must-Have:

  • A BSc in Computer Science, Mathematics, Physics, or a related field.
  • Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend.
  • Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more.
  • Experience with A/B testing and other experimentation methods to validate model performance and business impact.
  • Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines.
  • Strong problem-solving skills, creativity, and attention to detail.
  • Excellent communication skills with the ability to distil complex analyses into insights that clients can easily understand and act on.

Nice-to-Have:

  • Advanced degrees (MSc or PhD) in a relevant field.
  • A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling.
  • Experience with NLP, Computer Vision, GenAI, CausalAI, GraphAI, and advanced techniques.
  • Familiarity with versioning models (MLFlow), API design (FastAPI), and building custom dashboards (Dash).

Why You’ll Love It Here:

  • Variety and Challenge:No two projects are the same. You’ll work across multiple industries, constantly learning and growing as you tackle new problems.
  • Innovation at the Core:We’re at the cutting edge of AI and marketing, and you’ll have the freedom to experiment, innovate, and shape the future.
  • Collaborative and Fun Culture:We’re a tight-knit team that values collaboration, creativity, and having fun while doing great work.
  • Global Impact:As part of Omnicom, you’ll be contributing to projects that have a global impact, working with some of the biggest brands in the world.

If you’re excited by the prospect of joining a fast-paced, innovative environment where you can make a tangible difference, we’d love to hear from you!

J-18808-Ljbffr

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.