Principal / Lead Data Scientist (Basé à London)

Jobleads
Holloway
2 weeks ago
Applications closed

Related Jobs

View all jobs

Principal / Lead Data Scientist (Basé à London)

Principal / Lead Data Scientist (Basé à London)

Chief Data Scientist

Principal Data Scientist / AI Engineer

Principal Data Scientist

Principal Data Scientist

Team / Department: Data Science Team within Marketing Sciences Department

Line Manager: SVP, Head of Data Science

Team Lead: SVP, Head of Data Science

The Role

Are you a seasoned data scientist with a passion for leading teams and driving innovative solutions in the marketing industry? Do you thrive in dynamic, fast-paced environments where your expertise can make a tangible impact? If so, join our world-class Data Science team at RAPP as a Principal / Lead Data Scientist! Led by George Cushen (https://www.linkedin.com/in/cushen/), you'll be at the forefront of leveraging AI to reinvent marketing for some of the world's biggest brands, including Ralph Lauren, KFC and Mercedes.

The position is for a Principal or Lead Data Scientist depending on experience.

What You’ll Do:

  • Innovate and Optimise:Design, build, and implement cutting-edge predictive models such as causal AI campaign modelling, campaign forecasting engines, pricing elasticity models, and recommender engines that drive media performance, personalise customer experiences, and optimise revenue for our clients.
  • Lead and Mentor:Lead a team of data scientists, providing guidance, mentorship, and fostering their professional growth. Oversee multiple data science projects, ensuring they are delivered on time and meet or exceed client expectations. Depending on experience, there may be the opportunity for direct reports.
  • 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 degree 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:

  • A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling.
  • Experience with RNNs, 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!

About RAPP

We are RAPP – world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that values diversity and emphasises personal well-being.

#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.