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 Data Scientist, RISK

Principal Data Scientist - Financial Services - London/Flexible

Principal Data Scientist

Principal Data Scientist...

Principal 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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.