Lead Ml / Data Scientist

Role : Principal / Lead 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 Are you a seasoned data scientist with a passion for leading teams and driving innovative solutions in the marketing industry? If so, join our world-class Data Science team at RAPP as a Principal / Lead Data Scientist! Led by George 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. 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. Develop data solutions, tools, and prototypes that showcase our capabilities and empower clients with self-service frameworks. 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. Excellent communication skills with the ability to distil complex analyses into insights that clients can easily understand and act on. 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). Variety and Challenge: No two projects are the same. 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. 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. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. Employment type Full-time Job function Engineering and Information Technology Research Scientist (Quantum Chemistry and Machine Learning), London Quantitative Researcher (Machine Learning) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #