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AI Marketing Innovator

1 month ago

London, Greater London, United Kingdom RAPP Full time

We are seeking a talented Data Scientist to join our world-class team at RAPP, where you will have the opportunity to leverage AI to reinvent marketing for some of the world's biggest brands.

Company Overview

RAPP is part of the Omnicom Precision Marketing Group (OPMG), which combines data-driven insights with cutting-edge technology to deliver unparalleled marketing solutions across various industries. As a Data Scientist at RAPP, you will be at the forefront of using AI to drive media performance, personalise customer experiences, and optimise revenue for luxury fashion brands.

About the Role

This is an exceptional opportunity to innovate and optimise by designing, building, and implementing cutting-edge predictive models such as campaign forecasting engines, causal AI campaign modelling, pricing elasticity models, and recommender engines. You will work on diverse projects, collaborate with brilliant minds, and push the boundaries of what's possible in the field of AI marketing.

Your Responsibilities

  • Design, build, and implement cutting-edge predictive models that drive media performance, personalise customer experiences, and optimise revenue.
  • 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.

Requirements

To succeed in this role, you should 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.
  • Excellent communication skills with the ability to distil complex analyses into insights that clients can easily understand and act on.

What We Offer

We offer a competitive salary range of $120,000 - $180,000 per annum, depending on experience, as well as opportunities for professional growth and development in a dynamic and innovative environment.