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 world's biggest brands, including Virgin Media O2 and Mercedes.

Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.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!

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