Role: Senior Data Scientist

Team / Department: Data Science Team within Marketing Sciences Department

Line Manager: SVP, Head of Data Science

WHO WE ARE

We are RAPP world leaders in activating growth with precision & empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, & empathy to foster client growth. We champion individuality in the marketing solutions we create, & in our workplace. We fight for solutions that adapt to the individuals needs, beliefs, behaviours, & aspirations.

We foster an inclusive workplace that values diversity & emphasises personal well-being.

THE ROLE

Are you a seasoned data scientist with a passion for driving innovative solutions for clients in the marketing industry? Do you thrive in dynamic, fast-paced environments where your expertise can directly impact major global brands? If so, join our world-class Data Science team at RAPP as a Senior 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 clients such as Ralph Lauren, KFC, & Mercedes.

What Youll Do:

• Innovate & Optimise: Design, build, & implement pragmatic predictive models (e.g., causal AI campaign modelling, forecasting engines, price elasticity models) that drive marketing performance, personalize customer experiences, & optimize revenue for our clients.
• Support & Mentor: Collaborate with & provide guidance to junior data scientists - helping them grow technically & professionally. Depending on experience, this role may include oversight of smaller workstreams or the opportunity to lead sub-projects.
• Uncover Insights: Use predictive & prescriptive techniques to analyse data, uncover trends, & deliver actionable recommendations that have a tangible business impact.
• Build & Prototype: Develop data solutions, tools, & prototypes that showcase our capabilities & empower clients with self-service frameworks.
• Communicate Effectively: Present findings to both technical & non-technical audiences in a clear, engaging way.
• Collaborate & Document: Work closely with cross-functional teams in a fast-paced, client-centric environment, ensuring processes & solutions are well documented for scalability.

WHAT YOULL 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, & optimising marketing spend.
• Proficiency in Python, SQL, Bash, & Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, & more.
• Experience with A/B testing & other experimentation methods to validate model performance & business impact.
• Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), & CI/CD pipelines.
• Excellent problemsolving skills, attention to detail, & a growth mindset to continuously learn & adapt.
• Strong communication skills - capable of translating complex analyses into actionable insights for stakeholders.

Nice-to-Have:

• Banking/Fintech experience: familiarity with data typically found in regulated or financial industries, along with knowledge of building data solutions in these domains.
• A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling.
• Exposure to advanced techniques - RNNs, NLP, Computer Vision, GenAI, CausalAI, GraphAI, etc.
• Handson knowledge of model versioning (MLflow), API design (FastAPI), or dashboard building (Dash).

Why Youll Love It Here:

• Variety & Challenge: Work on diverse projects across multiple industries, continually expanding your skills & knowledge.
• Innovation at the Core: Were at the forefront of applying AI in marketing - & youll have the freedom to experiment, iterate quickly, & deliver real impact.
• Collaborative Culture: Join a tightknit team that values creativity, knowledge sharing, & fun.
• Global Impact: As part of Omnicom, youll contribute to initiatives for some of the worlds most recognisable brands.

If youre excited by the prospect of joining a fast-paced, innovative environment where your work truly matters, wed love to hear from you!