Senior Data Scientist

Senior Data Scientist

Data Science Team within Marketing Sciences Department

SVP, Data Science

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

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

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

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, and Mercedes.

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

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, 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 problem-solving skills, attention to detail, and a growth mindset to continuously learn and 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.
• Hands-on knowledge of model versioning (MLflow), API design (FastAPI), or dashboard building (Dash).

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

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

We are RAPP, and we can't wait to meet you!