Data Scientist (Mid-level)

Hybrid:3 days in the office / 2 days remote

Location:London

About RAPP

We are RAPP world leaders in activating growth with precision and empathy at scale. As a global nextgeneration 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 individuals needs beliefs behaviours and aspirations. We foster an inclusive workplace that emphasizes personal wellbeing.

Role

Are you a data scientist eager to broaden your impact across the full stack of data science Do you enjoy fastpaced environments wearing multiple hats and turning ideas into productionready solutions At RAPP were looking for a Data Scientist with a growth mindset a generalist toolkit and an appetite to grow within a worldclass marketing agency. Youll work alongside senior data scientists engineers strategists and creatives to design build and deploy models that make a real difference for global clients like Ralph Lauren KFC and Mercedes. This role is ideal for someone whos ready to grow quickly and thrives in a collaborative highvelocity setting. Youll be part of a worldclass team led by George Cushen ( ) with deep experience delivering highimpact AI solutions across marketing and customer experience.

What Youll Do

• Model & Build: Support the design and deployment of pragmatic machine learning solutions from feature engineering in SQL to model development in Python and deploying in production environments like AWS.
• Explore & Prototype: Help bring new ideas to life by quickly prototyping new models and frameworks that solve business problems or spark client interest.
• Own & Iterate: Take ownership of smaller workstreams within larger projects with opportunities to grow into leading entire projects.
• Solve Across the Stack: Youll work endtoend writing clean testable code tuning models working with APIs and understanding data pipelines and infrastructure.
• Communicate Simply: Share findings and rationale in a clear concise way tailored to technical and nontechnical audiences.
• Learn Fast Move Fast: Bring energy curiosity and clarity of thought to everything you do. Pace and impact matter here.

What Youll Bring

MustHave:

• A degree in a STEM discipline (Computer Science Maths Engineering etc.) or equivalent practical experience.
• 24 years of experience delivering DS/ML solutions in production environments ideally in settings where youve had to wear multiple hats (e.g. startups small teams).
• Fluency in Python and SQL; experience building and deploying models endtoend from feature engineering to performance validation.
• Comfort with cloud tools (AWS preferred) Git and CI/CD pipelines.
• Ability to work independently and juggle priorities without getting stuck in analysis paralysis.
• Concise communication and documentation skills especially under time pressure.

NicetoHave:

• Experience with marketing data or customerlevel modelling (e.g. uplift attribution causal AI graph AI campaign optimization spend optimization).
• Exposure to MLOps tools like MLflow FastAPI Airflow or similar.
• Experience with experimentation and validation frameworks (e.g. A/B testing).
• Startup or freelance experience that required pace clarity and autonomy.

Why This Role is Different

Unlike many midlevel roles this isnt a onetrack position. You wont just tune models or clean data youll do it all with support from senior team members but autonomy to explore experiment and deliver. This is the perfect next step for a generalist with technical foundations and the hunger to grow into a senior leader in a multidisciplinary environment.