Data Science & Prototyping Developer

Overview

Data Science & Prototyping Developer

Marketing & Communications

We’re looking for a highly autonomous Data Science & Prototyping Developer to join our Marcom Data Analysis & Insights team.

This role combines deep data‑science expertise with rapid‑prototyping skills to build the next generation of AI‑integrated reporting and measurement tools.

You’ll work closely with a lean team to transform high‑level ideas into working solutions that inform marketing decisions across the organisation.

Description

• As a Data Science & Prototyping Developer, you will act as an extension of the Data Analysis & Insights Lead to design, build and iterate on analytical prototypes and automated reporting solutions.
• You’ll take ownership of everything from exploratory data analysis and modelling to developing proof‑of‑concept applications that enable deeper insight into marketing performance.
• The environment is intentionally lean; success requires someone who thrives on independence, communicates clearly with non‑technical stakeholders, and cares deeply about craftsmanship.
• This role will also temporarily steward our legacy web‑analytics reporting while working to automate it away.
• Our hybrid schedule means you’ll collaborate in‑person in London Tuesday–Thursday and work remotely Monday and Friday.

Responsibilities

• Design and build marketing analytics reporting using Adobe Analytics data, Tableau and in‑house visualisations.
• Develop automated pipelines that deliver campaign performance and event‑level reporting with minimal manual intervention.
• Own legacy web‑analytics workflows and drive their migration to automated solutions.
• Prototype and integrate AI/ML models to enhance analytical workflows and automate insight generation.
• Explore and develop new measurement methodologies and modelling techniques; conduct exploratory analyses to surface new insights.
• Translate business questions into structured analytical approaches and communicate findings clearly to non‑technical partners.
• Balance urgent ad‑hoc analytical requests with longer‑term R&D initiatives, maintaining momentum in a fluid environment.

Minimum Qualifications

• 5+ years’ experience in data analytics, data science or analytics engineering roles.
• Advanced proficiency in Python for data processing, modelling and rapid prototyping.
• Hands‑on experience with modern data warehouses (Snowflake strongly preferred)
• Proficiency with Git and professional software‑development workflows.
• Working knowledge of digital analytics concepts; experience with Adobe Analytics or Google Analytics.
• Experience with data visualisation tools or libraries (e.g., Tableau/Looker or D3/Plotly).
• Demonstrated experience integrating LLMs/AI into data workflows beyond simple chatbot applications.
• Portfolio showcasing applied machine‑learning solutions in business contexts.
• Understanding of marketing analytics and campaign measurement.
• Ability to gather requirements from non‑technical stakeholders and translate
• them into technical solutions.

Preferred Qualifications

• Experience with CI/CD pipelines and automated deployments.
• Familiarity with Agile or Scrum practices.
• Background in statistical modelling, forecasting or time‑series analysis.
• Knowledge of A/B testing, causal inference and experimental design.
• Previous experience in marketing or communications analytics.
• Experience with additional programming languages (NodeJS, Deno, R, Rust, Swift, etc.).