Data Science & Prototyping Developer

Overview

Placement Type:

Temporary

Compensation:

£600-613 Daily

Up to £ per day

Start Date:

Jan 6, 2026

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 (, 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.).