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Data Scientist/ ML Engineer – Data-Driven Digital Agency
Location: Hybrid (London) or UK Remote
Are you a Data Scientist or ML Engineer ready to make an impact across the full data science lifecycle? Do you thrive in fast-paced environments, enjoy wearing multiple hats, and take pride in turning ideas into production-ready solutions? My client is a leading data-driven digital agency, looking for a Data Scientist/ML Engineer to join their high-impact Marketing Sciences team. You'll work on cutting-edge data science projects that directly drive campaign performance, customer engagement, and revenue growth for some of the world's biggest brands.
What You’ll Be Doing:
* Build & Optimise Models: Design and implement predictive models including causal AI campaign modelling, forecasting engines, pricing elasticity models, and recommender systems.
* Lead Projects & People: Guide a team of data scientists across multiple projects and potentially upskill those around you.
* Deliver Real Business Impact: Use predictive and prescriptive analytics to generate insights that translate into tangible improvements for client campaigns and marketing strategies.
* Prototype & Scale: Develop tools, frameworks, and self-service prototypes to showcase the agency’s capabilities.
* Client-Facing Influence: Present technical concepts clearly to both technical and non-technical stakeholders.
* Document & Collaborate: Work cross-functionally, ensuring processes are documented and scalable.
Must-Have Experience:
* Extensive experience building machine learning models for marketing use cases, with advanced skills in segmentation, recommendation, campaign optimisation, forecasting, etc.
* Proficiency in Python, SQL, Bash, Git; familiarity with tools like Pandas, Jupyter notebooks, PyTorch.
* Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision.
* Solid understanding of experimentation methods including A/B testing.
* Strong communication skills and ability to translate complex analyses into actionable insights.
Nice-to-Haves:
* Familiarity with marketing-specific measurement models such as Media Mix Modelling (MMM).
* Knowledge of model versioning (e.g., MLFlow), API frameworks (FastAPI), or building dashboards (Dash or Streamlit).
The Opportunity: You’ll work across multiple industries and household-name brands, contributing to meaningful campaigns powered by cutting-edge AI and analytics. This role offers variety, high visibility, and the chance to shape data strategy both technically and strategically.
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