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, we are looking for a Data Scientist/ ML Engineer to join their high-impact Marketing Sciences team. You'll be working 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. Depending on experience, this may include upskilling 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 strategy.
- Prototype & Scale: Develop tools, frameworks, and self-service prototypes that showcase the agency’s capabilities.
- Client-Facing Influence: Present technical concepts clearly to both technical and non-technical stakeholders.
- Document & Collaborate: Work cross-functionally and ensure processes are documented and scalable.
Must-Have Experience:
- Extensive experience building machine learning models for marketing use cases ADVANCED skills in segmentation, recommendation, campaign optimisation, forecasting, etc.
- Proficiency in Python, SQL, Bash, and 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 (e.g. 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 opportunity to shape data strategy at both a technical and strategic level.
