▷ Immediate Start: Data Scientist / ML Engineer...

Job Description

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, 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.