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Data Scientist

Publicis Groupe
London, UK
2 months ago
Apply on uk.indeed.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
uk.indeed.com

Tech stack

Data Analysis Python (Programming Language) Machine Learning Programming Languages

Job description

  • Build and apply frameworks that quantify uncertainty in predictive models, enabling confident decision-making
  • Identify, assess and manage confounding variables in observational datasets
  • Develop robust statistical approaches to estimate causal impact across a range of client challenges
  • Translate business questions into structured experimental designs and analytical approaches
  • Partner with cross-functional teams to embed data science into product, marketing and consulting initiatives
  • Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences

Requirements

  • Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience
  • Hands-on experience applying experimental design and causal inference techniques to real-world data
  • Understanding of modern approaches to uncertainty estimation in machine learning (e.g. conformal prediction)
  • Proficiency in Python, R, or similar programming languages used for data analysis
  • Familiarity with causal frameworks such as potential outcomes or causal graphs
  • Working knowledge of machine learning and how it integrates with causal reasoning
  • Clear and confident communicator, able to explain complex ideas in a simple and engaging way

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