Data Scientist

**🚨 Urgent Opportunity – Data Science Lead 🚨** I’m working with a global digital consultancy that urgently needs a **Data Science Lead** to drive advanced statistical modelling, experimentation strategies, and causal analysis across major brand portfolios. This is a senior, hands\-on role working in a fast\-paced, highly collaborative environment. **What you’ll be doing:** * Design, implement, and analyse causal inference experiments, including natural experiments and quasi\-experimental methods * Develop and apply conformal prediction frameworks to provide reliable uncertainty estimates for machine learning models * Identify and control for confounding variables in observational studies * Create robust statistical methodologies for causal effect estimation * Collaborate with cross\-functional teams to translate business questions into rigorous experimental designs * Present technical findings to stakeholders in clear, actionable terms **What we’re looking for:** * **Advanced degree (MS or PhD) in a quantitative discipline** with deep understanding of statistics * 3\+ years of professional experience applying statistical methods to real\-world data * Demonstrated expertise in experimental design, including randomized controlled trials and observational study methodologies * Strong understanding of conformal prediction theory and applications * Proficiency in programming languages such as Python or R, and relevant statistical packages * Experience with causal inference frameworks (e.g., potential outcomes, causal graphs, do\-calculus) * Knowledge of modern machine learning techniques and how they intersect with causal reasoning * Excellent communication skills, with the ability to explain complex statistical concepts to non\-technical audiences * **Agency or client\-service experience is highly desirable** — familiarity with fast\-moving campaigns and cross\-functional collaboration is a big plus **Preferred skills:** * Experience with heterogeneous treatment effect estimation * Familiarity with Bayesian methods for causal inference * Background in epidemiology is a plus * Experience working with a causal inference ecosystem (e.g., PyWhy, CausalImpact, Synth, GeoLift) Day rate: £450 per day IR35: Outside IR35 Contract length: 2 months initially Working pattern: Hybrid / remote (approx. 2–3 days onsite in London) If this sounds like you, drop me a DM or email your CV to **zoe.hinkinson@propellondon.com**