Data Scientist

🚨 Urgent Opportunity – Data Science Lead 🚨

I’m working with a global consultancy/data analytics organisation that urgently needs a Data Science Lead to drive advanced causal inference, statistical modeling, and experimentation strategies across complex datasets. 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 randomized controlled trials, 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, including non-technical audiences

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 and causal inference 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 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 their intersection with causal reasoning
  • Excellent communication skills, with the ability to explain complex statistical concepts to non-technical audiences

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

Job Details

Company
Propel
Location
City of London, London, United Kingdom
Hybrid / Remote Options
Posted