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Job Description

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

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

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.