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Data scientist

Slough
Propel
Data scientist
Posted: 6 April
Offer 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


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

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