Causal Inference DS

Job Title Senior Causal Inference Data Scientist

Logistics

• Contract length: 3 months (immediate start)

• Day rate: £500-£550 (Outside IR35)

• Location: Hybrid-2 days/week in London office

• Interview process: 2-3 stages (including case study & stakeholder presentation)

Client Context You'll help blue-chip clients optimise multi-million-pound marketing budgets by blending cutting-edge causal-inference techniques with crystal-clear stakeholder communication.

What You'll Do

• Design and implement causal-inference frameworks (quasi-experimental, synthetic control) to quantify marketing uplift and ROI

• Build predictive and optimisation models to guide budget allocation across channels

• Translate complex statistical findings into concise presentations and dashboards for senior non-technical stakeholders

• Partner with marketing, data engineering and product teams to integrate models into live reporting pipelines

Must-Haves

• Master's degree in Statistics, Econometrics, Data Science or related quantitative field

• Hands-on experience with causal-inference methods, including synthetic control techniques

• Deep conceptual understanding of statistical theory

• Excellent verbal and written communication-comfortable presenting to C-suite

• Demonstrable stakeholder engagement (beyond backend coding)

• Right to work in the UK

Desirable

• 3+ years' experience in data-driven marketing, analytics consultancy or similar

• Familiarity with quasi-experimental designs and A/B testing frameworks

• Background in software design, data structures or production-grade ML engineering

Technical Toolbox

• Modelling & data: Python or R, SQL

• Containerisation: Docker

• Cloud platforms: AWS, GCP or Azure