Data Science Lead: Causal Inference & Experiments (Hybrid)

A global digital consultancy is looking for a Data Science Lead to drive statistical modeling and experimentation strategies across major brands. This senior role involves designing causal inference experiments, collaborating with teams, and presenting findings clearly. Candidates should have an advanced degree in a quantitative field and 3+ years of relevant experience. Familiarity with Python or R is required, along with strong communication skills. The position offers a hybrid working pattern with approximately 2-3 days onsite in London.#J-18808-Ljbffr…