Lead Data Scientist — Causal Inference & Uncertainty

Publicis Groupe UK; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading marketing agency is seeking a Lead Data Scientist to apply cutting-edge statistical methods to uncover insights and drive data-informed decisions. This role involves designing experiments and working collaboratively with teams to present actionable strategies. Ideal candidates will have advanced degrees and substantial experience in statistical applications, along with proficiency in Python or R. The position offers great benefits including opportunities for global work and additional well-being days.

Benefits

WORK YOUR WORLD opportunity

Reflection Days

Help@hand benefits 24/7

Family Friendly Policies

Birthday Day Off

Agency discounts, onsite gym

Qualifications

• 3+ years of hands-on experience applying statistical methods to real-world data.
• Deep knowledge of experimental design and observational study techniques.
• Strong understanding of conformal prediction theory and applications.

Responsibilities

• Design and analyse causal inference experiments using both randomized and quasi-experimental methods.
• Develop conformal prediction models to quantify uncertainty in machine learning predictions.
• Present insights and methodologies in a clear and actionable way to stakeholders.

Skills

Statistical methods application

Experimental design

Causal inference techniques

Machine learning libraries

Python or R proficiency

Communication skills

Education

Advanced degree (MS/PhD) in quantitative field

Tools

Python

R

Job description

A leading marketing agency is seeking a Lead Data Scientist to apply cutting-edge statistical methods to uncover insights and drive data-informed decisions. This role involves designing experiments and working collaboratively with teams to present actionable strategies. Ideal candidates will have advanced degrees and substantial experience in statistical applications, along with proficiency in Python or R. The position offers great benefits including opportunities for global work and additional well-being days.