Lead Data Scientist: Causal Inference & Uncertainty

Publicis Groupe Holdings B.V; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading marketing agency in Greater London is seeking a Lead Data Scientist. In this role, you will apply advanced statistical methods to derive actionable insights and support data-driven decisions. Ideal candidates possess a strong statistical background and proficiency in Python or R, with a minimum of 3 years of hands-on experience. The position offers a hybrid working pattern with robust benefits, including flexible working arrangements and additional leave days dedicated to employee wellness.

Benefits

WORK YOUR WORLD opportunity

REFLECTION DAYS

HELP@HAND BENEFITS 24/7

FAMILY FRIENDLY POLICIES

HYBRID WORKING

Agency discounts

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 analyze causal inference experiments using randomized and quasi-experimental methods.
• Develop conformal prediction models to quantify uncertainty in machine learning predictions.
• Collaborate with product, engineering, and business teams to design rigorous experiments.

Skills

Statistical analysis

Experimental design

Machine learning

Communication

Python or R

Education

Advanced degree (MS/PhD) in a quantitative field

Tools

Statistical libraries

Job description

A leading marketing agency in Greater London is seeking a Lead Data Scientist. In this role, you will apply advanced statistical methods to derive actionable insights and support data-driven decisions. Ideal candidates possess a strong statistical background and proficiency in Python or R, with a minimum of 3 years of hands-on experience. The position offers a hybrid working pattern with robust benefits, including flexible working arrangements and additional leave days dedicated to employee wellness.