Lead Data Scientist: Causal AI & Uncertainty (Hybrid)

Publicis Groupe; Greater London; Hybrid; GBP 60,000 - GBP 90,000; Full time

Job summary

A leading marketing agency in Greater London is seeking a Lead Data Scientist to apply cutting-edge statistical methods and drive data-informed decisions. This role involves designing experiments, applying causal inference techniques, and translating complex data into actionable insights. Candidates should have an advanced degree with over 3 years of experience in statistical methods. The position offers competitive benefits, including flexible working arrangements and extensive support programs for employees.

Benefits

Pension

Private Medical Insurance

Reflection Days

HELP@HAND benefits

Family friendly policies

Hybrid working options

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.

Responsibilities

• Design and analyze causal inference experiments using randomized methods.
• Develop conformal prediction models to quantify uncertainty.
• Translate complex data challenges into impactful solutions.

Skills

Statistical methods

Causal inference

Python or R

Experimental design

Clear communication

Education

Advanced degree (MS/PhD) in quantitative field

Tools

Statistical libraries (Python/R)

Job description

A leading marketing agency in Greater London is seeking a Lead Data Scientist to apply cutting-edge statistical methods and drive data-informed decisions. This role involves designing experiments, applying causal inference techniques, and translating complex data into actionable insights. Candidates should have an advanced degree with over 3 years of experience in statistical methods. The position offers competitive benefits, including flexible working arrangements and extensive support programs for employees.