Lead Data Scientist: Causal Inference & Uncertainty

UNAVAILABLE; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global digital agency is seeking a Lead Data Scientist to apply advanced statistical methods and drive data-informed decisions. Candidates should hold an advanced degree and have over three years of experience in statistical analysis and causal inference. Responsibilities include designing experiments, developing models, and presenting actionable insights to stakeholders. The role enjoys attractive benefits, including hybrid working opportunities and additional leave days for well-being.

Benefits

Pension

Life Assurance

Private Medical and Income Protection Plans

Opportunity to work anywhere in the world for up to 6 weeks a year

Additional paid leave for well-being

24/7 helpline for personal and professional support

Family-friendly policies with full pay for key family milestones

Birthday day off and bank holiday swap

Agency discounts and onsite gym

Qualifications

• Minimum of 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 various methods.
• Develop conformal prediction models to quantify uncertainty.
• Collaborate with teams to design rigorous experiments.

Skills

Statistical expertise

Experimental design

Python or R proficiency

Causal inference techniques

Clear communication skills

Education

Advanced degree (MS/PhD) in a quantitative field

Tools

Statistical and machine learning libraries

Job description

A global digital agency is seeking a Lead Data Scientist to apply advanced statistical methods and drive data-informed decisions. Candidates should hold an advanced degree and have over three years of experience in statistical analysis and causal inference. Responsibilities include designing experiments, developing models, and presenting actionable insights to stakeholders. The role enjoys attractive benefits, including hybrid working opportunities and additional leave days for well-being.