Statistician and Data Modeler

EF Recruitment; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading SaaS organization is seeking an experienced Statistician / Data Modeller for a 12-month hybrid contract in Central London. Key responsibilities include building predictive models, leading Data Clean Room strategies, and executing rigorous conversion studies. The ideal candidate will have over 5 years of experience in data analytics, a relevant B.Sc degree, and advanced SQL skills. The role offers benefits like a global work culture and free breakfast.

Benefits

Global company

Long contract

Free breakfast

Qualifications

• 5+ years of experience in data analytics or markets science.
• Ability to write complex SQL queries.
• Experience with Marketing Mix Models and Bayesian statistics.

Responsibilities

• Build predictive models for business forecasting.
• Lead analyst for Data Clean Room (DCR) strategy.
• Design and execute Conversion Lift Studies and Brand Lift Studies.

Skills

Markets science experience

Data analytics experience

Advanced SQL

Marketing Mix Models (MMM)

Bayesian inference

Education

B.Sc in Economics, Statistics, Mathematics, or Data Science

Tools

SQL

Job description

Our client, an award-winning SaaS organisation providing software solutions to the SME marketplace, is now seeking an experienced Statistician / Data Modeller for a 12-month contract. You will be assisting in the company transition from correlation-based reporting to causal-based decision making, helping guide key marketing investment decisions.

Central London location, hybrid, with 2-3 days a week in the office.

Responsibilities

• Forecasting: Build predictive models to simulate business outcomes under various economic and budgetary scenarios, acting as the "radar" for the marketing department.
• Serve as the analyst lead for the Data Clean Room (DCR) strategy, specifically within Meta Advanced Analytics (AA)
• SQL: Write and optimize advanced SQL queries
• Learning Agenda & Causal Experimentation. Design and execute rigorous Conversion Lift Studies (CLS) and Brand Lift Studies (BLS).

Skills

• 5+ years of experience working in markets science or data analytics teams or other relevant roles.
• B.Sc in a quantitative Economics, Statistics, Mathematics, Data Science).
• SQL: Advanced level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems.
• Experience with Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves.

Useful experience

• Hands-on experience with at least one major DCR environment.
• Deep understanding of hypothesis testing, confidence intervals, p-values, and selection bias.
• Understanding of AdTech and paid media mechanics, margin profiles.

Benefits

• Global company, long contract
• Hybrid role
• Free breakfast