Data Scientist

EF Recruitment; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading SaaS organization in Central London is seeking an experienced Data Scientist for a 12-month contract. This hybrid role involves assisting the transition to causal-based decision making, forecasting business outcomes, and leading the Data Clean Room (DCR) strategy. Candidates must have over 5 years of experience in data analytics and a B.Sc. in a relevant field. Benefits include a global company environment and free breakfast.

Benefits

Global company

Long contract

Free breakfast

Qualifications

• 5+ years of experience working in marketing science or data analytics teams.
• Ability to write complex CTEs, window functions, and optimize joins for distributed systems.
• Hands-on experience with at least one major DCR environment.

Responsibilities

• Build predictive models to simulate business outcomes under various scenarios.
• Serve as the analyst lead for the Data Clean Room strategy.
• Design and execute Conversion Lift Studies and Brand Lift Studies.

Skills

Marketing science experience

Data analytics experience

Advanced SQL

Predictive modeling

Education

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

Job description

Our client an award winning SaaS organisation providing software solutions to the SME marketplace is now seeking an experienced Data Scientist 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 marketing science or data analytics teams.
• B.Sc. Economics, Statistics, Mathematics or 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