Hybrid Data Scientist for Consumer Behaviour Analytics

Datatech Analytics; City Of London; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

Datatech Analytics in Central London is seeking a Data Scientist to analyze consumer behaviour data and deliver insights across leading brands. You’ll apply rigorous statistical thinking to large-scale datasets and contribute to client reporting and data products.

The role involves defining cohorts, applying causal inference methods, and developing pipelines, with 1–3 years of experience and strong Python/SQL skills. Hybrid working with three days in office per week.

Qualifications

• 1–3 years of Data Science experience or equivalent (graduate projects/competitions).
• Strong Python skills, especially pandas and NumPy.
• Strong SQL skills including CTEs, window functions and aggregation.
• Solid understanding of applied statistics (hypothesis testing, confidence intervals).
• MMM experience or exposure to marketing mix modelling environment.
• Awareness of selection bias, confounding, and assumptions behind methods.
• Knowledge of causal inference techniques such as A/B testing, diff-in-diffs or matching.
• Strong written and verbal communication skills; ability to explain technical concepts clearly.
• Experience using AI or coding assistants with rigorous validation of outputs.

Responsibilities

• Work with large-scale behavioural datasets covering consumer activity across platforms.
• Define cohorts and datasets using SQL, including complex aggregations, CTEs and window functions.
• Apply statistical methods including hypothesis testing, confidence intervals and experimental analysis.
• Work with causal inference techniques such as A/B testing, diff-in-diffs and matching.
• Investigate selection bias, confounding and other factors affecting result validity.
• Develop and maintain data aggregation pipelines and datasets used across the business.
• Contribute to PII detection and client reporting processes.
• Validate analytical results against source data and investigate anomalies.
• Write clear, maintainable Python code reusable by others.
• Collaborate through GitHub, pull requests and code reviews.
• Present findings, methodologies and caveats clearly to clients and internal stakeholders.
• Use AI and coding assistants effectively while reviewing outputs.

Skills

Data Science

Python

SQL

Statistics

MMM

Causal Inference

Communication

Curiosity

Job description

Datatech Analytics in Central London is seeking a Data Scientist to analyze consumer behaviour data and deliver insights across leading brands. You’ll apply rigorous statistical thinking to large-scale datasets and contribute to client reporting and data products.

The role involves defining cohorts, applying causal inference methods, and developing pipelines, with 1–3 years of experience and strong Python/SQL skills. Hybrid working with three days in office per week.