Lead Data Scientist, Marketing Analytics & MMM

Hackajob Ltd; Coventry; On-site; GBP 59,000 - 73,000; Full time

Job summary

NEXT is seeking a Lead Data Scientist for the eCommerce Data Science team based at NEXT Head Office in Enderby, Leicestershire. You will build data-driven solutions with state-of-the-art machine learning, causal inference and experimentation to measure impact and guide business strategy.

You will lead end-to-end projects, mentor data scientists and collaborate with marketing teams to optimize campaigns using MMM, attribution and analytics dashboards.

Qualifications

• Leadership or mentoring experience in data science or analytics.
• Degree in statistics, CS, data science, economics, or related field.
• Strong marketing analytics expertise including MMM, attribution, and campaign measurement.
• Proficient in SQL, Python, R, PySpark; dashboarding in PowerBI/Looker.
• Experience with causal inference, experiments, and test design.
• Excellent communication to translate insights into business strategy.

Responsibilities

• Lead end-to-end data science projects and mentor junior data scientists.
• Develop MMM, predictive modelling, churn, LTV, attribution, and optimization.
• Collaborate with marketing teams and agencies to frame challenges and opportunities.
• Create dashboards and data products for self-serve analytics and real-time insights.
• Define data quality, governance and documentation standards.

Skills

Leadership

Data science

Marketing analytics

Machine learning

Experiment design

Communication

Education

Bachelor's/Master's or higher in Statistics/Data Science/CS

Tools

SQL

Python

R

PySpark

PowerBI

Looker

Job description

NEXT is seeking a Lead Data Scientist for the eCommerce Data Science team based at NEXT Head Office in Enderby, Leicestershire. You will build data-driven solutions with state-of-the-art machine learning, causal inference and experimentation to measure impact and guide business strategy.

You will lead end-to-end projects, mentor data scientists and collaborate with marketing teams to optimize campaigns using MMM, attribution and analytics dashboards.