Senior Data Scientist & Analytics Lead (Hybrid)

Capture; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Discretionary bonus

Wellbeing fund

Headspace subscription

Learning fund

Wellbeing days

Summer conference

Early finish Fridays

Hybrid working

Job summary

SMG in London or Nottingham is seeking a Senior Data Scientist to lead the technical development of our measurement and advanced analytics capability. You will craft robust methodologies and models across retail media networks, while guiding a small team of analysts and data scientists.

You will design, code, test, and validate analytical solutions, partnering with Data Engineering, Platform and Product to transform methodologies into production-ready systems.

Qualifications

• Experience in marketing effectiveness or advanced analytics.
• Expertise in attribution, experimental design and causal inference.
• Strong Python and SQL with well-tested analytical code.
• Experience with cloud data platforms (Snowflake/Databricks/Abacus).
• Ability to communicate complex methodologies to non-technical stakeholders.

Responsibilities

• Lead design and development of advanced retail media measurement methodologies.
• Develop capabilities in attribution, incrementality and causal inference.
• Identify gaps and prototype using rigorous statistical methods.
• Partner with Data Engineering and Product to deliver scalable solutions.
• Mentor and manage a small team of analysts and data scientists.

Skills

Attribution

Causal inference

Experimental design

Forecasting

Machine learning

Python

SQL

Cloud data platforms

Tools

Snowflake

Databricks

Abacus

Job description

SMG in London or Nottingham is seeking a Senior Data Scientist to lead the technical development of our measurement and advanced analytics capability. You will craft robust methodologies and models across retail media networks, while guiding a small team of analysts and data scientists.

You will design, code, test, and validate analytical solutions, partnering with Data Engineering, Platform and Product to transform methodologies into production-ready systems.