Senior Data Scientist - 202025

Harnham; Greater London; Remote; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Annual bonus

38 days holiday

Private healthcare

Flexible working

Regular meetups and discounts

Job summary

Harnham is seeking a senior marketing analytics professional to shape how marketing performance is measured in a fast-growing online marketplace. The focus is MMM, incrementality testing, attribution, and LTV modelling to inform budget decisions and drive commercial growth.

You will design experiments, translate statistical results into clear business recommendations, and partner with marketing stakeholders to optimise spend.

Qualifications

• Strong experience in marketing measurement, MMM, incrementality testing, or experimentation.
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design.
• Strong SQL skills with experience working in modern analytics environments.
• Experience with Python and tools such as Snowflake and dbt.
• Understanding of attribution, paid media measurement, and privacy-related challenges.
• Ability to communicate complex findings to non-technical stakeholders.

Responsibilities

• Own and enhance MMM to measure channel effectiveness and marginal returns.
• Design and evaluate incrementality tests, conversion lift studies, and geo experiments.
• Improve attribution and marketing measurement frameworks.
• Build and maintain LTV models to support acquisition strategy and budget decisions.
• Translate statistical analysis into clear commercial recommendations.
• Partner closely with marketing stakeholders to optimise spend and performance.
• Use AI tools to accelerate analysis, experimentation, and insight generation.

Skills

MMM

Incrementality

SQL

Python

Snowflake

dbt

Attribution

Experiment design

Causal inference

Privacy compliance

Communication

Tools

Snowflake

dbt

Job description

Join a growing digital marketplace at a pivotal stage of expansion. With marketing investment set to increase significantly, this role offers the opportunity to shape how marketing performance is measured, optimise budget allocation, and influence commercial growth through advanced analytics and experimentation.

The Company

They are a fast-growing online marketplace with a strong focus on sustainability, customer experience, and supporting independent partners. Operating within a modern, data-driven environment, they use analytics to inform key business decisions and drive long-term growth. The business offers genuine ownership, autonomy, and the chance to make a measurable impact.

The Role

• Own and enhance the Marketing Mix Model (MMM) to measure channel effectiveness and marginal returns.
• Design and evaluate incrementality tests, conversion lift studies, and geo experiments.
• Improve attribution and marketing measurement frameworks.
• Build and maintain Customer Lifetime Value (LTV) models to support acquisition strategy and budget decisions.
• Translate statistical analysis into clear commercial recommendations.
• Partner closely with marketing stakeholders to optimise spend and performance.
• Use AI tools to accelerate analysis, experimentation, and insight generation.

Your Skills & Experience

• Strong experience in marketing measurement, MMM, incrementality testing, or experimentation.
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design.
• Strong SQL skills with experience working in modern analytics environments.
• Experience with Python and tools such as Snowflake and dbt.
• Understanding of attribution, paid media measurement, and privacy-related challenges.
• Ability to communicate complex findings to non-technical stakeholders.

What They Offer

• Fully remote working within the UK.
• Annual bonus.
• 38 days holiday including bank holidays.
• Private healthcare and generous pension.
• Flexible working arrangements.
• Regular company meetups and employee discounts.
• High visibility and ownership within a growing data team.