Senior Data Scientist - (MMM)

Harnham; Greater London; Remote; GBP 81,000 - 99,000; Full time

Job summary

Harnham in the United Kingdom is seeking a Senior Data Scientist focused on Marketing Measurement & MMM. You will own MMM frameworks, deliver actionable budget recommendations, and lead experiments across paid channels.

You'll apply advanced statistical methods, design lift experiments, and collaborate with marketing and product teams to translate insights into commercial actions. Remote-first, UK-based flexibility and strong data culture.

Qualifications

• Strong commercial experience in Marketing Mix Modelling or marketing analytics.
• Deep understanding of statistics, hypothesis testing, regression and causal inference.
• Experience designing and evaluating marketing experiments and lift studies.
• Advanced SQL and hands-on Python (pandas, scikit-learn, statsmodels).
• Familiarity with Snowflake, dbt and cloud analytics environments.
• Understanding of digital advertising platforms and attribution challenges.
• Strong communication skills to influence senior stakeholders.
• Experience with AI-assisted analytical workflows is a plus.

Responsibilities

• Own and continuously improve MMM framework using tools like Meridian, Robyn or PyMC-Marketing.
• Deliver budget allocation recommendations via response curves and saturation modeling.
• Design, validate and analyse incrementality tests including geo experiments and holdouts.
• Measure and improve marketing effectiveness across paid channels (Google/Meta).
• Develop and maintain LTV models to support acquisition and retention decisions.
• Apply predictive and uplift modelling to optimise targeting and campaigns.
• Collaborate with marketing stakeholders to translate findings into recommendations.
• Champion robust experimentation standards and causal measurement methodologies.
• Leverage AI tools to accelerate analysis while maintaining rigor.

Skills

Marketing analytics

MMM (Marketing Mix Modelling)

Statistical analysis

Hypothesis testing

Regression techniques

Causal inference

Experiment design

Lift studies

SQL

Python

Pandas

scikit-learn

Statsmodels

Snowflake

dbt

Cloud analytics

Digital advertising platforms

Communication

Stakeholder influence

AI-assisted analytics

Tools

SQL

Python

Pandas

scikit-learn

statsmodels

Snowflake

dbt

Job description

Senior Data Scientist (Marketing Measurement & MMM)

UK Remote | Up to £90,000

If you're passionate about using advanced analytics to shape marketing investment decisions and want to work in an environment where data directly influences business strategy, this is an excellent opportunity. You'll own high-impact measurement initiatives, drive experimentation, and help establish best practices across a growing data function.

The Company

They are a fast-growing digital business operating within a consumer-focused marketplace, connecting customers with unique experiences through a highly engaged platform. With a strong data-driven culture and a commitment to innovation, they place analytics at the heart of commercial decision-making.

Their teams work collaboratively across marketing, product, and data, using modern technologies and advanced modelling techniques to solve complex business challenges. They offer a flexible, remote-first environment where autonomy and ownership are highly valued.

The Role

• Own and continuously improve the organisation's Marketing Mix Modelling (MMM) framework using tools such as Meridian, Robyn, or PyMC-Marketing
• Deliver actionable budget allocation recommendations through response curve analysis, saturation modelling, and marginal CAC insights
• Design, validate, and analyse incrementality tests including geo experiments, lift studies, holdouts, and causal impact analyses
• Measure and improve marketing effectiveness across paid media channels including Google and Meta
• Develop and maintain Lifetime Value (LTV) models to support acquisition, retention, and budget planning decisions
• Apply predictive modelling and uplift modelling techniques to optimise customer targeting and campaign performance
• Work closely with marketing stakeholders to translate statistical findings into clear commercial recommendations
• Champion robust experimentation standards and causal measurement methodologies across the business
• Leverage AI tools to accelerate analysis, experimentation design, and insight generation while maintaining analytical rigour

Your Skills & Experience

• Strong commercial experience in Marketing Mix Modelling, incrementality measurement, or marketing analytics
• Deep understanding of statistical analysis, hypothesis testing, regression techniques, confidence intervals, and causal inference
• Experience designing and evaluating marketing experiments and lift studies
• Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries
• Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital advertising platforms, attribution challenges, privacy changes, and value-based bidding approaches
• Strong communication skills with the ability to influence non-technical stakeholders and senior decision makers
• Experience working with AI-assisted analytical workflows and experimentation processes