Senior Data Scientist - MMM & LTV

Clearly Jobs Ltd.; Greater London; Remote; GBP 81,000 - 99,000; Full time

Benefits offered by this job

Fully remote within the UK

Job summary

Clearly Jobs Ltd. is seeking a Senior Data Scientist to own marketing analytics, build MMM and LTV models, and run experiments that shape budget and growth in a data-driven business.

You will collaborate with Performance Marketing to evaluate channel performance, deploy predictive models using Python and SQL, and translate insights into actionable recommendations while scaling investment across UK channels.

Qualifications

• Strong commercial experience in Marketing Mix Modelling (MMM).
• Experience measuring incrementality and designing marketing experiments.
• Expertise in customer lifetime value (LTV) modelling.
• Strong understanding of marketing performance, attribution and channel effectiveness.
• Advanced SQL and Python skills.
• Experience working with Snowflake and dbt.
• Strong statistical and causal inference knowledge.
• Ability to communicate complex analytical findings to non-technical stakeholders.
• Experience partnering closely with performance marketing teams.

Responsibilities

• Own and develop the Marketing Mix Modelling (MMM) framework to guide marketing investment decisions
• Analyse channel effectiveness and identify diminishing returns across paid media channels
• Build and maintain Lifetime Value (LTV) models that support acquisition and budgeting decisions
• Measure marketing incrementality through experimentation, lift studies, geo-testing and causal inference techniques
• Translate modelling outputs into clear budget recommendations and commercial actions
• Partner with marketing stakeholders to optimise customer acquisition performance as marketing investment scales
• Develop predictive models and advanced analytics solutions using Python and SQL
• Leverage AI tools to accelerate coding, experimentation and analytical workflows
• Drive best practice across marketing measurement, attribution and performance analytics

Skills

MMM

Incrementality

LTV modelling

Attribution

SQL

Python

Snowflake

dbt

Statistics

Causal inference

Stakeholder comms

Job description

This is an opportunity to take ownership of some of the most commercially important marketing measurement challenges in a growing, data-driven business. You will shape how marketing investment is allocated, influence acquisition strategy, and build the models that drive long-term growth.

The Company

They are a digital business investing heavily in customer acquisition and marketing analytics. With ambitious growth plans and a commitment to data-led decision making, they are looking to significantly increase marketing spend while ensuring every investment is measurable and effective. Their analytics and data science function plays a role in strategic decision making, partnering closely with marketing leadership to optimise performance and identify scalable growth opportunities. The business embraces modern technologies and AI-enabled ways of working to maximise impact across the organisation.

The Role

As a Senior Data Scientist, you will work closely with the Head of Performance Marketing to evaluate marketing effectiveness, improve acquisition efficiency, and support significant budget growth. Key responsibilities include:

• Own and develop the Marketing Mix Modelling (MMM) framework to guide marketing investment decisions
• Analyse channel effectiveness and identify diminishing returns across paid media channels
• Build and maintain Lifetime Value (LTV) models that support acquisition and budgeting decisions
• Measure marketing incrementality through experimentation, lift studies, geo-testing and causal inference techniques
• Translate modelling outputs into clear budget recommendations and commercial actions
• Partner with marketing stakeholders to optimise customer acquisition performance as marketing investment scales
• Develop predictive models and advanced analytics solutions using Python and SQL
• Leverage AI tools to accelerate coding, experimentation and analytical workflows
• Drive best practice across marketing measurement, attribution and performance analytics

Your Skills & Experience

• Strong commercial experience in Marketing Mix Modelling (MMM)
• Experience measuring incrementality and designing marketing experiments
• Expertise in customer lifetime value (LTV) modelling
• Strong understanding of marketing performance, attribution and channel effectiveness
• Advanced SQL and Python skills
• Experience working with Snowflake and dbt
• Strong statistical and causal inference knowledge
• Ability to communicate complex analytical findings to non-technical stakeholders
• Experience partnering closely with performance marketing teams

What They Offer

• Salary up to £90,000
• Fully remote working within the UK