Marketing Data Scientist

Marketing Data Scientist – Machine Learning & Marketing Science

Salary: £55,000 – £65,000

Location: London (Hybrid) or Remote (must be UK based)

We're working with a specialist data consultancy that's looking to hire a Data Scientist to join its growing team.

The business partners with consumer-facing companies across sectors including e-commerce and travel, helping them use data science to solve commercial challenges and make better decisions.

They're looking for someone with around 1–3 years' experience who enjoys building machine learning models, working with complex datasets and translating technical work into meaningful business outcomes.

This is a opportunity for someone who wants to combine data science with exposure to marketing science, paid-media measurement and experimentation.

Responsibilities

➤ Apply machine learning and statistical modelling techniques to solve commercial and analytical problems.

➤ Work with complex datasets to identify patterns, build predictive models and generate actionable insights.

➤ Support marketing science projects involving areas such as attribution, customer behavior, performance measurement and experimentation.

➤ Work closely with client stakeholders to understand business challenges and translate them into analytical approaches.

➤ Communicate technical findings clearly, helping non-technical stakeholders understand the implications and opportunities.

➤ Take ownership of analytical work, managing priorities, identifying data-quality issues and delivering clear recommendations.

Requirements

➤ Ideally 1–3 years' experience in Data Science, Marketing Analytics or a closely related analytical role.

➤ Strong Python skills and practical experience developing machine learning or predictive models.

➤ Good SQL skills and confidence working with complex datasets.

➤ Understanding of statistical modelling, model evaluation and analytical problem-solving.

➤ Ability to explain technical concepts and demonstrate how your work has influenced business decisions.

➤ Comfortable working independently, solving ambiguous problems and engaging with stakeholders.

Nice to Have

➤ Experience in marketing analytics, marketing science or paid-media measurement.

➤ Knowledge of attribution, customer lifetime value, churn, propensity or forecasting models.

➤ Experience with A/B testing, incrementality testing or causal inference.

➤ Familiarity with GCP or similar cloud data environments.

➤ Experience working within an in-house data science or analytics team.

Unfortunately this role can't offer visa sponsorship and all applicants must be based in the UK to be considered.