Data Scientist - Marketing Effectiveness - £65k-£95k - MMM - AI

Job Description

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Data Scientist – Marketing Effectiveness – £60k–£95k – MMM – AIMMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid |Do you want to work with a business that is a global leader in Marketing Effectiveness and AI-powered solutions?A business that since 2006 has partnered with international brands across Auto, Beauty, Retail and Financial Services, delivering measurable, real-world impact from data?A genuine opportunity to lead high-impact MMM programmes, influence C-suite decision-making, and work alongside high performers across the globe?An opportunity to join a mission-driven AI and data science consultancy that excels at delivering AI impact at scale, while staying committed to responsible, sustainable and frugal AI.

They don’t just build models, they turn insights into action.You’ll work within projects from data strategy sqand collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets.You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools, and act as the day-to-day client contact, running workshops and senior-level presentations.They’re hiring multiple Data Scientists from mid-level to leadership in their Data Science team, creating clear progression, rapid growth, and genuine opportunities to step into leadership, contribute to thought leadership, and expand existing client accounts. xwzovoh The role offers £60k–£95k base, plus individual and company performance bonus, a hybrid working model (2 days in office), and exposure to global clients and projects across multiple industries.If it ticks those boxes, don't hang about
- apply or email me on MMM | Marketing Effectiveness | Data Science | Econometrics | Bayesian | Python | R | SQL | AI | Cloud | Databricks | Azure | London | Hybrid |