Data Science Engineer Global Digital Media/Martech

Job Description

We're looking for a Data Science Engineer to join a high-performing data team within one of the world's most recognised digital technology companies. This is a true hybrid role combining Data Science and Data Engineering, working on data-driven models that directly influence sales strategy, customer segmentation, and revenue growth.

Data Science Engineer (Data Science + Data Engineering)

£500/day | Initial 3-month contract (likely extension)London or Reading | Hybrid (2 days onsite)

You'll collaborate with senior stakeholders to explore complex datasets, engineer features, and develop predictive models that identify growth opportunities and improve customer engagement strategies.

Key Responsibilities

• Develop and maintain revenue opportunity (rSAM) models to identify growth opportunities across the customer base.
• Build and deploy predictive models including propensity models, customer segmentation, forecasting, and customer lifetime value modelling.
• Conduct business analysis to identify performance gaps and recommend improvements.
• Deliver customer and channel segmentation to optimise engagement strategies and sales campaigns.
• Partner with data engineering teams to productionise models and build scalable data pipelines.
• Automate model refreshes and account prioritisation processes.
• Present insights and model outputs clearly to senior stakeholders and business teams.

Key Skills & Experience

• Strong SQL expertise (5+ years) working with large and complex datasets.
• Experience building and deploying revenue-generating data science models.
• Experience with Python and modern data platforms such as Databricks.
• Knowledge of predictive modelling techniques, including propensity modelling, clustering, survival analysis, and forecasting.
• Experience translating complex analytics into clear business insights for senior stakeholders.
• Strong problem-solving ability in fast-paced, data-driven environments.

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