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Product Data Scientist

Harnham
Birmingham
9 months ago
Applications closed

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Product Data Scientist (Martech)

£70,000

Manchester, Birmingham, Leeds and Newcastle (Hybrid)

This is a great opportunity to join a growing, innovative and product-led B-Corp that are looking to scale what their doing from a Data Science and Marketing perspective.

The Company

As a growing B-Corp that is looking to disrupt the telecommunications industry, this company are making strides with their growth plans, and they are looking to scale what they can do from a Data Science perspective. The team have got investment to unlock data for digital marketing and therefore will be supporting the Head of Digital Media.

The Role

As a Product Data Scientist, you will be:

  • Designing and implementing segmentation models and propensity models to create actionable customer groups for targeted marketing strategies.
  • Build and optimise value-based bidding (VBB) models and first-party enrichments to maximise ROAS and relevant business growth metrics.
  • Develop and refine attribution models (e.g., multi-touch. data-driven attribution) to measure and improve the effectiveness of digital marketing campaigns.
  • Analyse and interpret marking data from various sources.

Skills & Experience

  • Strong foundations in Data Science skills, with impact in the digital marketing domain.
  • Proficiency in statistical modelling and machine learning techniques for attribution, segmentation, and predictive modelling.
  • Strong proficiency in SQL for creating modelling datasets.
  • Experience with experimentation methodologies, including campaign A/B testing, with a deep understanding of hypothesis testing and causal inference to inform strategic decisions.
  • Experience of applying marketing mix modelling to inform future digital marketing strategies.

Whats on Offer

  • Salary up to £70,000
  • Competitive benefits
  • Flexible and remote working options

How to Apply

Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.

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