Data Scientist (Marketing)

TL;DR

Data Scientist (Marketing): Developing predictive models and rapid prototypes to support marketing growth decisions with an accent on incrementality testing, causal inference, and automation. Focus on building lightweight analytical tools to enable fast experimentation and operationalizing insights within critical opportunity windows.

Location: Hybrid role based in London or Leeds, UK

Company

hirify.global is a global sports streaming platform operating at the intersection of live sport, technology, and data to deliver premium content across multiple markets.

What you will do

• Develop predictive, forecasting, and optimization models to drive marketing and growth strategies.
• Build rapid prototypes and analytical products that facilitate "fail fast" experimentation.
• Design and analyze incrementality tests and causal inference experiments.
• Support the evolution of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) through scenario analysis.
• Identify and automate opportunities to improve decision-making speed and data quality.
• Translate advanced modeling outputs into practical decision-making tools for stakeholders.

Requirements

• Strong experience in data science specifically applied to marketing or growth problems.
• Advanced proficiency in Python or R.
• Solid understanding of SQL and cloud data platforms such as Snowflake or BigQuery.
• Proven ability to define problems and move to working solutions rapidly.
• Strong communication skills to explain complex modeling concepts to non-technical stakeholders.
• Commercial mindset with a focus on business impact over theoretical perfection.

Culture & Benefits

• Competitive salary with annual leave increasing to 28 days after 3 years.
• Private medical insurance and life assurance.
• Pension contributions up to 5%.
• Family-friendly policies including enhanced parental leave.
• Opportunities for flexible working arrangements.
• Access to internal speaker series, events, and learning development resources.