

TechNET IT Recruitment Ltd
Senior Data Scientist – Marketing
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist – Marketing, with a contract until April 2026, offering an outside IR35 pay rate. Candidates must have 3+ years in marketing analytics within high-growth sectors, expertise in SQL and Python, and strong knowledge of the martech ecosystem.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
744
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🗓️ - Date
October 8, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Data Science #Data Engineering #Leadership #SQL (Structured Query Language) #Looker #Monitoring #Scala #Tableau #Python #ML (Machine Learning) #Customer Segmentation #Automation
Role description
Senior Data Scientist – Marketing
Outside IR35
Contract until the end of April 2026 initially - high possibility of extension
UK or USA
We are seeking an experienced Senior Marketing Data Scientist to play a pivotal role in shaping marketing attribution, measurement, and commercial insights across both upper and lower funnel marketing channels. You’ll work closely with distributed marketing and analytics teams to define best practices, frameworks, and scalable standards for how marketing impact is measured and understood across the organisation.
The ideal candidate will bring a strong background in marketing analytics within high-growth technology sectors such as dating, social, gaming, or other relevant consumer-facing platforms. You’ll have a proven track record of driving commercial outcomes by applying data science to real business problems, ensuring marketing efforts deliver measurable impact.
Key Accountabilities
• Provide thought leadership on the martech landscape, advising on best practices across data engineering, analytics, data science, and reporting.
• Create and embed frameworks for experimentation, performance monitoring, budget allocation, and reporting across marketing channels.
• Partner with marketing stakeholders to assess the effectiveness of campaigns, spend allocation, creative/content choices, and customer segmentation.
• Lead the development of scalable marketing data assets, ensuring consistency, real-time access, and alignment across the organisation.
• Optimise marketing reporting to establish single sources of truth, aligning stakeholders on definitions of metrics and performance dimensions.
• Act as a trusted analytical authority, fostering a culture of critical thinking, commercial acumen, and disciplined execution.
• Mentor and guide analysts, data engineers, and cross-functional teams, ensuring analytical rigour and consistent measurement approaches.
Required Experience & Skills
• Proven experience in high-data-volume industries (dating, social, gaming, fintech, etc.).
• Significant expertise in marketing analytics, including attribution, experimentation, and data collection best practices.
• Strong knowledge of the martech ecosystem, vendor landscape, and opportunities for automation/GenAI integration.
• Hands-on experience with SQL, Python, and visualisation tools such as Looker/Tableau.
• Solid grounding in marketing attribution, channel tracking, data engineering, and data modelling to enable automation and reporting.
• Experience working with complex data infrastructures and partnering closely with data engineering teams on ingestion, warehousing, and optimisation.
• 3+ years in marketing or commercial analytics, ideally with exposure to machine learning/data science applications in marketing.
Senior Data Scientist – Marketing
Outside IR35
Contract until the end of April 2026 initially - high possibility of extension
UK or USA
We are seeking an experienced Senior Marketing Data Scientist to play a pivotal role in shaping marketing attribution, measurement, and commercial insights across both upper and lower funnel marketing channels. You’ll work closely with distributed marketing and analytics teams to define best practices, frameworks, and scalable standards for how marketing impact is measured and understood across the organisation.
The ideal candidate will bring a strong background in marketing analytics within high-growth technology sectors such as dating, social, gaming, or other relevant consumer-facing platforms. You’ll have a proven track record of driving commercial outcomes by applying data science to real business problems, ensuring marketing efforts deliver measurable impact.
Key Accountabilities
• Provide thought leadership on the martech landscape, advising on best practices across data engineering, analytics, data science, and reporting.
• Create and embed frameworks for experimentation, performance monitoring, budget allocation, and reporting across marketing channels.
• Partner with marketing stakeholders to assess the effectiveness of campaigns, spend allocation, creative/content choices, and customer segmentation.
• Lead the development of scalable marketing data assets, ensuring consistency, real-time access, and alignment across the organisation.
• Optimise marketing reporting to establish single sources of truth, aligning stakeholders on definitions of metrics and performance dimensions.
• Act as a trusted analytical authority, fostering a culture of critical thinking, commercial acumen, and disciplined execution.
• Mentor and guide analysts, data engineers, and cross-functional teams, ensuring analytical rigour and consistent measurement approaches.
Required Experience & Skills
• Proven experience in high-data-volume industries (dating, social, gaming, fintech, etc.).
• Significant expertise in marketing analytics, including attribution, experimentation, and data collection best practices.
• Strong knowledge of the martech ecosystem, vendor landscape, and opportunities for automation/GenAI integration.
• Hands-on experience with SQL, Python, and visualisation tools such as Looker/Tableau.
• Solid grounding in marketing attribution, channel tracking, data engineering, and data modelling to enable automation and reporting.
• Experience working with complex data infrastructures and partnering closely with data engineering teams on ingestion, warehousing, and optimisation.
• 3+ years in marketing or commercial analytics, ideally with exposure to machine learning/data science applications in marketing.