Data Scientist – AI Marketing

JR United Kingdom; North East; On-site; GBP 40,000 - 70,000; Full time

Job summary

A fast-growing digital marketing group seeks an experienced Data Scientist specializing in AI for Marketing. You'll lead the design and deployment of AI solutions while collaborating with various teams. Ideal candidates will have a strong background in AI/ML with expertise in Python and cloud platforms.

Qualifications

• Proven experience in AI/ML, especially in marketing or eCommerce.
• Proficiency with Python and AI/ML libraries.
• Experience deploying AI models on cloud platforms.

Responsibilities

• Identify and scope AI opportunities in marketing and eCommerce.
• Develop and implement AI models to enhance automation.
• Collaborate with teams to integrate AI into workflows.

Skills

AI/ML implementation

Python

AI/ML libraries

Cloud platforms

Job description

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Job Title: Data Scientist – AI Marketing

Type: Full-Time

About

Our client are a fast-growing, forward-thinking digital marketing and eCommerce group. With a strong foundation in affiliate marketing, influencer engagement, and creative commerce solutions, they partner with some of the UK’s most recognisable brands to deliver measurable growth and digital innovation.

The Role

They’re looking for an experienced Data Scientist to lead the design, development, and deployment of AI-powered solutions across business units.

Key Responsibilities

• Identify and scope AI opportunities across marketing, content, and eCommerce operations.
• Develop and implement AI models and tools to enhance automation, personalisation, and performance.
• Collaborate with cross-functional teams to integrate AI into existing workflows and platforms.
• Stay ahead of AI trends and translate emerging technologies into practical applications.
• Build internal capabilities and frameworks for scalable AI adoption.

What We’re Looking For

• Proven experience in AI/ML implementation, ideally within marketing, media, or eCommerce.
• Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, GCP, or Azure) and deploying AI models in production.
• A strategic mindset with the ability to balance innovation with business impact.