Data Scientist – AI Marketing

JR United Kingdom; Reading; On-site; GBP 45,000 - 75,000; Full time

Job summary

A fast-growing digital marketing company seeks a Data Scientist specializing in AI and marketing. You will lead AI project development, identifying opportunities and implementing solutions to enhance automation and personalization across marketing and eCommerce operations.

Qualifications

• Proven experience in AI/ML implementation, ideally in marketing or eCommerce.
• Familiarity with cloud platforms and deployment of AI models.

Responsibilities

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

Skills

AI/ML implementation

Proficiency in Python

Cloud platforms (AWS, GCP, Azure)

Strategic mindset

Tools

TensorFlow

PyTorch

scikit-learn

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.