Data Scientist – AI Marketing

JR United Kingdom; Basildon; On-site; GBP 45,000 - 70,000; Full time

Job summary

A fast-growing digital marketing group seeks an experienced Data Scientist to lead AI solution design and deployment. You will identify AI opportunities and integrate advanced solutions into marketing, content, and eCommerce, ensuring impactful automation and performance improvements.

Qualifications

• Proven experience in AI/ML implementation within marketing or eCommerce.
• Experience deploying AI models on cloud platforms.

Responsibilities

• Identify AI opportunities in marketing and eCommerce.
• Develop and implement AI models to enhance automation and performance.
• Collaborate with teams to integrate AI solutions.

Skills

Python

AI implementation

Machine Learning

Collaboration

Strategic mindset

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

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.