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Job Description

Data Scientist - Brand Uplift/Marketing

London – Hybrid

Up to £80,000

About the Role

We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights.

These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers.

Key Responsibilities

Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. Implement production-level coding practices, including unit testing and documentation. Communicate complex technical concepts to non-technical stakeholders.

What We’re Looking For

3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s .

Please note, this role cannot offer sponsorship.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.