Data Scientist / ML Engineer

JR United Kingdom; Basildon; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading data-driven digital agency is looking for a Data Scientist/ML Engineer to enhance their Marketing Sciences team. In this hybrid or remote role, you'll build predictive models that impact major brands' marketing strategies. Bring your experience in machine learning and a passion for data to drive business improvements and insights.

Qualifications

• Extensive experience building machine learning models for marketing use cases.
• Proficiency in Python, SQL, Bash, and Git.
• Solid understanding of experimentation methods including A/B testing.

Responsibilities

• Design and implement predictive models for marketing strategies.
• Guide a team of data scientists and mentor based on experience.
• Use analytics to improve client campaigns and marketing strategies.

Skills

Machine Learning

Communication

A/B Testing

NLP

Data Analysis

Predictive Analytics

Tools

Python

SQL

Git

Pandas

Jupyter

PyTorch

Job description

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Data Scientist/ ML Engineer – Data-Driven Digital Agency

Location: Hybrid (London) or UK Remote

Are you a Data Scientist or ML Engineer ready to make an impact across the full data science lifecycle? Do you thrive in fast-paced environments, enjoy wearing multiple hats, and take pride in turning ideas into production-ready solutions? Our client is a leading data-driven digital agency seeking a Data Scientist/ML Engineer to join their high-impact Marketing Sciences team. You will work on cutting-edge data science projects that directly influence campaign performance, customer engagement, and revenue growth for some of the world's biggest brands.

What You’ll Be Doing:

• Build & Optimize Models: Design and implement predictive models including causal AI campaign modeling, forecasting engines, pricing elasticity models, and recommender systems.
• Lead Projects & People: Guide a team of data scientists across multiple projects, with potential responsibilities for mentoring based on experience.
• Deliver Business Impact: Use predictive and prescriptive analytics to generate insights that lead to tangible improvements in client campaigns and marketing strategies.
• Prototype & Scale: Develop tools, frameworks, and self-service prototypes to demonstrate the agency’s capabilities.
• Client-Facing Communication: Present technical concepts clearly to both technical and non-technical stakeholders.
• Documentation & Collaboration: Work cross-functionally, ensuring processes are well-documented and scalable.

Must-Have Experience:

• Extensive experience building machine learning models for marketing use cases, with advanced skills in segmentation, recommendation, campaign optimization, forecasting, etc.
• Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch.
• Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision.
• Solid understanding of experimentation methods including A/B testing.
• Strong communication skills and the ability to translate complex analyses into actionable insights.

Nice-to-Haves:

• Familiarity with marketing-specific measurement models such as Media Mix Modeling (MMM).
• Knowledge of model versioning tools (e.g., MLFlow), API frameworks (e.g., FastAPI), or dashboard development (e.g., Dash or Streamlit).

The Opportunity: You’ll work across multiple industries and household-name brands, contributing to meaningful campaigns powered by cutting-edge AI and analytics. This role offers variety, high visibility, and the chance to influence data strategy at both technical and strategic levels.