Data Scientist/ ML Engineer

JR United Kingdom; Worcester; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading data-driven digital agency seeks a Data Scientist/ML Engineer to impact marketing strategies through advanced machine learning projects. This hybrid role involves building predictive models, leading teams, and driving analytics strategies for major brands. Ideal candidates will thrive in fast-paced environments and possess strong communication skills.

Qualifications

• Extensive experience building machine learning models for marketing use cases.
• Strong communication skills and ability to translate analyses into insights.
• Solid understanding of experimentation methods, including A/B testing.

Responsibilities

• Design and implement predictive models for marketing.
• Guide a team of data scientists across various projects.
• Present technical concepts to stakeholders.

Skills

Machine Learning

Python

SQL

Bash

Git

Communication

Tools

Pandas

Jupyter notebooks

PyTorch

MLFlow

FastAPI

Dash

Streamlit

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 & Optimise 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, potentially upskilling team members based on experience.
• Deliver Real 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 showcase the agency’s capabilities.
• Client-Facing Influence: Present technical concepts clearly to both technical and non-technical stakeholders.
• Document & Collaborate: Work cross-functionally, ensuring processes are 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 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 (e.g., MLFlow), API frameworks (FastAPI), or building dashboards (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 opportunity to shape data strategy at both a technical and strategic level.