Data Scientist/ ML Engineer

JR United Kingdom; Bristol; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

Join a dynamic Data-Driven Digital Agency as a Data Scientist/ML Engineer, where you'll leverage your machine learning expertise to deliver impactful solutions for top global brands. Work on innovative projects across industries, leading data initiatives that enhance campaign performance and drive revenue growth.

Qualifications

• Extensive experience building machine learning models for marketing.
• Proficiency in Python, SQL, and Git.
• Strong communication skills to translate analyses into insights.

Responsibilities

• Design and implement predictive models and causal AI.
• Guide a team of data scientists on various projects.
• Use analytics to improve client marketing strategies.

Skills

Machine learning

Segmentation

Recommendation

Campaign optimization

Forecasting

Communication

Tools

Python

SQL

Bash

Git

Pandas

Jupyter notebooks

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, potentially including 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 dashboard building (e.g., Dash or Streamlit).

The Opportunity:

You’ll work across multiple industries and household-name brands, contributing to impactful campaigns powered by AI and analytics. This role offers variety, high visibility, and the chance to shape data strategy both technically and strategically.