Data Scientist/ ML Engineer

JR United Kingdom; Birmingham; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading data-driven digital agency is seeking a Data Scientist / ML Engineer to join their high-impact Marketing Sciences team. This role involves building and optimizing predictive models and influencing marketing strategies across major brands while working closely with technical and non-technical stakeholders. There is a blend of technical and strategic responsibilities, with opportunities for professional growth.

Qualifications

• Extensive experience building machine learning models for marketing.
• Strong communication skills to translate complex analyses into actionable insights.

Responsibilities

• Design and implement predictive models for campaign optimization.
• Guide a team of data scientists across various projects.
• Use analytics to generate insights that improve client campaigns.

Skills

Machine Learning

Python

SQL

Bash

Git

CausalAI

NLP

RNNs

GraphAI

GenAI

Computer Vision

A/B Testing

Communication

Tools

Pandas

Jupyter

PyTorch

MLFlow

FastAPI

Dash

Streamlit

Job description

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, a leading data-driven digital agency, is looking for 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 major brands.

What You’ll Be Doing:

• Build & Optimise Models: Design and implement predictive models such as causal AI campaign modelling, forecasting engines, pricing elasticity models, and recommender systems.
• Lead Projects & People: Guide a team of data scientists across various projects, including mentoring depending on experience.
• Deliver Business Impact: Use analytics to generate insights that improve client campaigns and marketing strategies.
• Prototype & Scale: Develop tools, frameworks, and prototypes to demonstrate the agency’s capabilities.
• Client-Facing Influence: Present technical concepts clearly to both technical and non-technical stakeholders.
• Document & Collaborate: Work cross-functionally, documenting processes for scalability.

Must-Have Experience:

• Extensive experience building machine learning models for marketing, including segmentation, recommendation, campaign optimisation, and forecasting.
• Proficiency in Python, SQL, Bash, and Git, with familiarity with Pandas, Jupyter, and PyTorch.
• Experience with advanced techniques such as CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision.
• Understanding of experimentation methods like A/B testing.
• Strong communication skills to translate complex analyses into actionable insights.

Nice-to-Haves:

• Knowledge of marketing measurement models like Media Mix Modelling (MMM).
• Familiarity with model versioning tools (MLFlow), API frameworks (FastAPI), or dashboard tools (Dash, Streamlit).

The Opportunity: You will work with multiple industries and well-known brands, contributing to impactful campaigns powered by AI and analytics. This role offers variety, visibility, and a chance to shape data strategy both technically and strategically.