Data Scientist / ML Engineer

ZipRecruiter; London; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

Join a leading data-driven digital agency as a Data Scientist/ML Engineer, where you'll impact high-profile marketing campaigns through advanced analytics and machine learning. Work in a hybrid setting to develop innovative solutions, guide a talented team, and engage with exciting brands while shaping data strategy across industries.

Qualifications

• Extensive experience building machine learning models for marketing use cases.
• Advanced skills in segmentation, recommendation, and forecasting.
• Solid understanding of A/B testing methods.

Responsibilities

• Build and optimise predictive models including causal AI and recommender systems.
• Guide a team of data scientists across multiple projects.
• Deliver insights that improve client campaigns.

Skills

Machine Learning

Predictive Analytics

Python

SQL

Bash

Communication

Tools

Pandas

Jupyter Notebooks

PyTorch

MLFlow

FastAPI

Dash

Streamlit

Job description

Job DescriptionData 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? My client is a leading data-driven digital agency, we are looking for a Data Scientist/ ML Engineer to join their high-impact Marketing Sciences team. You'll be working on cutting-edge data science projects that directly drive 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 modelling, forecasting engines, pricing elasticity models, and recommender systems.
• Lead Projects & People: Guide a team of data scientists across multiple projects. Depending on experience, this may include upskilling those around you.
• Deliver Real Business Impact: Use predictive and prescriptive analytics to generate insights that translate into tangible improvements for client campaigns and marketing strategy.
• Prototype & Scale: Develop tools, frameworks, and self-service prototypes that showcase the agency’s capabilities.
• Client-Facing Influence: Present technical concepts clearly to both technical and non-technical stakeholders.
• Document & Collaborate: Work cross-functionally and ensure processes are documented and scalable.

Must-Have Experience:

• Extensive experience building machine learning models for marketing use cases ADVANCED skills in segmentation, recommendation, campaign optimisation, 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 Modelling (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.