Data Scientist/ ML Engineer

JR United Kingdom; Preston; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading data-driven digital agency is seeking a Data Scientist/ML Engineer to join their Marketing Sciences team in Preston. In this role, you will have the opportunity to work on impactful data science projects that influence major brands’ campaign performances and drive revenue growth. Your expertise in building and optimizing models, along with strong communication skills, will enable you to lead projects and enhance marketing strategies across various industries.

Qualifications

• Extensive experience building ML models for marketing, including segmentation and campaign optimization.
• Proficiency in Python, SQL, and Git; familiarity with data tools like Pandas and Jupyter.
• Strong communication skills for translating analyses into insights.

Responsibilities

• Design and implement predictive models including causal AI and recommendation systems.
• Lead a team of data scientists across multiple projects, mentoring as appropriate.
• Use analytics to improve client campaigns and marketing strategies.

Skills

Machine Learning

Data Analysis

Communication

Tools

Python

SQL

Git

Pandas

Jupyter

PyTorch

Job description

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Data Scientist / ML Engineer, Preston, Lancashire

Client: Xcede

Location: Preston, Lancashire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

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? My client is a leading data-driven digital agency, looking for a Data Scientist/ML Engineer to join their high-impact Marketing Sciences team. You'll 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 & Optimize 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, including mentoring as appropriate.
• Deliver Business Impact: Use analytics to generate insights that improve client campaigns and marketing strategies.
• Prototype & Scale: Develop tools, frameworks, and prototypes to showcase capabilities.
• Client-Facing Influence: Present technical concepts clearly to diverse stakeholders.
• Document & Collaborate: Work cross-functionally with scalable processes.

Must-Have Experience:

• Extensive experience building ML models for marketing, including segmentation, recommendation, campaign optimization, forecasting, etc.
• Proficiency in Python, SQL, Bash, Git; familiarity with Pandas, Jupyter, PyTorch.
• Experience with advanced techniques like CausalAI, NLP, RNNs, GraphAI, GenAI, Computer Vision.
• Understanding of experimentation methods like A/B testing.
• Strong communication skills for translating analyses into insights.

Nice-to-Haves:

• Knowledge of marketing measurement models such as Media Mix Modelling (MMM).
• Experience with MLFlow, FastAPI, dashboards (Dash/Streamlit).

The Opportunity:

Work across industries and brands, contributing to impactful campaigns powered by AI and analytics. Offers variety, visibility, and strategic influence in data initiatives.