Data Scientist / ML Engineer

JR United Kingdom; Oxford; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading data-driven digital agency seeks a Data Scientist/ML Engineer to make an impact across the data science lifecycle. You will lead projects, build advanced models, and collaborate with clients to drive performance for major brands. This hybrid role offers a chance to influence data strategy at a technical and strategic level.

Qualifications

• Extensive experience in building ML models for marketing use cases.
• Proficient in Python, SQL, Bash, and Git.
• Strong communication skills to convey complex analysis.

Responsibilities

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

Skills

Machine Learning

Data Analysis

Python

SQL

Bash

Git

NLP

CausalAI

A/B Testing

Tools

Pandas

Jupyter Notebooks

PyTorch

MLFlow

FastAPI

Dash

Streamlit

Job description

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Data Scientist / ML Engineer, oxford district

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Client:

Xcede

Location:

oxford district, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

04.06.2025

Expiry Date:

19.07.2025

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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, 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.