National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist / ML Engineer

Xcede
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Senior Data Scientist

Staff Data Scientist

Senior Data Scientist - Payments

Contract Data Scientist - Customer Analytics - Outside IR35 Manchester

Contract Data Scientist – Customer Analytics – Outside IR35 | Manchester

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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.