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

Nominate & Attend

Product Owner - Data Platforms London £600/day Inside IR35

City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Product Owner

Product Owner - Agile, SaaS, Permanent

Product Manager - AI and Data Science

MarTech Senior Manager

ERP Project Manager - Sage Intacct

Hardware Verification Engineer

Data Platforms Product Owner | Technical Data Background | Banking / Cards / Insurance | London (hybrid) | £600/day (Inside IR35) | 6 month initial contract

Our London based Financial Services client is looking for a Technical Data Platforms Product Owner to work on a large project. You'll have a solid data / tech background, preferably in Financial Services. You'll have the ability to write the User Stories for the Data Engineers and tell the Architect what you need in the Data Model - and you'll define the data platforms roadmap. You will also have good experience around ADF, Azure DataBricks, and Snowflake - plus your knowledge will include ETL processes, Data Governance, Data Warehouses, Data Marts, and Data Lakes.

Key Skills & Experience:

Product Owner
Data Platforms Roadmap
User Stories
Snowflake
Azure Data Factory / Azure Data Bricks
Data Models
Great Communication skills

This role would be based in the City of London on a hybrid 50% home and 50% office based.

Initial contract is 6 months

£600 Inside IR35 - so you will be working via an umbrella company

If this sounds of interest, please do send me your CV to start a conversation around this.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

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.