Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Commercial Data Analyst / Scientist

Radley Green
London
3 days ago
Create job alert

Commercial Data Scientist – Finance Business Partnering


📍 Hybrid (London-based)


We’re on the lookout for a Commercial Data Scientist to join a global media business with a household name – the kind of brand you’ve definitely come across, whether in print, digital, or culture at large. This is a chance to combine your love of data with the excitement of working for a truly international organisation where no two days are the same.

This isn’t a back-office number-crunching role. You’ll be at the heart of commercial decision-making, turning data into insights that shape strategy, drive growth, and uncover new opportunities across multiple markets.


What you’ll be doing:


  • Collecting, analysing, and interpreting data to guide business leaders.
  • Designing BI dashboards and automated reports that cut through the noise.
  • Partnering with stakeholders across global offices to spot trends, opportunities, and risks.
  • Using SQL, Python, and BI tools (Domo, Tableau, PowerBI) to turn raw data into actionable insights.
  • Supporting forecasting, budgeting, and strategic planning.
  • Helping shape a data-led culture across the business.


What we’re looking for:


  • Strong stakeholder management and communication skills – you can translate complex data into clear, actionable stories.
  • Hands-on experience with SQL, Python, and BI tools (Domo, Tableau, PowerBI).
  • Commercial acumen and the ability to influence decisions with data.
  • International experience, ideally within Digital, Tech, Retail, or FMCG.
  • A proactive self-starter who enjoys taking ownership.


Nice to have:


  • Experience with digital or social media data.
  • APIs, Salesforce (Sales/Marketing Cloud), Google Analytics.
  • Experience with BI tool migration or implementation.


Why you’ll enjoy it here:


  • Be part of an exciting, globally recognised media brand where your work directly impacts commercial strategy.
  • Hybrid working – a healthy balance of office collaboration and home focus time.
  • A role with genuine variety – from forecasting to machine learning models, your work will keep evolving.
  • A collaborative culture where curiosity, creativity, and fun aren’t just encouraged – they’re essential.


If you’re passionate about data and want to make your mark at one of the world’s most exciting media businesses, we’d love to hear from you.


👉 Apply today and start working to help this business turn insights into impact.

Related Jobs

View all jobs

Commercial Data Analyst / Scientist

Data Analyst, Power BI, Business Data, Wealth Management firm

Data Analyst, Power BI, Business Data, Wealth Management firm

Junior Data Engineer

Data Engineer (Multiple Roles) - AI SaaS

Lead Data Scientist

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.