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

Apply Now

Senior Data Scientist - Marketing Data

Canva
City of London
3 days ago
Create job alert
Overview

Join the team redefining how the world experiences design at Canva. This role sits within the Marketing Data Team and focuses on helping Europe Marketing define and refine global growth and marketing strategies with strong emphasis on marketing measurement in emerging international markets.

Where and How You Can Work

The Canva London campus is located around Hoxton Square in Shoreditch. Canva’s global headquarters are in Sydney, with London serving as Europe HQ. You will have flexible work options to balance collaboration and solo work as appropriate.

What You’d Be Doing In This Role

As Canva scales, change is part of the DNA. This section describes the kind of work you’ll start with, noting that it will evolve over time.

At The Moment, This Role Is Focused On
  • Acting as a strategic partner to Europe Marketing teams, helping to define and refine global growth and marketing strategies. A key focus will be bringing marketing measurement in emerging international markets to the same standards as more established ones.
  • Developing innovative frameworks for marketing measurement, including attribution methodologies, marketing mix modeling (MMM), and incrementality testing, to assess the impact of our marketing investment across diverse regions.
  • Working closely with collaborators throughout Canva to develop insightful analysis and recommendations. You won’t be given directives; instead, you will spot opportunities and take the initiative to bring others together around effective solutions.
  • Serving as a thought leader in data strategy, aligning teams around key insights and acting as a driver of data literacy and analytics best practices.
  • Collaborating with senior leadership and taking initiative to keep things moving—identifying opportunities where data can make the largest impact and driving outcomes.
  • Reporting on the performance of marketing metrics at both campaign or channel level and at a holistic level. Building and maintaining dashboards for international marketing teams; you don’t need to be a designer—just a passion for building impactful visibility.
You're Probably A Match If
  • Your communication skills are your superpower. You excel at creating alignment, asking the right questions, and rallying stakeholders around actionable solutions.
  • You are excited to support international markets, partnering with teams in Europe with flexibility for cross‑market collaboration.
  • You have deep knowledge of marketing measurement, including attribution, MMM, incrementality testing, and evaluating marketing efficiency.
  • You can understand marketing efficiency and build dashboards that effectively communicate results and outcomes.
  • You have competency with SQL; experience with data warehouses such as Snowflake, Redshift, or BigQuery is a plus.
  • You can wrangle and analyze data using Python or R.
  • You have experience working with international teams and understand cross‑cultural collaboration.
  • You thrive in a fast‑paced environment and have a track record of owning high‑impact projects and delivering results.
About The Team

This role is part of the Marketing Data Team, a group of Researchers, Analytic Engineers and Data Scientists who deliver high‑quality insights into markets, competitors, marketing and users to guide decisions.

What’s In It For You?

We pursue bold goals and offer moments of magic, connectivity and fun at Canva. A range of benefits is provided to support success inside and outside of work.

Here’s a Taste Of What’s On Offer
  • Equity packages - we want our success to be yours too
  • Inclusive parental leave policy that supports all parents and carers
  • An annual Vibe & Thrive allowance to support wellbeing, social connection, and office setup
  • Flexible leave options to recharge and support you personally

Check lifeatcanva.com for more info.

Other Stuff To Know

We hire based on experience, skills and passion, plus how you can contribute to Canva and our culture. When you apply, please tell us your pronouns and any reasonable adjustments you may need. We celebrate diverse backgrounds and encourage you to apply even if your skills don’t match exactly. Interviews are conducted virtually.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior 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.