Data Scientist, International in London

Data Scientist, International in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Drive data analysis to uncover growth opportunities and support strategic decisions.
  • Company: Join Whatnot, a dynamic marketplace with a focus on innovation and collaboration.
  • Benefits: Enjoy flexible time off, health insurance, and a supportive work-from-home setup.
  • Other info: Work in a multicultural environment and enjoy excellent career growth opportunities.
  • Why this job: Make a real impact by using data to drive business clarity in diverse markets.
  • Qualifications: 5+ years in data analytics with strong SQL and BI tool expertise.

The predicted salary is between 60000 - 80000 £ per year.

Role Data Scientists at Whatnot bring technical expertise, analytical mindset and strong communication skills to solve problems and identify opportunities critical to the growth of Whatnot. You will:

  • Drive end-to-end analysis of revenue and category performance in our non-US markets, highlighting macro shifts and local nuances.
  • Identify and drive deep understanding of growth levers, risk vectors, and user behavior.
  • Support strategic decision-making by creating forward-looking insights — identifying leading indicators, pressure-testing assumptions, and surfacing risks before they materialize.
  • Translate ambiguous business questions into structured analyses that help teams understand the “what” and the “why” behind performance shifts.
  • Build descriptive reporting and insight tools that reflect both country performance and category specifics, including differences in customer behavior, currency, seasonality, and GTM structure.
  • Create regional forecasts and directional models that support headcount planning, sales targeting, and business growth decisions.
  • Incorporate data from CX, Logistics, Finance, and other teams to guide growth opportunities.
  • Become a trusted partner to Sales, Marketing, Account Management, and Category leaders, helping them make smarter, faster decisions based on data.
  • Build dashboards and automated reporting to support weekly and monthly business reviews, while driving clarity on KPIs that actually reflect performance.

Team members in this role are required to be within commuting distance of our London, UK hub.

About You

We’re looking for an experienced, globally-minded Data Scientist who knows how to use analytics to drive business clarity, especially in fast-growing, multi-market environments. You understand that what works in one country may not work in another, and you bring curiosity and rigor to helping the business navigate that complexity. You understand the whole business thinking about how to grow revenue and categories but also the product and commerce implications that impact different markets. You thrive in cross-functional, multicultural environments and enjoy tackling open-ended problems with structured thinking and sharp analysis. You love building tools that help people take action, not just crunching numbers in isolation. Your work influences how we scale, where we grow, and how we define success in diverse markets.

In addition to 5+ years of experience in the Data Analytics field, you should have:

  • Experience supporting go-to-market, sales and marketing where understanding trends, connecting dots and forecasting were central to decision-making.
  • Familiarity with local market behaviours, such as differences in payment systems, buyer behaviour, or GTM approach by geography.
  • A track record of supporting localized growth efforts in emerging markets, cross-border commerce, or international product launches.
  • Previous experience working with marketplaces, ecommerce, mobile gaming, or social media.
  • Expertise in SQL and scripting languages for data analysis, reporting, and dashboarding.
  • Proficiency with visualization and BI tools (Looker, Tableau, Mode, etc.), not just for reporting, but for building tools others can use reliably.
  • You communicate clearly and influence without needing authority – business partners value your judgment and seek out your input.
  • You prioritize speed, clarity, and utility – building tools and insights that the business actually uses, not scientific models that sit on a shelf.
  • Strong business judgment and a knack for identifying the signal in noisy data with context of the overall business implications.
  • Excellent verbal communication and presentation skills to stakeholders, leadership, and investors.
  • Experience working in an environment where you have to balance rigor and speed, knowing when to push for perfection vs. ship and iterate.
  • Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT.

Benefits

  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
  • Home office setup allowance
  • Monthly allowance for cell phone and internet
  • Care benefits
  • Monthly allowance for wellness
  • Annual allowance towards Childcare
  • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Pension plan
  • Monthly allowance to dogfood the app

All Whatnauts are expected to develop a deep understanding of our product. We’re passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).

Parental Leave

16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Data Scientist, International in London employer: I did my part and supported the Regular Toilet

Whatnot is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for Data Scientists in our London hub. With a strong emphasis on employee growth, we offer flexible time off, comprehensive health benefits, and unique perks like a dogfooding budget to enhance your understanding of our product. Join us to leverage your analytical skills in a fast-paced, multicultural environment where your insights directly influence strategic decisions and business growth across diverse markets.

I did my part and supported the Regular Toilet

Contact Details:

I did my part and supported the Regular Toilet Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist, International in London

Tip Number 1

Network like a pro! Reach out to current employees at Whatnot on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This can give you insider knowledge and make you stand out.

Tip Number 2

Prepare for your interviews by brushing up on your SQL and data visualisation skills. Be ready to showcase how you've used these tools in past roles to drive business decisions. We want to see your analytical mindset in action!

Tip Number 3

Practice articulating your thought process. When tackling complex problems, explain how you break them down into manageable parts. This will show your structured thinking and help interviewers understand your approach to data analysis.

Tip Number 4

Don’t forget to demonstrate your curiosity about different markets! Share examples of how you've adapted strategies based on local behaviours. This will highlight your globally-minded perspective, which is key for a role at Whatnot.

We think you need these skills to ace Data Scientist, International in London

Data Analysis
SQL
Scripting Languages
Business Intelligence Tools
Looker
Tableau
Mode

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with data analytics, especially in international markets, and how it aligns with what we’re looking for at Whatnot.

Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in SQL, data visualisation tools, and how you’ve influenced business decisions through data.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly address the requirements mentioned in the job description.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at I did my part and supported the Regular Toilet

Know Your Data Inside Out

As a Data Scientist, you’ll need to demonstrate your analytical prowess. Brush up on your SQL and scripting skills, and be ready to discuss how you've used data to drive business decisions in the past. Prepare examples that showcase your ability to translate complex data into actionable insights.

Understand Local Market Nuances

Since this role involves international markets, it’s crucial to show your understanding of local behaviours and trends. Research the specific markets Whatnot operates in and be prepared to discuss how cultural differences can impact user behaviour and sales strategies.

Communicate Clearly and Effectively

Strong communication skills are key for this position. Practice explaining your analyses and findings in a clear, concise manner. Think about how you would present your insights to non-technical stakeholders and be ready to demonstrate your ability to influence decision-making without authority.

Showcase Your Tool-Building Skills

Whatnot values tools that drive action, so be prepared to discuss any dashboards or reporting tools you've built. Highlight your experience with BI tools like Looker or Tableau, and think about how you can create solutions that not only report data but also empower teams to make informed decisions.