About Us
Sling Money allows anyone in 140+ countries to send money to each other instantly, with just a couple of taps. You don’t need to know anything about the recipient’s bank account, and you don’t have to worry about foreign exchange. We believe all of this should be possible at low or no cost and at the moment, Sling Money is completely free. We’re building the world’s first billion-user financial app, and we’d love your help.
About the Role
As Sling Money’sfirst Data Scientist, you’ll play a foundational role in shaping the way we understand our users, our product, and our growth. This is a rare opportunity to build the data function from the ground up at a fast-growing fintech. You’ll work across product, marketing, and business teams to uncover insights, design experiments, and power the decision-making that will drive us to our next stage of growth.
You’ll combine deep technical expertise with strong storytelling to connect the dots between our data and our goals. From analyzing user behavior and improving the customer journey, to building the systems that measure and forecast growth, you’ll own the data defining success.
This role has high ownership and impact. You’ll work closely with engineers, designers, marketers, and leadership to build a culture of data-driven decision-making at Sling Money.
Key Responsibilities
- Shape Product Development:Use data to help prioritize what we build, identify opportunities to improve the user experience, and measure the impact of new features.
- Accelerate Growth:Partner with marketing and product teams to design and evaluate experiments, optimize acquisition channels, and identify the levers that drive organic growth, engagement, and retention.
- Foster a Data Culture:Help embed analytics into every part of the organization, empowering teams to make smarter decisions with data.
- Build & Scale Systems:Build and operate our data pipeline from Postgres to BigQuery. Define our core data models and build upon them to understand our product and user behavior as we scale.
- Solve Hard Problems:Analyze complex data sets using statistical methods, quantitative analysis to answer our biggest business and product questions.
- Tell Data-Driven Stories:Translate your insights into clear, actionable recommendations that influence product strategy, marketing investments, and business decisions.
About You
- Experience:8+ years of experience in data science, analytics, or a related field, ideally in a fast-paced startup or technology company.
- Technical Skills:Proficiency in SQL and Python. Strong statistical and experimental design expertise. Experience with tools like BigQuery, Fivetran, and DBT is desired.
- Collaboration:You thrive in cross-functional teams, working with engineers, marketers, designers, and leadership to drive impact together.
- Product & Marketing Mindset:You can connect the dots between data and product strategy, and you have experience analyzing user behavior, growth funnels, and marketing performance.
- Curiosity & Creativity:You’re excited to tackle ambiguous problems, explore new hypotheses, and find answers in the data.
- Communication:You don’t just analyze data—you know how to tell compelling stories and influence decisions with your insights.
- Growth Mentality:You’re focused on learning and iterating every day. You get things wrong, but you never stop improving.
Nice to have
- Experience in consumer fintech, payments, or social apps.
- Experience at a Series A startup.
- Ability to work from our London office two days a week.
Why join us?
- High Impact:You’ll shape the foundation of Sling Money’s data function and influence the trajectory of a global fintech.
- Big Opportunity:We’re solving a massive, global problem and we’re just getting started.
- Collaborative Team:Work with ambitious, curious, and kind teammates who want to change how the world moves money.
- Growth Potential:As one of our first data hires, there’s huge scope to grow your role as we scale.
Compensation, Perks & Benefits
- Competitive salary and equity package.
- Free lunch in the office and flexible working arrangements.
- Professional development opportunities, team offsites, and events.
- The chance to be part of a fast-growing, mission-driven startup.
