Data Scientist, Finance

TL;DR — You own the data and models behind Lovable's financials. You turn revenue, cost, and usage data into forecasts, scenario analyses, and metrics frameworks the company steers by, build the financial data models and the systems that keep them current, and give leadership and the board numbers they can trust, not one-off spreadsheets.

Why Lovable?

Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products, fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we're just getting started.

We're a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

What we’re looking for

• A business-minded data scientist who owns financial analytics outcomes: you build the metrics frameworks, data models, and forecasts leadership decides on, instead of handing numbers to someone else to act on.

• Expertise in financial modeling, forecasting, and scenario analysis: P&L, cash flow, and unit economics (LTV, margin, token and infrastructure cost).

• You build systems, not one-off spreadsheets: production-grade financial data models with testing, clear ownership, and lineage, plus the agents that keep them current.

• Strong SQL, Python, and applied statistics. Comfortable with data at scale, and with turning it into forecasts and clear narratives.

• Deep curiosity about what drives growth, retention, and revenue, and how the business’s economics actually work.

• Entrepreneurial. You thrive with autonomy and ambiguity, work closely with Finance, Data, and Engineering, and can make complex numbers clear to executive and board audiences.

What you’ll do

• Own Lovable’s financial analytics: build and maintain the projections, decision analyses, and long-range plans the company steers by, in partnership with Finance.

• Build production-grade financial data models and metrics frameworks on the warehouse, with testing, ownership, and lineage, so billing, revenue, and cost data is trusted by default.

• Turn product and business data into financial insight: cohort economics, predictive models, and the drivers behind revenue and retention.

• Build the dashboards, alerts, and automated reporting, and the agents behind them, that keep Finance and leadership aligned without manual refreshes.

• Translate complex financial data into clear narratives for executive and board audiences.

• Support fundraising and strategic initiatives with reliable analysis and data-room preparation.

Our tech stack

We're building with tools that both humans and AI love:

• Languages: SQL and Python

• Warehouse & events: BigQuery, PubSub

• Analytics & reporting: Hex, Lovable Apps

• Cloud: GCP

And always on the lookout for what's next.

How we hire

1. Fill in a short form and jump on an intro call with our recruiting team

2. A call with the hiring manager

3. A take-home case study

4. A Most Impressive Project session

5. Cross-functional interviews with the people you’d work with

6. A final conversation with leadership

About your application

Please submit your application in English. It's our company language, so you'll be speaking lots of it if you join.

We treat all candidates equally. If you're interested, please apply through our careers portal.