Data Scientist, Finance

Lovable

Stockholms kommun

On-site

SEK 558,000 - 837,000

Full time

14 days+
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Job summary

A forward-thinking software company based in Stockholm is seeking a business-savvy data scientist to enhance financial analytics. The ideal candidate will partner with Finance, utilize SQL and Python skills, and create robust data models. Responsibilities include building dashboards, monitoring data quality, and supporting strategic initiatives. With a focus on collaborative ownership, this role aims to translate complex data into clear insights and support the company's innovative mission.

Qualifications

  • Business-minded data scientist excited to level up financial analytics.
  • Experience creating production-level data models with testing.
  • Expertise in financial modeling, forecasting, and scenario analysis.

Responsibilities

  • Partner with Finance to build and maintain financial projections.
  • Work with data teams to leverage business data for insights.
  • Monitor data quality and collaborate with engineering.

Skills

SQL
Python
Statistical analysis
Financial modeling
Exploratory analysis
Behavioral modeling

Tools

React
Golang
Rust
Cloudflare
GCP
AWS
Github Actions
Grafana
Terraform

Job description

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis.

Why Lovable?

Lovable lets anyone and everyone build software with plain English. 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. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. 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 excited to level up our financial analytics by building metrics frameworks and data models.

Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations.

Experience creating production-level data models with strong testing, and clear ownership across pipelines.

Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights.

Deep curiosity about user behavior and what actually drives growth and retention

Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics).

What you’ll do

Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans

Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling

Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions

Build dashboards, alerts, and automated reporting to keep the team informed and aligned

Monitor data quality and collaborate with engineering to maintain reliability

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

Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation

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

Frontend: React

Backend: Golang and Rust

Cloud: Cloudflare, GCP, AWS, Many LLM providers

DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform)

And always on the lookout for what's next!

How we hire

Fill out a short form and hop on a quick intro call with our recruiting team

Walk through past work and real examples of your process

Show us your Most Impressive Project

Cross-functional interviews to meet more team members

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.

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