Latest Data Science jobs at Lovable

Own product-area metrics, funnels, experimentation, and behavioral analysis to identify opportunities and drive improvements in activation, engagement, and retention. The role partners directly with product and engineering while building trusted analytics infrastructure and proactive insight systems.

Owns pricing and packaging analytics, models unit economics and willingness to pay, and runs experiments that guide revenue and retention decisions. The role requires strong SQL, Python, applied statistics, experimentation, and cross-functional commercial judgment.

The first data scientist on Lovable’s London growth team will own the funnel from acquisition through expansion, identify high-leverage opportunities, and partner with growth engineering to ship experiments. The role requires strong SQL, Python, applied statistics, and autonomous experimentation skills.

Owns the measurement and improvement of Lovable’s AI agent by defining quality metrics, building evaluation and experimentation systems, and turning telemetry into product fixes. The role requires strong SQL, Python, statistics, experimentation, and interest in LLM evaluation and observability.

This role owns financial analytics, building forecasts, scenario analyses, production-grade data models, and predictive insights around revenue, retention, and unit economics. It partners with Finance, Data, and Engineering to provide trusted analysis and narratives for leadership, the board, fundraising, and strategic decisions.

Data Scientist responsible for strengthening analytics across growth, product, and marketing through behavioral analysis, experimentation, dashboards, and actionable recommendations. Requires strong SQL, Python, and statistical analysis skills, plus the ability to connect user behavior with growth and retention.