Finance Data Scientist
Join ElevenLabs as a Finance Data Scientist to transform finance data into actionable insights for a rapidly growing AI company.
Posted by employer 1 day ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
What you'll build
- Own finance-facing analysis
- Partner with Analytics Engineering on finance KPI layer
- Build forecasting and scenario models
- Translate ambiguous finance questions into analysis
Must have
- Demonstrated experience as a data scientist or analyst in Finance
- Strong SQL and Python skills
- Finance fluency in ARR, billing, revenue recognition
- Rigour around data quality
- Strong stakeholder management
Nice to have
- Experience preparing finance data for audit
- Experience with pricing/packaging experimentation
- Experience with dbt or a modern warehouse
AI in the day-to-day
We use AI to move faster with higher-quality results across the whole company.
Requirements
- Experience
- 3+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Finance Data Scientist at ElevenLabs plays a crucial role in transforming financial data into actionable insights, focusing on revenue reconciliation, pricing experiments, and forecasting models. Proficiency in SQL and Python is essential, along with a solid understanding of finance concepts like ARR and revenue recognition. This position is ideal for someone with experience in finance analytics at a growth-stage company, who can effectively communicate with finance leadership and manage complex data inquiries. ElevenLabs fosters a high-velocity environment that encourages innovation and collaboration across teams.
Joblaze insights
- Listed today — first seen on Joblaze October 7, 2026. Last confirmed on ElevenLabs's careers page October 7, 2026.
Quick facts
- Is the Finance Data Scientist role remote?
- Yes — ElevenLabs lists this as a fully remote position.
- How much experience is required?
- At least 3 years of relevant experience for this Finance Data Scientist role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: BigQuery, Python, SQL, Salesforce, Stripe, dbt.
- What seniority level is this role?
- ElevenLabs targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Finance Data Scientist role at ElevenLabs.
From the original posting
ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
How we work
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
What we offer
Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
About the role
We're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO.
Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments.
Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong.
Build forecasting and scenario models that FP&A uses directly in planning and board reporting.
Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis.
Requirements
Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company.
Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.
Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language.
Rigour around data quality: you reconcile by default and can explain a variance, not just report it.
Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks.
Bonus
Experience preparing finance data for audit, SOX or IPO readiness.
Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business.
Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers.
Growth potential
We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role:
Grow into a Lead Finance Data Scientist role as the central Data team scales.
Expand scope into broader strategic finance or RevOps analytics.
Path into a Head of FP&A Analytics or data leadership track.
Location
This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York.
#LI-Remote
Standard company text repeated across ElevenLabs's postings is omitted here.