Finance Data Scientist

Job not on LinkedIn

🕒 October 5

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 31%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ElevenLabs

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

📱 Media

💰 $19M Series A on 2023-06

Artificial Intelligence • Media

ElevenLabs is a research lab dedicated to exploring new frontiers in voice generation. Their mission focuses on making content universally accessible in any language and voice. Through innovative research and deployment of novel methods in voice AI, ElevenLabs aims to enhance the enjoyment of content for diverse audiences and viewers.

📋 Description

• Turn billing, revenue, and forecasting data into audit-ready numbers and analysis for pricing and planning decisions • Own finance-facing analysis, including revenue and ARR reconciliation, cohort and retention economics, and pricing and packaging experiments • Partner with Analytics Engineering on the certified finance KPI layer covering ARR, billing, and revenue • Identify and investigate incorrect or inconsistent data • Build forecasting and scenario models used by FP&A for planning and board reporting • Translate ambiguous finance questions from FP&A, RevOps, and leadership into clear, reusable analysis • Potentially grow into broader strategic finance or RevOps analytics and data leadership responsibilities

🎯 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 • Experience reconciling data across Stripe, Salesforce, and a dbt-modelled warehouse • Finance fluency in ARR, billing, revenue recognition, and cohort economics • Rigour around data quality and ability to explain variances • Strong stakeholder management with Finance leadership • Ability to push back on ambiguous asks • Ability to operate in CET / ET timezones • Experience preparing finance data for audit, SOX, or IPO readiness is a bonus • Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business is a bonus • Experience with dbt or a modern warehouse such as BigQuery is a bonus

🏖️ Benefits

• Annual discretionary professional development stipend • Annual discretionary stipend for social travel to meet colleagues • Annual company offsite • Monthly co-working stipend for employees not near a main hub • Flexible choice to work from company offices in London, Warsaw, Dublin, or New York • Growth opportunities and career progression paths

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