Senior Finance Data Scientist

Intercom
Dublin
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5-8 yearsSkills: ["Communication","Problem-solving","Leadership","Presentation","Storytelling"]

Senior Finance Data Scientist for Existing Business, responsible for building production-grade forecasting models to predict Intercom’s revenue future, focusing on expansion propensity and long-term LTV, designing finance data pipelines, and delivering executive-ready insights to guide strategic decisions.

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Intercom
Intercom
5 months ago

Senior Finance Data Scientist

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Last checked: 11 hours agoStatus: Live

Job Summary

Senior Finance Data Scientist for Existing Business, responsible for building production-grade forecasting models to predict Intercom’s revenue future, focusing on expansion propensity and long-term LTV, designing finance data pipelines, and delivering executive-ready insights to guide strategic decisions.
Location: Dublin
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Build and own probabilistic and time-series models that project ARR performance across renewals and usage-based motions.
  • •Incorporate behavioral signals (product adoption, seat utilization, feature engagement) into expansion propensity and LTV frameworks.
  • •Own the end-to-end data pipeline for finance, transforming raw product usage and billing data into curated, model-ready datasets in the data warehouse.
  • •Partner with Sales, Product, and Data Engineering to align financial models with product roadmaps and actual customer behavior.
  • •Translate complex statistical outputs into clear, decision-oriented narratives for CFO and executive leadership; build executive-ready dashboards and presentations.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityPensionLife AssuranceHealth InsuranceDental

Key Requirements

  • •5 to 8 years of experience in Data Science, Strategic Finance, or Revenue Analytics, with a deep focus on SaaS or usage-based business models
  • •Advanced Technical Skills: Python (pandas, scikit-learn) and Expert-level SQL; experience with forecasting libraries (e.g., Prophet, Nixtla) is a major plus
  • •System Design Mindset: Experience building scalable data pipelines and production-grade analytical tools, not just one-off spreadsheets
  • •SaaS Mastery: Strong understanding of NRR, LTV, Churn, and the relationship between product usage and revenue
  • •Communication: Ability to translate technical work into business insight and influence stakeholders through data-driven storytelling
Experience:5-8 yearsSaaSUsage-based
Skills:CommunicationProblem-solvingLeadershipPresentationStorytelling
Languages:English
Tech Stack:PythonSQLPandasScikit-learnProphetNixtla

Company Brief

Intercom
Provides a customer messaging platform combining chat, bots, and product tours to help businesses convert, engage, and support customers across their lifecycle. Integrates with CRM and workflow tools for personalized in-app and email communication.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn