Intercom

3 months ago

Senior Finance Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 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

Website LinkedIn

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Intercom

3 months ago

Senior Finance Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn