# Senior Finance Data Scientist, Existing Business **Company**: Intercom **Location**: Dublin, Ireland **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Finance **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/intercom/jobs/7774230?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_2c9a9969-bd3 ## Description Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. As a Senior Finance Data Scientist, Existing Business, you will be the architect of the systems that predict Intercom’s revenue future. You will move beyond static reporting to build production-grade forecasting models that translate complex customer behaviors into financial signals. ## The Impact You Will Have - Own and Evolve the Revenue Engine: Build and maintain predictive models for usage-based revenue, renewals, and expansion that outperform traditional linear forecasts. - Unlock Predictive Insights: Develop propensity models to identify expansion opportunities and churn risks before they materialize in the ledger. - Architect Finance Data: Design and maintain curated datasets that serve as the single source of truth. - Model Customer Value: Define and iterate on our LTV frameworks, providing a clear linkage between product engagement and long-term financial outcomes. - Drive Scalability: Build automated, code-based forecasting workflows that increase the speed, reliability, and granularity of our financial planning. ## What will I be doing? ### Predictive Modeling and Forecasting Systems - Build and own probabilistic and time-series models that project ARR performance across renewals and usage-based motions. - Incorporate behavioral signals, such as product adoption, seat utilization, and feature engagement, into expansion propensity and LTV frameworks. - Design models that account for cohort dynamics, seasonality, and product-led growth (PLG) signals. - Evaluate model performance through backtesting and iteration, ensuring our "financial weather forecast" is constantly improving. ### Data and Analytical Infrastructure - Own the end-to-end data pipeline for finance, transforming raw product usage and billing data into curated, model-ready datasets in our data warehouse. - Write and optimize production-quality SQL and Python to work with large-scale datasets and automate complex FP&A workflows. - Ensure data integrity and consistency across all predictive systems and executive dashboards. - Contribute to the long-term data strategy for how Intercom tracks and predicts Existing Business health. ### Analytical Problem Solving - Translate ambiguous business questions (e.g., "Which usage signals best predict a 2x expansion?") into structured data science projects. - Connect ARR outcomes to underlying drivers like product adoption, customer health scores, and GTM activity. - Perform scenario modeling and sensitivity analysis to help the business understand the range of possible outcomes for NRR. ### Business Partnership & Communication - Partner with Sales, Product, and Data Engineering to align our financial models with actual customer behavior and product roadmaps. - Translate complex statistical outputs into clear, decision-oriented narratives for the CFO and executive leadership. - Build executive-ready materials, including predictive dashboards and strategic presentations. ## What skills do I need? - 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: High proficiency in 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. - Business Judgment: A focus on accuracy and a "Product Sense" that allows you to see the human behavior behind the data points. - AI-Augmented Productivity: Proficiency in leveraging AI-native development tools (e.g. Cursor, Claude Code) to accelerate the development of data pipelines, model prototyping, and code documentation. ## What Success Looks Like - Automated forecasting models that are more accurate, granular, and less manual than previous iterations. - A clear Propensity Score integrated into our planning that successfully predicts customer expansion and contraction. - Scalable, code-based workflows that reduce the time-to-insight for the Existing Business team. - High confidence from leadership in our ability to predict the financial impact of changing customer usage patterns. ## Benefits - Competitive salary and equity in a fast-growing start-up - We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen - Regular compensation reviews - we reward great work! - Pension scheme & match up to 4% - Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents - Flexible paid time off policy - Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones - If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too - MacBooks are our standard, but we also offer Windows for certain roles when needed. ## Skills ### Required - Python - SQL - Data Science - Strategic Finance - Revenue Analytics - SaaS - NRR - LTV - Churn ### Nice to have - Prophet - Nixtla - Cursor - Claude Code --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/intercom/jobs/7774230?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)