Senior Finance Data Scientist, Existing Business

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today enabling businesses to deliver impeccable always-on customer support across the customer journey from service to sales to ecommerce. Powered by our own AI models Fin resolves complex customer issues end-to-end across every channel with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.

Founded in 2011 Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30000 global businesses using our products to transform their customer support. Driven by our core values we push boundaries build with speed and intensity and relentlessly deliver incredible value to our customers.

Whats the opportunity

As a Senior Finance Data Scientist Existing Business you will be the architect of the systems that predict Fins revenue future. You will move beyond static reporting to build production-grade forecasting models that translate complex customer behaviors into financial signals.

You will work on high-impact open-ended problems such as predicting expansion propensity and modeling long-term customer LTV. This role requires a hybrid of financial intuition and technical rigor: the ability to navigate raw data warehouses and the strategic mindset to explain the why behind the numbers to our leadership team.

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 Fin 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

• • 3 yearsin 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

We are a well-treated bunch with awesome benefits! If theres something important to you thats not on this list talk to us!

• 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 youre cycling weve 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.

#LI-Hybrid

Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through ourcore values.

Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race color religion creed national origin ancestry sex gender age physical or mental disability veteran or military status genetic information sexual orientation gender identity gender expression marital status or any other legally recognized protected basis under federal state or local law.