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Senior Data Scientist AI Tooling

United Kingdom, London · Job Posted June 07, 2026
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Job Description

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 30,000 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.

Job Responsibility

  • Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups
  • Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends
  • Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact
  • Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion)
  • Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

Requirements

  • Proven track record of applied data science with measurable GTM impact
  • LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development
  • Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems
  • Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows
  • Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders
  • Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

What we offer

  • 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
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Open vacation policy and flexible holidays so you can take time off when you need it
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done
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