Senior Data Scientist

Intercom, Inc.
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£62,000.0 - £102,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Extract Transform Load (ETL) Cursor (Graphical User Interface Elements) Database Queries Python (Programming Language) Standard Sql Scientific Computating Data Layers Data Analytics Data Pipelines

Job description

  • Partner with product teams to identify important questions and answer them with data
  • Work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results and outcomes, and size opportunities
  • Design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables
  • Partner closely with product researchers to build a holistic understanding of our customers, our products, and our business
  • Influence product roadmap and product strategy through exploratory analysis and quantitative research
  • Use AI-assisted tools to accelerate analysis, coding, and insight generation
  • Identify opportunities to automate workflows and reduce time spent on repetitive tasks
  • Build scalable data products such as dashboards, models, and internal tools that enable stakeholders to self-serve insights
  • Help teams interact more directly with data through better abstractions, semantic layers, or AI-powered interfaces
  • Raise the bar for how AI is used within RAD by sharing patterns, workflows, and best practices
  • Craft clear, compelling data stories and communicate recommendations across R&D and the broader company
  • Contribute to and shape core RAD foundations, improving how the team operates

Technologies:

  • AI
  • Claude Code
  • Cursor
  • ETL
  • Support
  • Python
  • SQL
  • dbt

Requirements

  • 5+ years of experience working with data to solve problems and drive evidence-based decisions
  • Strong SQL skills and a solid grounding in statistics
  • Experience working closely with product teams
  • Proven track record of delivering actionable insights that drive measurable impact with minimal supervision
  • Strong product intuition, business acumen, and the ability to connect analysis to strategy
  • Excellent communication skills, both technical and non-technical, with a focus on driving decisions and outcomes
  • Strong ownership, curiosity, and a growth mindset
  • Experience with a scientific computing language such as Python
  • Ability to effectively use AI tools such as Claude Code and Cursor to accelerate and improve work
  • A mindset of automation and leverage, looking for ways to scale impact beyond one-off analyses
  • Comfort working in ambiguous, fast-evolving environments where tools and workflows are rapidly changing
  • Bonus: experience with data modeling and ETL pipelines, especially dbt
  • Bonus: experience building internal tools, data products, or self-serve analytics capabilities
  • Bonus: experience leveraging AI across the data workflow, from ideation and coding to analysis and communication

Benefits & conditions

We are Fin, 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, enabling always-on customer support across service, sales, and ecommerce. Founded in 2011, we are one of the fastest-growing companies and one of the largest private software companies in the world, with nearly 30,000 global businesses using our products. Our Research, Analytics & Data Science (RAD) team uses data and insights to drive evidence-based decision-making, partnering across R&D to shape customer empathy, product strategy, and business impact. We offer a competitive salary and equity, unlimited access to Claude Code and best-in-class AI tools, weekday lunch, snacks, a stocked kitchen, regular compensation reviews, health and dental insurance, life assurance, open vacation and flexible holidays, paid maternity leave, six weeks paternity leave, and MacBooks or other equipment as needed. We work in a hybrid model and expect people in the office at least three days per week. We maintain a radically open, accepting, and inclusive culture and are committed to Equal Employment Opportunity.

last updated 34 week of 2026

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