Senior Data Scientist

Stack

Responsibilities

• ▹Partner with product teams to help them 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 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 customers, products and the business
• ▹Influence the product roadmap and strategy through exploratory analysis and quantitative research
• ▹Increasingly use AI-assisted tools (e.g. Claude Code, Cursor) to accelerate analysis, coding and insight generation
• ▹Identify opportunities to automate your own workflows and reduce time spent on repetitive tasks
• ▹Build scalable data products (dashboards, models, internal tools) that enable stakeholders to self-serve insights
• ▹Help teams interact more directly with data, e.g. 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

Requirements

• ▹5+ years of experience working with data to solve problems and drive evidence-based decisions
• ▹Strong SQL skills and 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 ability to connect analysis to strategy
• ▹Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes
• ▹Strong ownership, curiosity and growth mindset
• ▹Experience with a scientific computing language (e.g. Python)
• ▹Ability to effectively use AI tools (e.g. Claude Code, Cursor) to accelerate and improve your work
• ▹A mindset of automation and leverage, looking for ways to scale your impact beyond one-off analyses
• ▹Comfort working in ambiguous, fast-evolving environments where tools and workflows are rapidly changing

Nice to have

• ▹Experience with data modeling and ETL pipelines (especially dbt)
• ▹Experience building internal tools, data products or self-serve analytics capabilities
• ▹Experience leveraging AI across the data workflow, from ideation and coding to analysis and communication

Soft skills

What we offer

• ▹Competitive salary and equity in a fast-growing start-up
• ▹Unlimited access to Claude Code and best-in-class AI tools; experimentation and building is encouraged and celebrated
• ▹Lunch served every weekday, plus snacks and a fully stocked kitchen
• ▹Regular compensation reviews
• ▹Life assurance, plus comprehensive health and dental insurance for you and your dependents
• ▹Open vacation policy and flexible holidays
• ▹Paid maternity leave and 6 weeks of paternity leave for fathers
• ▹MacBook as standard, with other equipment available as needed for the job
• ▹Hybrid working: at least three days a week in the office

About the company

Fin is the AI Customer Agent company. Its AI Agent, Fin, resolves complex customer issues end-to-end across every channel, and combined with the Intercom help desk it forms one system for support teams. Founded in 2011, it is one of the largest private software companies in the world, with nearly 30,000 businesses using its products.