# Senior Data Scientist - AI Tooling

**Company:** [Intercom](https://hotfix.jobs/companies/intercom)
**Location:** Dublin, Ireland, London, United Kingdom
**Role:** Data Science
**Experience:** 5+ years
**Skills:** Python, React, SQL, R, RAG, Vector Search, Prompt Engineering, Machine Learning, Statistical Analysis, dbt, Airflow, Llm Evaluation
**Posted:** 2026-07-20

> Build and deploy AI-powered internal tools and data products for go-to-market teams, from rapid prototyping through production. The role requires applied data science experience, strong SQL and Python or R skills, LLM application expertise, and the ability to measure business impact.

## Job Description

## Responsibilities
- Design, evaluate, and ship AI-powered internal tools for go-to-market use cases, including account research and summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization and follow-ups.
- Own the full lifecycle from problem definition and data modeling through production-ready tools, including Python backends and React frontends.
- Rapidly prototype with users, then productionize quickly to iterate and deliver impact.
- Define success through real usage and measurable business impact, such as improved win rate, conversion, or expansion.
- Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

## Requirements
- Proven track record of applied data science with measurable go-to-market impact, including shipped models or tools that improved conversion, cycle time, or retention.
- Experience applying LLMs and machine learning, including RAG, prompt and tool design, vector search, and evaluations.
- Experience leveraging AI for software development.
- Excellent SQL skills and fluency in Python or R.
- Experience applying analytical and statistical methods to business problems.
- Experience with orchestration tools such as dbt and Airflow for reliable data workflows.
- Strong communication and empathy, with the ability to explain complex data concepts to non-technical stakeholders.
- Collaborative product mindset and comfort working with Sales and Success teams to turn ambiguity into clear deliverables.

## Benefits
- Competitive salary and equity.
- Lunch provided every weekday, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Open vacation policy and flexible holidays.
- Paid maternity leave and six weeks of paternity leave.
- MacBook or other equipment needed to perform the role.
- Hybrid working policy with employees expected in the office at least three days per week.

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