Senior Data Scientist - AI Tooling
Benefits
Joblaze summary
In this role, the Senior Data Scientist will design and implement AI-driven internal tools that enhance go-to-market workflows, focusing on tasks like account research and summarization. Key skills include proficiency in Python or R, strong SQL capabilities, and experience with machine learning applications, particularly in developing tools that drive measurable business outcomes. This position is ideal for someone with a solid background in data science who thrives in dynamic environments and enjoys collaborating with cross-functional teams. The RAD team emphasizes rapid prototyping and real-world impact, making it a fitting opportunity for those eager to see their work translate into tangi
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Intercom's career page.
- Intercom has 152 other open roles including Senior Creative Writer , Technical Support Engineer, Senior Deal Desk Manager.
- 2358 active Python roles on Joblaze right now.
- 1036 active SQL roles on Joblaze right now.
- 140 active R roles on Joblaze right now.
Quick facts
- Is the Senior Data Scientist - AI Tooling role remote?
- It's hybrid — Intercom expects some on-site time in Dublin, Ireland; London, England.
- Where is the role based?
- Intercom is hiring for this position in Dublin, Ireland; London, England.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: ML, Airflow, dbt, SQL, LLM, Python.
- What seniority level is this role?
- Intercom targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Scientist - AI Tooling role at Intercom.
From the original posting
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.
What's the opportunity?
The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.
AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.
The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.
This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.
What will I be doing?
- 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.
What skills do I need?
- Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
- 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.
Benefits
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s 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
- 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
#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 our core 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.
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