Staff Data Scientist in London

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service.

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We’re a team of data scientists and product researchers who use data to unlock actionable insights about our customers, our products and our business. Data Scientists embedded with GTM bring a blend of commercial expertise and product insight to identify and prioritize growth opportunities.

What will I be doing?

• You’ll partner with GTM teams to help them identify important questions and answer those questions with data.
• You’ll work closely with sales and solutions leaders to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities.
• You’ll 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.
• You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
• You’ll influence our GTM strategy through experimentation, exploratory analysis and quantitative research.
• You’ll build and automate actionable models and dashboards.
• You’ll craft data stories and share your findings and recommendations across R&D and the broader company.
• You’ll drive and shape core RAD foundations and help us improve how the RAD org operates.

What skills do I need?

• 5+ years experience working with data to solve problems and drive evidence-based decisions.
• Excellent SQL skills and good knowledge of statistics.
• Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision.
• Excellent communication skills (technical and non-technical) and a focus on driving impact.
• Strong growth mindset and sense of ownership.
• Innate passion and curiosity.
• Experience with a scientific computing language (such as R or Python).
• Experience with BI/Visualization tools like Tableau, Superset and Looker.
• Experience working with LLMs.
• Experience with data modeling and ETL pipelines.
• Experience working with product teams.

We are a well treated bunch, with awesome benefits!

• 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.
• 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.

Intercom 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 Intercom. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom 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.