At a Glance
- Tasks: Join our RAD team to analyse data and drive product strategy.
- Company: Intercom is a leading AI Customer Service company transforming customer experiences.
- Benefits: Enjoy competitive salary, flexible holidays, and a fully stocked kitchen.
- Why this job: Make a real impact by shaping products that enhance customer interactions.
- Qualifications: 5+ years in data analysis, strong SQL skills, and experience with BI tools required.
- Other info: Hybrid working model with a focus on collaboration and inclusivity.
The predicted salary is between 48000 - 84000 £ per year.
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 use data and insights to drive evidence-based decision-making. We’re a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing?
- You’ll partner with product teams to help them identify important questions and answer those questions with data.
- You’ll work closely with product managers, designers and engineers 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 product roadmap and product 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 experience of applying analytical and statistical approaches to problem solving.
- 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 with data modeling and ETL pipelines.
- Experience working with product teams.
- Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding to analysis and communication.
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.
- 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.
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.
Senior Data Scientist - Product Analytics employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Product Analytics
✨Tip Number 1
Familiarise yourself with Intercom's products and services, especially the AI Customer Service Suite. Understanding how their technology works will help you articulate how your skills can contribute to enhancing their product analytics.
✨Tip Number 2
Network with current or former employees of Intercom on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Senior Data Scientist role.
✨Tip Number 3
Prepare to discuss specific data projects you've worked on that align with the responsibilities outlined in the job description. Be ready to explain your thought process, the tools you used, and the impact your work had on previous teams or products.
✨Tip Number 4
Showcase your passion for data science by staying updated on the latest trends and technologies in the field. Mention any relevant courses, certifications, or personal projects during your discussions to demonstrate your commitment to continuous learning.
We think you need these skills to ace Senior Data Scientist - Product Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on product analytics. Emphasise your SQL skills, experience with BI tools, and any projects where you've driven evidence-based decisions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with Intercom's mission. Mention specific experiences that demonstrate your ability to generate actionable insights and collaborate with product teams.
Showcase Your Technical Skills: Clearly outline your proficiency in programming languages like Python or R, and your experience with data modelling and ETL pipelines. Provide examples of how you've used these skills to solve complex problems.
Prepare for Questions: Anticipate questions related to your analytical approach and problem-solving methods. Be ready to discuss specific projects where you influenced product strategy through data-driven insights.
How to prepare for a job interview at Intercom
✨Showcase Your Analytical Skills
As a Senior Data Scientist, you'll need to demonstrate your ability to analyse data effectively. Prepare examples of past projects where your analytical skills led to actionable insights. Be ready to discuss the methodologies you used and the impact of your findings.
✨Familiarise Yourself with SQL and BI Tools
Since excellent SQL skills are crucial for this role, brush up on your SQL knowledge and be prepared to answer technical questions or even solve problems on the spot. Additionally, have a good understanding of BI tools like Tableau or Looker, as they may ask how you've used these in previous roles.
✨Communicate Clearly and Effectively
Strong communication skills are essential, especially when conveying complex data insights to non-technical stakeholders. Practice explaining your past work in simple terms, focusing on the impact and value it brought to the business.
✨Demonstrate Your Curiosity and Growth Mindset
Intercom values a growth mindset and curiosity. Be prepared to discuss how you've approached learning new skills or technologies in the past. Share examples of how your passion for data has driven you to explore innovative solutions or improve processes.