At a Glance
- Tasks: Drive data projects that impact millions of users and shape product strategy.
- Company: Join Intercom, a leading AI Customer Service company transforming customer experiences.
- Benefits: Enjoy competitive salary, equity, flexible holidays, and a fully stocked kitchen.
- Why this job: Be part of a dynamic team using data to unlock actionable insights and drive decisions.
- Qualifications: 5+ years in data analysis, excellent SQL skills, and experience with BI tools.
- Other info: Hybrid working model with a focus on collaboration and a supportive culture.
The predicted salary is between 43200 - 72000 £ 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. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
What\’s the opportunity?
- 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. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. 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)
Bonus skills & attributes
- 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
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
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. 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.
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.
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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
Network like a pro! Reach out to current employees at Intercom on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into Intercom's products and services. Understand how data science plays a role in enhancing customer experiences. This will show your genuine interest and help you stand out during discussions.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've used data to drive decisions in past roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at Intercom. Good luck!
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 is tailored to the Senior Data Scientist role. Highlight your experience with data analytics, SQL skills, and any relevant projects that showcase your ability to drive evidence-based decisions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills align with our mission at Intercom. Be genuine and let your passion for data science come through.
Showcase Your Projects: If you've worked on interesting data projects, don’t hesitate to mention them! Include links to dashboards or models you've built, as this will give us a better understanding of your hands-on experience and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at Intercom
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be expected to have a solid grasp of data analytics. Brush up on your SQL skills and be ready to discuss how you've used data to drive evidence-based decisions in the past. Prepare specific examples that showcase your analytical prowess and the impact of your insights.
✨Communicate Like a Pro
Excellent communication is key, especially when translating complex data into actionable insights. Practice explaining your previous projects in simple terms, focusing on the outcomes and how they influenced product strategy. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Show Your Curiosity
Intercom values a growth mindset and curiosity. Be prepared to discuss how you approach problem-solving and what questions you ask when analysing data. Share instances where your curiosity led to unexpected insights or improvements in processes, as this will highlight your passion for data science.
✨Familiarise Yourself with Their Tools
Since you'll be working with BI/visualisation tools like Tableau and possibly using Python or R, make sure you're comfortable discussing your experience with these technologies. If you can, bring along examples of dashboards or models you've built, as this will give you an edge in showcasing your technical skills.