At a Glance
- Tasks: Utilise data to drive decisions and enhance customer experiences.
- Company: Join Intercom's innovative Research, Analytics & Data Science team.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and customer satisfaction.
- Why this job: Make a real impact by applying data insights to improve products.
- Qualifications: Strong SQL skills and experience in driving actionable insights.
The predicted salary is between 60000 - 80000 £ per year.
Intercom is seeking a skilled Data Scientist to join their Research, Analytics & Data Science team. This role focuses on utilizing data to help drive decisions and strategies that impact our products and customer experiences significantly. You will collaborate with product teams, build effective data models, and contribute to data-driven insights.
Applicants should have strong SQL skills, experience in successfully driving insights, and a passion for applying data to improve customer satisfaction. The role offers a hybrid model, requiring three days in the office to foster collaboration.
Senior Data Scientist, AI-Driven Insights & Pipelines employer: Intercom
Intercom is an excellent employer that champions a collaborative work culture, where data-driven insights are at the forefront of enhancing customer experiences. With a hybrid working model, employees enjoy the flexibility of remote work while benefiting from in-person collaboration three days a week. The company prioritises employee growth through continuous learning opportunities and encourages innovation, making it a rewarding place for those passionate about leveraging data in impactful ways.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, AI-Driven Insights & Pipelines
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Intercom on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data models and insights you've driven in the past. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL and data analysis techniques. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our CVs and cover letters to match what Intercom is looking for.
We think you need these skills to ace Senior Data Scientist, AI-Driven Insights & Pipelines
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL expertise in your application. We want to see how you've used it to drive insights in your previous roles, so don’t hold back on the details!
Tell Us About Your Impact:When you describe your past experiences, focus on how your data-driven decisions have positively impacted customer satisfaction or product strategies. We love seeing tangible results!
Collaborate Like a Pro:Since this role involves working closely with product teams, share examples of how you've successfully collaborated in the past. We’re all about teamwork here at StudySmarter!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Intercom
✨Know Your SQL Inside Out
Since strong SQL skills are a must for this role, make sure you brush up on your SQL knowledge. Be prepared to discuss your experience with SQL queries and how you've used them to drive insights in past projects.
✨Showcase Your Data-Driven Decision Making
Prepare examples of how you've used data to influence product decisions or improve customer experiences. Highlight specific metrics or outcomes that resulted from your insights to demonstrate your impact.
✨Collaborate Like a Pro
This role involves working closely with product teams, so be ready to discuss your collaborative experiences. Share instances where teamwork led to successful data models or insights, emphasising your ability to communicate effectively with non-technical stakeholders.
✨Embrace the Hybrid Work Model
With a hybrid model in place, express your enthusiasm for both in-office collaboration and remote work. Discuss how you plan to maintain productivity and communication while balancing both environments, showing that you're adaptable and ready to contribute.
