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- Tasks: Design data pipelines and influence product strategy through insightful data analysis.
- Company: Leading AI Customer Service firm in Greater London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary reviews, and open vacation policies.
- Why this job: Join a dynamic team and shape product strategies with your analytical skills.
- Qualifications: 5+ years of experience, excellent SQL skills, and a strong analytical mindset.
The predicted salary is between 60000 - 84000 £ per year.
A leading AI Customer Service firm in Greater London is looking for a Data Scientist. In this role, you will work with product teams, design data pipelines, and influence product strategy through data analysis.
The ideal candidate has over 5 years of experience, excellent SQL skills, and a strong analytical mindset.
The position offers a hybrid work model and competitive benefits including salary reviews and open vacation policies.
Senior Data Scientist — Product Analytics & Insights employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Product Analytics & Insights
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those that influenced product strategy. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL skills and be ready for technical questions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist — Product Analytics & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially focusing on product analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL expertise and analytical mindset!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about product strategy and how your past experiences can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to influence product strategy through data analysis.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Intercom
✨Know Your Data
Make sure you brush up on your SQL skills and be ready to discuss how you've used data analysis to influence product strategy in your previous roles. Prepare specific examples that showcase your analytical mindset and how it led to actionable insights.
✨Understand the Product
Research the company’s products and think about how data can enhance their performance. Be prepared to share your thoughts on potential improvements or features based on data insights. This shows your genuine interest and understanding of their business.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines and analytics. Practice explaining complex concepts in a simple way, as you may need to communicate your findings to non-technical team members. Use real-world scenarios from your experience to illustrate your points.
✨Showcase Your Collaboration Skills
Since you'll be working with product teams, highlight your experience in cross-functional collaboration. Share examples of how you've successfully worked with different stakeholders to drive product decisions using data. This will demonstrate your ability to fit into their hybrid work model.