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- Tasks: Drive data insights and develop success metrics for innovative AI projects.
- Company: Leading AI Customer Service company in London with a diverse culture.
- Benefits: Competitive salary, health benefits, and hybrid working policy.
- Why this job: Join a dynamic team and make an impact in the AI industry.
- Qualifications: 5+ years of experience, excellent SQL skills, and a growth mindset.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI Customer Service company in London is seeking a Data Scientist to work within their RAD team. You will partner with GTM teams to drive data insights, develop success metrics, and create data pipelines.
The ideal candidate has 5+ years of experience, excellent SQL skills, and a strong growth mindset.
Enjoy a competitive salary, health benefits, and a hybrid working policy as part of a diverse and inclusive culture.
Staff Data Scientist – GTM & Product Analytics in London employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist – GTM & Product Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving SQL and analytics. We want to demonstrate how we can drive insights and success metrics for the team.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL and data pipeline knowledge. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our experience aligns with the role in GTM and Product Analytics.
We think you need these skills to ace Staff Data Scientist – GTM & Product Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with GTM and product analytics. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your SQL prowess!
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 background makes you a perfect fit. We love seeing a strong growth mindset, so share examples of how you've embraced challenges in the past.
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's developing success metrics or creating data pipelines, we want to know how you've applied your skills in real-world scenarios. It helps us see your potential impact on our team.
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 shows us you’re keen on joining our diverse and inclusive culture!
How to prepare for a job interview at Intercom
✨Know Your SQL Inside Out
Since the role requires excellent SQL skills, make sure you brush up on your SQL knowledge. Be prepared to discuss your experience with data manipulation and querying, and even practice writing some queries beforehand. This will show that you're not just familiar with SQL but can also apply it effectively in real-world scenarios.
✨Understand the GTM Process
Familiarise yourself with the Go-To-Market (GTM) strategies and how data analytics plays a role in them. Research the company’s products and their market positioning. Being able to discuss how data insights can drive GTM success will demonstrate your proactive approach and understanding of the business context.
✨Showcase Your Growth Mindset
The ideal candidate has a strong growth mindset, so be ready to share examples of how you've embraced challenges and learned from failures in your previous roles. Highlight any instances where you took initiative to improve processes or outcomes, as this aligns perfectly with what they’re looking for.
✨Prepare Questions About the RAD Team
Come prepared with insightful questions about the RAD team and their current projects. This shows your genuine interest in the role and helps you understand how you can contribute. Ask about the tools they use for data pipelines or how they measure success metrics, which will also give you a clearer picture of the job expectations.
