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- Tasks: Analyse customer data, build models, and create dashboards to drive business insights.
- Company: International art services business with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on business decisions in a creative industry.
- Qualifications: PhD in a quantitative field and experience with Python and SQL.
- Other info: Collaborative environment with exciting cross-team projects.
The predicted salary is between 50000 - 70000 £ per year.
An international art services business is looking for a Data Scientist to join their Data team in the Greater London area. The role involves applying research skills to customer analytics, building models, creating dashboards, and delivering insights to support commercial teams.
Candidates should have a PhD in a quantitative field and experience in Python, SQL, and analytical methods. This position offers an opportunity to influence critical business decisions and contribute to cross-team projects.
Data Scientist: Customer Analytics & Data Platform employer: HENI
Contact Detail:
HENI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Customer Analytics & Data Platform
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field, especially those working in customer analytics. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. Include dashboards and models you've built, as this will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical methods. Be ready to discuss how you've applied these in real-world scenarios, especially in customer analytics. Practice common data science interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Data Scientist: Customer Analytics & Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python, SQL, and analytical methods. We want to see how your skills align with the role of Data Scientist, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about customer analytics and how your PhD has prepared you for this role. Let us know how you can influence critical business decisions with your insights.
Showcase Your Research Skills: Since the role involves applying research skills, include examples of your past work that demonstrate your ability to build models and create dashboards. We love seeing how you’ve turned data into actionable insights!
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at HENI
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of customer analytics and the specific data tools mentioned in the job description. Be prepared to discuss how you've used Python and SQL in past projects, and think of examples where your analytical skills made a real impact.
✨Showcase Your Research Skills
Since the role requires applying research skills, come ready to talk about your PhD work or any relevant research projects. Highlight how your findings can translate into actionable insights for the business, and be ready to explain complex concepts in simple terms.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice coding problems in Python and SQL, and be ready to demonstrate your problem-solving process. It’s not just about getting the right answer; they’ll want to see how you approach challenges.
✨Engage with Cross-Team Collaboration
This position involves working with various teams, so be prepared to discuss your experience in collaborative projects. Share examples of how you’ve effectively communicated insights to non-technical stakeholders and contributed to team success.