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- Tasks: Analyse customer data, build models, and create dashboards to drive insights.
- Company: International art services firm with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a creative team and use data to enhance art accessibility and audience engagement.
- Qualifications: PhD in a quantitative field and 1-2 years of relevant experience.
- Other info: Dynamic work environment with a passion for art and technology.
The predicted salary is between 35000 - 45000 £ per year.
An international art services firm based in the UK is seeking a Data Scientist to join their Data team. The ideal candidate will have a PhD in a quantitative discipline and 1-2 years of industry experience. You will focus on customer analytics, building models, creating dashboards, and delivering insights that empower decision-making within the organization. This role provides excellent opportunities for leveraging cutting-edge technologies to enhance the understanding of audience interactions and art accessibility.
Data Scientist — Customer Analytics & Insights employer: HENI
Contact Detail:
HENI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Customer Analytics & Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the art services and data science fields. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your customer analytics projects, models, and dashboards. Use platforms like GitHub to share your code and visualisations. This way, potential employers can see your work in action, and we can help you stand out from the crowd!
✨Tip Number 3
Prepare for those interviews! Research the company and its approach to customer insights. Be ready to discuss how your experience aligns with their needs. We recommend practising common data science interview questions and even some case studies related to art accessibility.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there. Don’t miss out on your chance to join an innovative team focused on enhancing audience interactions!
We think you need these skills to ace Data Scientist — Customer Analytics & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in customer analytics and any quantitative skills you possess. We want to see how your background aligns with the role, so don’t be shy about showcasing your PhD and industry experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. We love seeing candidates who can connect their skills to our mission of enhancing art accessibility.
Showcase Your Technical Skills: Don’t forget to mention any specific tools or technologies you’ve used in your previous roles. Whether it’s building models or creating dashboards, we want to know how you’ve leveraged tech to drive insights and decision-making.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at HENI
✨Know Your Data
Make sure you brush up on your data science fundamentals, especially in customer analytics. Be prepared to discuss specific models you've built and how they impacted decision-making. This shows you can apply your knowledge practically.
✨Showcase Your Dashboards
Bring examples of dashboards you've created in the past. Discuss the tools you used and how these visualisations helped stakeholders understand complex data. This will demonstrate your ability to communicate insights effectively.
✨Understand the Art Industry
Since the role is with an art services firm, do a bit of research on the industry. Familiarise yourself with how data can enhance audience interactions and art accessibility. This will help you connect your skills to their mission during the interview.
✨Prepare for Technical Questions
Expect some technical questions related to your PhD work and industry experience. Practice explaining your thought process clearly and concisely. This will show that you can articulate complex concepts, which is crucial for a Data Scientist.