At a Glance
- Tasks: Lead customer data science projects and drive impactful outcomes through analytics.
- Company: Xpand Group, a forward-thinking company in London with a hybrid work model.
- Benefits: Competitive salary, bonus opportunities, and a focus on professional growth.
- Other info: Join a dynamic team and enhance your career in a thriving environment.
- Why this job: Make a real difference in commercial performance using advanced analytics and machine learning.
- Qualifications: Strong background in customer analytics, Python, SQL, and machine learning delivery.
The predicted salary is between 77000 - 88000 € per year.
Xpand Group is looking for a Customer Data Science Manager in London (Hybrid). The role involves leading customer data science projects, driving delivery and outcomes while engaging in analytical work.
Required qualifications include:
- Strong experience in customer analytics
- Advanced Python and SQL skills
- Proven experience in delivering machine learning models
This position offers a salary between £77,000-£88,000 plus a bonus, and aims at enhancing commercial performance through advanced analytics.
Customer Data Science Lead – GenAI & Delivery employer: Xpand Group
Xpand Group is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, we provide ample opportunities for professional development and collaboration on cutting-edge customer data science projects. Our hybrid working model ensures a healthy work-life balance, while competitive salaries and bonuses reflect our commitment to rewarding talent and driving commercial success through advanced analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Science Lead – GenAI & Delivery
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your customer analytics projects and machine learning models. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace Customer Data Science Lead – GenAI & Delivery
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with customer analytics, Python, and SQL in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing how you can connect your past experiences to what we’re looking for in a Customer Data Science Lead.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and qualifications shine through without any fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at Xpand Group
✨Know Your Data Inside Out
Make sure you’re well-versed in customer analytics and can discuss specific projects you've worked on. Be ready to explain how your analytical skills have driven outcomes in previous roles, especially with machine learning models.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your advanced Python and SQL abilities. You might be asked to solve a problem on the spot, so brush up on your coding skills and be ready to talk through your thought process.
✨Engage with Real-World Scenarios
Think of examples where you've successfully led data science projects. Be prepared to discuss challenges you faced and how you overcame them, particularly in delivering impactful results for customers.
✨Understand the Company’s Goals
Research Xpand Group and their approach to enhancing commercial performance through analytics. Tailor your responses to show how your experience aligns with their objectives and how you can contribute to their success.
