At a Glance
- Tasks: Lead customer data science projects and drive impactful outcomes through analytics.
- Company: Xpand Group, a forward-thinking company based in London.
- Benefits: Competitive salary, bonus, and hybrid work model.
- Other info: Join a dynamic team focused on innovation and growth.
- Why this job: Enhance commercial performance using advanced analytics and machine learning.
- Qualifications: Strong experience 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your customer analytics projects, machine learning models, and any cool Python or SQL work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and analytics. Be ready to discuss your past projects and how they drove outcomes. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Customer Data Science Lead – GenAI & Delivery in London
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:Customise your CV and cover letter to reflect the specific requirements of the Customer Data Science Lead position. We love seeing candidates who take the time to connect their experiences to what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary 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 Science Stuff
Make sure you brush up on your customer analytics knowledge and be ready to discuss specific projects you've worked on. Be prepared to explain how you've used Python and SQL in your previous roles, especially in delivering machine learning models.
✨Showcase Your Leadership Skills
Since this role involves leading projects, think of examples where you've successfully managed a team or driven a project to completion. Highlight your ability to engage with stakeholders and deliver outcomes that enhance commercial performance.
✨Prepare for Technical Questions
Expect some technical questions related to data science and machine learning. Brush up on the latest trends in GenAI and be ready to discuss how they can be applied to customer data science. Practising coding problems in Python could also give you an edge.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data science projects or how they measure success in their analytics initiatives. This shows you're genuinely interested and engaged.
