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For Companies At a Glance
- Tasks: Lead a team to transform customer data into valuable insights and AI strategies.
- Company: A top retail company in the UK with a focus on innovation.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape the future of retail.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic retail environment.
- Qualifications: Proven leadership skills and experience in online retail and data science.
The predicted salary is between 48000 - 72000 £ per year.
A leading retail company in the UK is seeking a Head of Data Science to transform extensive customer data into commercial value. This full-time position located in Leicester entails overseeing data monetization strategies and implementing AI initiatives.
Ideal candidates will demonstrate strong leadership abilities and a background in online retail. The role offers the opportunity to lead a dedicated team and directly impact the company's strategic direction.
Lead Data Scientist & Commercial Strategy for Retail AI in Leicester employer: Next Careers
Contact Detail:
Next Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist & Commercial Strategy for Retail AI in Leicester
✨Tip Number 1
Network like a pro! Reach out to people in the retail and data science sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those related to AI and data monetization. This will help us see your potential impact on our team.
✨Tip Number 3
Ace the interview! Research common questions for data science roles and practice your answers. We want to see your leadership style and how you can drive our commercial strategy.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Scientist & Commercial Strategy for Retail AI in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Scientist role. Highlight your leadership experience and any relevant projects in online retail to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming customer data into commercial value and how your background makes you the perfect fit for our team.
Showcase Your AI Knowledge: Since this role involves implementing AI initiatives, be sure to mention any relevant experience or projects you've worked on. We want to see how you can bring innovative ideas to the table!
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 from our team!
How to prepare for a job interview at Next Careers
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data science, especially as they relate to retail. Brush up on your knowledge of AI applications in commercial strategies, and be ready to discuss how you can leverage customer data to drive business value.
✨Showcase Your Leadership Skills
As a potential Head of Data Science, it’s crucial to demonstrate your leadership abilities. Prepare examples of how you've successfully led teams in the past, particularly in high-pressure situations. Highlight your experience in mentoring others and driving projects to completion.
✨Understand the Company’s Vision
Research the company’s current data monetization strategies and AI initiatives. Be prepared to discuss how your vision aligns with theirs and how you can contribute to their strategic direction. This shows that you’re not just interested in the role, but also in the company’s future.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you’ve faced in online retail and how you overcame them using data-driven decisions. Practising these scenarios will help you articulate your thought process clearly during the interview.
