Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create data models that enhance pricing strategies and customer experiences.
- Company: Top UK retailer focused on data-driven innovation.
- Benefits: Competitive salary, employee discounts, and personal development opportunities.
- Why this job: Shape the future of retail with impactful data solutions.
- Qualifications: Experience in Python, SQL, and data analytics.
- Other info: Collaborative environment with exciting career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK retailer is seeking a Data Scientist to embed data-driven thinking across the business. The role involves delivering impactful models that shape pricing and customer experience. You will lead end-to-end projects, utilizing Python, SQL, Databricks, and Power BI. Collaboration with stakeholders is vital to ensure solutions are embedded in strategic workflows.
A competitive salary and benefits package, including employee discounts and personal development opportunities, are offered.
Hybrid Data Scientist — Pricing & Customer Analytics employer: Halfords Group PLC
Contact Detail:
Halfords Group PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist — Pricing & Customer Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insights that might just set you apart from other candidates.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and analytics projects. Use platforms like GitHub to share your work with potential employers, demonstrating your expertise in Python, SQL, and Power BI.
✨Tip Number 3
Prepare for the interview by understanding the company's pricing strategies and customer analytics. Bring examples of how you've used data to drive decisions in past roles, and be ready to discuss how you can contribute to their goals.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Hybrid Data Scientist — Pricing & Customer Analytics
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and any relevant tools like Databricks and Power BI. We want to see how you can use these skills to deliver impactful models that shape pricing and customer experience.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your background aligns with the role. Mention specific projects where you've led end-to-end processes and collaborated with stakeholders.
Be Data-Driven: Since we’re all about data-driven thinking, include examples of how your analytical mindset has led to successful outcomes in previous roles. Show us how you can embed this thinking across the business!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on board with our team!
How to prepare for a job interview at Halfords Group PLC
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, Databricks, and Power BI. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Showcase Your Project Experience
Prepare to talk about specific end-to-end projects you've led. Highlight how your models have impacted pricing strategies or enhanced customer experiences. Use concrete examples to illustrate your problem-solving skills and the value you brought to previous employers.
✨Emphasise Collaboration Skills
Since collaboration with stakeholders is key, think of examples where you successfully worked with others to implement data-driven solutions. Be ready to discuss how you communicate complex data insights to non-technical team members, as this will demonstrate your ability to embed solutions into strategic workflows.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data analytics and how they envision the role of a Data Scientist in shaping their pricing and customer experience. This shows your genuine interest in the position and helps you assess if the company aligns with your career goals.
