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- 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: Make a real impact by shaping business strategies with data insights.
- Qualifications: Experience in Python, SQL, and data analytics.
- Other info: Collaborative environment with exciting projects and 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 in England 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 in England
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni in similar roles. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models and analytics projects. This is your chance to demonstrate how you can deliver impactful solutions using Python, SQL, and Power BI.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data science questions and case studies. We want to be able to discuss how we can shape pricing and customer experience confidently.
✨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 Hybrid Data Scientist — Pricing & Customer Analytics in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data analytics. We want to see how your skills align with the role of a Data Scientist in pricing and customer analytics.
Showcase Your Projects: Include specific examples of projects you've led that demonstrate your ability to deliver impactful models. We love seeing how you've used data to shape decisions and improve customer experiences.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 technical skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your proficiency 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 different teams. Be ready to discuss how you ensured your data-driven solutions were integrated into strategic workflows, as this will demonstrate your ability to work effectively within a business context.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data science and how they envision the role contributing to their goals. This not only shows your interest but also gives you a chance to assess if the company aligns with your career aspirations.
