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- Tasks: Lead data science initiatives and create impactful analytics and machine learning applications.
- Company: Join Halfords, a forward-thinking company committed to diversity and inclusion.
- Benefits: Enjoy a hybrid work model, professional development opportunities, and a supportive environment.
- Other info: Be part of a dynamic team at our Redditch Support Centre.
- Why this job: Shape the future of data science and drive real business impact with your insights.
- Qualifications: Proven experience in data science and strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
Halfords is seeking a Head of Data Science to define and lead the data science vision, prioritizing impactful analytics and machine learning applications. This role requires translating complex data into clear narratives, partnering with Data Engineering for robust model development, and ensuring outputs drive business decisions.
The position is hybrid, located at the Support Centre in Redditch, Worcestershire, with a commitment to diversity, inclusion, and professional development.
Head of Data Science - Scale AI & Drive Impact (Hybrid) employer: Halfords
Contact Detail:
Halfords Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science - Scale AI & Drive Impact (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the data science field, especially those at Halfords. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data science projects. Make sure to highlight how your work has driven business impact – that's what they want to see!
✨Tip Number 3
Get ready for the interview! Brush up on your technical skills and be prepared to discuss how you would translate complex data into clear narratives. Practice makes perfect, so run through some mock interviews with friends.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your talents directly to us. Plus, it shows you're genuinely interested in joining the team at Halfords.
We think you need these skills to ace Head of Data Science - Scale AI & Drive Impact (Hybrid)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science! Share specific examples of how you've used analytics and machine learning to drive impact in previous roles. This will help us understand your vision and commitment to the field.
Keep It Clear and Concise: We love a good narrative, but make sure your application is easy to read. Use clear language and avoid jargon where possible. Remember, we want to see how you can translate complex data into straightforward insights!
Highlight Collaboration Skills: Since this role involves partnering with Data Engineering, be sure to mention any experience you have working in cross-functional teams. We value collaboration, so share how you've successfully worked with others to achieve common goals.
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. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Halfords
✨Understand the Company’s Vision
Before your interview, dive deep into Halfords' mission and values. Familiarise yourself with their approach to data science and how they leverage analytics and machine learning. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Prepare Your Data Narratives
Since the role involves translating complex data into clear narratives, think of examples from your past work where you've done this successfully. Be ready to discuss specific projects where your insights led to impactful business decisions, showcasing your ability to communicate effectively.
✨Collaborate with Data Engineering
Highlight your experience working alongside data engineering teams. Prepare to discuss how you’ve partnered with engineers to develop robust models. This shows that you understand the importance of collaboration in delivering successful data science projects.
✨Emphasise Diversity and Inclusion
Halfords is committed to diversity and inclusion, so be prepared to discuss how you’ve fostered an inclusive environment in your previous roles. Share examples of how diverse perspectives have enhanced your data science projects, demonstrating your alignment with their values.