At a Glance
- Tasks: Shape data science strategies and provide insights to drive business decisions.
- Company: Harding+, a forward-thinking company in Bristol focused on data and AI.
- Benefits: Competitive salary, bonuses, healthcare plans, and hybrid working options.
- Why this job: Directly influence innovative data use and AI strategies in a dynamic environment.
- Qualifications: Experience in data science with proficiency in Python or R and commercial metrics.
The predicted salary is between 60000 - 80000 € per year.
Harding+ is seeking a Lead Data Scientist to shape its data science function in Bristol. The role involves working with data to provide insights influencing business decisions across retail, operations, and customer experience.
Candidates should possess experience in data science, proficiency in Python or R, and a strong understanding of commercial metrics.
The position offers hybrid working and a competitive salary with attractive benefits, including bonuses and healthcare plans.
Join Harding+ to directly influence its innovative use of data and AI.
Lead Data Scientist — Shape AI Strategy & Growth (Hybrid) employer: Harding+
At Harding+, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Lead Data Scientist in Bristol, you will not only have the opportunity to shape our data strategy but also benefit from hybrid working arrangements, competitive salaries, and comprehensive healthcare plans. We are committed to your professional growth, offering numerous opportunities for development and innovation in the exciting field of data science and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist — Shape AI Strategy & Growth (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at Harding+ on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those using Python or R. This will help you stand out during interviews.
✨Tip Number 3
Research, research, research! Understand Harding+'s business model and how they use data to drive decisions. Tailor your insights to show how you can contribute to their growth.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Lead Data Scientist — Shape AI Strategy & Growth (Hybrid)
Some tips for your application 🫡
Show Your Data Science Skills:Make sure to highlight your experience in data science, especially with Python or R. We want to see how you've used these skills to drive insights and influence business decisions in your previous roles.
Understand the Business Impact:When writing your application, connect your technical expertise to commercial metrics. We’re looking for someone who can not only crunch numbers but also understand how those numbers affect retail, operations, and customer experience.
Tailor Your Application:Don’t just send a generic CV and cover letter. Take the time to tailor your application to Harding+ and this specific role. We love seeing candidates who show they’ve done their homework and understand our mission.
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 about the process!
How to prepare for a job interview at Harding+
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially in Python or R. Be ready to discuss your past projects and how you've used data to drive business decisions. This will show that you can directly influence Harding+'s innovative use of data.
✨Understand the Business Side
Since the role involves influencing business decisions, it’s crucial to have a solid grasp of commercial metrics. Familiarise yourself with how data impacts retail, operations, and customer experience. This will help you demonstrate your ability to shape AI strategy effectively.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems using data. Think about scenarios where you've had to analyse data to make strategic decisions. Practising these types of questions will help you articulate your thought process clearly during the interview.
✨Show Enthusiasm for Hybrid Work
With the role being hybrid, express your excitement about flexible working arrangements. Share how you’ve successfully managed remote work in the past and how you plan to stay connected with the team while working from home. This shows you're adaptable and ready to thrive in their work environment.
