Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science strategy and optimise pricing for enhanced customer experiences.
- Company: Pikl, a forward-thinking company focused on international expansion.
- Benefits: Flexible working conditions and opportunities for professional growth.
- Other info: Build a high-performing team in a supportive environment.
- Why this job: Join a dynamic team and make a real impact in data science.
- Qualifications: Significant experience in data science and expertise in Python/R.
The predicted salary is between 60000 - 80000 £ per year.
Pikl is seeking a Head of Data Science to lead its data science strategy and build a high-performing team in Norwich. This role requires hands-on data modeling and analytical problem-solving, focusing on optimizing pricing and enhancing customer experiences.
Candidates should have significant experience in data science, expertise in Python/R, and strong communication skills. The position offers flexible working conditions and opportunities for professional growth, aimed at contributing to Pikl's international expansion.
Hybrid Data Science Lead (Pricing & Strategy) in Norwich employer: Pikl
Contact Detail:
Pikl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Science Lead (Pricing & Strategy) in Norwich
✨Tip Number 1
Network like a pro! Reach out to people in the data science field, especially those at Pikl or similar companies. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects and analytical problem-solving abilities. This is your chance to demonstrate your expertise in Python/R and how you can optimise pricing strategies.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. You’ll need to explain complex data concepts clearly, so practice articulating your thoughts. Remember, it’s not just about what you know, but how you share it!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Hybrid Data Science Lead (Pricing & Strategy) in Norwich
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data science, especially with Python or R. We want to see how you've tackled analytical problems in the past, so don’t hold back on those examples!
Tailor Your Application: Take a moment to customise your application for the Hybrid Data Science Lead role. Mention how your skills align with optimising pricing and enhancing customer experiences, as these are key focuses for us at Pikl.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate strong communication skills, so make sure your ideas come across effectively without unnecessary fluff.
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’re considered for this exciting opportunity with Pikl!
How to prepare for a job interview at Pikl
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and R. Be ready to discuss your hands-on experience with data modelling and analytical problem-solving, as this will be crucial for the role.
✨Showcase Your Leadership Skills
Since this position involves leading a team, prepare examples of how you've successfully managed projects or teams in the past. Highlight your ability to build high-performing teams and foster collaboration.
✨Understand Pikl's Business Model
Do your homework on Pikl and its pricing strategies. Familiarise yourself with their customer experiences and think about how your data science expertise can enhance these areas. This shows genuine interest and strategic thinking.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you'll need to convey your ideas effectively to both technical and non-technical stakeholders.