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- Tasks: Create data models and tools to boost pricing strategies and performance.
- Company: Global IT solutions provider with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on business growth.
- Qualifications: Experience in data science, Python or R skills, and machine learning knowledge.
- Other info: Collaborative environment with strong potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A global IT solutions provider is seeking a Data Scientist to join their Growth Strategy & Deal Operations team. You will develop data models and decision intelligence tools to enhance pricing, governance, and performance.
Applicants should have extensive experience in data science, proficiency in Python or R, and familiarity with machine learning techniques. This hands-on role requires analytical strength and effective communication skills to convey complex insights clearly.
Pricing & Growth Data Scientist employer: SHI Corporation UK Limited
Contact Detail:
SHI Corporation UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing & Growth Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees in the Growth Strategy & Deal Operations team on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models and decision intelligence tools. This hands-on evidence of your expertise in Python or R will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your analytical and communication skills by explaining complex data insights to friends or family. The clearer you can convey your thoughts, the better you'll perform in interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Pricing & Growth Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python or R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Pricing & Growth Data Scientist role and how your analytical skills can contribute to our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since this role involves conveying complex insights, make sure to demonstrate your ability to communicate clearly in your application. Whether it’s through your CV or cover letter, clarity is key!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at SHI Corporation UK Limited
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around pricing models and machine learning techniques. Be ready to discuss specific projects where you've applied Python or R to solve real-world problems.
✨Show Off Your Analytical Skills
Prepare to showcase your analytical strength by discussing how you've used data to drive decisions in previous roles. Think of examples where your insights led to improved performance or governance, and be ready to explain your thought process.
✨Communicate Clearly
Since this role requires effective communication, practice explaining complex data concepts in simple terms. You might be asked to present a past project, so ensure you can convey your findings clearly and confidently.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s growth strategy. Inquire about their current challenges in pricing or how they leverage data science in decision-making. This shows you're engaged and thinking critically about the role.
