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- Tasks: Lead pricing strategies and data analysis to drive business growth.
- Company: Join a forward-thinking company focused on innovation and data-driven decisions.
- Benefits: Enjoy fully remote work, competitive salary, and flexible hours.
- Why this job: Be part of a dynamic team making impactful decisions in a fast-paced environment.
- Qualifications: Experience in data science and pricing strategies is essential.
- Other info: This is a new role, offering a chance to shape the future of pricing.
The predicted salary is between 60000 - 84000 ยฃ per year.
New role โ Pricing & Data Science Manager, (ยฃ100,000). ๐ ๐ฎ๐ฅ๐ฅ๐ฒ ๐ซ๐๐ฆ๐จ๐ญ๐ opportunity. Eames exclusive role.
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.
I am looking for candidates with Personal lines pricing and or/data science (within pricing/actuarial) experience for this great opportunity with a client with ambitious growth plans.
The role is fully remote (once a quarter visit to the office to see the team in London), and candidates must have the right to work in the UK to apply.
Please reach out for more details: rafaela.fakhre@eamesconsulting.com / 07456961050.
Remote working/work at home options are available for this role.
Pricing & Data Science Manager - Fully Remote employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice ๐คซ
We think this is how you could land Pricing & Data Science Manager - Fully Remote
โจTip Number 1
Familiarise yourself with the latest trends in pricing strategies and data science methodologies. This will not only help you during interviews but also show us that you're genuinely interested in the role.
โจTip Number 2
Network with professionals in the pricing and data science fields. Engaging with industry experts can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
โจTip Number 3
Prepare to discuss specific projects or experiences where you've successfully implemented pricing models or data analysis. We love to hear about real-world applications of your skills, so have examples ready to share.
โจTip Number 4
Stay updated on our companyโs recent developments and achievements. Demonstrating knowledge about StudySmarter during your conversations will show us that you're enthusiastic about joining our team.
We think you need these skills to ace Pricing & Data Science Manager - Fully Remote
Some tips for your application ๐ซก
Understand the Role: Take time to thoroughly read the job description for the Pricing & Data Science Manager position. Understand the key responsibilities and required skills, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in pricing strategies and data science. Use specific examples that demonstrate your expertise and how it aligns with the role.
Craft a Compelling Cover Letter: Write a personalised cover letter that showcases your passion for data science and pricing. Explain why you are interested in this role and how your background makes you a perfect fit.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Eames Consulting
โจUnderstand the Pricing Landscape
Familiarise yourself with current pricing strategies and trends in the industry. Be prepared to discuss how data science can enhance pricing models and provide examples of successful implementations.
โจShowcase Your Analytical Skills
Be ready to demonstrate your analytical thinking and problem-solving abilities. Prepare to discuss specific projects where you've used data analysis to drive pricing decisions or improve profitability.
โจCommunicate Clearly
As a manager, clear communication is key. Practice explaining complex data science concepts in simple terms, as you may need to convey insights to non-technical stakeholders during the interview.
โจPrepare Questions for Them
Have insightful questions ready about the company's pricing strategy and how they leverage data science. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
