Founding Data Scientist, Pricing AI for Banks

Founding Data Scientist, Pricing AI for Banks

Full-Time 50000 - 65000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Shape pricing intelligence by developing innovative pricing models and engaging with clients.
  • Company: A dynamic B2B SaaS firm focused on transforming banking with AI.
  • Benefits: Competitive salary, profit-share scheme, and flexible working hours.
  • Other info: Exciting opportunity for growth in a fast-paced environment.
  • Why this job: Join a high-impact role and make a difference in the banking sector.
  • Qualifications: Quantitative background and experience in data science with large datasets.

The predicted salary is between 50000 - 65000 € per year.

A growing B2B SaaS firm is seeking a Data Scientist to shape its pricing intelligence platform. This high-impact role involves developing pricing models and engaging with clients to maximize business outcomes.

The ideal candidate will have a quantitative background, experience in data science, and be comfortable working with large datasets.

Competitive salary, profit-share scheme, and flexible working hours offered.

Founding Data Scientist, Pricing AI for Banks employer: Clariti AI

Join a dynamic B2B SaaS firm that values innovation and collaboration, where as a Founding Data Scientist, you will play a pivotal role in shaping our pricing intelligence platform. Enjoy a competitive salary, profit-share scheme, and flexible working hours, all within a supportive work culture that prioritises employee growth and development, making it an excellent place for those seeking meaningful and rewarding employment.

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Contact Detail:

Clariti AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding Data Scientist, Pricing AI for Banks

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working in B2B SaaS or data science. A friendly chat can lead to opportunities you might not find on job boards.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate how you can shape pricing intelligence and make an impact.

Tip Number 3

Prepare for interviews by brushing up on your quantitative skills and understanding of pricing strategies. Be ready to discuss how you can engage with clients and drive business outcomes.

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 are proactive about their job search.

We think you need these skills to ace Founding Data Scientist, Pricing AI for Banks

Data Science
Pricing Models Development
Quantitative Analysis
Large Dataset Management
Client Engagement
Business Outcome Maximisation
Statistical Modelling

Some tips for your application 🫡

Show Off Your Skills:When you're writing your application, make sure to highlight your quantitative background and any relevant experience in data science. We want to see how your skills can shape our pricing intelligence platform!

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Founding Data Scientist role. It shows us you’re genuinely interested in joining our team.

Engage with Our Mission:In your application, let us know why you’re excited about working with banks and how you can help maximise business outcomes. We love seeing candidates who resonate with our mission and values!

Apply Through Our Website:Make sure to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at Clariti AI

Know Your Data Science Fundamentals

Brush up on your data science principles, especially those related to pricing models. Be ready to discuss your experience with large datasets and how you've applied quantitative methods in previous roles.

Showcase Your Problem-Solving Skills

Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach developing a pricing model for a specific client and be ready to explain your thought process clearly.

Engage with Real-World Examples

Bring examples from your past work that demonstrate your impact on business outcomes. Discuss how your data-driven decisions have led to successful pricing strategies or improved client relationships.

Ask Insightful Questions

Prepare thoughtful questions about the company's pricing intelligence platform and its clients. This shows your genuine interest in the role and helps you understand how you can contribute to their success.