At a Glance
- Tasks: Build and test innovative pricing models using advanced techniques and Python.
- Company: Arthur, a forward-thinking company in the heart of London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting role with a focus on innovation and data enrichment.
- Why this job: Join a dynamic team and revolutionise pricing strategies with your expertise.
- Qualifications: 2-8 years of experience in pricing and strong Python skills required.
The predicted salary is between 50000 - 65000 £ per year.
Arthur is seeking a Modelling Specialist / Pricing Data Scientist in the City of London. This role is aimed at enhancing their modelling capability through innovation, flexibility, and new techniques beyond traditional GLMs.
The position involves building and testing pricing models, integrating data enrichments, and requires strong Python skills along with GI pricing experience. Candidates should have 2–8 years of experience and possess strong academic credentials.
Pricing Data Scientist: Python & Advanced Modelling employer: Arthur
Arthur is an exceptional employer located in the vibrant City of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a strong focus on professional development, with ample opportunities for growth and advancement in the field of data science and pricing. The company's commitment to flexibility and cutting-edge techniques ensures that team members are always at the forefront of industry advancements, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Scientist: Python & Advanced Modelling
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and modelling techniques. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Pricing Data Scientist: Python & Advanced Modelling
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in building and testing models. Don't hold back on the details!
Demonstrate Your Modelling Experience:Since this role is all about enhancing modelling capabilities, share specific examples of your work with pricing models. We love seeing innovative approaches, so let us know how you've gone beyond traditional methods.
Tailor Your Application:Take a moment to customise your application for this role. Mention your experience with GI pricing and how it aligns with what we're looking for. A tailored application shows us you're genuinely interested!
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 from us. Plus, it’s super easy!
How to prepare for a job interview at Arthur
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries and frameworks you've used in your previous projects, especially those related to data modelling and analysis.
✨Showcase Your Modelling Experience
Prepare to talk about your experience with pricing models and any innovative techniques you've applied. Have examples ready that demonstrate how you've enhanced modelling capabilities in past roles, particularly if they go beyond traditional GLMs.
✨Understand the Business Context
Research Arthur and their approach to pricing strategies. Understanding their business model and how your role as a Pricing Data Scientist fits into their goals will show that you're genuinely interested and can contribute effectively.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their current modelling challenges or how they envision the future of pricing data science at Arthur. This shows your enthusiasm and strategic thinking.
