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- Tasks: Develop AI-driven insights and build Machine Learning models from customer data.
- Company: Yaspa, a forward-thinking company in Greater London.
- Benefits: Flexible hybrid work, generous holiday allowance, and collaborative culture.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Join a team that leverages AI to transform open banking payments.
- Qualifications: Relevant degree and 5+ years of data science experience required.
The predicted salary is between 60000 - 80000 £ per year.
Yaspa in Greater London seeks a Data Scientist to develop AI-driven insights from customer transactional data. This role encompasses building Machine Learning models, collaborating with cross-functional teams, and deploying AI systems.
Applicants should have a relevant degree and 5+ years of experience in data science, alongside strong skills in Python, SQL, and statistical modeling.
Offering a flexible hybrid work environment, Yaspa promotes a collaborative culture with generous benefits including a generous holiday allowance.
Data Scientist — AI for Open Banking Payments in London employer: Yaspa
Contact Detail:
Yaspa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — AI for Open Banking Payments in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Yaspa. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Machine Learning models and any relevant projects. This is your chance to demonstrate your expertise in Python and SQL beyond just words on a CV.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on your statistical modelling knowledge and be prepared to discuss how you've used AI to solve real-world problems in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining Yaspa's collaborative culture.
We think you need these skills to ace Data Scientist — AI for Open Banking Payments in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python, SQL, and statistical modelling. 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 passionate about AI in open banking payments and how your background makes you a perfect fit for Yaspa. Let us know what excites you about this opportunity!
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action, so share those stories that demonstrate your ability to work well with diverse groups!
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 – just follow the prompts and let us see what you’ve got!
How to prepare for a job interview at Yaspa
✨Know Your Data Science Stuff
Make sure you brush up on your Python, SQL, and statistical modelling skills. Be ready to discuss specific projects where you've built Machine Learning models or derived insights from data. Having concrete examples will show that you can apply your knowledge in real-world scenarios.
✨Understand the Company and Role
Do your homework on Yaspa and their approach to AI in open banking payments. Familiarise yourself with their products and how they leverage data. This will help you tailor your answers and demonstrate your genuine interest in the role and the company.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, be prepared to discuss your experience collaborating with others. Think of examples where you successfully worked with different departments or stakeholders to achieve a common goal. Highlight your communication skills and adaptability.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the challenges they face in deploying AI systems, or how they measure success in their projects. This shows that you're not just interested in the job, but also in contributing to the team's success.