Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Implement Machine Learning models and collaborate with diverse teams on exciting banking projects.
- Company: May Business Consulting, a leader in international banking solutions.
- Benefits: Competitive salary tailored to your experience and expectations.
- Other info: Hybrid work model with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of banking with AI.
- Qualifications: Degree in quantitative fields and Python programming experience required.
The predicted salary is between 30000 - 40000 £ per year.
May Business Consulting busca un/a Junior Data Scientist para trabajar en proyectos internacionales en el sector bancario. La posición se enfoca en la implementación de modelos de Machine Learning y la colaboración con equipos multidisciplinares.
Los candidatos deben tener un grado en áreas cuantitativas y experiencia programando en Python, además de estar familiarizados con librerías como scikit-learn y frameworks de Deep Learning como PyTorch o TensorFlow.
Se ofrece un paquete retributivo adaptado a la experiencia y expectativas del candidato.
Junior Data Scientist – AI & Models for Banking (Hybrid) in Milton Keynes employer: May Business Consulting
Contact Detail:
May Business Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist – AI & Models for Banking (Hybrid) in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to professionals in the banking and AI sectors on LinkedIn. A friendly message can open doors and lead to referrals that might just land you that Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Machine Learning and Python. This is your chance to demonstrate your expertise with scikit-learn, PyTorch, or TensorFlow.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practising with friends or using mock interview platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Junior Data Scientist – AI & Models for Banking (Hybrid) in Milton Keynes
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with libraries like scikit-learn or frameworks like PyTorch and TensorFlow. We want to see how you can bring your quantitative background into the role!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Junior Data Scientist position. We love seeing candidates who take the time to connect their experiences to what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for data science shines through without unnecessary fluff!
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 our team!
How to prepare for a job interview at May Business Consulting
✨Know Your Tech
Make sure you brush up on your Python skills and get comfortable with libraries like scikit-learn, PyTorch, and TensorFlow. Be ready to discuss how you've used these tools in past projects or coursework.
✨Understand the Banking Sector
Familiarise yourself with current trends and challenges in the banking industry, especially related to AI and Machine Learning. This will help you demonstrate your interest and understanding of how your role fits into their projects.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving Machine Learning. Highlight your problem-solving approach and the impact of your work, as this will show your practical experience.
✨Ask Insightful Questions
Come prepared with questions that show your enthusiasm for the role and the company. Inquire about their current projects, team dynamics, or how they measure success in their data science initiatives.