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- Tasks: Develop data science solutions using Python and solve analytical problems with stakeholders.
- Company: Oscar, a forward-thinking company based in Nottingham.
- Benefits: 25 days holiday, yearly bonus, contributory pension, and hybrid working.
- Other info: Enjoy a flexible work environment with great career growth potential.
- Why this job: Join a dynamic team and make an impact with your data science skills.
- Qualifications: Minimum 3 years experience in Python, statistics, and machine learning.
The predicted salary is between 40000 - 50000 £ per year.
Oscar is seeking a mid-level Data Scientist to join their team in Nottingham. The role involves developing data science solutions using Python and engaging with stakeholders to tackle analytical problems.
A minimum of 3 years of experience is required, along with strong skills in Python, statistics, and machine learning.
The position allows for hybrid working with 2 days a month in the office, and offers 25 days of holiday plus benefits like a yearly bonus scheme and contributory pension.
Hybrid Data Scientist: Python ML & Insights in Nottingham employer: Oscar
Contact Detail:
Oscar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist: Python ML & Insights in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Oscar on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects and machine learning models. This will help us demonstrate our expertise and make a lasting impression during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on statistics and ML concepts. We can use platforms like LeetCode or HackerRank to sharpen our coding skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our experience aligns with Oscar's needs.
We think you need these skills to ace Hybrid Data Scientist: Python ML & Insights in Nottingham
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world projects, especially in machine learning and data analysis.
Engage with Stakeholders: Since the role involves working with stakeholders, share examples of how you've communicated complex data insights to non-technical audiences. This will show us that you can bridge the gap between data and decision-making.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills 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 Oscar
✨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, and maybe even solve a coding challenge on the spot. Practising common data manipulation tasks can really help you shine.
✨Showcase Your Analytical Mindset
Prepare to talk about past projects where you tackled analytical problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate how you approach problem-solving and the impact of your work.
✨Engage with Stakeholders
Since the role involves engaging with stakeholders, think of examples where you've successfully communicated complex data insights to non-technical audiences. Highlight your ability to translate data findings into actionable recommendations that drive business decisions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.