At a Glance
- Tasks: Analyse data and build machine learning models to drive business insights.
- Company: Oscar, a forward-thinking company based in Nottingham.
- Benefits: Hybrid work, yearly bonus, contributory pension scheme, and more.
- Other info: Flexible working with only 2 office days per month.
- Why this job: Join a dynamic team and make an impact with your data skills.
- Qualifications: 3+ years in data science, strong Python skills, and ML knowledge.
The predicted salary is between 40000 - 50000 € per year.
Oscar is looking for a mid-level Data Scientist to join their team in Nottingham. The ideal candidate will have at least 3 years of experience in data science, with strong proficiency in Python and a solid understanding of machine learning. The role involves working on various analytical and machine learning tasks, supporting production models, and engaging with stakeholders.
The position offers a hybrid working arrangement, with only 2 days a month required in the office, along with several benefits including a yearly bonus and a contributory pension scheme.
Hybrid Data Scientist - Python, ML for Business Insights in Nottingham employer: Oscar
Oscar is an excellent employer that fosters a collaborative and innovative work culture, ideal for mid-level Data Scientists looking to make a significant impact. With a hybrid working model that allows for flexibility, employees enjoy a supportive environment with opportunities for professional growth, competitive benefits including a yearly bonus and a contributory pension scheme, all while being part of a vibrant team in Nottingham.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Scientist - Python, ML for Business 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. We want to demonstrate how we can turn data into actionable insights that align with Oscar's goals.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on common data science questions and coding challenges. We can even do mock interviews with friends to build confidence.
✨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 the role at Oscar.
We think you need these skills to ace Hybrid Data Scientist - Python, ML for Business Insights in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, especially with Python and machine learning. 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 excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position and our company.
Showcase Your Analytical Skills:In your application, include examples of how you've tackled analytical challenges in the past. We’re looking for someone who can engage with stakeholders and support production models, so let us know how you’ve done this before!
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. Plus, we love seeing applications come in through our own platform!
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 you've used, like Pandas or Scikit-learn, and how you've applied them in real-world projects. This will show that you’re not just familiar with the language but can also leverage it effectively for data science tasks.
✨Showcase Your Machine Learning Knowledge
Prepare to talk about your experience with machine learning algorithms. Be ready to explain how you've implemented models in the past, the challenges you faced, and how you overcame them. This will demonstrate your practical understanding and ability to apply ML concepts to business insights.
✨Engage with Stakeholders
Since the role involves engaging with stakeholders, think of examples where you've successfully communicated complex data findings to non-technical audiences. Highlight your ability to translate data into actionable insights, as this is crucial for the position.
✨Embrace the Hybrid Work Culture
Familiarise yourself with the hybrid working model and be prepared to discuss how you manage your time and productivity in such an environment. Share any experiences you have with remote collaboration tools and how you maintain effective communication with your team, even when working from home.
