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For Companies At a Glance
- Tasks: Analyse data and develop insights to drive marketing strategies.
- Company: Dynamic company in Nottingham with a focus on innovation.
- Benefits: Up to £60,000 salary, hybrid work, and career growth opportunities.
- Other info: Flexible work pattern with only two office days a month.
- Why this job: Join a close-knit team and make a real impact in marketing.
- Qualifications: Strong Python skills and experience in data analysis.
The predicted salary is between 60000 - 60000 £ per year.
Location - Nottingham
Work pattern - Hybrid - 2 times a month in the office.
Salary - Up to £60,000
The Opportunity
We are seeking a mid-level Data Scientist with strong experience in Python for a new role in Nottingham. You will be part of a small, but close team that covers Data Science, Business Intelligence and Analytics.
Marketing Data Scientist employer: Oscar Associates (UK) Limited
Contact Detail:
Oscar Associates (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your Python skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your previous job, having tangible examples of your work can really impress interviewers. Make sure to have them ready to discuss.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Marketing Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant data science projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity at StudySmarter and how you can contribute to our team. Keep it engaging and personal.
Showcase Your Team Spirit: Since we’re a small, close-knit team, it’s important to demonstrate your ability to collaborate. Share examples of how you’ve worked effectively in teams before, especially in data-driven projects.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Oscar Associates (UK) Limited
✨Know Your Python Inside Out
As a Marketing Data Scientist, you'll need to showcase your Python skills. Brush up on libraries like Pandas and NumPy, and be ready to discuss how you've used them in past projects. We recommend preparing a couple of examples where your coding made a significant impact.
✨Understand the Business Side
It's not just about the data; it's about how it drives business decisions. Familiarise yourself with the company's marketing strategies and think about how data science can enhance those efforts. We suggest preparing questions that show your interest in their business model and how you can contribute.
✨Prepare for Technical Questions
Expect some technical questions during the interview. We advise practising common data science problems and algorithms. You might also want to review case studies relevant to marketing analytics, as they could come up in conversation.
✨Showcase Your Team Spirit
Since you'll be part of a small team, demonstrating your ability to collaborate is key. We suggest sharing experiences where you've worked closely with others, especially in hybrid settings. Highlight how you communicate and share insights with teammates, even when working remotely.