At a Glance
- Tasks: Develop visualisation tools using Python for a leading pharmaceutical company.
- Company: Major pharmaceutical company offering remote work opportunities.
- Benefits: Work outside IR35 with competitive pay and flexible hours.
- Why this job: Join a dynamic team and contribute to impactful data science projects.
- Qualifications: Experience in Python, AWS, and data visualisation tools like Dash or Seaborn.
- Other info: Great opportunity for career growth in a thriving industry.
The predicted salary is between 36000 - 60000 £ per year.
This is a fantastic opportunity to work as a Python Developer for a major pharmaceutical company, outside IR35.
The key skills required for this Python Developer role are:
- Python
- AWS
- Data science (numpy, pandas, scipy.stats and .spatial)
- Visualization (dash or seaborn)
If you do have the relevant experience for this Python Developer role, please do apply.
Python Developer - Visualisation - Remote - Outside IR35 employer: The Bridge IT Recruitment
Contact Detail:
The Bridge IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Visualisation - Remote - Outside IR35
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in pharmaceuticals or data science. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving data visualisation with libraries like Dash or Seaborn. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and data science knowledge. Practice coding challenges and be ready to discuss your experience with AWS and relevant libraries like NumPy and Pandas. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, we love seeing familiar faces, so let’s get you on board!
We think you need these skills to ace Python Developer - Visualisation - Remote - Outside IR35
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, AWS, and data science libraries like numpy and pandas. We want to see how your skills match the job description, so don’t hold back!
Visualisation Matters: Since this role focuses on visualisation, include any projects or experiences where you've used tools like Dash or Seaborn. We love seeing how you can turn data into insights!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention the pharmaceutical industry if you have relevant experience, as it shows us you're genuinely interested in this opportunity.
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 this exciting Python Developer position!
How to prepare for a job interview at The Bridge IT Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like NumPy, Pandas, and SciPy. Be ready to discuss how you've used these tools in past projects, as well as any visualisation techniques you've implemented using Dash or Seaborn.
✨Showcase Your Data Science Knowledge
Prepare to talk about your experience with data science concepts. Think of specific examples where you've applied statistical methods or data manipulation techniques. This will demonstrate your ability to handle complex datasets effectively.
✨Familiarise Yourself with AWS
Since the role involves AWS, make sure you understand its services relevant to data processing and visualisation. Be prepared to discuss how you've used AWS in previous roles or projects, and how it can enhance your work as a Python Developer.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's projects, team dynamics, or their approach to data visualisation. This shows your genuine interest in the role and helps you assess if it's the right fit for you.