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- Tasks: Develop innovative tools for sports betting using Python and machine learning.
- Company: Exciting startup in the sports betting industry with a focus on technology.
- Benefits: Performance-based bonuses, 30 days holiday, and a collaborative work environment.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of sports analytics.
- Qualifications: 2+ years Python experience and strong OOP skills in trading or banking.
- Other info: Opportunity to enhance your career in a rapidly growing sector.
The predicted salary is between 50000 - 60000 £ per year.
Python Engineer is required for a successful startup delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights.
As Python Engineer you will need:
- 2+ years experience in Python development and OOP experience within trading & banking sector
- Ability to write clean, maintainable and well-structured Python code using OOP principles
- Develop internal tools and systems to support traders, including automation scripts and web-based control consoles
- Build and maintain end-to-end sports data pipelines, covering data scraping, data cleaning, transformation, and reliable data storage
- Monitor, investigate, and troubleshoot data quality issues, such as missing, inconsistent, or duplicated records
- Maintain and enhance existing software projects, improving stability, performance, and usability over time
- Analyse sports betting data and communicate actionable insights to traders and other non-technical users
- Collaborate closely with users and stakeholders to understand requirements, propose solutions, and deliver high-quality features
Performance-based bonus scheme
30 days of holiday (exclusive of bank holidays)
Contract Python Developer in London employer: Venture Up
Contact Detail:
Venture Up Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Python Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports betting and tech scene on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a GitHub repo with some of your best Python projects, especially those related to data pipelines or automation. This gives potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your OOP principles and data handling techniques. Be ready to discuss how you've tackled data quality issues in the past and how you can contribute to building robust systems for traders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Contract Python Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development experience, especially in the trading and banking sector. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Showcase Your Code: If you have a GitHub or similar portfolio, include it! We love seeing clean, maintainable code that follows OOP principles. It gives us a real sense of your coding style and capabilities.
Be Clear and Concise: When writing your cover letter, get straight to the point. Explain why you’re a great fit for the role and how your experience can help us deliver innovative solutions in the sports betting industry.
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 Venture Up
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially OOP principles. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios, particularly in trading or banking.
✨Showcase Your Analytical Skills
Prepare to talk about how you've used data analysis in previous roles. Think of specific examples where you've interpreted complex data sets and communicated insights effectively to non-technical users.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle some coding challenges during the interview. Practice writing clean, maintainable code and be prepared to explain your thought process as you solve problems, especially those related to data quality issues.
✨Engage with Stakeholders
Highlight your experience collaborating with users and stakeholders. Prepare to discuss how you've gathered requirements and proposed solutions in past projects, showing that you can deliver high-quality features that meet user needs.