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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 grow your career while working on cutting-edge projects.
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)
Python Developer Contract in London employer: Venture Up
Contact Detail:
Venture Up Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer Contract in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports betting and tech industries on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your Python skills.
✨Tip Number 2
Showcase your projects! If you've built any tools or systems related to Python, make sure to highlight them in conversations. Having real examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your OOP principles and data pipeline processes. Practise coding challenges that focus on data manipulation and automation scripts to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Python Developers, and applying directly can give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Python Developer Contract in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python and OOP principles in your application. We want to see how you've used these skills in real-world scenarios, especially in trading or banking contexts.
Keep It Clean and Structured: When writing your application, aim for clarity and structure. Just like we value clean code, we appreciate a well-organised application that’s easy to read and understand.
Tailor Your Application: Don’t just send a generic application! Tailor it to the job description by mentioning specific projects or experiences that relate to sports data pipelines or automation scripts. This shows us you’re genuinely interested.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates!
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 stakeholders.
✨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 related to data pipelines or automation scripts.
✨Engage with the Team's Vision
Research the company and its innovative solutions in the sports betting industry. Show genuine interest in their work and be prepared to discuss how your skills can contribute to their goals and enhance their existing software projects.