At a Glance
- Tasks: Conduct statistical analysis and develop predictive models for automated trading strategies.
- Company: Join Pythia Sports, a dynamic team in the sports trading industry.
- Benefits: Enjoy 28 days leave, private medical insurance, and company events.
- Other info: Hybrid role with great career growth and a fun, collaborative environment.
- Why this job: Make an impact in trading while working with data and sports.
- Qualifications: Recent grad or soon-to-be grad in Computer Science, Data Science, Math, or Stats.
The predicted salary is between 28000 - 38000 £ per year.
Pythia Sports are looking for a creative thinking and experienced graduate or final year student to join their in-house exchange trading team. The purpose of the role is to conduct statistical analysis of sports events, developing predictive models which can be used to create and refine automated trading strategies. This is a hybrid role with London Victoria office attendance expected twice a week.
Schedule: Monday to Friday
Recently graduated or graduating by summer 2026 with a good numerate degree.
- 28 days + 8 Bank Holidays leave
- Purchase up to 5 extra days of holiday/year
- Company events
- Cycle to work scheme
- Private medical insurance
- Optical and Dental cover
- Generous paternity and maternity leave
- Referral programme
- Company sick pay
Responsibilities:
- Develop a deep understanding of the data, its limitations and meaning, including the investigation of data validity.
- Build and analyse data-driven predictive trading models.
- Select or build model validation metrics to evaluate model performance.
- Develop automated trading strategies – backtesting, paper and production trading.
Key Skills / Qualifications:
- Fresh grad or graduating by summer 2026 with a solid Computer Science, Data Science, Math, or Stats degree.
- Hands-on experience with stats and machine learning.
- Good with Python and Message Queues.
- Experience in using SQL database.
- Familiar with both Windows and Linux.
- Proven track record of using data to solve tricky problems.
- It’s a big plus if you love sports, gambling, or trading.
Trading Data Scientist Graduate in London employer: Pythiasports
Pythia Sports is an exceptional employer that fosters a dynamic and innovative work culture, perfect for graduates eager to make their mark in the world of data science and trading. With a strong emphasis on employee growth, we offer comprehensive benefits including generous leave, private medical insurance, and opportunities for professional development, all within a vibrant London Victoria office environment. Join us to collaborate with like-minded individuals and contribute to cutting-edge predictive models that shape the future of automated trading strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Data Scientist Graduate in London
✨Tip Number 1
Get to know the company inside out! Research Pythia Sports, their trading strategies, and recent projects. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider tips or even a referral, which can give you a leg up in the application process.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects, especially those involving data analysis and predictive modelling.
✨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 that extra step to engage with us directly.
We think you need these skills to ace Trading Data Scientist Graduate in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and any stats or machine learning projects you've worked on. We want to see how you can apply your skills to the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your passion for sports and trading, and how your background makes you a perfect fit for our team at Pythia Sports.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key points stand out. This helps us see your potential quickly!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Pythiasports
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you might be working with. Understand its limitations and how it can impact predictive models. Being able to discuss specific examples of data analysis you've done will show your potential employer that you're ready to tackle real-world challenges.
✨Brush Up on Your Python Skills
Since Python is a key requirement for this role, make sure you're comfortable with it. Review any relevant projects or coursework where you've used Python for statistical analysis or machine learning. Be prepared to discuss your coding process and any challenges you faced while developing models.
✨Familiarise Yourself with Trading Strategies
Research different automated trading strategies and be ready to discuss them. If you have any personal experiences or insights into sports trading, share those! Showing genuine interest in the field can set you apart from other candidates.
✨Prepare Questions About the Role
Think of insightful questions to ask during the interview. This could be about the team dynamics, the tools they use, or how they measure success in their trading strategies. Asking thoughtful questions demonstrates your enthusiasm and helps you gauge if the company is the right fit for you.
