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 extra holiday options.
- Other info: Hybrid role with great career growth and company events.
- Why this job: Make an impact in trading while working with data and sports you love.
- 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 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 employer: Pythiasports
Pythia Sports is an exceptional employer for graduates seeking to launch their careers in data science and trading. With a vibrant work culture that encourages creativity and innovation, employees benefit from comprehensive support including generous leave policies, private medical insurance, and opportunities for professional growth. The hybrid working model allows for flexibility while fostering collaboration in our London Victoria office, making it an ideal environment for those passionate about sports and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Data Scientist Graduate
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the trading and data science fields. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive models or data analysis. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common data science problems and be ready to explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Trading Data Scientist Graduate
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!
Tailor Your Application:Don’t just send a generic CV and cover letter. Take the time to tailor your application to Pythia Sports and the Trading Data Scientist role. We love seeing candidates who are genuinely interested in what we do!
Be Creative:This role is all about creative thinking! Don’t be afraid to showcase any unique projects or ideas you’ve had in the past. We appreciate innovative minds that can think outside the box.
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 us!
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.
✨Show Off Your Python Skills
Since Python is a key requirement for this role, make sure you brush up on your coding skills. Be prepared to discuss any projects where you've used Python for statistical analysis or machine learning. If possible, bring along a portfolio or examples of your work to demonstrate your hands-on experience.
✨Familiarise Yourself with Trading Concepts
Even if you're new to trading, having a basic understanding of how automated trading strategies work will set you apart. Research common trading metrics and strategies, and be ready to discuss how you would approach developing a predictive model for sports events.
✨Prepare Questions About the Role
Interviews are a two-way street, so come armed with thoughtful questions about the team and the projects you'll be working on. This shows your genuine interest in the role and helps you gauge if it's the right fit for you. Ask about their current trading strategies or how they validate their models.
