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- Tasks: Enhance predictive models using historical data in a hands-on R&D role.
- Company: Dynamic sports analytics company based in Greater London.
- Benefits: Bonus scheme, matched pension, private healthcare, and gym membership.
- Why this job: Join a hybrid team and innovate in the exciting world of sports analytics.
- Qualifications: PhD or research Masters in a quantitative field with Python experience.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A sports analytics company in Greater London is seeking a Graduate Machine Learning Researcher to improve predictive models using historical event data. The ideal candidate will possess a PhD or research Masters in a quantitative subject and have experience modeling data in Python. You will join a hybrid working environment focused on innovation, with a hands-on role in R&D processes.
Benefits include:
- Participation in a bonus scheme
- Matched pension contributions
- Private healthcare
- Gym membership
Graduate ML Researcher: Hybrid Quant Modelling employer: Longshot Systems
Contact Detail:
Longshot Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate ML Researcher: Hybrid Quant Modelling
✨Tip Number 1
Network like a pro! Reach out to professionals in the sports analytics field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and any predictive models you've worked on. This is your chance to demonstrate your expertise and passion for machine learning.
✨Tip Number 3
Prepare for those interviews! Research common questions for ML roles and practice your responses. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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 Graduate ML Researcher: Hybrid Quant Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative subjects and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your projects or research that relate to predictive modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sports analytics and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Research Skills: Since we’re looking for someone with a strong research background, make sure to include any relevant publications or projects. We want to know how you’ve tackled complex problems and what methodologies you’ve used in your work.
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. Plus, it shows you’re keen to join our innovative team!
How to prepare for a job interview at Longshot Systems
✨Know Your Models
Make sure you brush up on your predictive modelling techniques. Be ready to discuss how you've used historical event data in your past projects, especially in Python. This will show your technical prowess and understanding of the role.
✨Show Your Passion for Sports Analytics
Since the company focuses on sports analytics, demonstrate your enthusiasm for the field. Share any relevant experiences or projects that highlight your interest in sports and how data can enhance performance.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when modelling data and be prepared to solve a problem on the spot. This will showcase your analytical skills and ability to think critically.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's R&D processes or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.