At a Glance
- Tasks: Design and implement innovative machine learning solutions in sports analytics.
- Company: Join Longshot Systems, a leader in hybrid sports analytics.
- Benefits: Enjoy a flexible work environment with creative problem-solving opportunities.
- Other info: Collaborative team atmosphere with room for growth and creativity.
- Why this job: Make an impact in the exciting world of sports through cutting-edge technology.
- Qualifications: Strong background in Machine Learning or Mathematics; Kaggle experience is a plus.
The predicted salary is between 60000 - 80000 € per year.
Longshot Systems is looking for a Machine Learning Researcher to join their quantitative modelling team in Greater London. The candidate will design and implement cutting-edge machine learning solutions in a hybrid work environment, with a mix of remote and office work.
A strong background in quantitative subjects such as Machine Learning or Mathematics is essential. Additionally, familiarity with competitive modelling and Kaggle projects will be highly regarded.
The role offers a creative atmosphere and opportunities for innovative problem-solving.
Senior ML Researcher — Hybrid Sports Analytics & Trading employer: Longshot Systems
Longshot Systems is an exceptional employer that fosters a creative and innovative work culture, perfect for those passionate about machine learning and sports analytics. With a hybrid work model based in Greater London, employees enjoy the flexibility of remote work while collaborating with a talented team in a dynamic office environment. The company prioritises employee growth through continuous learning opportunities and encourages participation in exciting projects, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Researcher — Hybrid Sports Analytics & Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Longshot Systems. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got any cool projects on Kaggle or personal projects related to machine learning, make sure to highlight them in your conversations. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your quantitative skills. Be ready to discuss your approach to problem-solving and how you tackle complex machine learning challenges. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Longshot Systems.
We think you need these skills to ace Senior ML Researcher — Hybrid Sports Analytics & Trading
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in machine learning and quantitative modelling. We want to see how your background aligns with the role, so don’t hold back on showcasing your projects, especially any Kaggle competitions you've participated in!
Tailor Your Application:Take a moment to customise your application for this specific role. We love seeing candidates who understand our needs and can demonstrate how their skills will contribute to our team. A little effort goes a long way!
Be Creative:Since we’re all about innovative problem-solving, let your creativity shine through in your application. Share unique approaches you’ve taken in past projects or any out-of-the-box ideas you have for tackling challenges in sports analytics.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Longshot Systems
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss your understanding of various models, their applications, and any recent advancements in the field. This will show that you’re not just familiar with the basics but also engaged with the latest trends.
✨Showcase Your Projects
Prepare to talk about your previous work, especially any Kaggle projects or competitive modelling experiences. Highlight specific challenges you faced, how you approached them, and the outcomes. This gives a practical insight into your problem-solving skills and creativity.
✨Understand Their Business
Research Longshot Systems and their approach to sports analytics and trading. Familiarise yourself with their products and any recent news. This will help you tailor your answers to align with their goals and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the hybrid work model, and the types of projects you might be working on. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
