Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive innovation in sports betting analytics through advanced machine learning research.
- Company: Join a leading firm revolutionising sports betting with cutting-edge technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and generous perks.
- Why this job: Make a significant impact on the company's success while collaborating with top executives.
- Qualifications: Strong maths background in Machine Learning and Statistics; research experience required.
- Other info: Work autonomously on exciting R&D projects and explore new methodologies.
The predicted salary is between 80000 - 120000 £ per year.
We are working with a successful company focused on building advanced platforms for sports betting analytics and trading. They are looking for an ML/Quant researcher to join the team and drive innovation within the team. The quality of work you will be doing in this role is pivotal to the company and will have a high impact on their overall success.
ROLE:
- Improve the predictive power of existing models based on fundamental data.
- Work closely with the CEO, CTO, and Team Lead to design, test, and implement new ML models.
- Continually seek to improve existing state-of-the-art solutions.
- You will be involved in all aspects of the R&D process, from high-level design through to production implementation.
- High level of autonomy to research whichever methods you felt would be best suited to the problem at hand.
REQUIREMENTS:
- A strong mathematical understanding of the fundamentals of Machine Learning and core Statistics.
- Experience in doing research on cutting-edge models either in industry or academia.
- Passionate about learning new skills and techniques.
- Comfortable finding and reading academic papers to generate new research ideas.
PROCESS:
- Online assessment
- Technical interview
- Assessment day
Senior Machine Learning Researcher - Sports Betting/Trading employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Researcher - Sports Betting/Trading
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in the context of sports betting and trading. This will not only help you during the technical interview but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the community by attending relevant meetups or webinars focused on machine learning in finance and sports analytics. Networking can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous research projects in detail, especially those that involved innovative ML models. Be ready to explain your thought process and the impact of your work on the outcomes.
✨Tip Number 4
Stay updated with academic papers related to machine learning and sports analytics. Being able to reference recent studies or breakthroughs can set you apart and show your commitment to continuous learning.
We think you need these skills to ace Senior Machine Learning Researcher - Sports Betting/Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and statistics. Focus on projects or roles where you've improved predictive models or worked with advanced analytics, especially in sports betting or trading.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it applies to sports betting. Mention specific techniques or models you’ve worked with and how they can contribute to the company's goals.
Showcase Your Research Skills: Include examples of your research work, particularly any cutting-edge models you've developed or studied. Highlight your ability to read and interpret academic papers, as this is crucial for generating new ideas.
Prepare for Technical Assessments: Brush up on your technical skills and be ready to discuss your previous work in detail. Familiarise yourself with common machine learning algorithms and be prepared to explain your thought process during the assessment day.
How to prepare for a job interview at LinkedIn
✨Brush Up on Your Maths and Statistics
Given the role's emphasis on a strong mathematical understanding, make sure to review key concepts in machine learning and statistics. Be prepared to discuss how these fundamentals apply to your past projects and how they can enhance predictive models.
✨Showcase Your Research Experience
Highlight any research you've conducted on cutting-edge models, whether in industry or academia. Be ready to discuss specific projects, methodologies used, and the outcomes. This will demonstrate your capability to contribute to their R&D process.
✨Prepare for Technical Questions
Expect technical questions during the interview that assess your knowledge of machine learning algorithms and their applications. Practise explaining complex concepts clearly and concisely, as you may need to communicate these ideas to non-technical stakeholders.
✨Demonstrate Your Passion for Learning
Since the company values continuous learning, be prepared to discuss recent academic papers you've read or new techniques you've explored. This shows your enthusiasm for the field and your commitment to staying updated with the latest advancements.
