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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 while collaborating with top executives in a dynamic environment.
- Qualifications: Strong maths background in Machine Learning and Statistics; research experience required.
- Other info: Work autonomously on exciting projects and explore new research methods.
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
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Researcher - Sports Betting/Trading (London Area)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly those relevant to 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
Network with professionals in the sports analytics and machine learning community. Attend relevant meetups or webinars to connect with others in the industry, which could lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss your previous research projects in detail, especially those that involved innovative machine learning models. Be ready to explain your thought process and the impact of your work on the outcomes.
✨Tip Number 4
Stay updated on the latest statistical methods and their applications in predictive modelling. Being able to articulate how these methods can enhance existing models will set you apart during the assessment day.
We think you need these skills to ace Senior Machine Learning Researcher - Sports Betting/Trading (London Area)
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 are familiar 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: Familiarise yourself with common machine learning algorithms and statistical methods. Be ready to discuss your thought process and problem-solving approach during the online assessment and technical interview.
How to prepare for a job interview at Placed
✨Brush Up on Your Maths and Statistics
Given the strong mathematical understanding required for this role, make sure you can confidently discuss key concepts in machine learning and statistics. Be prepared to explain how these fundamentals apply to your previous work or research.
✨Showcase Your Research Experience
Highlight any cutting-edge models you've worked on, whether in industry or academia. Be ready to discuss specific projects, the challenges you faced, and how you overcame them. This will demonstrate your capability and passion for innovation.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in machine learning, especially those relevant to sports betting and trading. Being able to discuss recent papers or breakthroughs will show your enthusiasm and commitment to continuous learning.
✨Prepare for Technical Questions
Expect technical questions during the interview process. Practice explaining your thought process when designing and implementing ML models. Use examples from your past experiences to illustrate your problem-solving skills and autonomy in research.
