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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 on the company's success while working with top industry leaders.
- Qualifications: Strong maths background in Machine Learning and Statistics; research experience required.
- Other info: Collaborate closely with executives and have autonomy in your research approach.
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 (London Area) employer: Placed
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 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 sports betting community online. Join forums or social media groups where professionals discuss trends and challenges in the industry. This can provide you with insights that could be valuable during your assessment day.
✨Tip Number 3
Prepare to discuss specific projects or research you've conducted that relate to predictive modelling. Be ready to explain your thought process and the impact of your work, as this will showcase your expertise and problem-solving skills.
✨Tip Number 4
Network with current employees or alumni from the company if possible. Understanding their experiences and the company culture can give you an edge in interviews and help you tailor your approach to align with their values.
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, especially in the context of 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 analytics. Mention specific techniques or models you’ve worked with and how they relate to the role.
Showcase Your Research Skills: Include examples of your research work, particularly any cutting-edge models you've developed or contributed to. Highlight your ability to read and synthesise academic papers to generate innovative ideas.
Prepare for Technical Assessments: Brush up on your technical skills and be ready to discuss your approach to machine learning problems. Familiarise yourself with common assessment topics and practice coding challenges related to ML algorithms.
How to prepare for a job interview at Placed
✨Brush Up on Your Maths and Statistics
Given the role's emphasis on a strong mathematical understanding, make sure you're well-versed in the fundamentals of machine learning and core statistics. Be prepared to discuss specific algorithms and their applications in sports betting.
✨Showcase Your Research Experience
Highlight any previous research you've conducted, especially if it's related to cutting-edge models. Be ready to discuss your findings and how they can be applied to improve predictive models in sports betting.
✨Prepare for Technical Questions
Expect technical questions during the interview process. Brush up on your knowledge of machine learning frameworks and be ready to solve problems on the spot, demonstrating your thought process and approach to model development.
✨Demonstrate Your Passion for Learning
The company values candidates who are eager to learn new skills and techniques. Share examples of how you've pursued continuous learning, whether through academic papers, online courses, or personal projects related to machine learning.
