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- Tasks: Join our team to design and implement cutting-edge machine learning models for sports betting analytics.
- Company: Longshot Systems is a dynamic company focused on revolutionising sports betting through advanced analytics.
- Benefits: Enjoy hybrid working, flexible hours, private healthcare, gym membership, and an uncapped bonus scheme.
- Why this job: Be part of a small team where your ideas directly impact profitability and learn from industry experts.
- Qualifications: PhD or research Masters in a quantitative field and experience with Python and tabular data modelling required.
- Other info: We sponsor candidates needing a visa and support a creative, autonomous work environment.
The predicted salary is between 28800 - 48000 £ per year.
At Longshot Systems we\’re building advanced platforms for sports betting analytics and trading.
We\’re hiring Graduate Machine Learning Researchers for our quantitative modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements on our models directly impact company success.
You will design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company and so the role suits someone who wants to be involved in all aspects of the R&D process, from high-level design through to production implementation and a keenness to learn from experienced industry experts.
The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you\’ll have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core statistics is very important for this role. Knowledge of sports betting isn\’t required.
We are a hybrid working company, working Thursdays in our London (Farringdon) office and remotely the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals.
Our interview process is as follows:
Intro call (30 mins) – your background + interests
Technical interview (60 mins) – modelling discussion + scenario questions
Full assessment day (9:30–5pm) – solving a real modelling problem using near-production-level data
Requirements
PhD or research Masters in a quantitative, technical subject (e.g. Maths, Physics, Machine Learning) from a top university
Experience modelling tabular data in Python
Benefits
Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience
10% matched pension contributions
Private healthcare insurance
Long term illness insurance
Gym membership
Choose your own hardware & setup for your development environment
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Graduate Machine Learning Researcher employer: Longshot Systems Ltd
Contact Detail:
Longshot Systems Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Machine Learning Researcher
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, especially those related to predictive modelling. This will not only help you during the technical interview but also demonstrate your genuine interest in the field and the role.
✨Tip Number 2
Prepare to discuss your previous projects in detail, particularly those involving Python and tabular data. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 3
Research Longshot Systems and their approach to sports betting analytics. Understanding their business model and how machine learning fits into their strategy will allow you to tailor your responses and show that you're a good fit for their team.
✨Tip Number 4
Practice explaining complex machine learning concepts in simple terms. Since you'll be working closely with the CEO and CTO, being able to communicate effectively with non-technical stakeholders is crucial for success in this role.
We think you need these skills to ace Graduate Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, Python programming, and any projects that demonstrate your ability to work with predictive models. Emphasise your mathematical understanding and any research experience.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your creative problem-solving skills and how you can contribute to improving their models. Mention your willingness to learn from industry experts.
Showcase Relevant Projects: If you have worked on any projects related to machine learning or data analysis, include them in your application. Provide links to your GitHub or any online portfolio where they can see your work in action.
Prepare for Technical Questions: Anticipate technical questions related to machine learning and statistics during the interview process. Brush up on key concepts and be ready to discuss your approach to modelling scenarios, as this will be crucial in demonstrating your expertise.
How to prepare for a job interview at Longshot Systems Ltd
✨Brush Up on Your Machine Learning Fundamentals
Make sure you have a solid understanding of the core concepts in machine learning and statistics. Be prepared to discuss algorithms, model evaluation metrics, and how you would approach improving predictive models based on historical data.
✨Showcase Your Problem-Solving Skills
During the technical interview, be ready to tackle modelling scenarios. Think aloud as you work through problems, demonstrating your thought process and creativity in generating innovative solutions.
✨Familiarise Yourself with Python
Since the role involves implementing models in Python, ensure you're comfortable coding in this language. Brush up on libraries commonly used in machine learning, such as scikit-learn and pandas, and be ready to discuss your previous projects.
✨Express Your Enthusiasm for R&D
Longshot Systems values candidates who are eager to learn and contribute to all aspects of the R&D process. Share examples of how you've taken initiative in past projects and express your excitement about working closely with experienced industry experts.
