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- Tasks: Design and implement innovative machine learning models for sports betting analytics.
- Company: Join Longshot Systems, a cutting-edge company in sports betting technology.
- Benefits: Enjoy competitive salary, uncapped bonuses, private healthcare, and gym membership.
- Why this job: Make a real impact with your creativity in a dynamic R&D environment.
- Qualifications: PhD or research Masters in a quantitative subject and Python modelling experience.
- Other info: Flexible working hours and a supportive team culture await you.
The predicted salary is between 36000 - 60000 £ 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
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
Get your networking game on! Connect with professionals in the machine learning and sports analytics fields. Attend meetups, webinars, or even just reach out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews like a pro! Brush up on your modelling skills and be ready to discuss your past projects. We recommend practising common technical questions and scenarios related to machine learning. Show them you’re not just a candidate, but the candidate!
✨Tip Number 3
Don’t underestimate the power of a good portfolio. Showcase your projects, especially those involving Python and tabular data modelling. We want to see your creativity and problem-solving skills in action, so make sure your work stands out!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Longshot Systems. Let’s get you on board!
We think you need these skills to ace Graduate Machine Learning Researcher
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any machine learning models you've worked on. We want to see your creativity and problem-solving skills shine through in your application!
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor them to reflect how your background aligns with our focus on sports betting analytics and quantitative modelling. We love seeing candidates who take the time to connect their experiences to our mission.
Be Yourself: Let your personality come through in your written application. We’re a small, focused team, and we value authenticity. Share your passion for machine learning and any innovative ideas you have!
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 shows you’re keen to join our team!
How to prepare for a job interview at Longshot Systems Ltd
✨Know Your Models Inside Out
Make sure you’re well-versed in the machine learning models you’ve worked with. Be ready to discuss their strengths and weaknesses, and how you’ve applied them to real-world problems. This will show your depth of knowledge and ability to think critically about model performance.
✨Brush Up on Your Python Skills
Since you'll be implementing models in Python, it’s crucial to be comfortable with the language. Review libraries like Pandas, NumPy, and Scikit-learn, and be prepared to write code during the technical interview. Practising coding challenges can really help you feel more confident.
✨Prepare for Scenario Questions
During the technical interview, expect scenario-based questions that test your problem-solving skills. Think about how you would approach a modelling challenge using historical data. Practise articulating your thought process clearly, as this will demonstrate your analytical skills.
✨Show Your Passion for Learning
Longshot Systems values creativity and a willingness to learn. Be ready to share examples of how you’ve tackled new challenges or learned new techniques in the past. This will highlight your enthusiasm for the role and your fit within a small, innovative team.
