At a Glance
- 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, bonus scheme, private healthcare, and gym membership.
- Other info: Flexible working hours and a supportive team culture await you.
- 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.
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 in London employer: Longshot Systems
Longshot Systems is an exceptional employer for those passionate about machine learning and sports analytics, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from opportunities for professional growth through hands-on experience with cutting-edge technologies like Docker, Kubernetes, and cloud platforms, all while contributing to impactful projects in the fast-paced world of sports betting. Located in a vibrant tech hub, the company provides a stimulating environment where creativity and technical expertise thrive.
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We think this is how you could land Graduate Machine Learning Researcher in London
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We think you need these skills to ace Graduate Machine Learning Researcher in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Longshot Systems
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
