Football Quant: Predictive Modelling & Research in City of London

Football Quant: Predictive Modelling & Research in City of London

City of London Full-Time 30150 - 36850 £ / year (est.) On-site
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At a Glance

  • Tasks: Translate research models into code and produce accurate football betting predictions.
  • Company: Smartodds Ltd, a forward-thinking company in North London.
  • Benefits: Autonomy over your ideas, skill development time, and career progression opportunities.
  • Other info: Structured framework with a focus on rigorous statistics and reproducible research.
  • Why this job: Join a passionate team and make an impact in the exciting world of football analytics.
  • Qualifications: Strong quantitative skills and a passion for football.

The predicted salary is between 30150 - 36850 £ per year.

Smartodds Ltd is seeking a Quantitative Analyst - Football to join our North London team.

You will translate research models into deployable code, produce accurate predictions for football betting markets, and collaborate with a team that values rigorous statistics and reproducible research.

You will work within a structured framework, have autonomy over your ideas from concept to validation, and benefit from dedicated time for skill development and progression into more senior roles.

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Football Quant: Predictive Modelling & Research in City of London employer: Smartodds Ltd

Smartodds Ltd is an attractive employer due to its emphasis on professional growth and skill development. Employees enjoy autonomy in their projects and have clear pathways for advancement within the company. The collaborative environment fosters innovation and rigorous research practices.

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Contact Details:

Smartodds Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Football Quant: Predictive Modelling & Research in City of London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Smartodds Ltd!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Football Quant: Predictive Modelling & Research at Smartodds Ltd.

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Smartodds Ltd.

✨Apply Directly through Our Website

When you find a suitable opening like Football Quant: Predictive Modelling & Research at Smartodds Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Football Quant: Predictive Modelling & Research in City of London

Quantitative Analysis
Predictive Modelling
Statistical Analysis
Research Skills
Coding Skills
Football Market Knowledge
Collaboration

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Smartodds Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Smartodds Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Smartodds Ltd

✨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!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Smartodds Ltd!

✨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.