Quantitative Sports Betting Internship — World Cup 2026 and Royal Ascot (Four Weeks)

Quantitative Sports Betting Internship — World Cup 2026 and Royal Ascot (Four Weeks)

Internship 60000 - 80000 £ / year (est.) No working from home possible
LEC AI

At a Glance

  • Tasks: Work on an AI model for sports betting during the World Cup and Royal Ascot.
  • Company: Join a cutting-edge team in Knightsbridge, London.
  • Benefits: Earn £2,000 for four weeks of hands-on experience.
  • Other info: Fast-paced environment with direct mentorship from the founder.
  • Why this job: Dive into real-time betting and sharpen your skills with industry experts.
  • Qualifications: Strong background in quantitative subjects and knowledge of betting markets.

The predicted salary is between 60000 - 80000 £ per year.

We are building an AI driven model that prices sports betting markets and finds where the market is wrong, and we are offering a four week internship to work on it through the two biggest events of the summer, the World Cup and Royal Ascot, betting live as we go. This is a serious, hands on internship, not a watching brief, and it starts straight away.

What you will be working on:

  • Working directly with our Principal AI Architect and our AI engineers to refine the model for the World Cup and Royal Ascot in real time.
  • Helping decide what we build and bet, pointing us at where the books are mispriced and why.
  • Identifying which markets and which same game combinations carry the real edge.
  • Telling us what data we need to price them, and helping prove we are beating the market rather than matching it.
  • Sitting between the betting knowledge and the model, sharpening it game by game and race by race.
  • Learning a huge amount, fast, at the heart of a live build.

Who you are:

  • You know betting markets inside out, both football and horse racing.
  • You understand how books and exchanges price, margins, same game correlation, value and closing line value, staking and bankroll.
  • You are exceptionally quantitative; probability, modelling, expected value and calibration are second nature.
  • You have a strong degree, or are studying toward one, in a highly numerate subject such as Mathematics, Statistics, Physics, Economics, Econometrics, Computer Science, Engineering, Actuarial Science, Data Science or Operations Research, with an outstanding academic record.
  • You can show your edge is real, not theoretical, through a documented profit and loss, beating the closing line, a strong sports modelling project, or a public record.
  • You are comfortable with data and working next to engineers; some Python is a plus.
  • You guide and validate; you do not have to be the model builder.
  • You are fast, precise, and excited to work on something genuinely new.

The terms:

  • Starts Tuesday 16 June 2026.
  • Four weeks, five days a week, 9am to 6pm, on site at our office in Knightsbridge, London.
  • £2,000 for the internship, working directly with the founder on a live, fast moving build.

How to apply:

Send a short note on why you are right for this, plus anything that shows your betting and modelling track record, to talent@lecai.ai.

Quantitative Sports Betting Internship — World Cup 2026 and Royal Ascot (Four Weeks) employer: LEC AI

Join us for an exhilarating four-week Quantitative Sports Betting Internship in the heart of Knightsbridge, London, where you'll work directly with our Principal AI Architect and engineers on cutting-edge AI models for the World Cup and Royal Ascot. Our dynamic work culture fosters hands-on learning and rapid growth, offering you the unique opportunity to refine your skills in a live betting environment while being rewarded with a competitive stipend. With a focus on innovation and collaboration, we empower our interns to make impactful contributions and gain invaluable experience in the fast-paced world of sports betting.

LEC AI

Contact Details:

LEC AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Sports Betting Internship — World Cup 2026 and Royal Ascot (Four Weeks)

Join Data-Science Meetups

Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.

Utilise University Career Services

Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.

Show Off Your Stuff on GitHub

If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.

Apply Directly on Our Website

Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.

We think you need these skills to ace Quantitative Sports Betting Internship — World Cup 2026 and Royal Ascot (Four Weeks)

Knowledge of Betting Markets
Quantitative Analysis
Probability
Modelling
Expected Value Calculation
Data Analysis
Python Programming

Some tips for your application 🫡

Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!

Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at LEC AI will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!

Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!

Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!

How to prepare for a job interview at LEC AI

Brush Up on Your Coding Skills

As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.

Show Off Your Projects

Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress LEC AI.

Know Your Stats and ML Basics

Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.

Be Eager to Learn and Adapt

Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show LEC AI that you’re not just looking for experience, but that you're keen to contribute and grow within the team.