At a Glance
- Tasks: Transform sports data into winning strategies using advanced modelling and AI.
- Company: Join a leading sports data team passionate about football and cricket.
- Benefits: Enjoy competitive salary, healthcare, gym memberships, and flexible working.
- Other info: Collaborative culture with opportunities for growth and creativity.
- Why this job: Make an impact from day one while innovating in the sports industry.
- Qualifications: Experience in Python, modelling, and machine learning required.
The predicted salary is between 63000 - 77000 £ per year.
Join a leading sports data team (either focussed on football or cricket) and turn advanced quantitative research into profitable, real world competitive strategies. Combining deep modelling expertise, practical engineering skills and AI-native workflows, this is an opportunity to take ownership from raw data to live deployment and directly influence long term profitability!
- Python programming
- Proven experience building models that have generated profitability
- Deep expertise in probability, statistics and machine learning
- Hands-on experience using LLMs and/or coding agents across research, development, testing and debugging
Day-to-Day Duties (From research to live execution):
- Identify and validate competitive edges, turning research into profitable, deployable models and strategies
- Own the full modelling lifecycle, from raw data and feature engineering through backtesting, deployment and live monitoring
- Analyse strategy performance, diagnose underperformance and optimise profitability while accounting for risk and execution constraints
- Build and improve data pipelines, model services and trader tooling
- Collaborate with traders and engineers, presenting research and findings to drive continuous improvement
An impact from day one:
- Creative freedom to experiment and innovate
- Supportive, collaborative culture that encourages learning and growth
- A vibrant team culture with a shared passion for sports
- Access to the latest tools and technologies
- Family healthcare package, including private medical and dental insurance
- Life insurance and income protection
- Gym memberships and wellbeing subscriptions
- Enhanced annual leave
- Collaborative, flexible, hybrid working model
- Industry leading packages (competitive salary & bonus), plus an endless list of benefits
Football Cricket Modelling – Sports Quant / Data Scientist in London employer: Hadteg.com
Hadteg.com provides a unique opportunity for professionals in sports data science to engage in meaningful work that directly impacts profitability. The company fosters a collaborative culture where employees can thrive in a hybrid working model, utilizing advanced technologies in their projects.
StudySmarter Expert Advice🤫
We think this is how you could land Football Cricket Modelling – Sports Quant / Data Scientist in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Football Cricket Modelling – Sports Quant / Data Scientist 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!
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 Hadteg.com, 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 Hadteg.com. 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 Hadteg.com
✨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 Hadteg.com!
✨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.
