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- Tasks: Lead the creation of a cricket modelling desk and tackle unique challenges in cricket analytics.
- Company: Join a dynamic team focused on innovative sports analytics.
- Benefits: Flexible work schedule with 4 days onsite and 1 day remote.
- Why this job: Combine your passion for cricket with cutting-edge predictive modelling techniques.
- Qualifications: 4+ years in predictive modelling, machine learning, and advanced programming skills in Python.
- Other info: Collaborate with quants and analysts in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Lead Cricket Modeller
4 days onsite, 1 day wfh
About The Role
My client is searching for a Lead Cricket Modeller to spearhead the creation and launch of their cricket modelling desk. This role requires a mix of thorough analyses and innovative modelling to address unique challenges in cricket analytics, where traditional methods might need adaptation or inventing. You will have the freedom to explore and develop your own ideas, collaborating with a team of quants, developers, and analysts to blend technical expertise with sports knowledge.
Requirements
They are looking for smart, ambitious individuals who enjoy solving challenging problems and can make pragmatic decisions in a dynamic environment. You should have:
- Over four years of practical experience in predictive modelling, machine learning, and probability theory, ideally within the sports, gaming, or betting sectors.
- Proficiency in a range of techniques, including Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, Generalized Linear Models (GLMs), and time series forecasting. While you’re not expected to be an expert in every area, having a broad understanding of various methodologies and the trade-offs involved is vital.
- Advanced programming skills, with a preference for Python.
- Solid knowledge of SQL and relational databases.
- Demonstrated experience in working with new datasets, addressing data quality issues, and effectively managing imperfect data.
An excellent candidate will also:
- Understand and apply expected value and utility principles, both in evaluating betting scenarios and in prioritising projects or analyses
- Have a practical approach to problem-solving, balancing attention to detail with the ability to deliver MVPs quickly
- Be able to deliver projects independently, making informed and justifiable decisions, while also contributing effectively as part of a team
- Communicate complex models and analyses clearly to both technical and non-technical audiences
- Have an interest in cricket and sports analytics
Interested? Reach out to lucia.paolinelli@harringtonstarr.com
Lead Cricket Modeller employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Cricket Modeller
✨Tip Number 1
Network like a pro! Connect with people in the cricket analytics space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive modelling projects, especially those related to sports. This will give potential employers a taste of what you can bring to their cricket modelling desk.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Monte Carlo simulations and Bayesian modelling, as well as how you tackle data quality issues.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making connections and helping you land that dream job. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Lead Cricket Modeller
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in predictive modelling and machine learning. We want to see how your skills align with the requirements, so don’t hold back on showcasing your technical expertise!
Tailor Your Application: Take a moment to customise your application for the Lead Cricket Modeller role. Mention specific techniques you’ve used, like Monte Carlo simulations or Bayesian modelling, and how they relate to cricket analytics. This will help us see your fit for the role!
Keep It Clear and Concise: When writing your application, clarity is key! We appreciate well-structured responses that communicate your ideas effectively. Remember, we’re looking for someone who can explain complex concepts to both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Harrington Starr
✨Know Your Cricket Analytics
Make sure you brush up on your cricket knowledge and analytics techniques. Familiarise yourself with predictive modelling, machine learning, and the specific methodologies mentioned in the job description. Being able to discuss how these techniques apply to cricket will show your passion and expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about situations where you had to adapt traditional methods or invent new ones. This will demonstrate your ability to think critically and pragmatically, which is key for this role.
✨Demonstrate Technical Proficiency
Be ready to discuss your programming skills, especially in Python and SQL. You might be asked to solve a technical problem or explain a model you've built. Practising coding challenges or discussing past projects can help you feel more confident during the interview.
✨Communicate Clearly
Since you'll need to explain complex models to both technical and non-technical audiences, practice simplifying your explanations. Use analogies or straightforward language to convey your ideas. This will highlight your communication skills and ensure you're relatable to everyone on the team.
