At a Glance
- Tasks: Develop predictive models and conduct statistical analysis for cricket data.
- Company: Join Pythia Sports, a fast-growing tech company in sports modelling.
- Benefits: Enjoy 36 days holiday, private health insurance, and exciting development opportunities.
- Other info: Hybrid role with a vibrant culture and monthly social events.
- Why this job: Make an impact in cricket analytics while working with innovative technology.
- Qualifications: PhD or equivalent experience in data, strong Python skills, and team leadership.
The predicted salary is between 36000 - 60000 £ per year.
Pythia Sports are looking for a creative thinking and experienced person to join their established in-house modelling team as a Senior Data Scientist in cricket modelling and simulation. The purpose of the role is to develop, and conduct statistical analysis of, human-interpretable predictive models for a cricket prediction pipeline. Currently working hybrid from our central London office.
As a Senior Data Scientist you will:
- Have a deep understanding of the data, its limitations and meaning, including the investigation of data validity
- Uncover trends in multiple sports datasets
- Build and maintain data-driven predictive models
- Research and apply novel modelling techniques
- Build and maintain model validation metrics to regularly track performance
- Have awareness of the limitations of any model output
- Have an understanding of statistical robustness and validity
Key Skills / Qualifications:
- Multiple years experience in a team-leading role utilising advanced statistics and modelling techniques – preferably in a sporting context
- PhD or equivalent industry experience with data
- Strong programming skills, with a preference for Python
- A long and proven track record of using data to solve complex problems
- Experience working with cloud computing (desirable)
Attributes and experience that would also be a big plus:
- A keen interest in cricket, especially limited overs cricket
- Previous professional experience working with cricket analytics
The successful Senior Data Scientist will be an innovative, self-driven person with high levels of integrity. They will be working closely with local and remote teams and therefore need to be highly communicative, but also work well independently. They must be well organised and have the ability to handle multiple projects simultaneously. This is a hybrid role with London Victoria office attendance expected twice a week.
What to expect from the selection process:
- CV screening
- 1st interview with Modelling team
- Take home data challenge
- Final interview split between senior management team and Cricket team. All stages are eliminatory.
Pythia Sports is a fast growing technology company with a focus on predictive sports modelling and data collection. We focus on being the best at what we do and recognise that our success comes from having the best employees and keeping them happy. We pride ourselves on hiring talented, creative and free thinkers. Here you will find a relaxed atmosphere, monthly social events and amazing people! We also offer private health and dental insurance, cycle to work scheme, enhanced paternity and maternity leave, enhanced sick pay, 36 days holiday total allowance and exciting development opportunities. Pythia Sports employees are expected to embrace the company philosophy of integrity combined with innovation and cutting edge technology.
Senior Data Scientist - Cricket employer: Pythia Sports
Pythia Sports is an exceptional employer that fosters a creative and innovative work environment, perfect for those passionate about cricket and data science. With a hybrid working model from our central London office, employees enjoy a relaxed atmosphere complemented by monthly social events, comprehensive health benefits, and generous holiday allowances. We prioritise employee growth through exciting development opportunities, ensuring that our team members thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Cricket
✨Tip Number 1
Network like a pro! Reach out to people in the cricket analytics space on LinkedIn or at industry events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your previous work, especially any predictive models or analyses related to cricket. This will give you an edge during interviews and show you mean business.
✨Tip Number 3
Practice makes perfect! Get ready for the take-home data challenge by brushing up on your Python skills and statistical techniques. The more prepared you are, the more confident you'll feel.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Pythia Sports team.
We think you need these skills to ace Senior Data Scientist - Cricket
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with advanced statistics and modelling techniques in your CV. We want to see how you've tackled complex problems, especially in a sporting context, so don’t hold back!
Tailor Your Application:When applying, customise your CV and cover letter to reflect the specific requirements of the Senior Data Scientist role. Mention your passion for cricket and any relevant projects you've worked on that align with our focus on predictive modelling.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Pythia Sports
✨Know Your Data Inside Out
Before the interview, dive deep into the datasets you’ll be working with. Understand their limitations and how they can impact your predictive models. Being able to discuss specific examples of data validity and trends you've uncovered will show your expertise.
✨Showcase Your Modelling Skills
Prepare to discuss the statistical models you've developed in the past. Bring examples of how you've applied advanced statistics in a sporting context, especially cricket if possible. This will demonstrate your hands-on experience and creativity in problem-solving.
✨Communicate Clearly and Confidently
Since this role involves collaboration with both local and remote teams, practice articulating your thoughts clearly. Be ready to explain complex modelling techniques in simple terms, showcasing your ability to communicate effectively with diverse audiences.
✨Be Ready for the Take-Home Challenge
Expect a data challenge as part of the selection process. Prepare by brushing up on your Python skills and practising similar tasks. This is your chance to shine, so approach it with creativity and thoroughness to impress the modelling team.
