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 team 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 science, strong Python skills required.
The predicted salary is between 48000 - 72000 £ 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 in City of London employer: Pythia Sports
Pythia Sports is an exceptional employer that fosters a dynamic and innovative work environment in the heart of London Victoria. With a strong emphasis on employee well-being, we offer comprehensive benefits including private health insurance, enhanced parental leave, and ample career development opportunities. Our hybrid work model promotes a balanced lifestyle, while our collaborative culture encourages creativity and teamwork, making it an exciting place for talented individuals to thrive and make a meaningful impact in the gaming industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Cricket in City of London
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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 Pythia Sports.
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We think you need these skills to ace Senior Data Scientist - Cricket in City of 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 Pythia Sports, 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 Pythia Sports. 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 Pythia Sports
✨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 Pythia Sports!
✨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.
