At a Glance
- Tasks: Develop predictive models for sports betting using Python, SQL, and AI tools.
- Company: Join Twenty First Group, a leader in sports betting analytics.
- Benefits: Enjoy hybrid working, competitive salary, and great perks.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Make an impact in the exciting world of sports betting with cutting-edge technology.
- Qualifications: Experience in data science, modelling, and strong skills in Python and SQL.
The predicted salary is between 60000 - 75000 £ per year.
Twenty First Group in London, United Kingdom, is seeking a Data Scientist to join the Sports Betting vertical and develop predictive models for pre-match and in-play products.
You will perform modelling, data exploration with Python and SQL, and leverage AI tools to accelerate workflows while maintaining rigorous documentation and governance.
Hybrid working and a competitive package are offered.
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Sports Betting Data Scientist — Predictive ML & Modeling in England employer: Twenty First Group
As a Data Scientist in our Sports Betting vertical, you'll thrive in a dynamic and innovative environment that champions collaboration and continuous development. Our hybrid working model allows you to enjoy the flexibility of remote work while benefiting from our vibrant London office culture, where you can engage with passionate colleagues. With competitive salaries, comprehensive health benefits, and a strong focus on AI integration, we provide an excellent platform for your professional growth in the exciting world of sports data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Sports Betting Data Scientist — Predictive ML & Modeling in England
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We think you need these skills to ace Sports Betting Data Scientist — Predictive ML & Modeling in England
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 Twenty First Group, 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 Twenty First Group. 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 Twenty First Group
✨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!
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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 Twenty First Group!
✨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.
