At a Glance
- Tasks: Develop predictive models for real-time sports betting using extensive datasets.
- Company: Join bet365, a leader in the online gambling industry with a focus on innovation.
- Benefits: Hybrid working policy, competitive salary, and opportunities for technical growth.
- Other info: Inclusive environment that values diversity and personal development.
- Why this job: Make an impact in sports betting with cutting-edge data science techniques.
- Qualifications: Degree in Mathematics, Data Science, or related field; strong Python/R skills required.
The predicted salary is between 50000 - 70000 £ per year.
As a Data Scientist, you will develop probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy.
Qualifications
- Bachelor’s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
- Keen interest in a wide range of sports and/or the online gambling industry.
- Demonstrable experience building predictive models from data.
- Expertise in statistical analysis and probability theory applied to real-world problems.
- Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.
- Ability to optimise models for both accuracy and computational efficiency.
- Experience handling and analysing large datasets.
- Familiarity with cloud computing environments.
Responsibilities
- Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.
- Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.
- Devising innovative solutions for unstructured problems.
- Assessing existing models and algorithms to identify areas for improvement.
- Identifying and resolving data quality issues or bugs affecting models or analysis.
- Performing rigorous statistical validation of models against historical and live data.
- Collaborating with trading teams to incorporate domain expertise into mathematical models.
- Optimising model performance for both accuracy and computational efficiency.
- Researching novel approaches from academic literature and industry developments.
- Identifying and defining new opportunities for data-driven insights.
At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.
Data Scientist, Sports in Stoke-on-Trent employer: 慨正橡扯
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our focus on technical development and the opportunity to work with cutting-edge data science techniques in the exciting world of sports betting. With a hybrid working policy and a diverse, inclusive environment, we ensure that every team member feels valued and empowered to contribute to our mission of delivering outstanding betting products.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Sports in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at bet365. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. Use platforms like GitHub to share your work; it’s a great way to demonstrate your expertise in Python, R, and ML frameworks.
✨Tip Number 3
Prepare for the interview by brushing up on your statistical analysis and probability theory. Be ready to discuss how you've tackled real-world problems with data-driven solutions—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist, Sports in Stoke-on-Trent
Some tips for your application 🫡
Show Your Passion for Sports:When you're writing your application, let your love for sports shine through! Mention specific sports you follow and how they relate to your data science skills. This will show us that you're not just a numbers person, but someone who truly understands the industry.
Highlight Your Technical Skills:Make sure to showcase your expertise in Python, R, and any machine learning frameworks you've worked with. We want to see how you've applied these skills in real-world scenarios, especially when it comes to building predictive models or analysing large datasets.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, so avoid jargon unless it's necessary to explain your experience or skills.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at 慨正橡扯
✨Know Your Numbers
Brush up on your statistical analysis and probability theory. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in sports or betting contexts. This will show that you can think critically about data and its implications.
✨Showcase Your Coding Skills
Make sure you're comfortable with Python or R, and be prepared to demonstrate your experience with ML frameworks like scikit-learn or TensorFlow. You might even be asked to solve a coding problem during the interview, so practice some common algorithms and data manipulation tasks.
✨Understand the Industry
Familiarise yourself with the online gambling industry and current trends in sports betting. Being able to discuss recent developments or innovations will not only impress your interviewers but also show your genuine interest in the role and the company.
✨Prepare for Problem-Solving Questions
Expect to tackle unstructured problems during the interview. Think of examples from your past experiences where you've devised innovative solutions or optimised models. This will demonstrate your analytical thinking and ability to adapt in a fast-paced environment.
