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 Manchester 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 Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as Data Scientists. Join relevant online communities or attend sports analytics meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses related to sports betting. Use platforms like GitHub to share your projects, and don’t forget to highlight your Python/R expertise and any machine learning frameworks you've used.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical analysis and probability theory. Be ready to discuss how you’ve applied these concepts to real-world problems, especially in sports contexts. Practice explaining your thought process clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at bet365, where we value innovation and growth in the fast-paced world of sports betting.
We think you need these skills to ace Data Scientist, Sports in Manchester
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 used. We want to see examples of how you've built predictive models or tackled real-world problems using these tools. Don't hold back on the details!
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 make sure your experience and skills are easy to spot at a glance.
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 gives you a chance to explore more about what we do at StudySmarter!
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 machine learning frameworks like scikit-learn or TensorFlow. You might even be asked to solve a coding problem on the spot, 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. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
