At a Glance
- Tasks: Develop predictive models for real-time sports betting using data-driven insights.
- 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: Dynamic environment with a commitment to diversity and personal development.
- Why this job: Make an impact in sports betting by harnessing data and cutting-edge technology.
- Qualifications: Bachelor’s degree in a quantitative field and strong skills in Python/R and ML frameworks.
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.
Data Scientist, Sports employer: Limelight Health
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and technical growth. Our commitment to employee development is matched by our inclusive environment, where every team member is valued and encouraged to contribute their unique insights. With the flexibility of a hybrid working policy and a focus on cutting-edge data science in the exciting world of sports betting, this role presents a unique opportunity for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Sports
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at bet365 or similar companies. 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 projects, especially those related to sports data. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for the interview by brushing up on your statistical analysis and machine learning techniques. Be ready to discuss how you've tackled real-world problems with your models. We love seeing practical applications of your skills!
✨Tip Number 4
Don’t forget to 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.
We think you need these skills to ace Data Scientist, Sports
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. We want to see that you’re not just a number cruncher but someone who genuinely cares about the industry.
Highlight Your Technical Skills:Make sure to showcase your expertise in Python, R, and any machine learning frameworks you've used. We’re looking for candidates who can hit the ground running, so don’t hold back on detailing your experience with predictive models and statistical analysis.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications at a glance. Remember, we appreciate clarity as much as complexity!
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’s super easy to do!
How to prepare for a job interview at Limelight Health
✨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 devised innovative solutions or optimised models. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
