At a Glance
- Tasks: Lead the creation of advanced models for real-time sports betting markets.
- Company: Join bet365, a leader in innovative online gambling solutions.
- Benefits: Hybrid working, competitive salary, and opportunities for technical growth.
- Other info: Mentor junior team members and collaborate with trading teams for impactful insights.
- Why this job: Make an impact in sports data analysis and predictive modelling.
- Qualifications: Master’s or PhD in a quantitative field; expertise in Python/R and ML frameworks.
The predicted salary is between 70000 - 90000 € per year.
As a Lead Data Scientist, you will spearhead the development of advanced 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 while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. 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
- Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives.
- Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.
- Proven success in leading the design, development, and deployment of sophisticated predictive models.
- Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.
- Proven ability to design and implement complex machine learning solutions and guiding best practice.
- Deep understanding of statistical analysis and probability theory.
- Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments.
- Track record of mentoring junior colleagues and successfully leading technical projects.
- Experience with cloud computing environments for scalable solutions.
Additional Information
- Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches.
- Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.
- Developing predictive models and algorithms using statistical techniques and machine learning.
- Conducting and supervising rigorous statistical validation of models against historical and live data.
- Collaborating with trading teams to incorporate domain expertise into mathematical models.
- Partnering with software architects and developers to ensure alignment with technical solutions.
- Optimising model performance for both accuracy and computational efficiency.
- Researching and implementing novel approaches from academic literature and industry advancements.
- Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities.
- 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.
Lead Data Scientist, Sports in Manchester employer: bet365
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Data Scientist, you will have the opportunity to work with cutting-edge technology in a hybrid environment, while also benefiting from extensive professional development and mentorship programmes. Our commitment to inclusivity ensures that every team member is valued and empowered to contribute to our mission of delivering outstanding sports betting products.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist, Sports in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your expertise in Python, R, and machine learning frameworks. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your statistical analysis and probability theory. Be ready to discuss your past projects and how you've tackled complex challenges. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team. Don’t hesitate to follow up if you haven’t heard back!
We think you need these skills to ace Lead Data Scientist, Sports in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python, R, and machine learning frameworks like TensorFlow or PyTorch. We want to see how your skills align with the role of Lead Data Scientist, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Quantify Your Achievements:Whenever possible, use numbers to showcase your past successes. Whether it’s improving model accuracy or leading a project, quantifying your achievements helps us understand the impact you’ve made.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at bet365
✨Know Your Models Inside Out
Make sure you can discuss your experience with developing predictive models in detail. Be ready to explain the methodologies you've used, particularly in Python or R, and how they relate to sports betting. This will show your depth of knowledge and ability to apply it practically.
✨Showcase Your Statistical Savvy
Brush up on your understanding of statistical analysis and probability theory. Be prepared to discuss how you've applied these concepts in real-world scenarios, especially in relation to large datasets and model validation. This will demonstrate your analytical skills and relevance to the role.
✨Highlight Your Leadership Experience
Since this is a lead position, be ready to talk about your experience mentoring junior colleagues and leading technical projects. Share specific examples of how you've guided teams to success and improved overall performance, as this will highlight your leadership capabilities.
✨Stay Current with Industry Trends
Familiarise yourself with the latest advancements in machine learning and data science, particularly those relevant to sports and online gambling. Being able to discuss recent innovations or research will show your passion for the field and your commitment to continuous learning.
