Senior Data Scientist — Real-Time Sports Betting in Manchester
Senior Data Scientist — Real-Time Sports Betting

Senior Data Scientist — Real-Time Sports Betting in Manchester

Manchester Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
bet365

At a Glance

  • Tasks: Develop predictive models for real-time sports betting using advanced machine learning techniques.
  • Company: Join bet365, a leading online gambling company revolutionising the industry since 2000.
  • Benefits: Hybrid working policy, opportunities for growth, and a creative work environment.
  • Why this job: Make a real impact in sports betting with cutting-edge technology and data analysis.
  • Qualifications: Degree in a quantitative field and experience in developing complex predictive models.
  • Other info: Collaborate with talented professionals in a fast-paced, dynamic environment.

The predicted salary is between 60000 - 80000 £ per year.

At bet365, we are one of the world's leading online gambling companies, revolutionising the industry since 2000. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity.

As a Senior Data Scientist, you will develop probabilistic models that power real-time betting markets. The Quantitative Analysis team designs, develops, and maintains sophisticated mathematical models to provide accurate pricing across our sports betting products. Working with extensive sports datasets, you will develop models that determine odds and power in-play betting decisions. You will apply state-of-the-art machine learning techniques to sports data, collaborating with talented professionals in a fast-paced and dynamic environment.

This role is eligible for inclusion in the Company's hybrid working policy.

Qualifications:
  • Proven track record of designing, developing, and deploying sophisticated predictive models.
  • Degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
  • Excellent understanding of statistical analysis and probability theory, with the ability to apply advanced techniques to complex, real-world problems.
  • Mastery of Python/R, with extensive experience in designing and implementing complex machine learning solutions using frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Excellent verbal and written communication skills for presenting complex data-driven insights to both technical and non-technical audiences.
  • Strong understanding of a wide range of sports and the online gambling industry.
  • Demonstrated ability to design and implement models that are highly accurate, computationally efficient and scalable for large-scale production environments.
  • Experience mentoring junior colleagues, leading technical projects, and contributing to the success of a team.
  • Experience with cloud computing environments.
Additional Information:
  • Applying creative and innovative thinking to solve complex problems that do not have prescriptive solutions.
  • Conducting advanced 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.
  • Performing rigorous statistical validation of models against historical and live data.
  • Collaborating with trading teams to incorporate domain expertise into mathematical models.
  • Collaborating 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 developments.
  • Providing support to less experienced team members and carry out QA of work.
  • Identifying and defining new opportunities for data-driven insights.

At bet365, we are committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We are Never Ordinary, and we are 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.

Senior Data Scientist — Real-Time Sports Betting in Manchester employer: bet365

At bet365, we pride ourselves on being a leading employer in the online gambling industry, offering a dynamic and inclusive work environment that fosters creativity and innovation. Our commitment to employee growth is evident through our extensive training programmes and opportunities for advancement, particularly in our fast-paced, technology-driven setting. With a hybrid working policy and a culture that values diverse perspectives, bet365 is an exceptional place for talented individuals to make a meaningful impact in real-time sports betting.
bet365

Contact Detail:

bet365 Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist — Real-Time Sports Betting in Manchester

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at bet365. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! Prepare a portfolio or a project that highlights your data science prowess. When you get the chance to chat with hiring managers, having something tangible to discuss can really set you apart.

Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on your Python/R skills and machine learning techniques. The more comfortable you are, the better you'll perform when it counts.

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 being part of the bet365 team. Don’t miss out!

We think you need these skills to ace Senior Data Scientist — Real-Time Sports Betting in Manchester

Probabilistic Modelling
Statistical Analysis
Probability Theory
Machine Learning
Python
R
scikit-learn
TensorFlow
PyTorch
Data Analysis
Cloud Computing
Communication Skills
Mentoring
Optimisation Techniques
Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with probabilistic models and machine learning techniques, as these are key for us at bet365. We want to see how your skills align with our needs!

Showcase Your Projects: Include specific projects where you've designed and deployed predictive models. We love seeing real-world applications of your work, especially if they relate to sports data or online gambling. This helps us understand your hands-on experience!

Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data science in the sports betting industry. Share your thoughts on how you can contribute to our innovative environment and mention any relevant experiences that set you apart.

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 shows you’re keen on joining our team at bet365!

How to prepare for a job interview at bet365

Know Your Data Inside Out

Before the interview, dive deep into the types of sports data you'll be working with. Familiarise yourself with statistical analysis and probability theory as they relate to real-time betting. Being able to discuss specific datasets and how you've used them in past projects will show your expertise.

Showcase Your Technical Skills

Be prepared to discuss your experience with Python or R, especially in relation to machine learning frameworks like scikit-learn or TensorFlow. Bring examples of predictive models you've developed and be ready to explain the thought process behind your design choices.

Communicate Clearly

Since you'll be presenting complex data-driven insights, practice explaining your work to both technical and non-technical audiences. Use clear, concise language and avoid jargon where possible. This will demonstrate your ability to bridge the gap between data science and practical application.

Emphasise Collaboration

Highlight your experience working in teams, especially in fast-paced environments. Discuss any mentoring roles you've taken on and how you've collaborated with trading teams or software developers. This shows that you can contribute to a team dynamic and help elevate others around you.

Senior Data Scientist — Real-Time Sports Betting in Manchester
bet365
Location: Manchester

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