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- Tasks: Lead the design and deployment of machine learning models for sports betting predictions.
- Company: Join a cutting-edge sports analytics company with a remote-first culture.
- Benefits: Generous compensation, remote work flexibility, and opportunities for professional growth.
- Why this job: Make an impact in the exciting world of sports betting with innovative ML solutions.
- Qualifications: 5+ years in data science, leadership experience, and expertise in sports betting models.
- Other info: Collaborate with a dynamic team and stay ahead in the fast-paced sports analytics field.
The predicted salary is between 48000 - 72000 £ per year.
About the Role
We are looking for a Lead Data Scientist to head our machine learning model development operation. You will design, build, and deploy predictive models that estimate sports outcome probabilities, models that directly drive our betting strategy on prediction markets. This is a hands-on leadership role. You will own the full model lifecycle from research through production, lead a team of data scientists, and continuously improve our predictive edge. The role will be fully remote with a generous compensation package; previous experience with building sports betting models is essential.
Responsibilities
- Lead the design, development, and deployment of machine learning models for sports outcome prediction
- Manage and mentor a team of data scientists and data engineers
- Build and validate deep learning architectures (CNNs, Transformers, neural networks) for structured sports data
- Develop back testing frameworks and rigorously validate model performance against historical data
- Collaborate with trading and engineering teams to integrate models into live betting operations
- Ensure data quality, pipeline integrity, and model monitoring in production
- Stay current with advances in sports analytics, ML research, and betting market dynamics
Requirements
- 5+ years of experience as a Data Scientist or ML Engineer, with at least 2 years in a leadership role
- Proven experience building sports betting or prediction models - this is essential
- Strong expertise in deep learning frameworks (PyTorch, TensorFlow) and techniques (neural networks, CNNs, Transformers)
- Advanced proficiency in Python and SQL
- Solid foundation in statistics, probability theory, and predictive modelling
- Experience deploying ML models to production environments
- Excellent communication skills - ability to translate complex findings for non-technical stakeholders
- Degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or related quantitative field
Lead Data Scientist- Sports Betting ML in Warrington employer: SIRE
Contact Detail:
SIRE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist- Sports Betting ML in Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the sports betting and data science fields. Attend relevant meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work with predictive models, especially those related to sports betting. This could be a GitHub repo or a personal website. We want to see your hands-on experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of machine learning frameworks. We recommend practising common interview questions and even doing mock interviews with friends. Confidence is key, so let’s nail those technical challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged. Let’s get you one step closer to landing that Lead Data Scientist role!
We think you need these skills to ace Lead Data Scientist- Sports Betting ML in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building sports betting models and leading teams. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sports analytics and how your background makes you the perfect fit for our Lead Data Scientist position. Keep it engaging and personal.
Showcase Your Technical Skills: We’re looking for someone with strong expertise in deep learning frameworks and Python. Make sure to mention specific projects or experiences where you’ve used these skills effectively. We love seeing real-world applications!
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, we can’t wait to see what you bring to the table!
How to prepare for a job interview at SIRE
✨Know Your Models Inside Out
Make sure you can discuss your experience with building sports betting models in detail. Be prepared to explain the methodologies you used, the challenges you faced, and how you overcame them. This will show your depth of knowledge and hands-on experience.
✨Showcase Your Leadership Skills
Since this is a leadership role, be ready to talk about your experience managing teams. Share specific examples of how you've mentored data scientists or engineers, and how you foster collaboration within your team. Highlighting your leadership style will set you apart.
✨Demonstrate Technical Proficiency
Brush up on your deep learning frameworks like PyTorch and TensorFlow. Be prepared to discuss your experience with CNNs, Transformers, and other neural networks. You might even be asked to solve a technical problem on the spot, so practice coding in Python and SQL beforehand.
✨Stay Current with Industry Trends
Familiarise yourself with the latest advancements in sports analytics and machine learning research. Being able to discuss recent trends or breakthroughs in the field will demonstrate your passion and commitment to staying ahead in the industry.
