Lead Data Scientist- Sports Betting ML in Hull
Lead Data Scientist- Sports Betting ML

Lead Data Scientist- Sports Betting ML in Hull

Hull Full-Time 54000 - 84000 £ / year (est.) Home office possible
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At a Glance

  • 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 package, flexible remote work, 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: Collaborative environment with a focus on continuous learning and development.

The predicted salary is between 54000 - 84000 £ 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 Hull employer: SIRE

As a Lead Data Scientist at our company, you'll be part of a dynamic and innovative team that thrives on pushing the boundaries of sports analytics. We offer a fully remote work environment, a competitive compensation package, and ample opportunities for professional growth and mentorship. Join us to make a significant impact in the exciting world of sports betting, where your expertise will directly influence our strategic decisions and success.
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Contact Detail:

SIRE Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Scientist- Sports Betting ML in Hull

✨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 will give potential employers a taste of what you can bring to the table. We recommend using platforms like GitHub to share your projects.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with deep learning frameworks and how you’ve led teams in the past. We suggest doing mock interviews with friends or using online resources to practice.

✨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 about their job search. Let’s get you that Lead Data Scientist role!

We think you need these skills to ace Lead Data Scientist- Sports Betting ML in Hull

Machine Learning
Predictive Modelling
Deep Learning Frameworks
PyTorch
TensorFlow
Neural Networks
CNNs
Transformers
Python
SQL
Statistics
Probability Theory
Model Deployment
Team Leadership
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with sports betting models and any leadership roles you've held. We want to see how your skills align with what we're looking for!

Showcase Your Projects: Include specific projects where you've built or deployed machine learning models, especially in sports analytics. We love seeing real-world applications of your work, so don’t hold back on the details!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about sports betting and how your expertise can help us at StudySmarter. Keep it engaging and personal – we want to get to know you!

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’s super easy – just a few clicks and you’re done!

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 ability to lead 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 articulating your thought process.

✨Stay Current with Industry Trends

Familiarise yourself with the latest advancements in sports analytics and machine learning research. Being able to discuss recent developments or trends in the betting market will show that you're not just knowledgeable but also passionate about the field.

Lead Data Scientist- Sports Betting ML in Hull
SIRE
Location: Hull

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