At a Glance
- Tasks: Create and implement advanced sports models to enhance user experience on our Sportsbook platform.
- Company: Join a leading tech company in the gaming industry, passionate about sports and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities for junior data scientists.
- Why this job: Make an impact in the sports world while working with cutting-edge data science technologies.
- Qualifications: Degree in a related field and proficiency in Python; passion for sports is a must.
The predicted salary is between 63000 - 77000 £ per year.
The Crown Is Yours
Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform .
As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users.
In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications.
What You'll Do
- Create statistical and machine learning models and integrate them into data science applications.
- Collect and engineer sports data assets to assist in model development.
- Implement the sports models and pricing engines in Python.
- Create automatic tests to ensure model and pricing engine accuracy.
- Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment.
- Test data flows and model integration in a larger business context.
- Coach and support more junior data scientists within the team.
- What You'll Bring
- A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field
- Proficiency in Python, object-oriented programming concepts, and version control
- Familiarity with unit testing, integration testing, and CI/CD pipelines to support code quality and reliability
- Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes
- Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining)
- Solid grasp of data science principles and statistical modeling techniques, preferably with experience building statistical or machine learning models for sports
- Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics
- Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies
- Join Our Team
We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston.
As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.
Don't worry, we'll guide you through the process if this is relevant to your role.
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Senior Data Science Engineer employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
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