Data Science Team Leader

bet365; Denver (CO); On-site; USD 155,000 - 165,000; Full time

Job summary

bet365 in Denver, Colorado is seeking a Data Science Team Leader to establish and grow our US data science capability. You will stay hands-on with coding, building models, and delivering ML solutions while mentoring a team of US-based Data Scientists and ML Engineers.

The role requires startup mentality, strong action bias, and excellent stakeholder management as you partner with US and UK teams to drive measurable business value through rapid prototyping and scalable ML where production-grade

Qualifications

• Proven experience in fast-paced, agile or startup-like environments.
• Experience mentoring data scientists or engineers while remaining active in code development.
• Track record designing, building, deploying, and maintaining ML models in production.
• Strong communication to translate technical concepts into business outcomes for both technical and non-technical audiences.
• Advanced Python and data science libraries expertise (Scikit-learn, Pandas, NumPy, XGBoost).
• Advanced SQL for large datasets, preferably with BigQuery.
• Hands-on GCP experience, including Vertex AI ecosystem.
• MSc or PhD in a quantitative field or equivalent practical industry experience.
• Familiarity with Docker, Kubernetes, and CI/CD for ML.
• Experience with real-time stream processing or event-driven architectures (Kafka).

Responsibilities

• Devise, code, and deploy AI, ML and predictive models; lead by example in technical execution and code quality.
• Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers.
• Partner closely with the Data Team Lead, Data Product Lead, and AgentOpsLead to align data science initiatives with product roadmaps and platform capabilities.
• Collaborating with the UK-based Data Science team to share methodology, align on standards, and leverage global technical capabilities.
• Translating complex business questions into data science initiatives, delivering measurable value through rapid prototyping and deployment cycles.
• Collaborating with ML Engineers to champion robust MLOps on the Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable.
• Establish data science workflows, standards, and code repositories from scratch in a new regional office.

Skills

Fast-paced environment

Mentor data scientists

ML deployment

Strong communication

Python programming

Data science libraries

SQL proficiency

GCP experience

MSc/PhD in quantitative field

Docker

Kubernetes

Kafka

Education

MSc/PhD in quantitative discipline

Tools

Vertex AI

Google Cloud Platform (GCP)

BigQuery

Pipelines

Workbench

Endpoints

Docker

Kubernetes

Job description

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide.Job DescriptionThis is an exceptional, hands-on, player/coach opportunity to establish, shape, and lead our Data Science capability in the United States. As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and executing machine learning solutions, while simultaneously mentoring and growing a high-performing team of US-based Data Scientists and Machine Learning Engineers. We are intentionally recruiting for a specific kind of professional: someone with a startup mindset who thrives in fast-paced environments, possesses a strong bias for action, and values execution over theoretical complexity. To succeed, you must be a pragmatic problem solver who enjoys getting their hands dirty while building scalable, production-grade solutions. Excellent stakeholder management is paramount. You will work as a key collaborative partner alongside the US Data Team Lead, Data Product Lead, and AgentOpsTeam Lead within the wider US Data team, while maintaining strong operational alignment and knowledge sharing with our established UK-based Data Science team. The listed salary for this position is $155,000 - $165,000 annually.Qualifications

• Provenexperience working in a fast-paced, agile, or startup-like environment. You must have a demonstrated passion for "getting things done" and delivering value iteratively.
• Priorexperience mentoring, coaching, or leading data scientists or engineers while remaining active in code development.
• Astrong track record of designing, building, deploying, and maintaining machine learning models in production environments
• Superiorcommunication skills with the ability to build strong cross-functional relationships and translate technical concepts into business outcomes for both technical and non-technical audiences.
• Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn, Pandas, NumPy,XGBoost, etc.).
• Advanced SQL proficiency for querying and manipulating large datasets, preferably within GoogleBigQuery.
• Hands-on experience with Google Cloud Platform (GCP), ideally including the Vertex AI ecosystem (Pipelines, Workbench, Endpoints).
• MScor PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or equivalent practical industry experience.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD principles for machine learning.
• Experience with real-time stream processing or event-drivenarchitectures(e.g., Kafka).

Additional Information

• In this hands-on role you will devise, code, and deploy AI, machine learning and predictive models, leading by example in technical execution and code quality. This is not a pure people-management role.
• Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and software engineering discipline.
• Partneringclosely with the Data Team Lead, Data Product Lead, and AgentOpsTeam Lead to align data science initiatives with product roadmaps and platform capabilities.
• Collaboratingregularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities.
• Translatingcomplex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles.
• Collaboratingwith Machine Learning Engineers to champion the adoption of robustMLOpspractices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable.
• Establish data science workflows, standards, and code repositories from scratch in a new regional office.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.