The Role Leads and mentors a US-based data science and machine learning team while remaining hands-on with coding, model development, deployment, and production ML solutions. Establishes data science workflows and standards, partners with product and engineering stakeholders, translates business problems into initiatives, and drives scalable MLOps practices on Google Cloud. Collaborates with UK teams and builds a delivery-focused regional capability. Summary Generated by Built In Company Description 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 10,000 people and serve over 120 million customers in 26 languages. 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 growth opportunities, giving them the opportunity to make a real impact in the world of online gambling and gaming. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our customers worldwide. Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description This 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 AgentOps Team 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 Proven experience working in a fast-paced, agile, or startup-like environment. You must have a demonstrated passion for "getting things done" and delivering value iteratively. Prior experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development. A strong track record of designing, building, deploying, and maintaining machine learning models in production environments Superior communication 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 Google BigQuery. Hands-on experience with Google Cloud Platform (GCP), ideally including the Vertex AI ecosystem (Pipelines, Workbench, Endpoints). MSc or 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-driven architectures (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. Partnering closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities. Collaborating regularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities. Translating complex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles. Collaborating with Machine Learning Engineers to champion the adoption of robust MLOps practices 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. Read Full Description Skills Required Experience working in a fast-paced, agile, or startup-like environment Experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development Experience designing, building, deploying, and maintaining machine learning models in production Superior communication and cross-functional relationship-building skills Ability to translate technical concepts into business outcomes for technical and non-technical audiences Advanced programming skills in Python and expertise with data science libraries including Scikit-learn, Pandas, NumPy, and XGBoost Advanced SQL proficiency for querying and manipulating large datasets Experience with Google BigQuery Hands-on experience with Google Cloud Platform Experience with the Vertex AI ecosystem, including Pipelines, Workbench, and Endpoints MSc or PhD in a quantitative discipline, or equivalent practical industry experience Familiarity with Docker, Kubernetes, and CI/CD principles for machine learning Experience with real-time stream processing or event-driven architectures such as Kafka What the Team is Saying Nick Customer Service Advisor "It's exciting to be right at the epicenter of the sports world in an industry that's rapidly growing in the US. Being the front line for customer service taps you directly into the highs and lows of every moment and makes every day feel new." Nick Customer Service Advisor "It's exciting to be right at the epicenter of the sports world in an industry that's rapidly growing in the US. Being the front line for customer service taps you directly into the highs and lows of every moment and makes every day feel new." Jack Customer Service Deputy Manager "The culture at bet365 is open, collaborative and supportive. People are always willing to share their insights and experiences." Jack Customer Service Deputy Manager "It's also a very inclusive environment where people feel welcome from day one. That makes a real difference as it helps create a workplace where everyone feels comfortable contributing, learning and growing." Justin Customer Service Advisor "If you're someone who wants to build a career in the sports or gaming industry, there's no better place to begin than bet365. The skills that you learn here can be used throughout your professional life." Justin Customer Service Advisor "bet365 is a fantastic organization that takes care of its employees. From the culture to the benefits and work-life balance, I never thought I'd have the perks I do so soon into my career." Jenna Customer Service Induction Supervisor "I take great pride in coaching and developing my team of instructors, ensuring that we collectively contribute to a seamless transition for Advisors. It's rewarding to witness their growth and success" Matt Customer Service Advisor "For me it's being able to work in the sports world while also assisting customers... If you want an environment where you're set up to succeed, grow and assist, bet365 is the perfect place to be." Melissa Customer Support Induction Manager "The opportunity for a new challenge and the chance to help build something unprecedented for the company in America... It's been amazing to see how much it's grown since then." Austen Customer Service Deputy Manager "Aside from the growth opportunities and culture, the benefits and work-life balance are great. In Denver, you get generous PTO, a competitive 401k plan and medical coverage." bet365 Compensation & Benefits Highlights What else should readers know about [COMPANY_NAME]'s Compensation & Benefits? We give you the resources so that you can be your best self and feel great. Your wellbeing is our top priority. Here are just some of our life-enhancing benefits: A healthy body and mind come first We've partnered with ComPsych, who offer a complete support network, including expert advice and compassionate guidance available 24/7. We also offer various fitness resources to help you stay active and healthy. Giving you financial peace of mind Whatever life throws at you, we're here to support along the way. With comprehensive financial benefits, you can have peace of mind knowing we've got you covered. Full-time employees can earn an extra bonus each year, while we celebrate loyalty with rewards for 5, 10 and 25 years of service. We also offer a 401(k) plan with a company match, as well as company-paid health insurance that includes medical, dental and vision benefits. Room for personal growth and career development We recognise and reward your hard work, helping you to learn, grow and thrive. With training and mentoring programmes readily available, you'll have plenty of opportunities to upskill and progress. Above all, we support everyone in reaching their full potential. Learn more about bet365's Compensation & Benefits → bet365 Insights What's It Like to Work at bet365? bet365 Culture & Values bet365 Career Growth & Development What's the Work-Life Balance Like at bet365? bet365 Leadership & Management bet365 Company Growth, Stability & Outlook View all jobs at bet365 View bet365 Profile Report Job