Senior Data Scientist

About the role
As a Senior Data Scientist, you will accelerate our end-to-end machine learning lifecycle, building
on our strong data science foundation to scale impact and automate business decisions.
The data science team is at the forefront of driving business decisions, we are now scaling our
impact with a focus on automation and advanced MLOps practices on Google Cloud.
This is a key technical leadership role where you will champion rapid iteration and innovation, this
will be instrumental in elevating our ability to deliver measurable value. You will be responsible for
the end-to-end lifecycle of machine learning solutions that optimize our Sports and Gaming
products, from development to automated deployment and monitoring.

This is an exciting opportunity to apply cutting-edge data science and MLOps principles in a fast-
paced, high-impact environment, tackling complex challenges in areas like Trading, Fraud,

Responsible Gaming, and Personalization.
The listed salary for this position is $135,000 – $150,000 annually.
Main Responsibilities:
• Owning the full data science lifecycle, from initial ideation and rapid prototyping in tools such
as Vertex AI Workbench, to deploying production-grade models and pipelines that are robust,
scalable, and automated.
• Leading the implementation of advanced MLOps principles within our Google Cloud
environment, designing, building, and maintaining CI/CD/CT pipelines for automated model
deployment using Vertex AI Pipelines and other GCP services.
• Partnering proactively with stakeholders in Product, Responsible Gaming, Trading, and other
teams to identify high impact opportunities and translate complex business needs into tangible
data science use cases.
• Building and implementing frameworks for automated model testing, validation, and
monitoring using tools such as Vertex AI Model Monitoring to detect drift and ensure
performance at scale.
• Designing, implementing, and rigorously analyzing A/B tests and other experiments to
measure the impact of models and strategies, ensuring data-driven solutions deliver clear,
quantifiable value.
• Researching and championing the adoption of innovative data science and MLOps techniques,
tools, and methodologies that solve problems efficiently, prioritizing impact over complexity.
• Acting as a technical leader and mentor for other data scientists, fostering a culture of
continuous learning and high-velocity execution.

The skills and experience to help you perform in the role:
• PhD or MSc in a quantitative field such as Computer Science, Statistics, or Engineering, or
equivalent industry experience delivering complex data science projects.
• Demonstrable experience deploying and maintaining machine learning systems in a
production environment with measurable business impact.

• Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-
learn, Pandas, NumPy, XGBoost.

• Advanced proficiency in SQL, with hands-on experience querying and manipulating large,
complex datasets, preferably with Google BigQuery.
• Extensive hands-on experience with Google Cloud Platform (GCP), including building and
automating ML workflows with Vertex AI pipelines, managing datasets, training models, and
deploying to Vertex AI.
• Experience using collaborative development environments such as Vertex AI Workbench for
rapid prototyping, exploration, and analysis.
• Experience leveraging other core GCP services such as BigQuery, Cloud Storage, and Cloud
Functions to build end-to-end data solutions.
• Solid understanding of CI/CD principles and tools such as Cloud Build or GitLab CIfor
automating ML workflows.
• Experience with containerization such as Docker, Kubernetes/GKE.
What We Offer:

About bet365
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.