Senior Data Scientist

hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role.

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.