Qureos Mentor

bet365

bet365 is one of the world’s leading online gambling companies, revolutionising the industry since its founding in 2000 by Denise Coates CBE. With over 10,000 employees, bet365 serves more than 120 million customers in 26 languages. The company fosters a culture of creativity and innovation, providing employees with opportunities to make a significant impact in the online gambling sector. Known for its focus on In-Play betting, bet365 handles millions of bets and HTTP requests daily, solidifying its position as a market leader.

<div>
 
 
 Job Description
 
 
 
 As a Data Scientist, you will develop probabilistic models that power real-time betting markets.
 
 
 
 
 
 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
 
 
 
 
 
 In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
 
 
 
 
 
 This role is eligible for inclusion in the Company's hybrid working policy.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
 </li>
 <li>
 Keen interest in a wide range of sports and/or the online gambling industry.
 </li>
 <li>
 Demonstrable experience building predictive models from data.
 </li>
 <li>
 Expertise in statistical analysis and probability theory applied to real-world problems.
 </li>
 <li>
 Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Ability to optimise models for both accuracy and computational efficiency.
 </li>
 <li>
 Experience handling and analysing large datasets.
 </li>
 <li>
 Familiarity with cloud computing environments.
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 <ul>
 <li>
 Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.
 </li>
 <li>
 Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.
 </li>
 <li>
 Devising innovative solutions for unstructured problems.
 </li>
 <li>
 Assessing existing models and algorithms to identify areas for improvement.
 </li>
 <li>
 Identifying and resolving data quality issues or bugs affecting models or analysis.
 </li>
 <li>
 Performing rigorous statistical validation of models against historical and live data.
 </li>
 <li>
 Collaborating with trading teams to incorporate domain expertise into mathematical models.
 </li>
 <li>
 Optimising model performance for both accuracy and computational efficiency.
 </li>
 <li>
 Researching novel approaches from academic literature and industry developments.
 </li>
 <li>
 Identifying and defining new opportunities for data-driven insights.
 </li>
 </ul>
 
 
 
 
 By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy
 
 
 
 
 
 At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.
 
</div>

Data Scientist, Sports

<div>Company Description 
We&rsquo;re one of the world&rsquo;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. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global 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 
As a Data Scientist, you will develop probabilistic models that power real-time betting markets.
The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
In this role, you will work with extensive datasets to develop models that determine odds and power in-play betting decisions. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
This role is eligible for inclusion in the Company's hybrid working policy. 
Qualifications 
<ul><li>
Bachelor&rsquo;s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.</li><li>
Keen interest in a wide range of sports and/or the online gambling industry.</li><li>
Demonstrable experience building predictive models from data.</li><li>
Expertise in statistical analysis and probability theory applied to real-world problems.</li><li>
Strong Python/R skills with experience in ML frameworks, such as scikit-learn, TensorFlow, or PyTorch.</li><li>
Ability to optimise models for both accuracy and computational efficiency.</li><li>
Experience handling and analysing large datasets.</li><li>
Familiarity with cloud computing environments.</li></ul> 

Additional Information 
<ul><li>
Conducting in-depth analysis of large datasets to extract insights and inform decision-making in sports betting.</li><li>
Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms for sports betting.</li><li>
Devising innovative solutions for unstructured problems.</li><li>
Assessing existing models and algorithms to identify areas for improvement.</li><li>
Identifying and resolving data quality issues or bugs affecting models or analysis.</li><li>
Performing rigorous statistical validation of models against historical and live data.</li><li>
Collaborating with trading teams to incorporate domain expertise into mathematical models.</li><li>
Optimising model performance for both accuracy and computational efficiency.</li><li>
Researching novel approaches from academic literature and industry developments.</li><li>
Identifying and defining new opportunities for data-driven insights.</li></ul><div></div>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</div>

<div>Company Description 
We&rsquo;re one of the world&rsquo;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. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global 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 
As an Observability Engineer, you will build and evolve our modern observability platform, ensuring our systems stay healthy and performant for millions of users.
We&rsquo;re moving from simple monitoring to an observability-first mindset. As an Observability Engineer, you&rsquo;ll be at the heart of this shift. You&rsquo;ll design solutions that give us deep insights into system health, helping us reduce MTTD and MTTR. You&rsquo;ll work with a comprehensive toolkit to provide analytics, alerting, and remediation strategies for our cloud and on-premise applications. 
 
This role is about more than just keeping the lights on; it&rsquo;s about building a platform that lets us truly understand our systems. You&rsquo;ll set the standards for observability, ensuring it&rsquo;s baked into every new system we build.
This role is eligible for inclusion in the Company&rsquo;s hybrid working from home policy. 
Qualifications 
<ul><li>
Excellent knowledge of contemporary monitoring, analytics tooling and best practice.</li><li>
Strong experience integrating systems and applications with monitoring and APM tools.</li><li>
Demonstrable experience instrumenting applications for observability, ideally with OpenTelemetry.</li><li>
Experience with IaC, automation and orchestration tools such as Ansible and Terraform.</li><li>
Basic programming experience, ideally with Python, Golang or Javascript.</li><li>
Basic scripting ability with Powershell and Bash.</li><li>
Strong experience working in a large scale, 24/7 enterprise where system uptime is paramount.</li><li>
Experience with public and private Cloud.</li><li>
Proficiency with Linux operating system.</li><li>
Ability to work with autonomy and collaborate well within a wider team.</li></ul> 

Additional Information 
<ul><li>
Building sophisticated monitoring dashboards using log data, metrics, traces and profiles from sources like New Relic, Grafana, Splunk, Kibana and Pyroscope.</li><li>
Administrating an incident response platform, like PagerDuty, to enable fast and efficient resolution of incidents.</li><li>
Working with service owners on integrations while supporting the onboarding of telemetry data.</li><li>
Using automation and orchestration platforms to streamline manual processes and workflows.</li><li>
Promoting an observability-first mindset and encourage best practices across teams.</li><li>
Contributing to the development of standards for monitoring, logging and tracing.</li><li>
Evolving team processes and approaches.</li><li>
Mentoring colleagues in the use of new technologies or practices.</li><li>
Maintaining and administer existing monitoring and analytic tools.</li><li>
Collaborating across teams to solve complex challenges and prevent recurrence.</li></ul><div></div>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</div>

Observability Engineer

<div>Company 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&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our customers worldwide. 
Job Description 
As a Regulatory Data Team Leader, you will lead a cross-functional team in the delivery of regulatory reporting software solutions.
The Data Engineering department is responsible for writing software and reporting systems to communicate jurisdiction-specific information to international regulators. They are developed to high standards, tuned for performance and reliability with low tolerances for error.
We're using an architecture that includes high-throughput, database-centric distributed applications, that supports batch reporting, integrates with SOAP and REST APIs, and features Windows and web services, as well as web applications.
You will be responsible for ensuring the team's output meets stringent regulatory reporting requirements while upholding high standards of technical design.
This role is eligible for inclusion in the Company&rsquo;s hybrid working policy. 
Qualifications 
<ul><li>
Strong experience with GCP and BigQuery, demonstrating a deep understanding of cloud architecture.</li><li>
Experience working with various AI tools to enhance workflows and processes, demonstrating a practical application of AI in projects.</li><li>
Experience of leading a geographically distributed software delivery team.</li><li>
Highly organised and adaptable; adept at prioritisation, delivery, and driving efficiency in a high-throughput and fast-paced environment.</li><li>
Maintain a positive outlook whilst adapting to rapidly changing requirements.</li><li>
Experience of driving collaboration across key stakeholders to ensure requirements are clarified, solution designs are produced and implemented within the required timeframes.</li><li>
Start up mindset with excellent communication and interpersonal skills that inspire and motivate teams.</li><li>
Experience in the design and implementation of software solutions within a cloud architecture would be advantageous.</li><li>
Experience of working within a regulatory or commercial gambling environment.</li><li>
Commercial database development experience coupled with optimisation skills, using SQL Server 2014 or later, T-SQL, or BigQuery and GoogleSQL.</li></ul> 

Additional Information 
<ul><li>
Managing team performance; providing mentoring and coaching and supporting development goals.</li><li>
Supporting the technical lead and the team in adopting AI solutions to enhance workflows and reporting capabilities.</li><li>
Ensuring governance is in place so that the output of the team meets regulatory reporting requirements whilst adhering to best design practices.</li><li>
Owning the delivery of reporting solutions to meet regulatory requirements.</li><li>
Collaborating with the Finance and Compliance departments and other stakeholders as necessary to prioritise the delivery of work.</li><li>
Overseeing risks, issues, and external team dependencies through to completion.</li><li>
Identifying and implementing improvements to working practices, processes, and deliverables to support the efficient delivery of high-quality software.</li><li>
Encouraging a collaborative, respectful, and supportive working environment.</li><li>
Providing management with status updates of team deliveries and activities, and escalating issues that risk the timely delivery of project milestones.</li><li>
Gaining an understanding of the existing regulatory reporting systems; both the regulatory requirements and the interpretations which have been implemented.</li></ul><div></div>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</div>

Software Development Team Lead - Regulatory Data

<div>Company Description 
We&rsquo;re one of the world&rsquo;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. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global 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 
As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets.
The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
This role is eligible for inclusion in the Company's hybrid working policy. 
Qualifications 
<ul><li>
Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives.</li><li>
Master&rsquo;s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.</li><li>
Proven success in leading the design, development, and deployment of sophisticated predictive models.</li><li>
Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch,</li><li>
Proven ability to design and implement complex machine learning solutions and guiding best practice.</li><li>
Deep understanding of statistical analysis and probability theory.</li><li>
Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments.</li><li>
Track record of mentoring junior colleagues and successfully leading technical projects.</li><li>
Experience with cloud computing environments for scalable solutions.</li></ul> 

Additional Information 
<ul><li>
Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches.</li><li>
Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.</li><li>
Developing predictive models and algorithms using statistical techniques and machine learning.</li><li>
Conducting and supervising rigorous statistical validation of models against historical and live data.</li><li>
Collaborating with trading teams to incorporate domain expertise into mathematical models.</li><li>
Partnering with software architects and developers to ensure alignment with technical solutions.</li><li>
Optimising model performance for both accuracy and computational efficiency.</li><li>
Researching and implementing novel approaches from academic literature and industry advancements.</li><li>
Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities.</li><li>
Identifying and defining new opportunities for data-driven insights.</li></ul><div></div>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</div>

Lead Data Scientist, Sports

Join bet365 and explore 12   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

bet365

About Company

Data Scientist, Sports

Data Scientist, Sports

Data Scientist, Sports

Data Scientist, Sports

Observability Engineer

Software Development Team Lead - Regulatory Data

Lead Data Scientist, Sports