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…
Nuclear Senior Process Engineer (Full-time / Part-time)
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Lecturer in Computing (Level 6 Capstone Project Lead)- Manchester
Manchester, England, United Kingdom · Hybrid
$43k–$48k/yr
Senior
Salary - £43,306 - £47,728 London weighting: £4,000 per annum (if applicable) Employment type: Permanent Hours per week: 37 Reporting into: Senior Lecturer Department: School of STEM Click here to read the full job descr…
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Full-time
postgraduate degree
Posted 54d ago
~40 hrs/week
Responsibilities
Lead the development of advanced probabilistic models and machine learning solutions to power real-time sports betting markets. Collaborate with trading teams and software architects to implement scalable, computationally efficient pricing models.
Requirements
Requires a Master's or PhD in a quantitative field and proven experience leading the design and deployment of complex predictive models. Expertise in Python/R and ML frameworks is essential, along with a track record of mentoring junior staff.
Full job description
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. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’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
Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives.
Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.
Proven success in leading the design, development, and deployment of sophisticated predictive models.
Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch,
Proven ability to design and implement complex machine learning solutions and guiding best practice.
Deep understanding of statistical analysis and probability theory.
Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments.
Track record of mentoring junior colleagues and successfully leading technical projects.
Experience with cloud computing environments for scalable solutions.
Additional Information
Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches.
Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.
Developing predictive models and algorithms using statistical techniques and machine learning.
Conducting and supervising rigorous statistical validation of models against historical and live data.
Collaborating with trading teams to incorporate domain expertise into mathematical models.
Partnering with software architects and developers to ensure alignment with technical solutions.
Optimising model performance for both accuracy and computational efficiency.
Researching and implementing novel approaches from academic literature and industry advancements.
Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities.
Identifying and defining new opportunities for data-driven insights.
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’t hesitate to reach out.
Workplace Type: Hybrid
Department: Sports Platform
Full Time/Part Time: Full Time
Shift Pattern: N/A
2nd Office Location: UK - Manchester
Job Type: Standard
Related keywords
Data ScienceSports BettingIn-Play BettingProbabilistic ModelsMachine LearningPythonRScikit-learnTensorFlowPyTorchStatistical ValidationCloud ComputingQuantitative AnalysisPredictive AlgorithmsScalabilityReal-time Data
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. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’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.
Offices: bet365 House, Media Way, Stoke-on-Trent, Staffordshire ST1 5SZ, GB · Waterport Place, 2 Europort Avenue, Gibraltar, GI · Spring Gardens, Manchester, Manchester M2 1AB, GB · Bulevard Todor Aleksandrov 109, Vazrazhdane, Sofia City, BG · The Centre – Lvl 3, Tigne Point, Sliema, Malta, Sliema, Malta TP01, MT
Sports BettingOnline CasinoPokerGamesBingoInnovationResearch & DevelopmentSoftware DevelopmenttechnologySoftware Development
How many Science & Research jobs are open in Manchester, United Kingdom right now?
There are currently 119 open science & research positions in Manchester, United Kingdom listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Manchester, United Kingdom?
Companies currently hiring include AECOM, Ramboll, Nexperia, THG, Advanced Regenerative Manufacturing Institute (ARMI) | BioFabUSA, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Manchester, United Kingdom?
Yes — 82 of the 119 open science & research positions offer remote or hybrid work (12 remote, 70 hybrid).
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