Lead data scientist Work, Jobs in Chelford, Chs (with Salaries)

Lead Data Scientist, Sports
bet365 —Stoke-on-Trent
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Commercial Data Scientist
PortSwigger —Knutsford
- Full-time
- Sales
- SQL
- Maths
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Lead Data Scientist
Informed Solutions —Altrincham
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
- Referral programme
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Senior Data Scientist - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- Azure
- Master's degree
- SQL
Senior Data Science & Analytics Manager
Booking.com —Manchester
- Hybrid work
- Data analysis skills
- Analysis skills
- Mentoring
- Relocation assistance
- Annual leave
Senior Data Scientist
Informed Solutions —Altrincham
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
- Referral programme
Quick apply
Principal Data Scientist
National Westminster Bank PLC —Manchester
- Full-time
- Hybrid work
- Data analysis skills
- Machine learning
- Leadership
- Annual leave
19h
Principal Data Scientist and Machine Learning Researcher (eDV)
Frontier Resourcing —Manchester
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
Quick apply
Data Science & AI Lead
National Westminster Bank PLC —Manchester
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
- Annual leave
1d
Vice President, Data Scientist – AI Hub
The Bank of New York Mellon Corporation —Manchester
- Full-time
- Computer Science
- Engineering
- Master's degree
Lead AI Engineer
BBC —Salford
- £80,000 - £90,000 a year
- Full-time
- Azure
- Master's degree
- AWS
Lead Machine Learning Engineer (Manchester)
Fitch Group —Manchester
- Azure
- Java
- Master's degree

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Lead Data Scientist, Sports

bet365 -
Stoke-on-Trent

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Job details

Full-time

Qualifications

TensorFlow
Doctoral degree
Computer Science
PyTorch
Mathematics
Master's degree
Statistical analysis
Quality assurance
Machine learning
Mentoring
Cloud computing
Business
Python

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.

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’t hesitate to reach out.

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