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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Matchroom Multi Sport and the World Nineball Tour (WNT) continues to grow rapidly, expanding its brand and global reach. We are looking to hire a Junior Social Media Executive to support content creation, channel growth, and on-site media delivery at live events. Responsibilities • Daily management and posting across Matchroom Pool social channels., • Creation of short-form video, reels, TikToks, and behind-the-scenes content., • Assisting in live coverage of WNT event, including photography, video capture, and graphic support., • Monitoring analytics, reporting on channel performance, and identifying growth opportunities., • Supporting sponsor activations and digital deliverables., • Assisting with marketing on socials to drive ticket sales., • Management of CEO social channels as an arm of the WNT/Multi Sport promotional platforms. Qualifications & Skills Essential • Degree (or equivalent experience) in Marketing, Media, Communications, Journalism, or a related field., • Demonstrable experience managing or creating content for social media platforms (Instagram, TikTok, X, YouTube, Facebook)., • Strong understanding of social media trends, algorithms, and best practices for sports content., • Proficiency in short-form video creation and editing (e.g. Adobe Premiere Pro, CapCut, Final Cut, or similar)., • Basic graphic design skills (Photoshop, Canva, Illustrator, or similar)., • Excellent written communication, with the ability to write engaging, on-brand captions and copy., • Strong organisational skills, ability to manage multiple tasks, and work to deadlines in a fast-paced environment., • Flexibility to travel internationally and work unsociable hours during live events., • Basic understanding of marketing across social media and the tools within them., • Full UK driving licence Desirable • Experience working in live sports, entertainment, or events industries., • Knowledge of pool, snooker, or other cue sports., • Experience using social media analytics tools (Meta Business Suite, TikTok Analytics, YouTube Studio, etc.)., • Understanding of influencer and community engagement strategies., • Previous involvement in sponsor activation or branded content creation. Personal Attributes • Passionate about sports and storytelling., • Creative mindset with attention to detail., • Proactive, adaptable, and a team player., • Willingness to learn and develop within the role. Other Details • Suitable for a recent university graduate., • Candidattes should live within easily commuting distance of the Matchroom Head Office in Brentwood, Essex (Cm14 5LJ). If you require any further information please get in touch,

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favourite sports teams and competitions. How do we add value? * Media outlets add a little magic to their coverage with our stats and graphics packages. * Sportsbooks can offer better predictions and more accurate odds. * The world's top coaches are known to use our data to make critical team decisions. * Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Responsibilities: * Researching, developing, and implementing innovative machine learning techniques to Stats Perform’s wealth of sports data, across various sports, such as soccer and tennis. * Productizing your models alongside engineers and product teams, in a quick and efficient way. * Presenting your solutions to other internal teams, broadening AI proficiency in the company. * Providing technical guidance to various teams on the artificial intelligence approaches that our team uses. * Identify new AI solutions for emerging problems, create requirements and propose an outline a roadmap for delivering the project. * Support, train and mentor team members on best machine learning implementation practices. Required Qualifications: * Master’s or PhD in data science, computer science, mathematics, statistics or related STEM fields. * 3+ years of experience working as a data scientist (or similar role). * Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). * Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.). * Comfortable designing and creating neural network architectures, tree-based methods and applying upcoming technologies from scratch. We want you to be the creator of the next generation of AI models from Stats Perform! * Experience deploying models in cloud environments (such as AWS/Google Cloud), making models production-ready and integrating them in end-to-end cloud pipelines. At Stats Perform you will be co-responsible for ensuring the models you have created are performing in a real-world environment. * Fluency in English; excellent verbal and written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders. Desired Qualifications: * Experience with sports event and/or tracking data and deep interest in sports, in particular soccer and tennis. * Knowledge of the sports analytics landscape and latest research. We want to stay on top of the latest research in the sports world and apply the latest techniques in our projects. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.