143 Sports Betting jobs in the United Kingdom

At Champion Data, our dedicated team are united by sport and driven by data. We strive to revolutionise and transform sport data globally by leveraging our cutting-edge technology and expert team, ensuring we deliver the best possible outcomes for our partners and clients.

About the job

We’re building the next generation of our Sport Data Platform — and we need a Senior Product Manager with real-world European sports and betting experience to help us shape it

Reporting to our Chief Product Officer based in Melbourne Australia and working directly with our CTO in the UK, you’ll combine product expertise with deep market knowledge to ensure our platform is competitive, relevant, and commercially successful.

You’ll conduct client research, develop user personas, identify product gaps, analyse competitors, and guide feature development — bringing the voice of the market into every decision we make.

This role is perfect for someone who thrives at the intersection of product strategy, industry insight, and hands-on delivery.

Key Responsibilities

• Lead product planning and delivery for the Sport Data Platform
• Bring expert knowledge of European sports and betting markets to guide strategy
• Conduct market and competitor research to identify gaps and opportunities
• Develop detailed customer personas and map user journeys
• Translate research findings into clear requirements for engineering teams
• Act as a product ambassador in client meetings and industry discussions

About You

• 5+ years in product management, product ownership, or senior product specialist roles
• Direct experience in sports betting and/or European sports industry
• Proven track record delivering complex platform or data products
• Strong analytical skills and experience with persona development and product gap analysis
• Confident communicator with both technical and commercial teams

Please note that this is a hybrid role. The successful candidate will need to spend a couple of days a week with our team in either London or Leeds.

Tell me more about Champion Data

For over 20 years, Champion data has been at the forefront of delivering sports stats globally.With a global presence in Australia, the USA, the UK, and Asia, we specialise in real-time data collection, storage, analysis, distribution, and visualisation. We track every play and movement, delivering unbeatable game intel through seamless integration systems. Our unrivalled visual packages, in partnership with leading media outlets, ensure a sensational sports broadcast experience. We work across numerous major sports, including AFL, NRL, Football, Horse Racing, World Netball, LIV Golf, Tennis, and Lacrosse. As we continue to expand globally, we aim to solidify our position as the leading sports data company.

At Champion Data, our people are at the core of our success, driving the innovation and passion that underpin our company culture. By joining our team, you will be part of a motivated group with a ‘can-do’ attitude, eager to embrace challenges and committed to personal and professional growth. At Champion Data we will enable you to be your own champion.

Our Core Values:

To challenge the Playbook / To be an Elite Partner / To Champion Team

Why Join Champion Data?

We offer flexible hybrid working arrangements, financial support for setting up a remote workspace and a strong focus on health and wellbeing. Our team culture is vibrant and supportive, including regular social events, team lunches, and more. We also provide extensive employee benefits, including access to our wellness program and additional leave through Mindful Me Days.

What benefits does Champion Data offer the team in the UK?

• Mindful Me Days : Four days per year dedicated to your wellbeing
• Flexible Working : Our team works globally in a hybrid environment, which includes two weeks per year, during which you can work remotely from anywhere worldwide.
• UK Office : Access to a co-working space in Soho, London.
• Our spaces : all of our offices have great end-of-journey facilities; including showers, wellness/prayer room & games
• Employee Assistance Programs: 24/7 Access to financial support and counselling
• Wellness Incentive: To help support your home office setup or contribute towards a wellness activity/service of your choosing
• Get to the Game: Funds towards tickets for you and your family/friends to attend sporting events globally.
• Advance You Learning and Development: Annual budget to spend on learning and development activities plus Brain Block Time , this is time set aside monthly to learn or study.
• Go1 Learning : Access to an external learning platform Go1
• Social Events: Including an annual Family Day & Volunteer Day
• Paid Parental Leave

When you join Champion Data, you will have the opportunity to step into a fast-growing, dynamic business during an exciting period of expansion. Each day brings new challenges and opportunities to collaborate with diverse clients across the sports, technology, and broadcast media industries.

We look forward to hearing from you and welcoming you to Champion Data.

#thestorybehindthegame

At Champion Data, our dedicated team are united by sport and driven by data. We strive to revolutionise and transform sport data globally by leveraging our cutting-edge technology and expert team, ensuring we deliver the best possible outcomes for our partners and clients.

About the job

We’re building the next generation of our Sport Data Platform — and we need a Senior Product Manager with real-world European sports and betting experience to help us shape it

Reporting to our Chief Product Officer based in Melbourne Australia and working directly with our CTO in the UK, you’ll combine product expertise with deep market knowledge to ensure our platform is competitive, relevant, and commercially successful.

You’ll conduct client research, develop user personas, identify product gaps, analyse competitors, and guide feature development — bringing the voice of the market into every decision we make.

This role is perfect for someone who thrives at the intersection of product strategy, industry insight, and hands-on delivery.

Key Responsibilities

• Lead product planning and delivery for the Sport Data Platform
• Bring expert knowledge of European sports and betting markets to guide strategy
• Conduct market and competitor research to identify gaps and opportunities
• Develop detailed customer personas and map user journeys
• Translate research findings into clear requirements for engineering teams
• Act as a product ambassador in client meetings and industry discussions

About You

• 5+ years in product management, product ownership, or senior product specialist roles
• Direct experience in sports betting and/or European sports industry
• Proven track record delivering complex platform or data products
• Strong analytical skills and experience with persona development and product gap analysis
• Confident communicator with both technical and commercial teams

Please note that this is a hybrid role. The successful candidate will need to spend a couple of days a week with our team in either London or Leeds.

Tell me more about Champion Data

For over 20 years, Champion data has been at the forefront of delivering sports stats globally.With a global presence in Australia, the USA, the UK, and Asia, we specialise in real-time data collection, storage, analysis, distribution, and visualisation. We track every play and movement, delivering unbeatable game intel through seamless integration systems. Our unrivalled visual packages, in partnership with leading media outlets, ensure a sensational sports broadcast experience. We work across numerous major sports, including AFL, NRL, Football, Horse Racing, World Netball, LIV Golf, Tennis, and Lacrosse. As we continue to expand globally, we aim to solidify our position as the leading sports data company.

At Champion Data, our people are at the core of our success, driving the innovation and passion that underpin our company culture. By joining our team, you will be part of a motivated group with a ‘can-do’ attitude, eager to embrace challenges and committed to personal and professional growth. At Champion Data we will enable you to be your own champion.

Our Core Values:

To challenge the Playbook / To be an Elite Partner / To Champion Team

Why Join Champion Data?

We offer flexible hybrid working arrangements, financial support for setting up a remote workspace and a strong focus on health and wellbeing. Our team culture is vibrant and supportive, including regular social events, team lunches, and more. We also provide extensive employee benefits, including access to our wellness program and additional leave through Mindful Me Days.

What benefits does Champion Data offer the team in the UK?

• Mindful Me Days: Four days per year dedicated to your wellbeing
• Flexible Working: Our team works globally in a hybrid environment, which includes two weeks per year, during which you can work remotely from anywhere worldwide.
• UK Office: Access to a co-working space in Soho, London.
• Our spaces: all of our offices have great end-of-journey facilities; including showers, wellness/prayer room & games
• Employee Assistance Programs: 24/7 Access to financial support and counselling
• Wellness Incentive: To help support your home office setup or contribute towards a wellness activity/service of your choosing
• Get to the Game: Funds towards tickets for you and your family/friends to attend sporting events globally.
• Advance You Learning and Development: Annual budget to spend on learning and development activities plus Brain Block Time, this is time set aside monthly to learn or study.
• Go1 Learning: Access to an external learning platform Go1
• Social Events: Including an annual Family Day & Volunteer Day
• Paid Parental Leave

When you join Champion Data, you will have the opportunity to step into a fast-growing, dynamic business during an exciting period of expansion. Each day brings new challenges and opportunities to collaborate with diverse clients across the sports, technology, and broadcast media industries.

We look forward to hearing from you and welcoming you to Champion Data.

#thestorybehindthegame

Data Scientist

Salary: £55-70k plus attractive bonus on top

Location: London or Leeds (hybrid working, if preferred)

About us

We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company.

Purpose of the role

As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands.

You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment.

Key responsibilities

• Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets.
• Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles.
• Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team.
• Perform data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support continuous model improvement.
• Write clean, efficient, well-documented code aligned with team standards for structure, reproducibility, and version control.
• Work collaboratively with other Data Scientists to propose ideas, troubleshoot modelling challenges, and refine methodologies.
• Contribute to the delivery of accurate, reliable forecasts with low latency under evolving client or market demands.
• Participate in code reviews and collaborative design sessions to uphold technical quality across the team.
• Provide mentorship and support to Junior Data Scientists working on the same or related projects.

Experience and knowledge

2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs.

Skills and competencies

Essential:

• Experience working with Python or R in a production or research setting.
• Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr).
• Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow.
• Experience working with SQL and relational databases.
• Ability to explain model behaviour through visualisations and reports.
• Familiarity with Git and collaborative development workflows.
• Good written and verbal communication; able to contribute to cross-functional discussions.
• Proven problem-solving and time management skills.

Desirable:

• Familiarity with cloud services (e.g. AWS S3, Athena, Lambda).
• Basic understanding of data engineering or ML pipelines.
• Knowledge of distributed systems (e.g. Kafka).
• Interest in American sports or the betting industry.
• Some exposure to .NET-based systems or application integration.

Follow our company page, OTA Recruitment Limited, on LinkedIn to stay updated on current and upcoming job vacancies

Data Scientist

Salary: £55-70k plus attractive bonus on top

Location: London or Leeds (hybrid working, if preferred)

About us

We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company.

Purpose of the role

As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands.

You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment.

Key responsibilities

• Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets.
• Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles.
• Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team.
• Perform data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support continuous model improvement.
• Write clean, efficient, well-documented code aligned with team standards for structure, reproducibility, and version control.
• Work collaboratively with other Data Scientists to propose ideas, troubleshoot modelling challenges, and refine methodologies.
• Contribute to the delivery of accurate, reliable forecasts with low latency under evolving client or market demands.
• Participate in code reviews and collaborative design sessions to uphold technical quality across the team.
• Provide mentorship and support to Junior Data Scientists working on the same or related projects.

Experience and knowledge

2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs.

Skills and competencies

Essential:

• Experience working with Python or R in a production or research setting.
• Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr).
• Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow.
• Experience working with SQL and relational databases.
• Ability to explain model behaviour through visualisations and reports.
• Familiarity with Git and collaborative development workflows.
• Good written and verbal communication; able to contribute to cross-functional discussions.
• Proven problem-solving and time management skills.

Desirable:

• Familiarity with cloud services (e.g. AWS S3, Athena, Lambda).
• Basic understanding of data engineering or ML pipelines.
• Knowledge of distributed systems (e.g. Kafka).
• Interest in American sports or the betting industry.
• Some exposure to .NET-based systems or application integration.

Follow our company page, OTA Recruitment Limited, on LinkedIn to stay updated on current and upcoming job vacancies

Data Scientist

Salary: £55-70k plus attractive bonus on top

Location: London or Leeds (hybrid working, if preferred)

About us

We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company.

Purpose of the role

As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands.

You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment.

Key responsibilities

• Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets.
• Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles.
• Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team.
• Perform data cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation to support continuous model improvement.
• Write clean, efficient, well-documented code aligned with team standards for structure, reproducibility, and version control.
• Work collaboratively with other Data Scientists to propose ideas, troubleshoot modelling challenges, and refine methodologies.
• Contribute to the delivery of accurate, reliable forecasts with low latency under evolving client or market demands.
• Participate in code reviews and collaborative design sessions to uphold technical quality across the team.
• Provide mentorship and support to Junior Data Scientists working on the same or related projects.

Experience and knowledge

2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs.

Skills and competencies

Essential:

• Experience working with Python or R in a production or research setting.
• Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr).
• Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow.
• Experience working with SQL and relational databases.
• Ability to explain model behaviour through visualisations and reports.
• Familiarity with Git and collaborative development workflows.
• Good written and verbal communication; able to contribute to cross-functional discussions.
• Proven problem-solving and time management skills.

Desirable:

• Familiarity with cloud services (e.g. AWS S3, Athena, Lambda).
• Basic understanding of data engineering or ML pipelines.
• Knowledge of distributed systems (e.g. Kafka).
• Interest in American sports or the betting industry.
• Some exposure to .NET-based systems or application integration.

Follow our company page, OTA Recruitment Limited, on LinkedIn to stay updated on current and upcoming job vacancies