Love solving complex technical problems and making things work better, faster and smarter? Join us at LEX Diagnostics, where we're developing ultra-rapid PCR diagnostics that are reshaping how healthcare providers diagnose and respond to infectious diseases. We're not just innovating in the lab, we're building the processes, systems, and tools that will take our technology into mass production. We're looking for a Project Engineer to help drive that transition. We need you, a person that's hands on, practical, collaborative, and ready to own key engineering projects within our manufacturing operation. What the role's all about: You'll play a central role in scaling up and optimising our cartridge manufacturing processes. From specifying equipment and improving workflows to supporting new product introductions and writing SOPs, this is a varied, challenging role where you'll need both your engineering brain and your ability to make things happen. You'll work closely with scientists, technicians, and programme managers to ensure our production systems are robust, safe, and ready to meet the demands of commercial-scale diagnostics. You'll be responsible for: Managing engineering projects that support manufacturing growth and efficiency Identifying and implementing new facilities, equipment, and tooling Supporting tech transfers into both existing and new manufacturing environments Providing hands-on engineering support to troubleshoot and improve processes Contributing to consumable design and experimental cartridge production Writing and maintaining SOPs, risk assessments, and COSHH documentation Collaborating cross-functionally to ensure project delivery and resource alignment Capturing lessons learned and contributing to IP generation Delivering internal training and presentations across teams Applying Lean and Six Sigma methodologies where appropriate for continuous improvement What we're looking for: A degree in engineering or a related technical field (or equivalent experience) Experience in a cleanroom or high-tech manufacturing environment Hands-on experience with heat sealing, ultrasonic welding, and process development Excellent problem-solving skills, you like rolling up your sleeves and finding smart, practical solutions Strong mechanical understanding and a pragmatic, can-do attitude Comfortable working across teams in a fast-moving, multidisciplinary environment Well-organised, detail-oriented, and driven to see complex projects through to completion Experience with ISO 13485 or similar regulated manufacturing is a big plus Who you'll work with: Our Director of Cartridge Manufacturing and Programme Managers Cross functional teams including engineers, technicians, and scientists Third-party partners and external stakeholders Our working culture encourages entrepreneurship, shared ideas, and technical collaboration, while providing you the freedom to do your best work. We also offer fantastic employee benefits including: Employer pension contribution of 10% (+3% personal contribution) Private Medical Insurance Life insurance 25 days' annual holiday plus bank holidays Discounts and memberships to local sports facilities and the theatre Who are we and what does the future hold for you? LEX Diagnostics was founded in 2020. Our innovative system integrates effortlessly into primary care settings, bringing PCR-level sensitivity to urgent care centres, physicians, labs, and pharmacies, all at a significantly lower cost per test than other molecular platforms. Bringing new diagnostics technology to market is tough! 2025 is a milestone year for us as we've just submitted dual 510(k) CLIA waiver applications to the U.S. FDA. This means you will be an important part of a high impact launch that will enhance your future career credentials. The Future In December 2023, QuidelOrtho invested in LEX Diagnostics, which included the exclusive option to acquire the company up to or shortly after 510(k) clearance by the FDA. In QuidelOrtho, we have an investment partner that recognises the capabilities of our team, and are excited for what we can continue to build together We are optimistic to receive 510(k) clearance in late 2025 or early 2026. What this means for you More Resources - Manufacturing scale, regulatory & distribution infrastructure R&D Focus - Concentrated innovation around LEX platform and test menu Career Mobility - As well as creating a cross-disciplinary development environment in science and engineering, LEX employees can transition into broader roles (e.g., regulatory affairs, global supply chain, sales, clinical affairs) across the integrated organisation. Global Exposure - International workflows & markets (US & EU) Impact & Stability - Increased product reach and organisational strength Development - Structured programs and training opportunities 2026 should see the elevation of the LEX Diagnostics team from startup environment into a well-supported, international diagnostics powerhouse without sacrificing the very thing that made our team successful, innovation. You'll help drive forward a unique, market-leading platform within a growing team that needs to invest in your development and career growth. This is your opportunity to join the team that's delivering the future of point of need diagnostics. Apply now and become a part of something genuinely meaningful.
Aug 23, 2025
Full time
Love solving complex technical problems and making things work better, faster and smarter? Join us at LEX Diagnostics, where we're developing ultra-rapid PCR diagnostics that are reshaping how healthcare providers diagnose and respond to infectious diseases. We're not just innovating in the lab, we're building the processes, systems, and tools that will take our technology into mass production. We're looking for a Project Engineer to help drive that transition. We need you, a person that's hands on, practical, collaborative, and ready to own key engineering projects within our manufacturing operation. What the role's all about: You'll play a central role in scaling up and optimising our cartridge manufacturing processes. From specifying equipment and improving workflows to supporting new product introductions and writing SOPs, this is a varied, challenging role where you'll need both your engineering brain and your ability to make things happen. You'll work closely with scientists, technicians, and programme managers to ensure our production systems are robust, safe, and ready to meet the demands of commercial-scale diagnostics. You'll be responsible for: Managing engineering projects that support manufacturing growth and efficiency Identifying and implementing new facilities, equipment, and tooling Supporting tech transfers into both existing and new manufacturing environments Providing hands-on engineering support to troubleshoot and improve processes Contributing to consumable design and experimental cartridge production Writing and maintaining SOPs, risk assessments, and COSHH documentation Collaborating cross-functionally to ensure project delivery and resource alignment Capturing lessons learned and contributing to IP generation Delivering internal training and presentations across teams Applying Lean and Six Sigma methodologies where appropriate for continuous improvement What we're looking for: A degree in engineering or a related technical field (or equivalent experience) Experience in a cleanroom or high-tech manufacturing environment Hands-on experience with heat sealing, ultrasonic welding, and process development Excellent problem-solving skills, you like rolling up your sleeves and finding smart, practical solutions Strong mechanical understanding and a pragmatic, can-do attitude Comfortable working across teams in a fast-moving, multidisciplinary environment Well-organised, detail-oriented, and driven to see complex projects through to completion Experience with ISO 13485 or similar regulated manufacturing is a big plus Who you'll work with: Our Director of Cartridge Manufacturing and Programme Managers Cross functional teams including engineers, technicians, and scientists Third-party partners and external stakeholders Our working culture encourages entrepreneurship, shared ideas, and technical collaboration, while providing you the freedom to do your best work. We also offer fantastic employee benefits including: Employer pension contribution of 10% (+3% personal contribution) Private Medical Insurance Life insurance 25 days' annual holiday plus bank holidays Discounts and memberships to local sports facilities and the theatre Who are we and what does the future hold for you? LEX Diagnostics was founded in 2020. Our innovative system integrates effortlessly into primary care settings, bringing PCR-level sensitivity to urgent care centres, physicians, labs, and pharmacies, all at a significantly lower cost per test than other molecular platforms. Bringing new diagnostics technology to market is tough! 2025 is a milestone year for us as we've just submitted dual 510(k) CLIA waiver applications to the U.S. FDA. This means you will be an important part of a high impact launch that will enhance your future career credentials. The Future In December 2023, QuidelOrtho invested in LEX Diagnostics, which included the exclusive option to acquire the company up to or shortly after 510(k) clearance by the FDA. In QuidelOrtho, we have an investment partner that recognises the capabilities of our team, and are excited for what we can continue to build together We are optimistic to receive 510(k) clearance in late 2025 or early 2026. What this means for you More Resources - Manufacturing scale, regulatory & distribution infrastructure R&D Focus - Concentrated innovation around LEX platform and test menu Career Mobility - As well as creating a cross-disciplinary development environment in science and engineering, LEX employees can transition into broader roles (e.g., regulatory affairs, global supply chain, sales, clinical affairs) across the integrated organisation. Global Exposure - International workflows & markets (US & EU) Impact & Stability - Increased product reach and organisational strength Development - Structured programs and training opportunities 2026 should see the elevation of the LEX Diagnostics team from startup environment into a well-supported, international diagnostics powerhouse without sacrificing the very thing that made our team successful, innovation. You'll help drive forward a unique, market-leading platform within a growing team that needs to invest in your development and career growth. This is your opportunity to join the team that's delivering the future of point of need diagnostics. Apply now and become a part of something genuinely meaningful.
The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive. NBCUniversal is looking for a detail-oriented Data Product Manager As a member of the Decision Sciences team, you will champion a Data-as-a-Product mindset.Bringing in-depth data understanding to the team, you will play a key role in owning, managing and supporting the data across the underlying systems and technology stack.The data in focus will be driven from the product experience across growth, acquisition, engagement, ads and churn experiences.This will allow the product analytics and experimentation and supporting data engineering teams to maintain accurate data sets, maintain data driven product decisions, and support an in house experimentation statistical engine.These data sets directly impact customer experience and are tied to business outcomes worth more than $200M of incremental value added per year. The successful candidate will need to be agile delivery focused and have a broad data background across requirements, data engineering, data governance and clickstream analytics. Comfortable working with demanding stakeholders in a complex, fast paced environment. Responsibilities include, but are not limited to: Work closely with the product analytics, experimentation and data engineering team; provide data expertise into the definition of data requirements through user stories to inform the scope and design of data needs, planning and being available for technical inquiries and support. Guide stakeholders through strategy, processes and create playbooks to support seamless product analysis (including experimentation). Own the design and enhancements of the product analytics mart which helps analyse and report on product analysis and experiment results in an automated manner. Work with the data teams to ensure data and metrics are accurate and reliable, maintain a roadmap of prioritized improvements to the data set and program manage crossfunctional projects. Act as the "data domain" expert across Decision Science and the wider D2C stakeholder community. Comfortable with utilising SQL and other tools to explore and deeply understand the data. Adopt and advocate for a data-as-a-product mindset while evangelizing the utilization of data and advanced analytics to inform critical business decisions Understand the product vision, both from a business and data perspective Work closely with a cross-functional delivery team, data architects, data analysts, product and project management teams to collaboratively defining roadmaps, requirements and solutions. Work with the Data Governance team to make sure the integrity and utilization of data adheres to NBCU's data governance standards and processes, ensuring fitness of data elements Qualifications Bachelor's degree in the field of computer science or engineering, or focus on data/statistical analysis or equivalent experience highly desired. Experience working as a Product or Data Engineering Manager role overseeing clickstream/product data. Experience operating in a large, complex organisation and managing the demands of mulriple stakeholders. Detail and results oriented, able to write detailed specs and analyze data to justify product decisions, and apply key learnings. Strong understanding of clickstream data and product instrumentation/tagging strategy Ability to manipulate and analyse data using tools like SQL, R or Python. Excellent written and verbal communication skills. Ability to communicate and coordinate between teams. Excellent influencing and negotiation skills - ability to manage expectations. Strong problem-solving skills and ability to logically analyze complex requirements, data sets, processes and systems. Excellent organizational skills that will allow you to deal with uncertainty by creating structure and prioritizing effectively. Experience of working in an agile environment. Desired Characteristics: Problem solving skills with experience collaborating with data scientists, engineers and analysts to derive insights for informed decision making. Passionate about data and evangelical about it's role in driving better business decisions. Creative problem-solver; takes a high level of initiative, has a strong sense of personal accountability to follow-through at all times. Demonstrates organizational savvy by successfully navigating complex, highly matrixed and decentralized organization. Takes an informed and inspired view to deliver superior results by creating value and opportunity. Not afraid to challenge and comfortable expressing their opintions while also being receptive to the views of others.
Aug 21, 2025
Full time
The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive. NBCUniversal is looking for a detail-oriented Data Product Manager As a member of the Decision Sciences team, you will champion a Data-as-a-Product mindset.Bringing in-depth data understanding to the team, you will play a key role in owning, managing and supporting the data across the underlying systems and technology stack.The data in focus will be driven from the product experience across growth, acquisition, engagement, ads and churn experiences.This will allow the product analytics and experimentation and supporting data engineering teams to maintain accurate data sets, maintain data driven product decisions, and support an in house experimentation statistical engine.These data sets directly impact customer experience and are tied to business outcomes worth more than $200M of incremental value added per year. The successful candidate will need to be agile delivery focused and have a broad data background across requirements, data engineering, data governance and clickstream analytics. Comfortable working with demanding stakeholders in a complex, fast paced environment. Responsibilities include, but are not limited to: Work closely with the product analytics, experimentation and data engineering team; provide data expertise into the definition of data requirements through user stories to inform the scope and design of data needs, planning and being available for technical inquiries and support. Guide stakeholders through strategy, processes and create playbooks to support seamless product analysis (including experimentation). Own the design and enhancements of the product analytics mart which helps analyse and report on product analysis and experiment results in an automated manner. Work with the data teams to ensure data and metrics are accurate and reliable, maintain a roadmap of prioritized improvements to the data set and program manage crossfunctional projects. Act as the "data domain" expert across Decision Science and the wider D2C stakeholder community. Comfortable with utilising SQL and other tools to explore and deeply understand the data. Adopt and advocate for a data-as-a-product mindset while evangelizing the utilization of data and advanced analytics to inform critical business decisions Understand the product vision, both from a business and data perspective Work closely with a cross-functional delivery team, data architects, data analysts, product and project management teams to collaboratively defining roadmaps, requirements and solutions. Work with the Data Governance team to make sure the integrity and utilization of data adheres to NBCU's data governance standards and processes, ensuring fitness of data elements Qualifications Bachelor's degree in the field of computer science or engineering, or focus on data/statistical analysis or equivalent experience highly desired. Experience working as a Product or Data Engineering Manager role overseeing clickstream/product data. Experience operating in a large, complex organisation and managing the demands of mulriple stakeholders. Detail and results oriented, able to write detailed specs and analyze data to justify product decisions, and apply key learnings. Strong understanding of clickstream data and product instrumentation/tagging strategy Ability to manipulate and analyse data using tools like SQL, R or Python. Excellent written and verbal communication skills. Ability to communicate and coordinate between teams. Excellent influencing and negotiation skills - ability to manage expectations. Strong problem-solving skills and ability to logically analyze complex requirements, data sets, processes and systems. Excellent organizational skills that will allow you to deal with uncertainty by creating structure and prioritizing effectively. Experience of working in an agile environment. Desired Characteristics: Problem solving skills with experience collaborating with data scientists, engineers and analysts to derive insights for informed decision making. Passionate about data and evangelical about it's role in driving better business decisions. Creative problem-solver; takes a high level of initiative, has a strong sense of personal accountability to follow-through at all times. Demonstrates organizational savvy by successfully navigating complex, highly matrixed and decentralized organization. Takes an informed and inspired view to deliver superior results by creating value and opportunity. Not afraid to challenge and comfortable expressing their opintions while also being receptive to the views of others.
Data Analytics Manager - Google Analytics, SQL Data Analytics Manager position offering equity stake within a rapid growth online games company. Do you have strong Google Analytics & SQL Skills? Good commercial acumen with ability to deal at CEO & CMO level? Want to head your own department in the next 18 months? The Data Analytics Manager will join a company providing sports betting services to the Crypto-Currency world. The company has grown over 1000% in the last 18 months. You will report into the Chief Data Scientist, but also work very closely with the CMO, as well as having regular contact with the CEO. Over the next 18 months the Data Analytics Manager will be given the opportunity to own this area of the business and grow a team. You will be responsible for 3 areas of the business -focused around Customer Experience: BI reporting - delivering performance reviews on a quarterly basis to senior managment Monthly insight reports - delivering a more tactical 'what did we learn this month' piece to the wider team Getting data to the right people - using SQL or other languages to produce data-only reports that can be automated and sent to various different department heads Data Analytics Manager -Required Skills: Very strong Analytically, probably coming from a Numerate degree background SQL Very good Google Analytics skills Experience of building dashboards & reports Experience of presenting insights to senior business managers You will join a company with a very close knit office culture, where having fun & socialising together is a core part of the companies values. They expect their staff to be positive & ambitious, with a desire for self learning and being the best they can be. Apply now for the Data Analytics Manager role.
Aug 21, 2025
Full time
Data Analytics Manager - Google Analytics, SQL Data Analytics Manager position offering equity stake within a rapid growth online games company. Do you have strong Google Analytics & SQL Skills? Good commercial acumen with ability to deal at CEO & CMO level? Want to head your own department in the next 18 months? The Data Analytics Manager will join a company providing sports betting services to the Crypto-Currency world. The company has grown over 1000% in the last 18 months. You will report into the Chief Data Scientist, but also work very closely with the CMO, as well as having regular contact with the CEO. Over the next 18 months the Data Analytics Manager will be given the opportunity to own this area of the business and grow a team. You will be responsible for 3 areas of the business -focused around Customer Experience: BI reporting - delivering performance reviews on a quarterly basis to senior managment Monthly insight reports - delivering a more tactical 'what did we learn this month' piece to the wider team Getting data to the right people - using SQL or other languages to produce data-only reports that can be automated and sent to various different department heads Data Analytics Manager -Required Skills: Very strong Analytically, probably coming from a Numerate degree background SQL Very good Google Analytics skills Experience of building dashboards & reports Experience of presenting insights to senior business managers You will join a company with a very close knit office culture, where having fun & socialising together is a core part of the companies values. They expect their staff to be positive & ambitious, with a desire for self learning and being the best they can be. Apply now for the Data Analytics Manager role.
Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world. Kitman Labs' advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. The Role Are you passionate about quality? Are you competent in executing test cases & passionate about SaaS products, applications & systems? We are looking for a Senior QA Tester to join our team to work with cross-functional teams to ensure quality throughout our software development lifecycle, to help us assess & improve our software quality through manual and automated testing. As a QA Tester in Kitman Labs you will use your attention to detail and passion for quality to understand product requirements and develop comprehensive test plans that will deliver robust systems to our clients We will expect you to; Work directly with Engineering and Product to deliver high quality features to our clients Work cross functionally to participate in all aspects of the software development lifecycle from planning to execution of tests Execute test cases (manual or automated) and analyse results Evaluate product code according to specifications Identify test scenarios based on requirements Develop and agree test plans with product and engineering leadership Review test results and provide feedback to team leadership Identify software bugs and provide analysis to drive quality within the team Act as the voice of quality within the team at all times Must have skills; Focused on quality with a strong attention to detail Knowledge of the SDLC Proven experience as a Quality Assurance Tester or similar role Experience with Agile testing methodologies. Proficiency in creating, executing, and managing test cases and test plans. Understanding of functional, regression, system, and user acceptance testing. Experience with defect tracking and management tools like JIRA, or equivalent. Strong ability to identify and report bugs, along with detailed documentation of issues. Nice to have skills; Familiarity with Agile frameworks and Automation testing is a plus Self motivated with the ability to work on own initiative or as part of a team Communication and presentation skills ISTQB Foundation level certification or equivalent Experience with different test types Expertise using different test tools Knowledge of databases and SQL Analytical mind and problem-solving aptitude Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture. We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this: - Competitive salary - Health insurance for employee & dependants - Meaningful equity - Pension Plan - Life Cover - Income protection - Wellbeing benefits Location While this role allows for remote work, occasional face-to-face-gatherings are recommended. Diversity In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds.We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation.If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy
Aug 21, 2025
Full time
Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world. Kitman Labs' advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. The Role Are you passionate about quality? Are you competent in executing test cases & passionate about SaaS products, applications & systems? We are looking for a Senior QA Tester to join our team to work with cross-functional teams to ensure quality throughout our software development lifecycle, to help us assess & improve our software quality through manual and automated testing. As a QA Tester in Kitman Labs you will use your attention to detail and passion for quality to understand product requirements and develop comprehensive test plans that will deliver robust systems to our clients We will expect you to; Work directly with Engineering and Product to deliver high quality features to our clients Work cross functionally to participate in all aspects of the software development lifecycle from planning to execution of tests Execute test cases (manual or automated) and analyse results Evaluate product code according to specifications Identify test scenarios based on requirements Develop and agree test plans with product and engineering leadership Review test results and provide feedback to team leadership Identify software bugs and provide analysis to drive quality within the team Act as the voice of quality within the team at all times Must have skills; Focused on quality with a strong attention to detail Knowledge of the SDLC Proven experience as a Quality Assurance Tester or similar role Experience with Agile testing methodologies. Proficiency in creating, executing, and managing test cases and test plans. Understanding of functional, regression, system, and user acceptance testing. Experience with defect tracking and management tools like JIRA, or equivalent. Strong ability to identify and report bugs, along with detailed documentation of issues. Nice to have skills; Familiarity with Agile frameworks and Automation testing is a plus Self motivated with the ability to work on own initiative or as part of a team Communication and presentation skills ISTQB Foundation level certification or equivalent Experience with different test types Expertise using different test tools Knowledge of databases and SQL Analytical mind and problem-solving aptitude Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture. We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this: - Competitive salary - Health insurance for employee & dependants - Meaningful equity - Pension Plan - Life Cover - Income protection - Wellbeing benefits Location While this role allows for remote work, occasional face-to-face-gatherings are recommended. Diversity In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds.We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation.If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy
Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world. Kitman Labs' advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. Build Next-Gen Sports Tech Apps! We're on the lookout for passionate iOS developers to join our Mobile Team within our growing Product Engineering group. This team is at the heart of creating cutting-edge tools that empower athletes and coaches worldwide to make data-driven decisions. Our mobile apps are crafted primarily with Swift and SwiftUI, with some Objective-C for legacy support. We embrace a culture of continuous learning, collaboration, and innovation, making this the perfect opportunity for engineers looking to grow and make a real impact. What you'll be doing: Create seamless experiences - Build beautiful, intuitive interfaces that make it easy for users to interact with our platform. Make sense of complex data - Design tools that help visualize sports performance insights and drive decision-making. Focus on quality - We ship fast but never compromise on user experience. You'll be involved in automation, CI/CD, and rapid iteration to ensure reliability. Write scalable, well-tested code - You'll design and implement robust solutions that ensure system scalability and high availability. Prototype & Innovate - Work closely with Product, Design, and Sports Science teams to experiment with new ideas and technical approaches. Shape our technical direction - Your insights will help improve engineering standards, processes, and architecture as we grow. What we're look for: Experience building and shipping multiple mobile applications. Our apps are rich in functionality, Given our broad and diverse user base, we're particularly interested in the range and complexity of the apps you've built. Expertise in Swift & SwiftUI Solid understanding of version control (Git), CI/CD pipelines (e.g., CircleCI, Fastlane), and mobile app deployment workflows. Experience writing unit tests, snapshot tests and UI automation tests to maintain high code quality. Comfortable working with APIs (REST, GraphQL) to integrate real-time data. Experience in agile environments, working in cross-functional teams. Deep understanding of software design patterns, object-oriented programming, and best practices. Analytical problem-solving mindset - you love finding elegant solutions to complex challenges. Bonus skills (nice to have!): Experience working in feature-driven teams with designers, product managers, and engineers. Experience managing dependencies with Swift Package Manager (SPM). Familiarity with Objective-C Experience utilizing Cloud services to rapidly build, deploy and manage robust functionality (serverless functions, notifications hubs, storage etc) Strong UI/UX skills with a focus on usability. Experience working in process-oriented engineering environments. Passion for sports tech is a plus (but not required!) - we value developers who empathize with users and build solutions that help them succeed. Cross-platform experience developing Android apps (we use Kotlin) is a huge plus! Why join us? Work on high-impact products used by athletes and coaches worldwide. Be part of an innovative, fast-moving team with a focus on automation and continuous delivery. Hybrid/remote work flexibility, with a collaborative and supportive team culture. Direct influence on technical decisions and product roadmap. Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture. We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this: - Competitive salary - Health insurance for employee & dependants - Meaningful equity - Pension Plan - Life Cover - Income protection - Wellbeing benefits Location While this role allows for remote work, occasional face-to-face-gatherings are recommended. Diversity In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds.We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation.If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy
Aug 20, 2025
Full time
Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world. Kitman Labs' advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. Build Next-Gen Sports Tech Apps! We're on the lookout for passionate iOS developers to join our Mobile Team within our growing Product Engineering group. This team is at the heart of creating cutting-edge tools that empower athletes and coaches worldwide to make data-driven decisions. Our mobile apps are crafted primarily with Swift and SwiftUI, with some Objective-C for legacy support. We embrace a culture of continuous learning, collaboration, and innovation, making this the perfect opportunity for engineers looking to grow and make a real impact. What you'll be doing: Create seamless experiences - Build beautiful, intuitive interfaces that make it easy for users to interact with our platform. Make sense of complex data - Design tools that help visualize sports performance insights and drive decision-making. Focus on quality - We ship fast but never compromise on user experience. You'll be involved in automation, CI/CD, and rapid iteration to ensure reliability. Write scalable, well-tested code - You'll design and implement robust solutions that ensure system scalability and high availability. Prototype & Innovate - Work closely with Product, Design, and Sports Science teams to experiment with new ideas and technical approaches. Shape our technical direction - Your insights will help improve engineering standards, processes, and architecture as we grow. What we're look for: Experience building and shipping multiple mobile applications. Our apps are rich in functionality, Given our broad and diverse user base, we're particularly interested in the range and complexity of the apps you've built. Expertise in Swift & SwiftUI Solid understanding of version control (Git), CI/CD pipelines (e.g., CircleCI, Fastlane), and mobile app deployment workflows. Experience writing unit tests, snapshot tests and UI automation tests to maintain high code quality. Comfortable working with APIs (REST, GraphQL) to integrate real-time data. Experience in agile environments, working in cross-functional teams. Deep understanding of software design patterns, object-oriented programming, and best practices. Analytical problem-solving mindset - you love finding elegant solutions to complex challenges. Bonus skills (nice to have!): Experience working in feature-driven teams with designers, product managers, and engineers. Experience managing dependencies with Swift Package Manager (SPM). Familiarity with Objective-C Experience utilizing Cloud services to rapidly build, deploy and manage robust functionality (serverless functions, notifications hubs, storage etc) Strong UI/UX skills with a focus on usability. Experience working in process-oriented engineering environments. Passion for sports tech is a plus (but not required!) - we value developers who empathize with users and build solutions that help them succeed. Cross-platform experience developing Android apps (we use Kotlin) is a huge plus! Why join us? Work on high-impact products used by athletes and coaches worldwide. Be part of an innovative, fast-moving team with a focus on automation and continuous delivery. Hybrid/remote work flexibility, with a collaborative and supportive team culture. Direct influence on technical decisions and product roadmap. Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture. We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this: - Competitive salary - Health insurance for employee & dependants - Meaningful equity - Pension Plan - Life Cover - Income protection - Wellbeing benefits Location While this role allows for remote work, occasional face-to-face-gatherings are recommended. Diversity In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds.We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation.If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy
Women's Engineering Society
Cambridge, Cambridgeshire
Embedded Software Engineer Consultant (Experienced) Posted: 8 days ago Awerian Description: Job Title: Embedded Software Engineer Consultant (Experienced) Location: Cambridge, United Kingdom Contract: Permanent Breakthrough technology is vital for strengthening the UK's Defence & Homeland Security. As an Embedded Software Engineer at Awerian, you will be at the forefront of this innovation race by helping to defend and protect the UK from the latest technological and cyber threats. Your work will have a real-world impact. You will get to explore pioneering concepts by collaborating with elite multi-disciplinary teams of highly educated and skilled scientists, engineers, and designers. You'll see ideas become a reality as you create prototypes through Awerian's rapid approach to design and implementation. It's a fantastically challenging, varied, and agile role. Every day, you will be operating at the boundary of technological exploration through inventions and cutting-edge technology. Typically, this will involve going through the whole product life cycle, you'll capture, design, develop, document, test, and deliver through to the prototype production. This will use all your experimental and problem-solving skills. You will get to enjoy a broad range of technically demanding projects with the freedom to find solutions with the support of highly capable and intelligent colleagues. Requirements You will ideally have 3+ years relevant experience working in embedded software development, have a proven track record of design and implementation of technological solutions, and hold a relevant degree. Experience with Linux, and programming in C and at least one other language (such as C#, C++, MATLAB) is essential. In addition, experience in any of the following is desirable: Bare metal/RTOS software development on ARM targets High level software architecture Embedded software debugging methods Scripting for test or signal processing (for example in MATLAB, Python) We are keen to hear from Engineers with broad experience in any sector. Previous or current experience in the defence industry is desirable but not essential. Why Awerian? Awerian are a defence and security technology consultancy comprised of 45 scientists and engineers. You will work at our smart and well-equipped offices and laboratories based just outside of Cambridge. Immediately you will be encouraged to share and implement your ideas - there's no 'newbie' status, and you'll benefit from our culture of freedom. TTP Group is an employee-owned trust. With little hierarchy, there are no corporate hoops to jump through. This, along with our flat structure, encourages mutual support, teamwork, and innovation. It also creates unique opportunities to develop skills in project leadership and client management to keep your professional development on track. Awerian are continuing their rapid growth plan, making this a great time to join our multi-disciplinary team. You will be part of building on our successful track record and develop your career at the cutting edge of technology. You will be supported by our team of experts. We're a business of individuals - however, our curiosity brings us together and it drives what we do. Whether you're leading a project or part of a team, the whole structure of Awerian is designed to help you connect, thrive, and feel included. Additional Information The Company and Benefits: Awerian are a defence and security technology consultancy comprised of 45 scientists and engineers. We are part of TTP Group, an employee-owned trust, with attractive employee benefits including: Employer pension contribution of 10% of salary +3% personal contribution Private medical insurance for you and your family and Life insurance Enhanced family friendly leave Electric Vehicle leasing & Cycle to Work scheme Access to TTP Group social and sport clubs and an on-site gym Discounts and memberships to local sports facilities and the theatre You will need to be eligible for UK security clearance. Please note this role is not eligible for UKVI sponsorship visa scheme We review CVs on an ongoing basis and will arrange interviews promptly upon receiving suitable applications. Our business revolves around collaborating with one another to tackle genuinely hard problems. Equality and diversity in the workplace are some of the most challenging problems facing society. We continuously strive to do better, and we fundamentally believe in the power and importance of diversity - both for our community and for the overall success of our business. We therefore encourage applications from all individuals. Whatever your background, whatever your identity: we would love to hear from you.
Aug 20, 2025
Full time
Embedded Software Engineer Consultant (Experienced) Posted: 8 days ago Awerian Description: Job Title: Embedded Software Engineer Consultant (Experienced) Location: Cambridge, United Kingdom Contract: Permanent Breakthrough technology is vital for strengthening the UK's Defence & Homeland Security. As an Embedded Software Engineer at Awerian, you will be at the forefront of this innovation race by helping to defend and protect the UK from the latest technological and cyber threats. Your work will have a real-world impact. You will get to explore pioneering concepts by collaborating with elite multi-disciplinary teams of highly educated and skilled scientists, engineers, and designers. You'll see ideas become a reality as you create prototypes through Awerian's rapid approach to design and implementation. It's a fantastically challenging, varied, and agile role. Every day, you will be operating at the boundary of technological exploration through inventions and cutting-edge technology. Typically, this will involve going through the whole product life cycle, you'll capture, design, develop, document, test, and deliver through to the prototype production. This will use all your experimental and problem-solving skills. You will get to enjoy a broad range of technically demanding projects with the freedom to find solutions with the support of highly capable and intelligent colleagues. Requirements You will ideally have 3+ years relevant experience working in embedded software development, have a proven track record of design and implementation of technological solutions, and hold a relevant degree. Experience with Linux, and programming in C and at least one other language (such as C#, C++, MATLAB) is essential. In addition, experience in any of the following is desirable: Bare metal/RTOS software development on ARM targets High level software architecture Embedded software debugging methods Scripting for test or signal processing (for example in MATLAB, Python) We are keen to hear from Engineers with broad experience in any sector. Previous or current experience in the defence industry is desirable but not essential. Why Awerian? Awerian are a defence and security technology consultancy comprised of 45 scientists and engineers. You will work at our smart and well-equipped offices and laboratories based just outside of Cambridge. Immediately you will be encouraged to share and implement your ideas - there's no 'newbie' status, and you'll benefit from our culture of freedom. TTP Group is an employee-owned trust. With little hierarchy, there are no corporate hoops to jump through. This, along with our flat structure, encourages mutual support, teamwork, and innovation. It also creates unique opportunities to develop skills in project leadership and client management to keep your professional development on track. Awerian are continuing their rapid growth plan, making this a great time to join our multi-disciplinary team. You will be part of building on our successful track record and develop your career at the cutting edge of technology. You will be supported by our team of experts. We're a business of individuals - however, our curiosity brings us together and it drives what we do. Whether you're leading a project or part of a team, the whole structure of Awerian is designed to help you connect, thrive, and feel included. Additional Information The Company and Benefits: Awerian are a defence and security technology consultancy comprised of 45 scientists and engineers. We are part of TTP Group, an employee-owned trust, with attractive employee benefits including: Employer pension contribution of 10% of salary +3% personal contribution Private medical insurance for you and your family and Life insurance Enhanced family friendly leave Electric Vehicle leasing & Cycle to Work scheme Access to TTP Group social and sport clubs and an on-site gym Discounts and memberships to local sports facilities and the theatre You will need to be eligible for UK security clearance. Please note this role is not eligible for UKVI sponsorship visa scheme We review CVs on an ongoing basis and will arrange interviews promptly upon receiving suitable applications. Our business revolves around collaborating with one another to tackle genuinely hard problems. Equality and diversity in the workplace are some of the most challenging problems facing society. We continuously strive to do better, and we fundamentally believe in the power and importance of diversity - both for our community and for the overall success of our business. We therefore encourage applications from all individuals. Whatever your background, whatever your identity: we would love to hear from you.
We consistently top the charts as one of if not the most used Sports Betting website in the countries we operate in. With millions of weekly active users, we strive to be the best in industry for our users. As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them into supervised and/or unsupervised learning problems. Who We Are Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents. The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution. We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/ or unsupervised learning problems using statistical and machine learning models Participate in monitoring and evaluation of performance of existing models Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines Collaborate with global teams of developers, traders and product developers to better understand business requirements and deliver end product to the clients Implement and test the researched fixed income models using the risk research data Liabilities and probabilities calculations Requirements Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models 3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch) Knowledge of SQL and experience with relational databases Agile, action-oriente Nice to have Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or experience in the gaming industry Quarterly bonuses We have core hours of 10am-3pm in a local timezone, but flexible hours outside of this 28 days paid annual leave Annual company retreat Highly talented, dependable co-workers in a global, multicultural organisation Payment via DEEL, a world class online wallet system Our teams are small enough for you to be impactful Our business is globally established and successful, offering stability and security to our Team Members Our Mission Our mission is to be an everyday entertainment platform for everyone Create Value for Users Act in the Long-Term Interests of Sporty Focus on Product Improvements & Innovation Be Responsible Preserve Integrity & Honesty Respect Confidentiality & Privacy Ensure Stability, Security & Scalability Work Hard with Passion & Pride Interview Process Remote video screening with our Talent Acquisition Team Offline Take home assignment Remote video interview with Team Members (60 Mins) Final discussion with the hiring manager (60 mins). Post Interview Process Feedback call on successful interview Offer released followed by contract ID Check Via Zinc & 2 references from previous employers Working at Sporty The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way. Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results. As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don't have arbitrary shareholder or VC targets to cater to. We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.
Aug 20, 2025
Full time
We consistently top the charts as one of if not the most used Sports Betting website in the countries we operate in. With millions of weekly active users, we strive to be the best in industry for our users. As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges, translating them into supervised and/or unsupervised learning problems. Who We Are Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents. The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution. We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/ or unsupervised learning problems using statistical and machine learning models Participate in monitoring and evaluation of performance of existing models Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines Collaborate with global teams of developers, traders and product developers to better understand business requirements and deliver end product to the clients Implement and test the researched fixed income models using the risk research data Liabilities and probabilities calculations Requirements Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models 3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch) Knowledge of SQL and experience with relational databases Agile, action-oriente Nice to have Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or experience in the gaming industry Quarterly bonuses We have core hours of 10am-3pm in a local timezone, but flexible hours outside of this 28 days paid annual leave Annual company retreat Highly talented, dependable co-workers in a global, multicultural organisation Payment via DEEL, a world class online wallet system Our teams are small enough for you to be impactful Our business is globally established and successful, offering stability and security to our Team Members Our Mission Our mission is to be an everyday entertainment platform for everyone Create Value for Users Act in the Long-Term Interests of Sporty Focus on Product Improvements & Innovation Be Responsible Preserve Integrity & Honesty Respect Confidentiality & Privacy Ensure Stability, Security & Scalability Work Hard with Passion & Pride Interview Process Remote video screening with our Talent Acquisition Team Offline Take home assignment Remote video interview with Team Members (60 Mins) Final discussion with the hiring manager (60 mins). Post Interview Process Feedback call on successful interview Offer released followed by contract ID Check Via Zinc & 2 references from previous employers Working at Sporty The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way. Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results. As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don't have arbitrary shareholder or VC targets to cater to. We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.
This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What's special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly A top degree in a STEM subject UK national While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals' expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company. Recommend for £250 - see for details.
Aug 18, 2025
Full time
This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What's special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly A top degree in a STEM subject UK national While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals' expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company. Recommend for £250 - see for details.
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientistto join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. As a Product Data Scientist, you'll be a key partner and collaborator to teams across Blue Light Card to support them with analytical insight. You'll ensure teams have an in-depth understanding of member and partner behaviour, putting actionable insight front of mind when making decisions and always pushing to use the most up to date techniques you can. What You'll Do Leverage quantitative analysis and data storytelling to uncover user behaviour, identify pain points, and inform product strategy with actionable insights Discover and size new opportunities by generating hypotheses, designing and supporting experiments, and fostering a culture of continuous learning and iteration Define and align key metrics in collaboration with stakeholders, ensuring data accuracy and consistency across teams by partnering with engineers and developers Build and maintain self-serve data tools and dashboards that provide quick access to core insights, empowering teams to make data-informed conclusions Conduct deep-dive analyses to support strategic initiatives, delivering clear recommendations that drive business and product improvements Maintain the central knowledge base by documenting reports, insights, and metric definitions within the Insights Hub to promote transparency and shared understanding Collaborate cross-functionally to identify and close data or capability gaps, while sharing insights and fostering strong relationships across the business Champion a unified data approach, ensuring consistent use of data sources and definitions, while staying current on analytics best practices and industry trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across all levels Experience using data storytelling, including presentation skills and the ability to present a convincing, data-led argument for ideas to internal stakeholders and colleagues Ability to manage your development alongside the senior analytics team, identifying opportunities to improve both yourself and the team in line with market trends A willingness to be a self-starter, and a detail-oriented problem solver, with a strong curiosity to understand user behaviour Team player that is both highly collaborative and individually capable Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid workingand flexible hours 35 hour working week Free parking and EV charging onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Group auto-enrolment pension plan Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. Monthly Light's Up and The Shine awards Relaxed dress code and modern office space (games area, chill-out areas, bookclub, free drinks/snacks) Onsite gym at HQ (including access to free HIIT & stretch classes) Strong learning and development culture
Aug 18, 2025
Full time
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientistto join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. As a Product Data Scientist, you'll be a key partner and collaborator to teams across Blue Light Card to support them with analytical insight. You'll ensure teams have an in-depth understanding of member and partner behaviour, putting actionable insight front of mind when making decisions and always pushing to use the most up to date techniques you can. What You'll Do Leverage quantitative analysis and data storytelling to uncover user behaviour, identify pain points, and inform product strategy with actionable insights Discover and size new opportunities by generating hypotheses, designing and supporting experiments, and fostering a culture of continuous learning and iteration Define and align key metrics in collaboration with stakeholders, ensuring data accuracy and consistency across teams by partnering with engineers and developers Build and maintain self-serve data tools and dashboards that provide quick access to core insights, empowering teams to make data-informed conclusions Conduct deep-dive analyses to support strategic initiatives, delivering clear recommendations that drive business and product improvements Maintain the central knowledge base by documenting reports, insights, and metric definitions within the Insights Hub to promote transparency and shared understanding Collaborate cross-functionally to identify and close data or capability gaps, while sharing insights and fostering strong relationships across the business Champion a unified data approach, ensuring consistent use of data sources and definitions, while staying current on analytics best practices and industry trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across all levels Experience using data storytelling, including presentation skills and the ability to present a convincing, data-led argument for ideas to internal stakeholders and colleagues Ability to manage your development alongside the senior analytics team, identifying opportunities to improve both yourself and the team in line with market trends A willingness to be a self-starter, and a detail-oriented problem solver, with a strong curiosity to understand user behaviour Team player that is both highly collaborative and individually capable Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid workingand flexible hours 35 hour working week Free parking and EV charging onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Group auto-enrolment pension plan Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. Monthly Light's Up and The Shine awards Relaxed dress code and modern office space (games area, chill-out areas, bookclub, free drinks/snacks) Onsite gym at HQ (including access to free HIIT & stretch classes) Strong learning and development culture
At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. You priorities will include: Cross-team collaboration. You'll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence. Proactive quality assurance. By anticipating quality risks and organizational needs, you'll proactively identify and address potential obstacles to prevent defects before they arise. Strategic execution. You'll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions. Industry advancements. You'll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements. We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom. Must-Haves A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps. Mentorship. You'll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. Compensation The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? What are your salary expectations? Please include a specific number or range. Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
Aug 16, 2025
Full time
At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. You priorities will include: Cross-team collaboration. You'll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence. Proactive quality assurance. By anticipating quality risks and organizational needs, you'll proactively identify and address potential obstacles to prevent defects before they arise. Strategic execution. You'll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions. Industry advancements. You'll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements. We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom. Must-Haves A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps. Mentorship. You'll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. Compensation The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? What are your salary expectations? Please include a specific number or range. Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. You priorities will include: Cross-team collaboration. You'll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence. Proactive quality assurance. By anticipating quality risks and organizational needs, you'll proactively identify and address potential obstacles to prevent defects before they arise. Strategic execution. You'll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions. Industry advancements. You'll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements. We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom. Must-Haves A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps. Mentorship. You'll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. Compensation The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? What are your salary expectations? Please include a specific number or range. Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
Aug 16, 2025
Full time
At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role Our Applied Machine Learning (AML) team's vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We're looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across the AML squads, as well as our QA chapter as a whole. This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. You priorities will include: Cross-team collaboration. You'll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence. Proactive quality assurance. By anticipating quality risks and organizational needs, you'll proactively identify and address potential obstacles to prevent defects before they arise. Strategic execution. You'll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions. Industry advancements. You'll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements. We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom. Must-Haves A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps. Mentorship. You'll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality. Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability. Global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job. Nice-to-Haves: ML sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. Compensation The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name Last Name Email Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? What are your salary expectations? Please include a specific number or range. Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.
At Urban Jungle, we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're looking for an enthusiastic Data Scientist to join our Data team and play a pivotal role in shaping how we leverage data at Urban Jungle. This is an exciting opportunity to work in a high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one. You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up to: Get to grips with our data platform and begin contributing to models that power core business decisions. Work on projects that span multiple areas, including pricing, risk assessment, and behavioural fraud detection. Build, deploy, and iterate on data models that bring clear and measurable value to our business. Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products that delight our customers and drive business growth. Play a key role in developing our state-of-the-art data platform, setting the standard for best practices in data science and analytics. Build your commercial awareness by collaborating on cross-functional projects with teams across Urban Jungle. Join a fun, supportive, and ambitious team where your growth and well-being are a top priority. You've read this far! Here's what we're looking for from you: 1+ years of experience in data science (or equivalent academic or personal projects). A problem-solver who enjoys thinking creatively about how data can deliver value. A passion for building great data products and a willingness to roll up your sleeves across the data lifecycle - from pipelining to model deployment. Experience with some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience. You're not afraid to challenge the status quo if it means reaching a better outcome for our customers. Use your excellent time management abilities to prioritise daily tasks in accordance with overarching company goals. You're ambitious, and eager to progress quickly to grow alongside the company. You apply yourself to everything you do, recognising the difference that makes to the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. You'll be a champion of our values, and encourage others to be the same . These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. About our offer We're taking an office-centric approach to work (with lots of flexibility built-in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £40,000 - £41,000, and share options that can increase alongside performance and growth. 25 days paid annual leave, plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan . We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well-being support. We're committed to supporting both physical and mental well-being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave , and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.
Aug 15, 2025
Full time
At Urban Jungle, we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're looking for an enthusiastic Data Scientist to join our Data team and play a pivotal role in shaping how we leverage data at Urban Jungle. This is an exciting opportunity to work in a high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one. You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up to: Get to grips with our data platform and begin contributing to models that power core business decisions. Work on projects that span multiple areas, including pricing, risk assessment, and behavioural fraud detection. Build, deploy, and iterate on data models that bring clear and measurable value to our business. Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products that delight our customers and drive business growth. Play a key role in developing our state-of-the-art data platform, setting the standard for best practices in data science and analytics. Build your commercial awareness by collaborating on cross-functional projects with teams across Urban Jungle. Join a fun, supportive, and ambitious team where your growth and well-being are a top priority. You've read this far! Here's what we're looking for from you: 1+ years of experience in data science (or equivalent academic or personal projects). A problem-solver who enjoys thinking creatively about how data can deliver value. A passion for building great data products and a willingness to roll up your sleeves across the data lifecycle - from pipelining to model deployment. Experience with some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience. You're not afraid to challenge the status quo if it means reaching a better outcome for our customers. Use your excellent time management abilities to prioritise daily tasks in accordance with overarching company goals. You're ambitious, and eager to progress quickly to grow alongside the company. You apply yourself to everything you do, recognising the difference that makes to the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. You'll be a champion of our values, and encourage others to be the same . These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. About our offer We're taking an office-centric approach to work (with lots of flexibility built-in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £40,000 - £41,000, and share options that can increase alongside performance and growth. 25 days paid annual leave, plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan . We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well-being support. We're committed to supporting both physical and mental well-being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave , and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.
Covent Garden, London, UK (office based 3-4 days a week) About Us: At False9 Technologies, we're driven by a deep passion for sports, trading, data science, and cutting-edge technology. Our journey began over 15 years ago, when our founders forged a successful collaboration that laid the foundation for what we do today. We develop innovative tools and provide expert services to help our clients make data-driven, probabilistic assessments and forecasts - primarily in sports. Our work empowers decision-makers with sharper insights. As we grow, we're looking for bright, creative, and curious minds to join our team-individuals eager to challenge the status quo, push technological boundaries, and thrive in a collaborative environment. This opening provides the successful candidate with the opportunity to join a growing team, working directly with our founders in our awesome office based in Covent Garden, London. Responsibilities: Design and implement predictive models that enable profitable trading decisions. Develop and maintain tools to assist clients in gaining insights from noisy data and understand the sports betting markets. Monitor performance of current models and adapt models to evolving market dynamics. Requirements: Bachelor's degree in Mathematics, Statistics, Computer Science, Physics or a related field. Excellent problem-solving skills and the ability to work collaboratively in a team-oriented environment. An understanding or experience with statistical methods and basic machine learning concepts. Some previous programming experience. Intellectual curiosity and a desire to learn new skills. What We Offer: Professional Growth: Opportunities for career development and advancement within the company. Supportive Environment: Collaborative and inclusive team culture with mentorship Private Health Insurance and Life Insurance Matched Pension Contributions up to 3% 25 days annual leave (increasing by 1 day on each anniversary of service) Paid leave on bank holidays Cycle to work scheme Subsidised gym membership Discretionary Bonus How to Apply: Interested candidates should submit their resume and a cover letter outlining their qualifications and interest in the position to .
Jul 11, 2025
Full time
Covent Garden, London, UK (office based 3-4 days a week) About Us: At False9 Technologies, we're driven by a deep passion for sports, trading, data science, and cutting-edge technology. Our journey began over 15 years ago, when our founders forged a successful collaboration that laid the foundation for what we do today. We develop innovative tools and provide expert services to help our clients make data-driven, probabilistic assessments and forecasts - primarily in sports. Our work empowers decision-makers with sharper insights. As we grow, we're looking for bright, creative, and curious minds to join our team-individuals eager to challenge the status quo, push technological boundaries, and thrive in a collaborative environment. This opening provides the successful candidate with the opportunity to join a growing team, working directly with our founders in our awesome office based in Covent Garden, London. Responsibilities: Design and implement predictive models that enable profitable trading decisions. Develop and maintain tools to assist clients in gaining insights from noisy data and understand the sports betting markets. Monitor performance of current models and adapt models to evolving market dynamics. Requirements: Bachelor's degree in Mathematics, Statistics, Computer Science, Physics or a related field. Excellent problem-solving skills and the ability to work collaboratively in a team-oriented environment. An understanding or experience with statistical methods and basic machine learning concepts. Some previous programming experience. Intellectual curiosity and a desire to learn new skills. What We Offer: Professional Growth: Opportunities for career development and advancement within the company. Supportive Environment: Collaborative and inclusive team culture with mentorship Private Health Insurance and Life Insurance Matched Pension Contributions up to 3% 25 days annual leave (increasing by 1 day on each anniversary of service) Paid leave on bank holidays Cycle to work scheme Subsidised gym membership Discretionary Bonus How to Apply: Interested candidates should submit their resume and a cover letter outlining their qualifications and interest in the position to .
You will join the team in delivering insights, models and analysis which allow ClearScore to rapidly scale and deliver a seamless experience for our users. Data Scientists play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact. ClearScore is both a free credit score and report service and the UK's leading consumer credit marketplace. Working in the Marketing Analytics team, you will play a key role in optimising our marketing mix; supporting the marketing and CRM teams to run experiments to improve UX and monetization, and building analytics to support the leadership team in developing the overall strategy. What you will be doing: Building, automating and embedding marketing modelling, such as econometrics and Marketing Mix Modelling across multiple markets (and continents) Planning and analysing marketing experiments through marketing methodologies such as geo-testing, to enable us to continuously improve our campaigns and user experience Automating data gathering, cleaning and processing of large datasets to make suitable for modelling Interpreting and communicating models and analysis, combining marketing, business and external factors into a coherent narrative Supporting the ongoing growth of ClearScore with the most efficient and effective marketing strategy Skills we'd love you to have: You must possess advanced modelling skills in either R or Python, knowledge of SQL and Excel skills. Ability to plan and prioritise your own workload Desire to learn and enjoy working collaboratively, with a desire to contribute to our culture. You do not need to fit into a stereotype: we are really committed to closing our gender gap and are actively trying to create an environment where you, as an individual, can thrive. Strong quantitative and numerical skills Why ClearScore? ClearScore is the UK's credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. If you feel like this could be the place for you, apply and our Talent team will be happy to share more. 25 paid holidays and a "duvet day" on your birthday Private health and dental cover - including mental health support through Bupa GP office visits Up to 6% matched pension Regular Lunch and Learns with guest speakers Dog-friendly office Daily breakfast and free snacks Access to discounts via Cobens Extras Free sports and social clubs Continued investment into learning and development Leadership-led training In-house psychotherapist Financial coach to help you plan and achieve your goals No clock-watching culture Generous maternity and paternity plans Culture and inclusion representatives Transparent pay structure and a career growth plan ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity. Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/mentorship opportunities. What This Means for You: Flexibility to manage your work and life Dedicated in-office days for team building and collaborative projects Office facilities (with plants!) designed for productive interactions Clear expectations and support for maintaining our hybrid schedule We're committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at . Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education Degree Select LinkedIn Profile Website What is your preferred name? Will you now or in future require sponsorship for employment in the UK? Select What is your expected annual salary? What is your notice period? Why do you want to work for ClearScore? How have you heard of us? Select ClearScore is an inclusive employer. Are there any reasonable adjustments you would require to make your selection process fair? Are you able to attend the office 2-3 days per week? Select
Feb 21, 2025
Full time
You will join the team in delivering insights, models and analysis which allow ClearScore to rapidly scale and deliver a seamless experience for our users. Data Scientists play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact. ClearScore is both a free credit score and report service and the UK's leading consumer credit marketplace. Working in the Marketing Analytics team, you will play a key role in optimising our marketing mix; supporting the marketing and CRM teams to run experiments to improve UX and monetization, and building analytics to support the leadership team in developing the overall strategy. What you will be doing: Building, automating and embedding marketing modelling, such as econometrics and Marketing Mix Modelling across multiple markets (and continents) Planning and analysing marketing experiments through marketing methodologies such as geo-testing, to enable us to continuously improve our campaigns and user experience Automating data gathering, cleaning and processing of large datasets to make suitable for modelling Interpreting and communicating models and analysis, combining marketing, business and external factors into a coherent narrative Supporting the ongoing growth of ClearScore with the most efficient and effective marketing strategy Skills we'd love you to have: You must possess advanced modelling skills in either R or Python, knowledge of SQL and Excel skills. Ability to plan and prioritise your own workload Desire to learn and enjoy working collaboratively, with a desire to contribute to our culture. You do not need to fit into a stereotype: we are really committed to closing our gender gap and are actively trying to create an environment where you, as an individual, can thrive. Strong quantitative and numerical skills Why ClearScore? ClearScore is the UK's credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. If you feel like this could be the place for you, apply and our Talent team will be happy to share more. 25 paid holidays and a "duvet day" on your birthday Private health and dental cover - including mental health support through Bupa GP office visits Up to 6% matched pension Regular Lunch and Learns with guest speakers Dog-friendly office Daily breakfast and free snacks Access to discounts via Cobens Extras Free sports and social clubs Continued investment into learning and development Leadership-led training In-house psychotherapist Financial coach to help you plan and achieve your goals No clock-watching culture Generous maternity and paternity plans Culture and inclusion representatives Transparent pay structure and a career growth plan ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity. Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/mentorship opportunities. What This Means for You: Flexibility to manage your work and life Dedicated in-office days for team building and collaborative projects Office facilities (with plants!) designed for productive interactions Clear expectations and support for maintaining our hybrid schedule We're committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at . Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education Degree Select LinkedIn Profile Website What is your preferred name? Will you now or in future require sponsorship for employment in the UK? Select What is your expected annual salary? What is your notice period? Why do you want to work for ClearScore? How have you heard of us? Select ClearScore is an inclusive employer. Are there any reasonable adjustments you would require to make your selection process fair? Are you able to attend the office 2-3 days per week? Select
You will join the team in delivering insights, models and analysis which allow ClearScore to rapidly scale and deliver a seamless experience for our users. Data Scientists play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact. ClearScore is both a free credit score and report service and the UK's leading consumer credit marketplace. Working in the Marketing Analytics team, you will play a key role in optimising our marketing mix; supporting the marketing and CRM teams to run experiments to improve UX and monetization, and building analytics to support the leadership team in developing the overall strategy. What you will be doing: Building, automating and embedding marketing modelling, such as econometrics and Marketing Mix Modelling across multiple markets (and continents) Planning and analysing marketing experiments through marketing methodologies such as geo-testing, to enable us to continuously improve our campaigns and user experience Automating data gathering, cleaning and processing of large datasets to make suitable for modelling Interpreting and communicating models and analysis, combining marketing, business and external factors into a coherent narrative Supporting the ongoing growth of ClearScore with the most efficient and effective marketing strategy Skills we'd love you to have: You must possess advanced modelling skills in either R or Python, knowledge of SQL and Excel skills. Ability to plan and prioritise your own workload Desire to learn and enjoy working collaboratively, with a desire to contribute to our culture. You do not need to fit into a stereotype: we are really committed to closing our gender gap and are actively trying to create an environment where you, as an individual, can thrive. Strong quantitative and numerical skills Why ClearScore? ClearScore is the UK's credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. If you feel like this could be the place for you, apply and our Talent team will be happy to share more. Benefits: 25 paid holidays and a "duvet day" on your birthday Private health and dental cover - including mental health support through Bupa GP office visits Up to 6% matched pension Regular Lunch and Learns with guest speakers Dog-friendly office Daily breakfast and free snacks Access to discounts via Cobens Extras Free sports and social clubs Continued investment into learning and development Leadership-led training In-house psychotherapist Financial coach to help you plan and achieve your goals No clock-watching culture Generous maternity and paternity plans Culture and inclusion representatives Transparent pay structure and a career growth plan ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity. Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/mentorship opportunities. What This Means for You: Flexibility to manage your work and life Dedicated in-office days for team building and collaborative projects Office facilities (with plants!) designed for productive interactions Clear expectations and support for maintaining our hybrid schedule We're committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at . Apply for this job indicates a required field
Feb 21, 2025
Full time
You will join the team in delivering insights, models and analysis which allow ClearScore to rapidly scale and deliver a seamless experience for our users. Data Scientists play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact. ClearScore is both a free credit score and report service and the UK's leading consumer credit marketplace. Working in the Marketing Analytics team, you will play a key role in optimising our marketing mix; supporting the marketing and CRM teams to run experiments to improve UX and monetization, and building analytics to support the leadership team in developing the overall strategy. What you will be doing: Building, automating and embedding marketing modelling, such as econometrics and Marketing Mix Modelling across multiple markets (and continents) Planning and analysing marketing experiments through marketing methodologies such as geo-testing, to enable us to continuously improve our campaigns and user experience Automating data gathering, cleaning and processing of large datasets to make suitable for modelling Interpreting and communicating models and analysis, combining marketing, business and external factors into a coherent narrative Supporting the ongoing growth of ClearScore with the most efficient and effective marketing strategy Skills we'd love you to have: You must possess advanced modelling skills in either R or Python, knowledge of SQL and Excel skills. Ability to plan and prioritise your own workload Desire to learn and enjoy working collaboratively, with a desire to contribute to our culture. You do not need to fit into a stereotype: we are really committed to closing our gender gap and are actively trying to create an environment where you, as an individual, can thrive. Strong quantitative and numerical skills Why ClearScore? ClearScore is the UK's credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. If you feel like this could be the place for you, apply and our Talent team will be happy to share more. Benefits: 25 paid holidays and a "duvet day" on your birthday Private health and dental cover - including mental health support through Bupa GP office visits Up to 6% matched pension Regular Lunch and Learns with guest speakers Dog-friendly office Daily breakfast and free snacks Access to discounts via Cobens Extras Free sports and social clubs Continued investment into learning and development Leadership-led training In-house psychotherapist Financial coach to help you plan and achieve your goals No clock-watching culture Generous maternity and paternity plans Culture and inclusion representatives Transparent pay structure and a career growth plan ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity. Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/mentorship opportunities. What This Means for You: Flexibility to manage your work and life Dedicated in-office days for team building and collaborative projects Office facilities (with plants!) designed for productive interactions Clear expectations and support for maintaining our hybrid schedule We're committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at . Apply for this job indicates a required field
At Urban Jungle, we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're looking for an enthusiastic Data Scientist to join our Data team and play a pivotal role in shaping how we leverage data at Urban Jungle. This is an exciting opportunity to work in a high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one. You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up to: Get to grips with our data platform and begin contributing to models that power core business decisions. Work on projects that span multiple areas, including pricing, risk assessment, and behavioural fraud detection. Build, deploy, and iterate on data models that bring clear and measurable value to our business. Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products that delight our customers and drive business growth. Play a key role in developing our state-of-the-art data platform, setting the standard for best practices in data science and analytics. Build your commercial awareness by collaborating on cross-functional projects with teams across Urban Jungle. Join a fun, supportive, and ambitious team where your growth and well-being are a top priority. You've read this far! Here's what we're looking for from you: 1+ years of experience in data science (or equivalent academic or personal projects). A problem-solver who enjoys thinking creatively about how data can deliver value. A passion for building great data products and a willingness to roll up your sleeves across the data lifecycle - from pipelining to model deployment. Experience with some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience. You're not afraid to challenge the status quo if it means reaching a better outcome for our customers. Use your excellent time management abilities to prioritise daily tasks in accordance with overarching company goals. You're ambitious, and eager to progress quickly to grow alongside the company. You apply yourself to everything you do, recognising the difference that makes to the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. You'll be a champion of our values, and encourage others to be the same. These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. About our offer We're taking an office-centric approach to work (with lots of flexibility built-in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £38,000 - £40,000, and share options that can increase alongside performance and growth. 25 days paid annual leave, plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan. We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well-being support. We're committed to supporting both physical and mental well-being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave, and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.
Feb 20, 2025
Full time
At Urban Jungle, we're making insurance fair - to people, planet and wallets. We're one of the fastest-growing businesses in the UK, working to fix one of the biggest industries in the world. We put customers at the heart of everything we do, using data and technology to make insurance simple, flexible, and affordable. We care about our impact on the planet, becoming a B Corp in 2022 and offsetting our carbon emissions every year. So far, we've helped 300,000 customers get better insurance and become one of the top-rated home insurance providers in the UK. We placed 1st in Tempo's 2024 award for best startup to work for, and are in the top 10 of Deloitte's Fast 50. We've raised over £43m in funding to date to help us with our mission. We're looking for people to join our team of kind, talented people on a mission to change the insurance industry for good. About the role We're looking for an enthusiastic Data Scientist to join our Data team and play a pivotal role in shaping how we leverage data at Urban Jungle. This is an exciting opportunity to work in a high-growth tech scaleup, making an impact on core business decisions and customer experiences from day one. You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up to: Get to grips with our data platform and begin contributing to models that power core business decisions. Work on projects that span multiple areas, including pricing, risk assessment, and behavioural fraud detection. Build, deploy, and iterate on data models that bring clear and measurable value to our business. Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products that delight our customers and drive business growth. Play a key role in developing our state-of-the-art data platform, setting the standard for best practices in data science and analytics. Build your commercial awareness by collaborating on cross-functional projects with teams across Urban Jungle. Join a fun, supportive, and ambitious team where your growth and well-being are a top priority. You've read this far! Here's what we're looking for from you: 1+ years of experience in data science (or equivalent academic or personal projects). A problem-solver who enjoys thinking creatively about how data can deliver value. A passion for building great data products and a willingness to roll up your sleeves across the data lifecycle - from pipelining to model deployment. Experience with some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience. You're not afraid to challenge the status quo if it means reaching a better outcome for our customers. Use your excellent time management abilities to prioritise daily tasks in accordance with overarching company goals. You're ambitious, and eager to progress quickly to grow alongside the company. You apply yourself to everything you do, recognising the difference that makes to the business. You treat everyone with integrity, respect and kindness - whether it's your colleagues, our customers, or our partners. You'll be a champion of our values, and encourage others to be the same. These requirements are a guide as to what we're looking for, but if you don't have all of the skills listed above, that's okay! Please don't let that hold you back from applying if the role excites you. About our offer We're taking an office-centric approach to work (with lots of flexibility built-in) and the team is based in Oval, London. In addition to our positive, open working environment, you can expect the following benefits of working at Urban Jungle: A starting salary of between £38,000 - £40,000, and share options that can increase alongside performance and growth. 25 days paid annual leave, plus public holidays. Rapid Progression. We'll give you the opportunity to experience loads, and develop rapidly. You'll get tons of responsibility from day one, and all the feedback, coaching and support you need to fuel your career growth. Real Impact. You'll work on big, interesting problems that will challenge you, and do so in a way that has a positive impact on people's lives, the planet and our community. A Clear Plan. We'll give you the clarity on what we want to achieve, with the freedom and autonomy for you to decide how we get there. The Best People. You'll be surrounded by teammates who are exceptional at what they do, whilst being kind, honest people who champion our values. A dedicated development budget, access to a senior mentor, and training on whatever you need to do your job well. Well-being support. We're committed to supporting both physical and mental well-being through access to therapy, weekly onsite yoga, and subsidised sports clubs. Enhanced parental leave, and support for parents returning to work. All. The. Fun. We regularly organise awesome socials and have some vibrant team communities such as book club and foodies. About our commitment Urban Jungle is an equal opportunity employer and fairness and respect are at the heart of who we are and how we work. We do not discriminate based on race, age, ethnicity, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity or disability. We know that in order to build a truly successful business, we need a team of diverse individuals who can offer a variety of skills, experiences and perspectives.
Society of Research Software Engineering
Hinxton, Essex
We are seeking a talented Data Scientist to work on an exciting project for the development of Digital Twins for rare disease. You will work within a multidisciplinary project team, across the Open Targets, BioModels and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). This project is funded through the Chan Zuckerberg Initiative with a strong emphasis on making datasets and models open source where possible. 'Digital Twins' involve creating virtual models of real-world patients to simulate their disease trajectories and therapeutic response, which requires modelling complex multi-omics data and clinically relevant endpoints. By their very nature, rare diseases (RDs) are rare - but collectively they account for around 7,000 diseases affecting approximately 300 million individuals worldwide. Due to the heterogeneous and rare/ultra-rare nature of these diseases, having enough samples for each disease (and at a single cell molecular level) is a major challenge. This hinders the ability to study the cause and mechanisms underlying these diseases and thus is a major obstacle for diagnosis and designing treatment options for these patients. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. This is an exciting opportunity to make a significant contribution to our understanding of disease biology which may lead to applications such as diagnosis, drug repurposing and new treatment development. You will be responsible for the processing and harmonisation of multi-omics data from disease and healthy patient cohorts, curating benchmarking datasets to test the models, developing and maintaining collaborations across the rare disease and project community, data stewardship and standardisation. You will work collaboratively within a multidisciplinary project team alongside modellers and scientists from EMBL-EBI, Open Targets, and CZI, as well as the wider Biocuration and rare disease community. Main Duties and Responsibilities The Data Scientist's primary tasks will be to collect and process patient-derived multi-omics datasets linked with clinical phenotypes for several complex and rare diseases. You will also create healthy benchmarking datasets and validation datasets to train and test the models that are developed. You will work closely alongside the ML Modeller and Bioinformatician on the project team, ensuring data is appropriately harmonised, structured and processed through pipeline workflows for use in models. You will also help with testing of the model outcomes and have an opportunity to analyse the outputs. A strong aspect of the role will be helping to coordinate and develop collaborations with the rare disease community. Safe data stewardship will be a key responsibility, as well as ensuring data and models are made open-source and publicly available where possible. In particular, and in addition, to the above, this role will involve: Scoping of publicly available single cell multi-omic datasets with phenotypes at individual level for healthy and disease tissues, with a strong focus on transcriptomic expression data Evaluation of publicly available biomodels for healthy and disease tissues Help coordinate existing collaborations across the rare disease, industry and project community, and help initiate and develop new collaborations Collection and processing of patient-derived multi-omics datasets (single cell where possible) along with clinical phenotypes for the models, using appropriate data standards and ontologies and developing or utilising data processing workflows Curation of validation/benchmarking datasets to train and test the models, and helping to test and validate the model outcomes Taking ownership of data management overall for the project, with responsibility for applying to data access when necessary, data coordination between team members, ensuring data safety, control and ensuring data agreements are adhered to Making datasets and models openly available, when possible, in standardised frameworks for use by the wider community Actively collaborate with global consortia, leveraging advanced biological knowledge to harmonise data from disparate sources. The role may require some international travel to conferences or meetings. You have A Bachelors, Masters (or equivalent) degree in medical or biological sciences A higher degree (PhD) or equivalent experience At least 2 years of relevant data scientist, biocuration or bioinformatics experience Prior experience in working with single cell or bulk transcriptomics, and/or human genomics data analysis The ability to apply scientific knowledge in the understanding of scientific research articles and data records Experience of biological/clinical data curation Experience of working with biological databases Experience in developing and running pipelines to process and harmonise datasets Experience of working in a UNIX/Linux environment, very good scripting skills (R or preferably Python) Willingness to learn new skills as the project requires Self-motivated and capable of working both independently and as part of a team Excellent communication, interpersonal and English language skills. You may also have Prior experience with eQTL or GWAS analysis Prior experience with multi-omics data harmonization and integration Working with pipeline workflow management tools such as Nextflow is desirable Experience in reviewing, interpreting and summarising scientific literature Experience in application of automation, text-mining and/or machine-learning to biocuration Experience of working with ontologies or controlled vocabularies Demonstration of being an active member on a collaborative project Experience working with rare or common disease patient cohort data Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £272 monthly child allowance of £328 per child. Non resident allowance up to £556 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 2 year fixed term contract Salary: Monthly salary starting at £3,229 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 12/03/2025.
Feb 20, 2025
Full time
We are seeking a talented Data Scientist to work on an exciting project for the development of Digital Twins for rare disease. You will work within a multidisciplinary project team, across the Open Targets, BioModels and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). This project is funded through the Chan Zuckerberg Initiative with a strong emphasis on making datasets and models open source where possible. 'Digital Twins' involve creating virtual models of real-world patients to simulate their disease trajectories and therapeutic response, which requires modelling complex multi-omics data and clinically relevant endpoints. By their very nature, rare diseases (RDs) are rare - but collectively they account for around 7,000 diseases affecting approximately 300 million individuals worldwide. Due to the heterogeneous and rare/ultra-rare nature of these diseases, having enough samples for each disease (and at a single cell molecular level) is a major challenge. This hinders the ability to study the cause and mechanisms underlying these diseases and thus is a major obstacle for diagnosis and designing treatment options for these patients. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. This is an exciting opportunity to make a significant contribution to our understanding of disease biology which may lead to applications such as diagnosis, drug repurposing and new treatment development. You will be responsible for the processing and harmonisation of multi-omics data from disease and healthy patient cohorts, curating benchmarking datasets to test the models, developing and maintaining collaborations across the rare disease and project community, data stewardship and standardisation. You will work collaboratively within a multidisciplinary project team alongside modellers and scientists from EMBL-EBI, Open Targets, and CZI, as well as the wider Biocuration and rare disease community. Main Duties and Responsibilities The Data Scientist's primary tasks will be to collect and process patient-derived multi-omics datasets linked with clinical phenotypes for several complex and rare diseases. You will also create healthy benchmarking datasets and validation datasets to train and test the models that are developed. You will work closely alongside the ML Modeller and Bioinformatician on the project team, ensuring data is appropriately harmonised, structured and processed through pipeline workflows for use in models. You will also help with testing of the model outcomes and have an opportunity to analyse the outputs. A strong aspect of the role will be helping to coordinate and develop collaborations with the rare disease community. Safe data stewardship will be a key responsibility, as well as ensuring data and models are made open-source and publicly available where possible. In particular, and in addition, to the above, this role will involve: Scoping of publicly available single cell multi-omic datasets with phenotypes at individual level for healthy and disease tissues, with a strong focus on transcriptomic expression data Evaluation of publicly available biomodels for healthy and disease tissues Help coordinate existing collaborations across the rare disease, industry and project community, and help initiate and develop new collaborations Collection and processing of patient-derived multi-omics datasets (single cell where possible) along with clinical phenotypes for the models, using appropriate data standards and ontologies and developing or utilising data processing workflows Curation of validation/benchmarking datasets to train and test the models, and helping to test and validate the model outcomes Taking ownership of data management overall for the project, with responsibility for applying to data access when necessary, data coordination between team members, ensuring data safety, control and ensuring data agreements are adhered to Making datasets and models openly available, when possible, in standardised frameworks for use by the wider community Actively collaborate with global consortia, leveraging advanced biological knowledge to harmonise data from disparate sources. The role may require some international travel to conferences or meetings. You have A Bachelors, Masters (or equivalent) degree in medical or biological sciences A higher degree (PhD) or equivalent experience At least 2 years of relevant data scientist, biocuration or bioinformatics experience Prior experience in working with single cell or bulk transcriptomics, and/or human genomics data analysis The ability to apply scientific knowledge in the understanding of scientific research articles and data records Experience of biological/clinical data curation Experience of working with biological databases Experience in developing and running pipelines to process and harmonise datasets Experience of working in a UNIX/Linux environment, very good scripting skills (R or preferably Python) Willingness to learn new skills as the project requires Self-motivated and capable of working both independently and as part of a team Excellent communication, interpersonal and English language skills. You may also have Prior experience with eQTL or GWAS analysis Prior experience with multi-omics data harmonization and integration Working with pipeline workflow management tools such as Nextflow is desirable Experience in reviewing, interpreting and summarising scientific literature Experience in application of automation, text-mining and/or machine-learning to biocuration Experience of working with ontologies or controlled vocabularies Demonstration of being an active member on a collaborative project Experience working with rare or common disease patient cohort data Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £272 monthly child allowance of £328 per child. Non resident allowance up to £556 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 2 year fixed term contract Salary: Monthly salary starting at £3,229 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 12/03/2025.
We are BVGroup a dynamic team that's shaping the future of online sport betting and gaming. We're dedicated to fostering a culture of innovation and excellence and as a leading global brand, we're committed to delivering top-tier products and services to our customers. We are looking for a Data Engineer to become part of our growing team. Expected responsibilities Building and maintaining new production services that integrate into the rest of the company's technology stack and provide critical business services. Improving and upgrading the DS stack, including anti-fragility and other technical debt. Collaborate with data scientists on their projects, particularly on the design of tools and data models, and other technical aspects. Contribute to business projects that have engineering implications, particularly on the design of tools and data models, and ensuring that engineering requirements of a project are properly defined. Person profile Detailed experience as a Data Engineer, particularly with Python, Airflow, Terraform, Git, GitLab (including CI/CD pipelines), GCP (particularly BigQuery, Kubernetes and Firestore), Kafka and MongoDB. Detailed knowledge of querying data and building pipelines with SQL (ideally in BigQuery or similar database engines) and other tools, including the ability to work with complex data structures and very large data volumes. Proactive, independent, responsible and attentive to detail. Eager and able to learn, analyse, resolve problems, and improve the standard of BVGroup data infrastructure. Degree in a scientific or quantitative field. Ideally knowledge of sports betting and familiarity with gaming data. How we hire: Our interviews are a two-way process, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational, and we want to get the best from you, so come at us with questions and be curious. In the event that we receive sufficient applications for the role, this vacancy may be subject to early closure. Therefore, if you are interested, please submit your application as early as possible.
Feb 19, 2025
Full time
We are BVGroup a dynamic team that's shaping the future of online sport betting and gaming. We're dedicated to fostering a culture of innovation and excellence and as a leading global brand, we're committed to delivering top-tier products and services to our customers. We are looking for a Data Engineer to become part of our growing team. Expected responsibilities Building and maintaining new production services that integrate into the rest of the company's technology stack and provide critical business services. Improving and upgrading the DS stack, including anti-fragility and other technical debt. Collaborate with data scientists on their projects, particularly on the design of tools and data models, and other technical aspects. Contribute to business projects that have engineering implications, particularly on the design of tools and data models, and ensuring that engineering requirements of a project are properly defined. Person profile Detailed experience as a Data Engineer, particularly with Python, Airflow, Terraform, Git, GitLab (including CI/CD pipelines), GCP (particularly BigQuery, Kubernetes and Firestore), Kafka and MongoDB. Detailed knowledge of querying data and building pipelines with SQL (ideally in BigQuery or similar database engines) and other tools, including the ability to work with complex data structures and very large data volumes. Proactive, independent, responsible and attentive to detail. Eager and able to learn, analyse, resolve problems, and improve the standard of BVGroup data infrastructure. Degree in a scientific or quantitative field. Ideally knowledge of sports betting and familiarity with gaming data. How we hire: Our interviews are a two-way process, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational, and we want to get the best from you, so come at us with questions and be curious. In the event that we receive sufficient applications for the role, this vacancy may be subject to early closure. Therefore, if you are interested, please submit your application as early as possible.
MRC Laboratory Of Molecular Biology, UKRI Postdoctoral Scientist Salary £41,344 per annum 2 year fixed term MRC Laboratory of Molecular Biology, Cambridge, UK Applications are invited for a Postdoctoral Scientist position in the Group of Dr Phil Holliger. The Group are further developing an ultrahigh throughput technology called deep screening (Porebski et al. (2024) Nat. Biomed. Eng 8, 214-232). Candidates must have a PhD degree in a biological subject or be due to complete a PhD within 6 months. You should have experience in recombinant DNA technology, a strong background in molecular genetics techniques and an interest in technology development. Ideally, you will also have experience in in vitro evolution and next-generation sequencing techniques. Practical experience in bioinformatics and machine learning techniques will be considered a bonus. This is a two-year training and development position suitable for you if you have recently completed your doctoral studies, or you are looking to move into a new research discipline and/or need to further develop your research skills. Working with our world-class scientists, you will be working in an Institute renowned for its excellent scientific facilities and high-quality research. The LMB has a collaborative working culture and state-of-the-art building based on the Cambridge Biomedical Campus. We have on-site parking, cycle enclosures and excellent public transport links to the site. We have a staff restaurant with roof terrace and access to a Campus nursery and sports and social facilities. You will be eligible to join our defined benefit pension scheme with an employer contribution of 16%, holiday entitlement of 40.5 days (including bank holidays and privilege days) and a generous employee discount scheme. We are also committed to providing training and development opportunities including support towards role-related qualifications. The LMB is a world-class research institute within UK Research and Innovation (UKRI). UKRI is nine research councils, working together across all disciplines and sectors. More information can be found at and . If you are unable to apply online, please email us at . Closing date: 06/03/2025 Final appointments will be subject to a pre-employment screening. We actively support equality, diversity and inclusion in all our activities, processes and culture. We encourage applications from all sections of society. The LMB particularly welcomes women, minority ethnic and disabled candidates to apply for this vacancy as they are currently under-represented. We are a disability inclusive employer and encourage disabled people to apply for this role. You are very welcome to contact us for information about the application process and any adjustments you may require; .
Feb 19, 2025
Full time
MRC Laboratory Of Molecular Biology, UKRI Postdoctoral Scientist Salary £41,344 per annum 2 year fixed term MRC Laboratory of Molecular Biology, Cambridge, UK Applications are invited for a Postdoctoral Scientist position in the Group of Dr Phil Holliger. The Group are further developing an ultrahigh throughput technology called deep screening (Porebski et al. (2024) Nat. Biomed. Eng 8, 214-232). Candidates must have a PhD degree in a biological subject or be due to complete a PhD within 6 months. You should have experience in recombinant DNA technology, a strong background in molecular genetics techniques and an interest in technology development. Ideally, you will also have experience in in vitro evolution and next-generation sequencing techniques. Practical experience in bioinformatics and machine learning techniques will be considered a bonus. This is a two-year training and development position suitable for you if you have recently completed your doctoral studies, or you are looking to move into a new research discipline and/or need to further develop your research skills. Working with our world-class scientists, you will be working in an Institute renowned for its excellent scientific facilities and high-quality research. The LMB has a collaborative working culture and state-of-the-art building based on the Cambridge Biomedical Campus. We have on-site parking, cycle enclosures and excellent public transport links to the site. We have a staff restaurant with roof terrace and access to a Campus nursery and sports and social facilities. You will be eligible to join our defined benefit pension scheme with an employer contribution of 16%, holiday entitlement of 40.5 days (including bank holidays and privilege days) and a generous employee discount scheme. We are also committed to providing training and development opportunities including support towards role-related qualifications. The LMB is a world-class research institute within UK Research and Innovation (UKRI). UKRI is nine research councils, working together across all disciplines and sectors. More information can be found at and . If you are unable to apply online, please email us at . Closing date: 06/03/2025 Final appointments will be subject to a pre-employment screening. We actively support equality, diversity and inclusion in all our activities, processes and culture. We encourage applications from all sections of society. The LMB particularly welcomes women, minority ethnic and disabled candidates to apply for this vacancy as they are currently under-represented. We are a disability inclusive employer and encourage disabled people to apply for this role. You are very welcome to contact us for information about the application process and any adjustments you may require; .
Employer: Colchester United FC Job Title: Sport Science Internship (unpaid) Location: Florence Park Training Ground Closing Date: 8 th March 2025 We have an exciting opportunity to recruit a highly motivated, innovative, and committed individual, to undertake an unpaid internship role within the Sport Science Department at Colchester United working across academy age groups. This is a fantastic opportunity for a new practitioner looking to gain more experience within a professional football club, assisting on a number of pitch and gym-based sessions. We will offer assistance with gaining industry recognised accreditation via experience, along with internal and external CPD opportunities. Key internship duties: Provide assistance on monitoring training load Assisting with general training and gym setup Assist with the delivery of academy physical development sessions for players across the academy age groups Collaborating and contributing towards the physical development and rehabilitation of PDP players Be available to accompany teams on match days Assist with conducting physical profiling of professional players Assist with the delivery and development of athletic development programmes for Junior Academy age groups Placement working hours are considered to be full-time, with working hours fluctuating based on the fixture list. Therefore, some evening and weekend work will be required. The candidate will be required to commit for the duration of the 2025/26 season. Essential: Studying towards a degree in sport science degree or relevant discipline Experience working with athletes (amateur or professional) Ability to commit for the duration of the 2025/26 season Full UK driving license The necessary DBS check will apply to this post. Desirable: Experience of working within football Experience of coaching youth Proficiency with Microsoft Office Reports to : Lead Academy Sports Scientist Colchester United FC and CUFC in the Community Trust are committed to Equality.
Feb 18, 2025
Contractor
Employer: Colchester United FC Job Title: Sport Science Internship (unpaid) Location: Florence Park Training Ground Closing Date: 8 th March 2025 We have an exciting opportunity to recruit a highly motivated, innovative, and committed individual, to undertake an unpaid internship role within the Sport Science Department at Colchester United working across academy age groups. This is a fantastic opportunity for a new practitioner looking to gain more experience within a professional football club, assisting on a number of pitch and gym-based sessions. We will offer assistance with gaining industry recognised accreditation via experience, along with internal and external CPD opportunities. Key internship duties: Provide assistance on monitoring training load Assisting with general training and gym setup Assist with the delivery of academy physical development sessions for players across the academy age groups Collaborating and contributing towards the physical development and rehabilitation of PDP players Be available to accompany teams on match days Assist with conducting physical profiling of professional players Assist with the delivery and development of athletic development programmes for Junior Academy age groups Placement working hours are considered to be full-time, with working hours fluctuating based on the fixture list. Therefore, some evening and weekend work will be required. The candidate will be required to commit for the duration of the 2025/26 season. Essential: Studying towards a degree in sport science degree or relevant discipline Experience working with athletes (amateur or professional) Ability to commit for the duration of the 2025/26 season Full UK driving license The necessary DBS check will apply to this post. Desirable: Experience of working within football Experience of coaching youth Proficiency with Microsoft Office Reports to : Lead Academy Sports Scientist Colchester United FC and CUFC in the Community Trust are committed to Equality.
