Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Golang Software Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role • Create and maintaining microservices, primarily in Golang, taking increasing responsibility. • Assist with design and build to solve bugs, improve performance, and add new features. • Containerise your services and make ready for deployment onto a k8s environment using helm charts. • Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. • Write tests with high coverage including unit, contract, e2e and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low level envs. • Participate in the review of team members code. • Perform demos and join acceptance discussions with analysts, developers and product owners. • Assist in task planning and review as part of a sprint based workflow. • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. • The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. • You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. • You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. • You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. • You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. • You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Golang Software Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role • Create and maintaining microservices, primarily in Golang, taking increasing responsibility. • Assist with design and build to solve bugs, improve performance, and add new features. • Containerise your services and make ready for deployment onto a k8s environment using helm charts. • Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. • Write tests with high coverage including unit, contract, e2e and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low level envs. • Participate in the review of team members code. • Perform demos and join acceptance discussions with analysts, developers and product owners. • Assist in task planning and review as part of a sprint based workflow. • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. • The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. • You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. • You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. • You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. • You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. • You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Scientist Lead Data Scientist - Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. We're an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: • Perform proof-of-concept projects, engage in product design and build prototypes. • Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. • Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. • Think about how derived insights can be turned into new products and services we can offer to external clients. • Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally. • Write white papers, patents, and client facing data visualisations. • Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. Skills Required Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically: • You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. • You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. • You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes. • You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes. • You are happy and excited to explore new programming languages, technologies, and techniques. • You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: • Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). • Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. • Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: • Abide by Mastercard's security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Scientist Lead Data Scientist - Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. We're an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: • Perform proof-of-concept projects, engage in product design and build prototypes. • Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. • Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. • Think about how derived insights can be turned into new products and services we can offer to external clients. • Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally. • Write white papers, patents, and client facing data visualisations. • Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. Skills Required Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically: • You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. • You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. • You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes. • You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes. • You are happy and excited to explore new programming languages, technologies, and techniques. • You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: • Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). • Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. • Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: • Abide by Mastercard's security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Golang Software Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role • Create and maintaining microservices, primarily in Golang, taking increasing responsibility. • Assist with design and build to solve bugs, improve performance, and add new features. • Containerise your services and make ready for deployment onto a k8s environment using helm charts. • Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. • Write tests with high coverage including unit, contract, e2e and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low level envs. • Participate in the review of team members code. • Perform demos and join acceptance discussions with analysts, developers and product owners. • Assist in task planning and review as part of a sprint based workflow. • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. • The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. • You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. • You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. • You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. • You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. • You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Golang Software Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role • Create and maintaining microservices, primarily in Golang, taking increasing responsibility. • Assist with design and build to solve bugs, improve performance, and add new features. • Containerise your services and make ready for deployment onto a k8s environment using helm charts. • Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. • Write tests with high coverage including unit, contract, e2e and integration. • Version control code with git and build, test and deploy using ci/cd pipelines. • Build and test remotely on your own machine and deploy to low level envs. • Participate in the review of team members code. • Perform demos and join acceptance discussions with analysts, developers and product owners. • Assist in task planning and review as part of a sprint based workflow. • Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. • The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. • Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. • You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. • You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. • You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. • You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. • You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data ScientistLead Data Scientist Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. Were an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: Perform proof-of-concept projects, engage in product design and build prototypes. Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. Think about how derived insights can be turned into new products and services we can offer to external clients. Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally. Write white papers, patents, and client facing data visualisations. Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. Skills Required Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically: You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes. You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes. You are happy and excited to explore new programming languages, technologies, and techniques. You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data ScientistLead Data Scientist Financial Crime Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview In the Financial Crime Solutions team at Mastercard, we build and deliver products and services powered by payments data to find and stop financial crime. Were an award winning team with a proven track record of combining data science technique with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, and operating globally, we craft bespoke algorithms that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. Role As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams. In this position, you will: Perform proof-of-concept projects, engage in product design and build prototypes. Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products. Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data. Think about how derived insights can be turned into new products and services we can offer to external clients. Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally. Write white papers, patents, and client facing data visualisations. Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models. Skills Required Your passion is focused on the design of algorithms to solve real, pressing problems using data. You will have an interest in the financial services industry and want to tackle financial crime in the wider economy. You are excited by building products for clients and are keen to engage in the design processes this involves. Specifically: You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes. You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes. You are happy and excited to explore new programming languages, technologies, and techniques. You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team. You can engage in constructive criticism and aren't afraid to have your code reviewed. As we are often breaking new ground, both for Mastercard and more widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow. Exposure to Network Theory, especially social network analysis and graph diffusion analysis. Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - GolangSoftware Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role Create and maintaining microservices, primarily in Golang, taking increasing responsibility. Assist with design and build to solve bugs, improve performance, and add new features. Containerise your services and make ready for deployment onto a k8s environment using helm charts. Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. Write tests with high coverage including unit, contract, e2e and integration. Version control code with git and build, test and deploy using ci/cd pipelines. Build and test remotely on your own machine and deploy to low level envs. Participate in the review of team members code. Perform demos and join acceptance discussions with analysts, developers and product owners. Assist in task planning and review as part of a sprint based workflow. Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - GolangSoftware Engineer Overview We are looking for a software engineer to join an award winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role Create and maintaining microservices, primarily in Golang, taking increasing responsibility. Assist with design and build to solve bugs, improve performance, and add new features. Containerise your services and make ready for deployment onto a k8s environment using helm charts. Develop understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. Write tests with high coverage including unit, contract, e2e and integration. Version control code with git and build, test and deploy using ci/cd pipelines. Build and test remotely on your own machine and deploy to low level envs. Participate in the review of team members code. Perform demos and join acceptance discussions with analysts, developers and product owners. Assist in task planning and review as part of a sprint based workflow. Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. The role is hybrid, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday. All About You First and foremost, you want to build products to solve real, pressing problems for your customers. You enjoy working in a team, and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented, and enjoy writing and reviewing code to a high standard with tests to prove it. Demonstrable ability to write Python/Golang and SQL. You are happy to learn new programming languages and frameworks as necessary. You are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs and in-memory/NoSQL stores. You are familiar with working in a devops based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. You have the ability to communicate with a range of stakeholders, including subject matter experts, data scientists, software engineers and enterprise devops and security professionals. You are keen to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale up stage software engineering. You have experience or are keen to engage with productionising machine learning technologies. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
05/12/2025
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
HR Data Analyst Leeds - hybrid Permanent Summary We are seeking a strategic and detail-focused HR Data Analyst to enhance how we capture, manage, and use people data. This role is pivotal in ensuring that HR data is accurate, compliant, and insightful which will be supporting both legislative requirements and business decision-making. You will take the lead in designing a fit-for-purpose suite of reports and dashboards, improving data accessibility for employees and managers, and uncovering and communicating trends that shape our people strategy. Some of the key deliverables for the role will include: Data capture and integrity Ensuring data meets business and legal needs Collaborate with HR and system administrators to improve data accuracy and consistency in Dayforce Define and uphold data quality standard including validation and regular audits Lead initiatives to keep people data clean, Current and reliable for reporting and analysis Align HR data with broader business data sets by working with IT, Finance, and other teams. Act as HR's data conscience, ensuring GDPR compliance and proper handling of personal and management information. Reporting Design tailored HR reports and dashboards for various stakeholders Enable self-service access to HR data and insights Continuously improve reporting processes for accuracy, timeliness and usability Automate recurring reports to boost efficiency and reduce manual effort. Ensure compliance with data privacy, security, and confidentiality standards Use data visualisation tools (e.g. Power BI) for clear, user-friendly reporting Support report creation and automation for monthly and board level reporting Analysis and insights Analyse workforce trends (e.g. headcount, attrition, diversity, engagement, performance Deliver clear, actionable insights to guide HR strategy and operations Provide proactive analytics to support business initiatives Collaborate cross functionality to interpret data and support decision making Present insights to senior leaders using compelling visuals and storytelling Explore predictive analytics to enhance HR and business outcomes Oversee the full reporting lifecycle, ensuring access to a robust and evolving analytics suite Capability Building and Continuous Improvement Champion training, capability building, and data governance across the HR and operational teams. Foster continuous improvement culture by enhancing user efficiency and uphold data integrity. Lead user requirement definition and prioritisation, acting as a trusted advisor to senior HR and Payroll stakeholders in designing scalable solutions. What we're looking for: Ideally been a HR focused Data Analyst or similar role Previous experience with Dayforce (or any other HR/People System Proven experience with reporting tools such as Power BI, Tableau, SQL Solid experience in using Excel Understanding of data governance, compliance and regulatory reporting (pay, GDPR etc) Benefits include : 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days Pension with a?leading provider and?up to?8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Life Assurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to choose from inc: Dental Insurance, Gym Membership, Give As You Earn, Travel Insurance, Tax Free Bikes Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
05/12/2025
Full time
HR Data Analyst Leeds - hybrid Permanent Summary We are seeking a strategic and detail-focused HR Data Analyst to enhance how we capture, manage, and use people data. This role is pivotal in ensuring that HR data is accurate, compliant, and insightful which will be supporting both legislative requirements and business decision-making. You will take the lead in designing a fit-for-purpose suite of reports and dashboards, improving data accessibility for employees and managers, and uncovering and communicating trends that shape our people strategy. Some of the key deliverables for the role will include: Data capture and integrity Ensuring data meets business and legal needs Collaborate with HR and system administrators to improve data accuracy and consistency in Dayforce Define and uphold data quality standard including validation and regular audits Lead initiatives to keep people data clean, Current and reliable for reporting and analysis Align HR data with broader business data sets by working with IT, Finance, and other teams. Act as HR's data conscience, ensuring GDPR compliance and proper handling of personal and management information. Reporting Design tailored HR reports and dashboards for various stakeholders Enable self-service access to HR data and insights Continuously improve reporting processes for accuracy, timeliness and usability Automate recurring reports to boost efficiency and reduce manual effort. Ensure compliance with data privacy, security, and confidentiality standards Use data visualisation tools (e.g. Power BI) for clear, user-friendly reporting Support report creation and automation for monthly and board level reporting Analysis and insights Analyse workforce trends (e.g. headcount, attrition, diversity, engagement, performance Deliver clear, actionable insights to guide HR strategy and operations Provide proactive analytics to support business initiatives Collaborate cross functionality to interpret data and support decision making Present insights to senior leaders using compelling visuals and storytelling Explore predictive analytics to enhance HR and business outcomes Oversee the full reporting lifecycle, ensuring access to a robust and evolving analytics suite Capability Building and Continuous Improvement Champion training, capability building, and data governance across the HR and operational teams. Foster continuous improvement culture by enhancing user efficiency and uphold data integrity. Lead user requirement definition and prioritisation, acting as a trusted advisor to senior HR and Payroll stakeholders in designing scalable solutions. What we're looking for: Ideally been a HR focused Data Analyst or similar role Previous experience with Dayforce (or any other HR/People System Proven experience with reporting tools such as Power BI, Tableau, SQL Solid experience in using Excel Understanding of data governance, compliance and regulatory reporting (pay, GDPR etc) Benefits include : 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days Pension with a?leading provider and?up to?8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Life Assurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to choose from inc: Dental Insurance, Gym Membership, Give As You Earn, Travel Insurance, Tax Free Bikes Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
Engineering Lead - Anti-Fraud Systems Global Financial Technology Hybrid We're partnering with a global financial asset manager on a key leadership hire - an Engineering Lead to spearhead the design, development, and modernization of cutting-edge transaction monitoring and fraud detection systems. This is a rare opportunity to lead a high-performing team and shape the future of fraud prevention and financial crime technology within one of the world's most respected investment organizations. Paying up to £120,000 base including a package of up to £170,000 you will be based out of their City of London offices. The Role: As Engineering Lead, you'll guide a talented team of engineers within the Anti-Fraud Engineering function, part of the company's wider Security, Fraud, and Financial Crime capability. You'll drive the delivery of scalable, secure, and intelligent systems that protect millions of global clients and their investments. Your leadership will blend hands-on technical direction with empathetic people management, ensuring the team grows in capability, confidence, and cohesion as the business evolves. Key Responsibilities: Lead and develop a cross-functional team of engineers, fostering a culture of trust, inclusion, and technical excellence. Architect and deliver a bespoke fraud detection and transaction monitoring platform using modern cloud and data technologies. Collaborate closely with product, data science, and financial crime experts to define the technical strategy and vision. Champion engineering best practices - from code quality and security to automation and continuous delivery. Drive continuous improvement across tooling, processes, and team workflows. Provide mentorship, coaching, and career development support tailored to individual growth paths. Requirements: You're a technically strong, people-first leader with a passion for building impactful systems and developing high-performing teams. You thrive in a collaborative environment where innovation, security, and scalability matter equally. Proven experience as an Engineering Lead, Technical Lead, or Senior Engineer delivering large-scale, high-impact systems. Line management or mentoring experience, with a genuine commitment to team growth and wellbeing. Strong hands-on skills in: AWS (or equivalent cloud platforms) Python / PySpark for data engineering and automation TypeScript, Node.js, React.js for full-stack development Solid grasp of distributed systems design, secure coding, and data privacy principles. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Experience with modern DevOps practices (CI/CD, Terraform, CloudFormation). If you have the skills and experience required and you're ready to lead impactful engineering team, apply now! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
05/12/2025
Full time
Engineering Lead - Anti-Fraud Systems Global Financial Technology Hybrid We're partnering with a global financial asset manager on a key leadership hire - an Engineering Lead to spearhead the design, development, and modernization of cutting-edge transaction monitoring and fraud detection systems. This is a rare opportunity to lead a high-performing team and shape the future of fraud prevention and financial crime technology within one of the world's most respected investment organizations. Paying up to £120,000 base including a package of up to £170,000 you will be based out of their City of London offices. The Role: As Engineering Lead, you'll guide a talented team of engineers within the Anti-Fraud Engineering function, part of the company's wider Security, Fraud, and Financial Crime capability. You'll drive the delivery of scalable, secure, and intelligent systems that protect millions of global clients and their investments. Your leadership will blend hands-on technical direction with empathetic people management, ensuring the team grows in capability, confidence, and cohesion as the business evolves. Key Responsibilities: Lead and develop a cross-functional team of engineers, fostering a culture of trust, inclusion, and technical excellence. Architect and deliver a bespoke fraud detection and transaction monitoring platform using modern cloud and data technologies. Collaborate closely with product, data science, and financial crime experts to define the technical strategy and vision. Champion engineering best practices - from code quality and security to automation and continuous delivery. Drive continuous improvement across tooling, processes, and team workflows. Provide mentorship, coaching, and career development support tailored to individual growth paths. Requirements: You're a technically strong, people-first leader with a passion for building impactful systems and developing high-performing teams. You thrive in a collaborative environment where innovation, security, and scalability matter equally. Proven experience as an Engineering Lead, Technical Lead, or Senior Engineer delivering large-scale, high-impact systems. Line management or mentoring experience, with a genuine commitment to team growth and wellbeing. Strong hands-on skills in: AWS (or equivalent cloud platforms) Python / PySpark for data engineering and automation TypeScript, Node.js, React.js for full-stack development Solid grasp of distributed systems design, secure coding, and data privacy principles. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Experience with modern DevOps practices (CI/CD, Terraform, CloudFormation). If you have the skills and experience required and you're ready to lead impactful engineering team, apply now! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Head of Data - Data Architecture, Data Strategy/Governance, Data Science/Analysis/Engineering; frameworks, data operating model (TOM), compliance, risk, automation; management information (MI) reporting, PowerBI, SQL, ADF, Azure Data Warehousing / Data Lakes. Permanent, London / Hybrid (3/2) c.£150k (Negotiable) +Bonus +Benefits Global organisation seeks Head of Data to lead strategy around data architecture, data governance, platform enhancement and MI reporting development across all systems which support business decisions and improve operations. Working in a senior level capacity, initially within an individual contributors role (initially) the Head of Data will undertake a number of strategic and tactical duties including: Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI / NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support / develop the ongoing data architecture roadmap in relation to business operations Enhance the Management Information Reporting Dashboard / DV landscape defining standards and improving output in a variety of products, albeit with a strong focus on PowerBI / Power Automate and the broader Microsoft stack Lead governance processes for data access and stewardship (inc regulatory compliance aspects) and build out the function collaborating with IT security teams / CISO where appropriate Build out and lead a multi-disciplinary team of data focussed personnel We seek a senior level Data Manager with significant experience engaging with C-Level execs who possess a range of hands-on, tactical and strategic skills and experience including: Extensive experience in developing data strategy, governance, architecture and data integration Enhancement of data orchestration across all relevant systems (Sharepoint/MSFT Stack, CRM, Finance, HRIS, various industry specific Commercial/Business Systems - relevant to your background) in order to meet the needs of the strategic data roadmap Experience of identifying and selecting appropriate reporting platforms and tools and background in hands-on development of platforms/dashboards inc SQL, ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data - Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI / NLP / ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at the most senior level of a global organisation We are open to receiving applications from across a broad range of industries including Professional Services, Legal Services, Financial Services or Consultancy inc Deloitte, PwC, KMPG, Accenture, EY, McKinsey & Company etc albeit with significant experience gained inhouse developing, implementing and delivering a data strategy over a number of years. You may have been working as a Head of Data, Lead Data Scientist, Chief Data Officer, Data Engineering Manager or Lead (Senior) Data Analyst but we are open to discussion based on experience. You will possess exceptional communication skills and have the commercial acumen to be able to influence at the most senior level of this global organisation utilising experience working in similar inhouse / clientside environments (experience previously in consulting would be valuable in addition to this inhouse experience). Excellent opportunity to develop data strategy combining advanced analytics with business intelligence, and lead the enhancement of enterprise-wide data solutions across a global organisation.
05/12/2025
Full time
Head of Data - Data Architecture, Data Strategy/Governance, Data Science/Analysis/Engineering; frameworks, data operating model (TOM), compliance, risk, automation; management information (MI) reporting, PowerBI, SQL, ADF, Azure Data Warehousing / Data Lakes. Permanent, London / Hybrid (3/2) c.£150k (Negotiable) +Bonus +Benefits Global organisation seeks Head of Data to lead strategy around data architecture, data governance, platform enhancement and MI reporting development across all systems which support business decisions and improve operations. Working in a senior level capacity, initially within an individual contributors role (initially) the Head of Data will undertake a number of strategic and tactical duties including: Developing data initiatives in line with wider business strategy Engage with senior business leaders and technology management to design a Target Data Operating Model Develop the firms AI / NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimise existing technology to support / develop the ongoing data architecture roadmap in relation to business operations Enhance the Management Information Reporting Dashboard / DV landscape defining standards and improving output in a variety of products, albeit with a strong focus on PowerBI / Power Automate and the broader Microsoft stack Lead governance processes for data access and stewardship (inc regulatory compliance aspects) and build out the function collaborating with IT security teams / CISO where appropriate Build out and lead a multi-disciplinary team of data focussed personnel We seek a senior level Data Manager with significant experience engaging with C-Level execs who possess a range of hands-on, tactical and strategic skills and experience including: Extensive experience in developing data strategy, governance, architecture and data integration Enhancement of data orchestration across all relevant systems (Sharepoint/MSFT Stack, CRM, Finance, HRIS, various industry specific Commercial/Business Systems - relevant to your background) in order to meet the needs of the strategic data roadmap Experience of identifying and selecting appropriate reporting platforms and tools and background in hands-on development of platforms/dashboards inc SQL, ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data - Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI / NLP / ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at the most senior level of a global organisation We are open to receiving applications from across a broad range of industries including Professional Services, Legal Services, Financial Services or Consultancy inc Deloitte, PwC, KMPG, Accenture, EY, McKinsey & Company etc albeit with significant experience gained inhouse developing, implementing and delivering a data strategy over a number of years. You may have been working as a Head of Data, Lead Data Scientist, Chief Data Officer, Data Engineering Manager or Lead (Senior) Data Analyst but we are open to discussion based on experience. You will possess exceptional communication skills and have the commercial acumen to be able to influence at the most senior level of this global organisation utilising experience working in similar inhouse / clientside environments (experience previously in consulting would be valuable in addition to this inhouse experience). Excellent opportunity to develop data strategy combining advanced analytics with business intelligence, and lead the enhancement of enterprise-wide data solutions across a global organisation.
Head of Data and Results Location: Belfast Contract: 12-Month Fixed Term (Immediate Start) Salary: Dependent on Experience Nominate Recruitment are delighted to be partnering with a leading charitable organisation based in Belfast to recruit a Head of Data and Results on a 12-month contract. This pivotal role will lead on data strategy, performance measurement, and the successful rollout of a new Information Management System (IMS). The postholder will play a key part in driving data-led decision making, supporting impact measurement, and ensuring robust data governance across the organisation. Key Responsibilities: Collaborate with managers and frontline teams to define KPIs and success measures. Implement robust statistical and research methods to validate results data. Continuously refine metrics and methodologies to ensure accuracy and relevance. Support the rollout and implementation of a new IMS. Collaborate with internal stakeholders to define and refine system requirements. Ensure compliance with data protection legislation and alignment with the organisation's mission. Develop and implement best practice frameworks for data collection, validation, and storage. Support operational teams to maintain consistent and accurate data entry. Lead the development of data governance frameworks to ensure data quality across all programmes and services. Essential Criteria: Degree in Data Analytics, Statistics, Computer Science, Economics, Social Sciences, or a related field (or equivalent professional experience/certification). Significant experience in data analytics, business intelligence , or data management data , ideally within a mission-driven or multi-stakeholder environment. Proven experience managing large-scale IT/data system design and implementation projects. Strong working knowledge of key analytics tools such as SQL, Power BI, Tableau. Experience developing, managing, and reporting on performance measures or impact data.
05/12/2025
Contractor
Head of Data and Results Location: Belfast Contract: 12-Month Fixed Term (Immediate Start) Salary: Dependent on Experience Nominate Recruitment are delighted to be partnering with a leading charitable organisation based in Belfast to recruit a Head of Data and Results on a 12-month contract. This pivotal role will lead on data strategy, performance measurement, and the successful rollout of a new Information Management System (IMS). The postholder will play a key part in driving data-led decision making, supporting impact measurement, and ensuring robust data governance across the organisation. Key Responsibilities: Collaborate with managers and frontline teams to define KPIs and success measures. Implement robust statistical and research methods to validate results data. Continuously refine metrics and methodologies to ensure accuracy and relevance. Support the rollout and implementation of a new IMS. Collaborate with internal stakeholders to define and refine system requirements. Ensure compliance with data protection legislation and alignment with the organisation's mission. Develop and implement best practice frameworks for data collection, validation, and storage. Support operational teams to maintain consistent and accurate data entry. Lead the development of data governance frameworks to ensure data quality across all programmes and services. Essential Criteria: Degree in Data Analytics, Statistics, Computer Science, Economics, Social Sciences, or a related field (or equivalent professional experience/certification). Significant experience in data analytics, business intelligence , or data management data , ideally within a mission-driven or multi-stakeholder environment. Proven experience managing large-scale IT/data system design and implementation projects. Strong working knowledge of key analytics tools such as SQL, Power BI, Tableau. Experience developing, managing, and reporting on performance measures or impact data.
Information Security Manager Location: Oxfordshire Salary: £48,000 - £57,000 Contract: Permanent, Full-Time Hybrid Working: 50/50 split Team size: 1 direct report (Junior InfoSec Analyst) Ready to lead the charge in safeguarding cutting-edge science? Join my client , a world-renowned research organisation, as their Information Security Manager . This is your chance to make a real impact, protecting vital data and systems while enabling groundbreaking environmental research. Why this role matters Cybersecurity isn't just about defence - it's about empowering innovation. In this hands-on leadership role, you'll shape the security strategy, mentor a talented team, and embed a culture of security across the organisation. Reporting to the Head of IT, you'll combine strategic vision with technical expertise to keep my client resilient and future-ready. What you'll do Lead my client's Information Security programme with creativity and cost-effectiveness Manage a small, dedicated team and oversee budgets Develop and maintain security policies, standards, and procedures Drive risk assessments, incident response, and internal reporting Champion security awareness through training for all staff Recommend and implement cutting-edge security technologies Communicate security goals clearly across diverse teams What we're looking for Proven experience in Information Security Management or similar Professional qualification (CISSP, CISM) or relevant degree Strong knowledge of frameworks: Cyber Essentials, GDPR, ISO27001, NIST Technical expertise in Cloud, Data Analytics, Security Technologies Experience managing security within business and tech-led projects Excellent communication skills - able to make complex concepts simple A strategic thinker who sees security as a business enabler Why join my client? You'll work alongside scientists and technologists tackling global environmental challenges. My client values excellence, integrity, and teamwork , and is committed to helping you grow professionally while making a difference.
05/12/2025
Full time
Information Security Manager Location: Oxfordshire Salary: £48,000 - £57,000 Contract: Permanent, Full-Time Hybrid Working: 50/50 split Team size: 1 direct report (Junior InfoSec Analyst) Ready to lead the charge in safeguarding cutting-edge science? Join my client , a world-renowned research organisation, as their Information Security Manager . This is your chance to make a real impact, protecting vital data and systems while enabling groundbreaking environmental research. Why this role matters Cybersecurity isn't just about defence - it's about empowering innovation. In this hands-on leadership role, you'll shape the security strategy, mentor a talented team, and embed a culture of security across the organisation. Reporting to the Head of IT, you'll combine strategic vision with technical expertise to keep my client resilient and future-ready. What you'll do Lead my client's Information Security programme with creativity and cost-effectiveness Manage a small, dedicated team and oversee budgets Develop and maintain security policies, standards, and procedures Drive risk assessments, incident response, and internal reporting Champion security awareness through training for all staff Recommend and implement cutting-edge security technologies Communicate security goals clearly across diverse teams What we're looking for Proven experience in Information Security Management or similar Professional qualification (CISSP, CISM) or relevant degree Strong knowledge of frameworks: Cyber Essentials, GDPR, ISO27001, NIST Technical expertise in Cloud, Data Analytics, Security Technologies Experience managing security within business and tech-led projects Excellent communication skills - able to make complex concepts simple A strategic thinker who sees security as a business enabler Why join my client? You'll work alongside scientists and technologists tackling global environmental challenges. My client values excellence, integrity, and teamwork , and is committed to helping you grow professionally while making a difference.
Econometrician / Statistician - Global Research & Insights - 3 Month FTC Use data to tell the story of global wealth. We're looking for an econometrician or statistician with a curious mind and a passion for uncovering patterns in complex data to join a market-leading global research team . This is a unique chance to work on a flagship international project that shapes how the world understands wealth, opportunity, and economic change. In this role, you'll take the lead on building, refining, and maintaining a proprietary global wealth model -the foundation for one of the world's most respected research publications. You'll apply your expertise in econometrics and statistical analysis to bring data to life, identifying trends that influence major decisions in business, policy, and investment. You'll be part of a collaborative, forward-thinking analytics team that values creativity, rigour, and independence. Every day, you'll work with global datasets, perform in-depth econometric modelling, and create clear, compelling outputs that help audiences make sense of an ever-changing world. What you'll be doing Lead the development and enhancement of a proprietary wealth sizing model. Conduct sophisticated econometric analysis using international datasets. Source, clean, and validate large, complex data from multiple countries. Turn analysis into clear insights through reports, dashboards, and visualisations. Collaborate with data scientists, engineers, and researchers to deliver impactful, data-driven projects. What we're looking for Strong background in econometrics, applied statistics, or quantitative economics. Solid experience in regression-based modelling and statistical distributions. Confidence working independently with minimal supervision. Skilled in identifying and sourcing data from global and national sources. Excellent communication skills with the ability to translate analysis into clear narratives. A proactive, curious mindset and a passion for problem-solving with data. The details Contract: Short-term Location: Central London Team: Global Research & Analytics, reporting to the Head of Data Science Why this role? This is more than a data role - it's a chance to shape global understanding . You'll be working at the cutting edge of economic insight, contributing to a project read by leaders and influencers around the world. If you're passionate about data, storytelling, and impact, this is your opportunity to make your mark.
05/12/2025
Full time
Econometrician / Statistician - Global Research & Insights - 3 Month FTC Use data to tell the story of global wealth. We're looking for an econometrician or statistician with a curious mind and a passion for uncovering patterns in complex data to join a market-leading global research team . This is a unique chance to work on a flagship international project that shapes how the world understands wealth, opportunity, and economic change. In this role, you'll take the lead on building, refining, and maintaining a proprietary global wealth model -the foundation for one of the world's most respected research publications. You'll apply your expertise in econometrics and statistical analysis to bring data to life, identifying trends that influence major decisions in business, policy, and investment. You'll be part of a collaborative, forward-thinking analytics team that values creativity, rigour, and independence. Every day, you'll work with global datasets, perform in-depth econometric modelling, and create clear, compelling outputs that help audiences make sense of an ever-changing world. What you'll be doing Lead the development and enhancement of a proprietary wealth sizing model. Conduct sophisticated econometric analysis using international datasets. Source, clean, and validate large, complex data from multiple countries. Turn analysis into clear insights through reports, dashboards, and visualisations. Collaborate with data scientists, engineers, and researchers to deliver impactful, data-driven projects. What we're looking for Strong background in econometrics, applied statistics, or quantitative economics. Solid experience in regression-based modelling and statistical distributions. Confidence working independently with minimal supervision. Skilled in identifying and sourcing data from global and national sources. Excellent communication skills with the ability to translate analysis into clear narratives. A proactive, curious mindset and a passion for problem-solving with data. The details Contract: Short-term Location: Central London Team: Global Research & Analytics, reporting to the Head of Data Science Why this role? This is more than a data role - it's a chance to shape global understanding . You'll be working at the cutting edge of economic insight, contributing to a project read by leaders and influencers around the world. If you're passionate about data, storytelling, and impact, this is your opportunity to make your mark.
Head of Artificial Intelligence (AI) Location: Manchester Salary: Excellent Salary + Bonus + Car Allowance + Benefits Shape the Future of AI Join an award-winning, internationally recognised SaaS leader as their Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company's AI strategy and identify high-value opportunities Lead AI initiatives from vision through to production deployment Build business cases that influence senior stakeholders Empower teams to scale AI across the organisation Maintain technology RADAR and manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/ Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine leading AI innovation with genuine autonomy and working an entrepreneurial, world-class leadership team. You won't just advise or research you will execute production systems serving a prestigious international client base. Apply now for this exceptional opportunity to lead strategic decision making, technical delivery and market impact, backed by a market-leading international organisation offering an excellent compensation package. INDAMS
05/12/2025
Full time
Head of Artificial Intelligence (AI) Location: Manchester Salary: Excellent Salary + Bonus + Car Allowance + Benefits Shape the Future of AI Join an award-winning, internationally recognised SaaS leader as their Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company's AI strategy and identify high-value opportunities Lead AI initiatives from vision through to production deployment Build business cases that influence senior stakeholders Empower teams to scale AI across the organisation Maintain technology RADAR and manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/ Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine leading AI innovation with genuine autonomy and working an entrepreneurial, world-class leadership team. You won't just advise or research you will execute production systems serving a prestigious international client base. Apply now for this exceptional opportunity to lead strategic decision making, technical delivery and market impact, backed by a market-leading international organisation offering an excellent compensation package. INDAMS
To see more Chinese jobs please follow us on WeChat: teamchinapf AND pfteamchina Ref: 22973 The Skills You'll Need: Fluent in Mandarin, IT Infrastructure, System Administration working experience. Your New Salary: Depending on experience Office based Start: ASAP Working hours : 35 hours Mandarin Speaking IT Infrastructure Manager - What You'll be Doing: Responsible for the daily operation and maintenance of IT rooms, SAN storage, tape backup, AS400 systems, x86 platform systems, database, anti-virus systems with all supporting facilities and application systems within the department that includes but not limited to daily system monitoring and maintenance, system change management, system capacity management, data management, IT service management, incident and failure management, and emergency management Lead IT projects that includes project budgeting and planning, carrying out business requests analysis and control, proposing and reviewing technical solutions, supervising implementation process, and examining project delivery Responsible for the establishment and renewal of IT specifications related to AS400 systems, x86 platform systems, database, SAN, tape backup, anti-virus systems, IT rooms with all supporting facilities and online devices Propose implementation procedures to Management according to Head Office's policies and IT Centre's requirements Assess systems, IT rooms and IT devices security risk, proposing security risk control solutions and being responsible for execution. Responsible for the design and maintenance of contingency plans of the above systems, carrying out annual disaster recovery testing and contingency plans testing Carry out research on new technologies and products, carrying out technical solution design for the continuing development of IT Centre Mandarin Speaking IT Infrastructure Manager - The Skills You'll Need to Succeed: Degree educated in Information Technology, Computer Science, Software Engineering or other equivalent Certificate in SSCP, MCSA, RHCE, CCNP is preferred Experience in system administration (e.g. Windows Server, Linux) Experience in virtual technology products (e.g. VMware, Hyper-V) Experience in IT room and device administration Experience in project management Knowledge of principles of Information Technology Knowledge of database operations and management Knowledge of Information Security, Cyber Security and GDPR Good problem solving skills Team player Excellent English and Mandarin communication skills Please view all our Team China jobs at people-first-recruitment Please follow us on Linkedin: people-first-team-china We would be grateful if you could send your CV as a Word document. If your application is successful, you will be contacted within 7 days. We regret that due to the high volume of applications we receive we cannot provide feedback on individual CVs. Please note that we can only consider candidates who are eligible to work in the UK and are able to provide relevant supporting documentation. People First is committed to increasing diversity, and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status or whether or not they have a disability. People First (Recruitment) Limited acts as an employment agency for permanent and fixed term contract recruitment and as an employment business for the supply of temporary workers. Please note that by applying for this job you accept our Terms of Use and Privacy Policy which can be found on our website.
05/12/2025
Full time
To see more Chinese jobs please follow us on WeChat: teamchinapf AND pfteamchina Ref: 22973 The Skills You'll Need: Fluent in Mandarin, IT Infrastructure, System Administration working experience. Your New Salary: Depending on experience Office based Start: ASAP Working hours : 35 hours Mandarin Speaking IT Infrastructure Manager - What You'll be Doing: Responsible for the daily operation and maintenance of IT rooms, SAN storage, tape backup, AS400 systems, x86 platform systems, database, anti-virus systems with all supporting facilities and application systems within the department that includes but not limited to daily system monitoring and maintenance, system change management, system capacity management, data management, IT service management, incident and failure management, and emergency management Lead IT projects that includes project budgeting and planning, carrying out business requests analysis and control, proposing and reviewing technical solutions, supervising implementation process, and examining project delivery Responsible for the establishment and renewal of IT specifications related to AS400 systems, x86 platform systems, database, SAN, tape backup, anti-virus systems, IT rooms with all supporting facilities and online devices Propose implementation procedures to Management according to Head Office's policies and IT Centre's requirements Assess systems, IT rooms and IT devices security risk, proposing security risk control solutions and being responsible for execution. Responsible for the design and maintenance of contingency plans of the above systems, carrying out annual disaster recovery testing and contingency plans testing Carry out research on new technologies and products, carrying out technical solution design for the continuing development of IT Centre Mandarin Speaking IT Infrastructure Manager - The Skills You'll Need to Succeed: Degree educated in Information Technology, Computer Science, Software Engineering or other equivalent Certificate in SSCP, MCSA, RHCE, CCNP is preferred Experience in system administration (e.g. Windows Server, Linux) Experience in virtual technology products (e.g. VMware, Hyper-V) Experience in IT room and device administration Experience in project management Knowledge of principles of Information Technology Knowledge of database operations and management Knowledge of Information Security, Cyber Security and GDPR Good problem solving skills Team player Excellent English and Mandarin communication skills Please view all our Team China jobs at people-first-recruitment Please follow us on Linkedin: people-first-team-china We would be grateful if you could send your CV as a Word document. If your application is successful, you will be contacted within 7 days. We regret that due to the high volume of applications we receive we cannot provide feedback on individual CVs. Please note that we can only consider candidates who are eligible to work in the UK and are able to provide relevant supporting documentation. People First is committed to increasing diversity, and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status or whether or not they have a disability. People First (Recruitment) Limited acts as an employment agency for permanent and fixed term contract recruitment and as an employment business for the supply of temporary workers. Please note that by applying for this job you accept our Terms of Use and Privacy Policy which can be found on our website.
Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits A fast-growing Data & AI company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you'll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices in model deployment, evaluation, and optimisation. What we're looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and providing an environment to learn on the job. If you want to lead AI innovation from concept to impact and be part of a team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership
05/12/2025
Full time
Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits A fast-growing Data & AI company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you'll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices in model deployment, evaluation, and optimisation. What we're looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and providing an environment to learn on the job. If you want to lead AI innovation from concept to impact and be part of a team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
05/12/2025
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
05/12/2025
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Are you passionate about data and its power to drive operational resilience? Do you want to be able to shape the early stages of a new business area? Do you want to play a pivotal role in improving power resilience across thousands of assets, directly reducing harm to customers and the environment? We're looking for a Data Analyst to join our Strategic Programme team and help shape the future of power resilience at Thames Water. What you'll be doing as a Power Energy Data Analyst This role begins as part of a high-profile programme and will transition into a live operational role reporting to the Head of Power. You'll work with data from over 8,000 assets, developing metrics to assess and improve their resilience. Your insights will support strategic planning, risk mitigation, and performance optimisation across the Power function.Your key responsibilities will include: Leading the gathering, integration, and interpretation of operational data to generate actionable insights. Providing detailed analysis to support planning, performance tracking, and risk mitigation. Developing dashboards and reporting tools to support leadership decision-making. Contributing to business cases with financial and risk-based analysis. Supporting strategic planning and performance measurement across the Power function. Collaborating with stakeholders across the business to ensure data-driven programme success. Developing solutions and metrics to assess how resilient Thames Water's 8,000+ assets are. Location: You will be based at either Kemble Court, Maple Lodge WTW or Mogden STW. Please note: the internal title for this role is Power Resilience Analyst What you should bring to the role Previous experience as a data analyst. Has experience of starting from scratch using common tools (e.g. Excel) as well as working with more sophisticated analysis tools and techniques when data maturity evolves. Strong IT literacy with emphasis on MS Excel within the MS Office suite- you will be a "power user" of the full scope of data analytics possible in Excel. Experience with reporting/analysis/visualisation tools such as Power BI, SQL or similar. Knowledge of Power Automate, Visio, and MS Forms or similar commonly used tools. Ability to work under pressure and effectively prioritise conflicting requirements. Desirable experience includes: Experience related to the industrial use or provision of power (electricity). Experience of risk management within a project/programme or business environment. Experience and ability working on a programme project. What's in it for you? This is your opportunity to play a key role in shaping how we manage and improve power resilience across Thames Water. You'll work with a wide range of stakeholders and contribute to strategic initiatives that support safe, efficient, and reliable services. Offering between £43,000 to £48,000 depending on experience and skills 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays) Performance-related pay plan directly linked to company performance measures and targets Generous Pension Scheme through AON. Access to lots of benefits to help you take care of you and your family's health and wellbeing, and your finances - from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance. Find out more about our benefits and perks Who are we? We're the UK's largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people, and the planet to thrive. It's a big job and we've got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come. Learn more about our purpose and values Working at Thames Water Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you'll enjoy fast-tracked career opportunities, flexible working arrangements and excellent benefits.Whether you're interested in a role in one of our call centres or science labs, we're looking for people like you with real passion and a burning desire to make things better.So, if you're looking for a sustainable and successful career where you can make a daily difference to millions of people's lives while helping to protect the world of water for future generations, we'll be here to support you every step of the way. Together, we can build a better future for our customers, our region and our planet.Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more.Our overarching aim is to ensure that Thames Water is a great, diverse, and inclusive place to work. We welcome applications from everyone and offer extra support for those who need it throughout the recruitment process. Our aim is to remove any real or perceived barriers to success, so if you need assistance, we're here to help and support.When a crisis happens, we all rally around to support our customers. As part of Team Thames, you'll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It's also a great opportunity to learn more about our business and meet colleagues. Disclaimer: Due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment.
04/12/2025
Full time
Are you passionate about data and its power to drive operational resilience? Do you want to be able to shape the early stages of a new business area? Do you want to play a pivotal role in improving power resilience across thousands of assets, directly reducing harm to customers and the environment? We're looking for a Data Analyst to join our Strategic Programme team and help shape the future of power resilience at Thames Water. What you'll be doing as a Power Energy Data Analyst This role begins as part of a high-profile programme and will transition into a live operational role reporting to the Head of Power. You'll work with data from over 8,000 assets, developing metrics to assess and improve their resilience. Your insights will support strategic planning, risk mitigation, and performance optimisation across the Power function.Your key responsibilities will include: Leading the gathering, integration, and interpretation of operational data to generate actionable insights. Providing detailed analysis to support planning, performance tracking, and risk mitigation. Developing dashboards and reporting tools to support leadership decision-making. Contributing to business cases with financial and risk-based analysis. Supporting strategic planning and performance measurement across the Power function. Collaborating with stakeholders across the business to ensure data-driven programme success. Developing solutions and metrics to assess how resilient Thames Water's 8,000+ assets are. Location: You will be based at either Kemble Court, Maple Lodge WTW or Mogden STW. Please note: the internal title for this role is Power Resilience Analyst What you should bring to the role Previous experience as a data analyst. Has experience of starting from scratch using common tools (e.g. Excel) as well as working with more sophisticated analysis tools and techniques when data maturity evolves. Strong IT literacy with emphasis on MS Excel within the MS Office suite- you will be a "power user" of the full scope of data analytics possible in Excel. Experience with reporting/analysis/visualisation tools such as Power BI, SQL or similar. Knowledge of Power Automate, Visio, and MS Forms or similar commonly used tools. Ability to work under pressure and effectively prioritise conflicting requirements. Desirable experience includes: Experience related to the industrial use or provision of power (electricity). Experience of risk management within a project/programme or business environment. Experience and ability working on a programme project. What's in it for you? This is your opportunity to play a key role in shaping how we manage and improve power resilience across Thames Water. You'll work with a wide range of stakeholders and contribute to strategic initiatives that support safe, efficient, and reliable services. Offering between £43,000 to £48,000 depending on experience and skills 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays) Performance-related pay plan directly linked to company performance measures and targets Generous Pension Scheme through AON. Access to lots of benefits to help you take care of you and your family's health and wellbeing, and your finances - from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance. Find out more about our benefits and perks Who are we? We're the UK's largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people, and the planet to thrive. It's a big job and we've got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come. Learn more about our purpose and values Working at Thames Water Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you'll enjoy fast-tracked career opportunities, flexible working arrangements and excellent benefits.Whether you're interested in a role in one of our call centres or science labs, we're looking for people like you with real passion and a burning desire to make things better.So, if you're looking for a sustainable and successful career where you can make a daily difference to millions of people's lives while helping to protect the world of water for future generations, we'll be here to support you every step of the way. Together, we can build a better future for our customers, our region and our planet.Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more.Our overarching aim is to ensure that Thames Water is a great, diverse, and inclusive place to work. We welcome applications from everyone and offer extra support for those who need it throughout the recruitment process. Our aim is to remove any real or perceived barriers to success, so if you need assistance, we're here to help and support.When a crisis happens, we all rally around to support our customers. As part of Team Thames, you'll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It's also a great opportunity to learn more about our business and meet colleagues. Disclaimer: Due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment.
Head of Business Intelligence - LeedsHybrid working available. 2-3 days per week onsiteSalary - upto £55,000The Head of BI is responsible for developing and implementing the company's data and reporting strategy to provide insights for strategic, regulatory, operational, and customer decision-making. This position manages data quality and assurance by establishing controls to assess data across the organization. Effective communication is necessary to support all teams. The role also encourages a data-driven approach throughout the business and oversees the implementation of a control framework for monitoring purposes. The position leads and develops the BI/MI team with a focus on innovation and ongoing improvement. Interaction with executive stakeholders is required to identify information requirements and convert them into data solutions. The role includes designing and implementing a control framework to monitor and measure revenue assurance throughout the business.We seek a passionate, hardworking individual who drives positive change, pays attention to detail, manages workloads efficiently, meets deadlines, and is well organised.Key skills and responsibilities, Establish and direct the BI/MI strategy in alignment with organisational objectives, regulatory standards, and digital transformation efforts. Promote a data-driven culture throughout the company and implement an effective control framework for ongoing monitoring. Lead and mentor a high-performing BI/MI team, encouraging innovation and continuous development. Collaborate with executive stakeholders to assess information requirements and translate them into actionable data solutions. Design and execute a comprehensive control framework to proactively monitor and evaluate revenue assurance across all business areas. Supervise the development and maintenance of dashboards, KPIs, and reports to support operational, regulatory, and strategic needs. Analyse the existing reporting landscape and data utilisation processes to facilitate the transition towards enhanced automation and robustness in data and reporting solutions. Advanced proficiency in BI tools, data visualization, SQL, and data modelling. Skilled in data governance, quality frameworks, and cloud-based platforms (Azure, AWS). Proven team leadership and development experience. Effective communication and stakeholder engagement at all levels. Knowledge of data science and advanced analytics. Ensure the accuracy, quality, and timeliness of business intelligence outputs. Salary : £45K - £55K DOEInterested!?! Please send your up to date CV to Emma Siwicki at Crimson for immediate reviewNot interested?! Do you know anyone that might be? Refer a friend for this role to earn £250 worth of vouchers.Crimson are acting as an employment business in regards to this vacancy.
04/12/2025
Full time
Head of Business Intelligence - LeedsHybrid working available. 2-3 days per week onsiteSalary - upto £55,000The Head of BI is responsible for developing and implementing the company's data and reporting strategy to provide insights for strategic, regulatory, operational, and customer decision-making. This position manages data quality and assurance by establishing controls to assess data across the organization. Effective communication is necessary to support all teams. The role also encourages a data-driven approach throughout the business and oversees the implementation of a control framework for monitoring purposes. The position leads and develops the BI/MI team with a focus on innovation and ongoing improvement. Interaction with executive stakeholders is required to identify information requirements and convert them into data solutions. The role includes designing and implementing a control framework to monitor and measure revenue assurance throughout the business.We seek a passionate, hardworking individual who drives positive change, pays attention to detail, manages workloads efficiently, meets deadlines, and is well organised.Key skills and responsibilities, Establish and direct the BI/MI strategy in alignment with organisational objectives, regulatory standards, and digital transformation efforts. Promote a data-driven culture throughout the company and implement an effective control framework for ongoing monitoring. Lead and mentor a high-performing BI/MI team, encouraging innovation and continuous development. Collaborate with executive stakeholders to assess information requirements and translate them into actionable data solutions. Design and execute a comprehensive control framework to proactively monitor and evaluate revenue assurance across all business areas. Supervise the development and maintenance of dashboards, KPIs, and reports to support operational, regulatory, and strategic needs. Analyse the existing reporting landscape and data utilisation processes to facilitate the transition towards enhanced automation and robustness in data and reporting solutions. Advanced proficiency in BI tools, data visualization, SQL, and data modelling. Skilled in data governance, quality frameworks, and cloud-based platforms (Azure, AWS). Proven team leadership and development experience. Effective communication and stakeholder engagement at all levels. Knowledge of data science and advanced analytics. Ensure the accuracy, quality, and timeliness of business intelligence outputs. Salary : £45K - £55K DOEInterested!?! Please send your up to date CV to Emma Siwicki at Crimson for immediate reviewNot interested?! Do you know anyone that might be? Refer a friend for this role to earn £250 worth of vouchers.Crimson are acting as an employment business in regards to this vacancy.
Global Head of Data, Analytics with AI, Chief Data Officer, CDO, Enterprise Transformation, Central London Global Head of Data & Analytics Officer required to work for a Global Enterprise business based in Central London. However, this will be part remote and there will be a requirement for office presence when facing off to senior Stakeholders such as the CIO, COO and the CEO. This is a strategic leadership position with direct interaction at the highest level, including the CIO, COO, and CEO, shaping the future direction of the business. It is one of the most important hires in this company's recent history. Your mission will be to drive Data Analytics into its next phase. You will formulate an innovation and data strategy across this global organisation, enabling next-generation customer experiences, operational excellence, and ethical AI adoption. This is not incremental change - this is a step-change transformation. Read on for more details Key Responsibilities Define and execute a global Data and Analytics strategy that accelerates digital transformation, including AI Lead enterprise-scale AI deployment, from predictive analytics to generative AI solutions. Champion data governance, ethics, and compliance across all regions. Manage, build and inspire a world-class Data and Analytics leadership team. Engage directly with executive leadership to align AI initiatives with business objectives. Drive cloud-native AI ecosystems and advanced analytics platforms. Experience Required Proven track record as a Chief Data Officer, Chief Data & Analytics Officer, Chief AI Officer (with a heavy slant on Data & Analytics) or equivalent in a global enterprise. Recognised thought leader in Data and Analytics (e.g., DataIQ Top 100, industry awards, keynote speaker). Expertise in AI strategy, machine learning, and enterprise data platforms. Strong understanding of cloud technologies (AWS, Azure, GCP) and modern data architectures. Exceptional stakeholder management and communication skills. Certifications such as CDAO, AI Ethics, or advanced data science credentials are highly desirable. This is a great opportunity and package is dependent upon experience. It will be a base salary with a bonus involved, along with excellent benefits. Apply now for more details
04/12/2025
Full time
Global Head of Data, Analytics with AI, Chief Data Officer, CDO, Enterprise Transformation, Central London Global Head of Data & Analytics Officer required to work for a Global Enterprise business based in Central London. However, this will be part remote and there will be a requirement for office presence when facing off to senior Stakeholders such as the CIO, COO and the CEO. This is a strategic leadership position with direct interaction at the highest level, including the CIO, COO, and CEO, shaping the future direction of the business. It is one of the most important hires in this company's recent history. Your mission will be to drive Data Analytics into its next phase. You will formulate an innovation and data strategy across this global organisation, enabling next-generation customer experiences, operational excellence, and ethical AI adoption. This is not incremental change - this is a step-change transformation. Read on for more details Key Responsibilities Define and execute a global Data and Analytics strategy that accelerates digital transformation, including AI Lead enterprise-scale AI deployment, from predictive analytics to generative AI solutions. Champion data governance, ethics, and compliance across all regions. Manage, build and inspire a world-class Data and Analytics leadership team. Engage directly with executive leadership to align AI initiatives with business objectives. Drive cloud-native AI ecosystems and advanced analytics platforms. Experience Required Proven track record as a Chief Data Officer, Chief Data & Analytics Officer, Chief AI Officer (with a heavy slant on Data & Analytics) or equivalent in a global enterprise. Recognised thought leader in Data and Analytics (e.g., DataIQ Top 100, industry awards, keynote speaker). Expertise in AI strategy, machine learning, and enterprise data platforms. Strong understanding of cloud technologies (AWS, Azure, GCP) and modern data architectures. Exceptional stakeholder management and communication skills. Certifications such as CDAO, AI Ethics, or advanced data science credentials are highly desirable. This is a great opportunity and package is dependent upon experience. It will be a base salary with a bonus involved, along with excellent benefits. Apply now for more details
