Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 26, 2026
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 26, 2026
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 26, 2026
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 26, 2026
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Data Science & Measurement Lead Because your new ideas are our way new ways of working. Evolve, your way. We are seeking a Data Science & Measurement Lead to manage and grow a team of data scientists responsible for building advanced analytics, predictive models, and measurement solutions across Primark. This is a hands on role requiring strong technical depth in Databricks, Apache Spark, and SQL. What You'll Get People are at the heart of what we do here, so it's essential we provide you with the right environment to perform at your very best. Let's talk lifestyle: Healthcare, pension, and potential bonus. 27 days of leave, plus bank holidays and if you want, you can buy 5 more. Because Primark is all about tailoring to you, we offer Tax Saver Tickets, fitness centre, and a subsidised cafeteria. This role is a hybrid opportunity, offering 1-2 days Working from home. What You'll Do as a Data Science & Measurement Lead We want you to feel challenged and inspired. Here, you'll develop your skills across a range of responsibilities: Lead a data science team to deliver machine learning models, experimentation frameworks, and measurement solutions that drive measurable business impact. Design, build, and deploy end to end ML pipelines and workflows using Databricks, Spark, Python, SQL, and PySpark. Ensure robust operationalisation of models through scalable, reliable data pipelines and production ready ML systems. Partner closely with engineering teams to optimise distributed compute workloads and uphold data quality, monitoring, and governance standards. Establish and drive best practices in model reproducibility, experiment tracking, and end to end ML lifecycle management. Act as a trusted advisor by sharing deep technical expertise, developing team capability, and managing complex delivery plans. Leverage strong retail domain experience-ideally within apparel or grocery-to translate business needs into effective data driven solutions. What You'll Bring Here at Primark, we want everyone to feel valued - so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular: Extensive hands on experience with Databricks, Apache Spark, advanced SQL, and cloud based lakehouse architectures (Azure, AWS, or GCP), with a strong foundation in statistical modelling and machine learning techniques. Proven ability to deliver measurable commercial value through retail focused data science use cases such as demand forecasting, pricing and promotion effectiveness, allocation, stock optimisation, and waste or shrink reduction. Strong experience in experimental design and causal inference (e.g., A/B testing, quasi experiments), with a clear focus on quantifying incremental value and ensuring insights translate into action. Demonstrated experience taking models from prototype to production, establishing clear success metrics, monitoring, governance, and driving adoption across commercial and operational teams. Ability to shape and prioritise the data science roadmap by balancing business value, data readiness, and delivery risk; applies sound commercial judgement informed by market and industry trends. Proven people leader with experience mentoring and developing high performing data science teams; communicates complex technical concepts clearly to non technical stakeholders and acts as a trusted advisor to the business. Does this sound like you? Great, because we can't wait to see what you'll bring. You'll be supported within a team of equally capable people, celebrating who you are and aiding you reach your potential. At Primark, we're excited about our future - and we're excited to develop yours. About Primark At Primark, people matter. They're the beating heart of our business and the reason we've grown from our first store in Dublin in 1969 to a £9bn+ turnover business and over 80,000 colleagues and over 440 stores in 17 countries today. Our values run through everything we do. In essence, we're Caring and always strive to put people first. We're also Dynamic, bravely pushing the boundaries to stay ahead. And finally, we succeed Together. If you need any reasonable adjustments or have an accessibility request, during your recruitment journey, such as extended time or breaks between online assessments, a sign language interpreter, mobility access, or assistive technology please contact your talent acquisition specialist. All offers of employment are subject to background checks, including right to work, reference education and for some roles criminal, and financial checks. If you have any concerns, please reach out to our talent acquisition team to discuss. Our fashion isn't one size fits all and neither is our culture. Primark promotes equal employment opportunity, we strive to create an inclusive workplace where people can be themselves, access opportunities and thrive together. REQ ID: JR-7582
Apr 26, 2026
Full time
Data Science & Measurement Lead Because your new ideas are our way new ways of working. Evolve, your way. We are seeking a Data Science & Measurement Lead to manage and grow a team of data scientists responsible for building advanced analytics, predictive models, and measurement solutions across Primark. This is a hands on role requiring strong technical depth in Databricks, Apache Spark, and SQL. What You'll Get People are at the heart of what we do here, so it's essential we provide you with the right environment to perform at your very best. Let's talk lifestyle: Healthcare, pension, and potential bonus. 27 days of leave, plus bank holidays and if you want, you can buy 5 more. Because Primark is all about tailoring to you, we offer Tax Saver Tickets, fitness centre, and a subsidised cafeteria. This role is a hybrid opportunity, offering 1-2 days Working from home. What You'll Do as a Data Science & Measurement Lead We want you to feel challenged and inspired. Here, you'll develop your skills across a range of responsibilities: Lead a data science team to deliver machine learning models, experimentation frameworks, and measurement solutions that drive measurable business impact. Design, build, and deploy end to end ML pipelines and workflows using Databricks, Spark, Python, SQL, and PySpark. Ensure robust operationalisation of models through scalable, reliable data pipelines and production ready ML systems. Partner closely with engineering teams to optimise distributed compute workloads and uphold data quality, monitoring, and governance standards. Establish and drive best practices in model reproducibility, experiment tracking, and end to end ML lifecycle management. Act as a trusted advisor by sharing deep technical expertise, developing team capability, and managing complex delivery plans. Leverage strong retail domain experience-ideally within apparel or grocery-to translate business needs into effective data driven solutions. What You'll Bring Here at Primark, we want everyone to feel valued - so please bring your authentic self to work, of course with some other key experience and abilities for this role in particular: Extensive hands on experience with Databricks, Apache Spark, advanced SQL, and cloud based lakehouse architectures (Azure, AWS, or GCP), with a strong foundation in statistical modelling and machine learning techniques. Proven ability to deliver measurable commercial value through retail focused data science use cases such as demand forecasting, pricing and promotion effectiveness, allocation, stock optimisation, and waste or shrink reduction. Strong experience in experimental design and causal inference (e.g., A/B testing, quasi experiments), with a clear focus on quantifying incremental value and ensuring insights translate into action. Demonstrated experience taking models from prototype to production, establishing clear success metrics, monitoring, governance, and driving adoption across commercial and operational teams. Ability to shape and prioritise the data science roadmap by balancing business value, data readiness, and delivery risk; applies sound commercial judgement informed by market and industry trends. Proven people leader with experience mentoring and developing high performing data science teams; communicates complex technical concepts clearly to non technical stakeholders and acts as a trusted advisor to the business. Does this sound like you? Great, because we can't wait to see what you'll bring. You'll be supported within a team of equally capable people, celebrating who you are and aiding you reach your potential. At Primark, we're excited about our future - and we're excited to develop yours. About Primark At Primark, people matter. They're the beating heart of our business and the reason we've grown from our first store in Dublin in 1969 to a £9bn+ turnover business and over 80,000 colleagues and over 440 stores in 17 countries today. Our values run through everything we do. In essence, we're Caring and always strive to put people first. We're also Dynamic, bravely pushing the boundaries to stay ahead. And finally, we succeed Together. If you need any reasonable adjustments or have an accessibility request, during your recruitment journey, such as extended time or breaks between online assessments, a sign language interpreter, mobility access, or assistive technology please contact your talent acquisition specialist. All offers of employment are subject to background checks, including right to work, reference education and for some roles criminal, and financial checks. If you have any concerns, please reach out to our talent acquisition team to discuss. Our fashion isn't one size fits all and neither is our culture. Primark promotes equal employment opportunity, we strive to create an inclusive workplace where people can be themselves, access opportunities and thrive together. REQ ID: JR-7582
Our client is a leading international, specialist food and agri related manufacturer with production plants all over the world. This successful and very profitable company has 4 sites in the UK, employing a sizeable, dynamic workforce enabling them to provide excellent career and advancement opportunities. The Norfolk based site in the Fakenham area requires a further Production Operative to join the team. The role requires the operation of plant equipment to optimum levels of performance to deliver the production schedule taking necessary actions as required to maintain product quality. You will maintain production areas to the required level of hygiene standards and work closely with the engineering department to report faults. The ideal candidate will have production experience, operating machinery within a process environment. (Apply online only), 4 on 4 off shift pattern Salary 31'000 to 35'000 depending on experience Personal pension scheme with company matching up to 8% of pensionable salary (85% of salary). Long term disability insurance Death in service benefits Access to an employee discount platform. Enhanced Maternity and Paternity Leave Access to comprehensive EAP and Mental health first aiders Enhanced company sick pay after 6 months service Learning and Development Opportunities.
Apr 26, 2026
Full time
Our client is a leading international, specialist food and agri related manufacturer with production plants all over the world. This successful and very profitable company has 4 sites in the UK, employing a sizeable, dynamic workforce enabling them to provide excellent career and advancement opportunities. The Norfolk based site in the Fakenham area requires a further Production Operative to join the team. The role requires the operation of plant equipment to optimum levels of performance to deliver the production schedule taking necessary actions as required to maintain product quality. You will maintain production areas to the required level of hygiene standards and work closely with the engineering department to report faults. The ideal candidate will have production experience, operating machinery within a process environment. (Apply online only), 4 on 4 off shift pattern Salary 31'000 to 35'000 depending on experience Personal pension scheme with company matching up to 8% of pensionable salary (85% of salary). Long term disability insurance Death in service benefits Access to an employee discount platform. Enhanced Maternity and Paternity Leave Access to comprehensive EAP and Mental health first aiders Enhanced company sick pay after 6 months service Learning and Development Opportunities.
About the Company Our client is an independent British business dedicated to producing high-quality yogurts, desserts, and ice cream for both their own brand and major UK retailers. Operating from multiple dairies and logistics centers across Somerset and Devon, they employ over 1,700 staff and contribute to more than 25% of the UK s packaged yogurt market. The Role We are recruiting for a Skilled Engineer to join our client s largest production facility. In this role, you will ensure that all site equipment operates efficiently and effectively. You will take a lead role in managing situations that could impact business operations, safety, environmental standards, or asset performance. You will be responsible for maintaining high standards of food safety and quality by implementing suitable controls and Good Manufacturing Practice (GMP) during maintenance activities. You will also use your problem-solving skills to detect and eliminate faults, inefficiencies, and abnormalities in machine operations. Additionally, you will play a key role in developing and enhancing equipment performance and reliability while sharing your expertise with colleagues. Key Responsibilities: Deliver high standards of asset care through best practices and technical expertise. Drive continuous improvement initiatives to enhance operational performance. Manage site assets using the CMMS system, ensuring effective planning of maintenance activities. Promote and enforce safe working practices for staff, contractors, and visitors. Requirements: Experience working as a Maintenance Engineer. An appropriate engineering qualification. Understanding of Health & Safety regulations. Previous experience in food manufacturing or FMCG production is desirable but not essential. Preferably multi-skilled in mechanical and electrical disciplines. PLC experience would be an advantage. Package & Benefits: Salary: £47,187 (potential to increase to over £53,800 for multi-skilled engineers). Bonus: £250 annual discretionary bonus. Holidays: 22 days holiday + competitive holiday allowance. Pension: 7% pension plan (non-contributory). Additional Benefits: Life cover. Healthcare cash-back plan. Cycle-to-work scheme. Subsidised products and services. Preferential rates with company partners. Opportunity to become a company shareholder. Learning and development opportunities to support career growth. Shifts: Four on, four off (2 days, 2 nights, 4 off). 12-hour shifts. This is an exciting opportunity to join a well-established company with excellent benefits and career progression. If you are interested in this role, apply today!
Apr 25, 2026
Full time
About the Company Our client is an independent British business dedicated to producing high-quality yogurts, desserts, and ice cream for both their own brand and major UK retailers. Operating from multiple dairies and logistics centers across Somerset and Devon, they employ over 1,700 staff and contribute to more than 25% of the UK s packaged yogurt market. The Role We are recruiting for a Skilled Engineer to join our client s largest production facility. In this role, you will ensure that all site equipment operates efficiently and effectively. You will take a lead role in managing situations that could impact business operations, safety, environmental standards, or asset performance. You will be responsible for maintaining high standards of food safety and quality by implementing suitable controls and Good Manufacturing Practice (GMP) during maintenance activities. You will also use your problem-solving skills to detect and eliminate faults, inefficiencies, and abnormalities in machine operations. Additionally, you will play a key role in developing and enhancing equipment performance and reliability while sharing your expertise with colleagues. Key Responsibilities: Deliver high standards of asset care through best practices and technical expertise. Drive continuous improvement initiatives to enhance operational performance. Manage site assets using the CMMS system, ensuring effective planning of maintenance activities. Promote and enforce safe working practices for staff, contractors, and visitors. Requirements: Experience working as a Maintenance Engineer. An appropriate engineering qualification. Understanding of Health & Safety regulations. Previous experience in food manufacturing or FMCG production is desirable but not essential. Preferably multi-skilled in mechanical and electrical disciplines. PLC experience would be an advantage. Package & Benefits: Salary: £47,187 (potential to increase to over £53,800 for multi-skilled engineers). Bonus: £250 annual discretionary bonus. Holidays: 22 days holiday + competitive holiday allowance. Pension: 7% pension plan (non-contributory). Additional Benefits: Life cover. Healthcare cash-back plan. Cycle-to-work scheme. Subsidised products and services. Preferential rates with company partners. Opportunity to become a company shareholder. Learning and development opportunities to support career growth. Shifts: Four on, four off (2 days, 2 nights, 4 off). 12-hour shifts. This is an exciting opportunity to join a well-established company with excellent benefits and career progression. If you are interested in this role, apply today!
Key Responsibilities Define and lead a comprehensive AI strategy for Janus Henderson, continuously refining it based on emerging technologies and business needs. Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model development life cycle from proof of concept to deployment. Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Encourage collaboration across business units, embedding AI solutions into processes and supporting integration with technology teams. Monitor industry trends, evaluate new AI techniques and fintech innovations, and lead pilot programs to assess ROI and advocate for strategic investments in data science capabilities. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or related quantitative field. 10+ years of experience in data science or analytics, with at least 5 years in a leadership or managerial capacity, preferably in financial services or asset management. Deep expertise in machine learning and statistical modeling, hands on experience developing and deploying models (e.g., predictive models, NLP, time series forecasting) and managing model risk in a regulated environment. Solid understanding of asset management business, including investment products, portfolio management, performance analytics and regulatory compliance reporting. Demonstrated leadership and communication skills, with the ability to articulate complex analytical findings to senior executives and to influence decision making. Preferred Experience Direct experience within an asset management analytics or quantitative research team. Hands on experience establishing governance processes for AI/ML and familiarity with EU AI Act, SEC guidance on model risk and ethical AI frameworks. Proficiency with advanced analytics libraries and tools used in finance, including quantitative finance libraries, time series databases and visualization platforms such as Tableau or Power BI. Published work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree based models, neural networks, MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption and secure data enclaves. Soft Skills & Leadership Competencies Strategic vision for AI and analytics, communicating the vision to senior leaders. High ethical standards, advocating responsible AI and refusing use cases that pose undue risk. Exceptional storytelling ability, translating complex insights into plain language for non technical audiences. Collaborative influence across IT, investment, compliance and client teams. Mentorship, fostering continuous learning and recruiting top talent. Problem solving resilience, systematically addressing data quality, model performance and resource constraints. What to Expect When You Join Hybrid working with reasonable accommodations. Generous holiday policies and paid volunteer time. Professional development support, tuition reimbursement and continuing education. All inclusive diversity, equity and inclusion culture. Maternal/paternal leave benefits and family services. Access to Headspace, ClassPass and other well being benefits. Unique employee events, including health challenges and evening socials. Supervisory Responsibilities Yes Potential for Growth Mentoring programs Leadership development Regular training sessions Career development services Continuing education courses Regulatory & Ethical Expectations You will be expected to understand the regulatory obligations of the firm and abide by JHI policies applicable to your role, including adherence to the Investment Advisory Code of Ethics. Annual Bonus Opportunity Position may be eligible for an annual discretionary bonus award from the profit pool, with individual awards based on company, department, team and personal performance. Benefits Summary Comprehensive total rewards package including competitive compensation, pension/retirement plans, health and well being benefits, and flexible work arrangements. Equal Opportunity Statement Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.
Apr 25, 2026
Full time
Key Responsibilities Define and lead a comprehensive AI strategy for Janus Henderson, continuously refining it based on emerging technologies and business needs. Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model development life cycle from proof of concept to deployment. Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Encourage collaboration across business units, embedding AI solutions into processes and supporting integration with technology teams. Monitor industry trends, evaluate new AI techniques and fintech innovations, and lead pilot programs to assess ROI and advocate for strategic investments in data science capabilities. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or related quantitative field. 10+ years of experience in data science or analytics, with at least 5 years in a leadership or managerial capacity, preferably in financial services or asset management. Deep expertise in machine learning and statistical modeling, hands on experience developing and deploying models (e.g., predictive models, NLP, time series forecasting) and managing model risk in a regulated environment. Solid understanding of asset management business, including investment products, portfolio management, performance analytics and regulatory compliance reporting. Demonstrated leadership and communication skills, with the ability to articulate complex analytical findings to senior executives and to influence decision making. Preferred Experience Direct experience within an asset management analytics or quantitative research team. Hands on experience establishing governance processes for AI/ML and familiarity with EU AI Act, SEC guidance on model risk and ethical AI frameworks. Proficiency with advanced analytics libraries and tools used in finance, including quantitative finance libraries, time series databases and visualization platforms such as Tableau or Power BI. Published work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree based models, neural networks, MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption and secure data enclaves. Soft Skills & Leadership Competencies Strategic vision for AI and analytics, communicating the vision to senior leaders. High ethical standards, advocating responsible AI and refusing use cases that pose undue risk. Exceptional storytelling ability, translating complex insights into plain language for non technical audiences. Collaborative influence across IT, investment, compliance and client teams. Mentorship, fostering continuous learning and recruiting top talent. Problem solving resilience, systematically addressing data quality, model performance and resource constraints. What to Expect When You Join Hybrid working with reasonable accommodations. Generous holiday policies and paid volunteer time. Professional development support, tuition reimbursement and continuing education. All inclusive diversity, equity and inclusion culture. Maternal/paternal leave benefits and family services. Access to Headspace, ClassPass and other well being benefits. Unique employee events, including health challenges and evening socials. Supervisory Responsibilities Yes Potential for Growth Mentoring programs Leadership development Regular training sessions Career development services Continuing education courses Regulatory & Ethical Expectations You will be expected to understand the regulatory obligations of the firm and abide by JHI policies applicable to your role, including adherence to the Investment Advisory Code of Ethics. Annual Bonus Opportunity Position may be eligible for an annual discretionary bonus award from the profit pool, with individual awards based on company, department, team and personal performance. Benefits Summary Comprehensive total rewards package including competitive compensation, pension/retirement plans, health and well being benefits, and flexible work arrangements. Equal Opportunity Statement Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.
White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Apr 24, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Breedon Group plc
Wotton-under-edge, Gloucestershire
About Breedon Group: Breedon Group plc is a leading vertically integrated construction materials group in Great Britain, Ireland, and the USA. We're dedicated to providing high-quality materials and services for the construction industry, with a commitment to safety, sustainability, and innovation. Joining Breedon means becoming part of a team that values excellence and is committed to making a positive impact. Position Overview: We are seeking an enthusiastic Mechanical Maintenance Engineer to join our team in the South West Area, mainly at our Wickwar Quarry. You'll be responsible for maintaining, repairing and improving mechanical systems, machinery and production equipment to ensure maximum reliability and efficiency. You will conduct routine maintenance, diagnosing mechanical faults, and implementing preventative and corrective maintenance programs to minimise downtime and optimise performance. Key Responsibilities Perform routine maintenance, inspections, and repairs on mechanical equipment, machinery, and systems Diagnose and troubleshoot mechanical defects Replace or repair worn or defective components such as bearings, shafts, pumps, and valves Carry out emergency breakdown repairs promptly to minimise production loss Develop and implement preventive maintenance schedules to reduce unplanned downtime Monitor equipment performance and use predictive maintenance techniques Keep accurate records of maintenance activities, repairs, and equipment history Assist in the installation, testing, and commissioning of new machinery and equipment Ensure mechanical systems are installed according to manufacturer specifications and safety regulations Support mechanical maintenance projects and continuous improvement initiatives Work closely with production and electricians to ensure smooth plant operations Follow all company health, safety, and environmental policies and ensure compliance with legal and industry standards Conduct risk assessments and implement safe working practices Report hazards, near misses, and incidents promptly Provide technical support and training to operators and junior maintenance colleagues Communicate effectively with supervisors and management regarding equipment Skills, Knowledge and Expertise ONC / HNC / NVQ Level 3 or equivalent qualification in Mechanical Engineering or a related field Proven experience in mechanical maintenance within the construction industry Strong knowledge of mechanical systems, hydraulics, pneumatics, and rotating machinery Full UK driving licence NVQ Level 3 or 4 in Health and Safety and/or NEBOSH qualification is advantageous Excellent mechanical and diagnostic skills Strong problem-solving and decision-making ability Good communication and teamwork skills Attention to detail and commitment to quality and safety Benefits A tailored, competitive salary Company Pension Scheme 25 days annual leave, plus bank holidays on top Share Saver Scheme participation Company Life Assurance Scheme Access to our Employee Assistance Programme for health and wellbeing support Discounts on a wide range of products through our employee benefits platform Broad learning opportunities and career progression pathways. Diversity Statement: At Breedon Group, we are committed to fostering an inclusive workplace where diversity is valued. We believe in equality of opportunity for all and encourage applications from a diverse range of candidates. Join Us: If you're looking for a role that challenges you, offers progression, and contributes to building better futures, we'd love to hear from you. This position is an opportunity to grow your career within a supportive and dynamic environment at Breedon Group. Application Process: Ready to make a meaningful difference? Apply now by submitting your CV and cover letter. We look forward to considering your application and potentially welcoming you to our team.
Apr 24, 2026
Full time
About Breedon Group: Breedon Group plc is a leading vertically integrated construction materials group in Great Britain, Ireland, and the USA. We're dedicated to providing high-quality materials and services for the construction industry, with a commitment to safety, sustainability, and innovation. Joining Breedon means becoming part of a team that values excellence and is committed to making a positive impact. Position Overview: We are seeking an enthusiastic Mechanical Maintenance Engineer to join our team in the South West Area, mainly at our Wickwar Quarry. You'll be responsible for maintaining, repairing and improving mechanical systems, machinery and production equipment to ensure maximum reliability and efficiency. You will conduct routine maintenance, diagnosing mechanical faults, and implementing preventative and corrective maintenance programs to minimise downtime and optimise performance. Key Responsibilities Perform routine maintenance, inspections, and repairs on mechanical equipment, machinery, and systems Diagnose and troubleshoot mechanical defects Replace or repair worn or defective components such as bearings, shafts, pumps, and valves Carry out emergency breakdown repairs promptly to minimise production loss Develop and implement preventive maintenance schedules to reduce unplanned downtime Monitor equipment performance and use predictive maintenance techniques Keep accurate records of maintenance activities, repairs, and equipment history Assist in the installation, testing, and commissioning of new machinery and equipment Ensure mechanical systems are installed according to manufacturer specifications and safety regulations Support mechanical maintenance projects and continuous improvement initiatives Work closely with production and electricians to ensure smooth plant operations Follow all company health, safety, and environmental policies and ensure compliance with legal and industry standards Conduct risk assessments and implement safe working practices Report hazards, near misses, and incidents promptly Provide technical support and training to operators and junior maintenance colleagues Communicate effectively with supervisors and management regarding equipment Skills, Knowledge and Expertise ONC / HNC / NVQ Level 3 or equivalent qualification in Mechanical Engineering or a related field Proven experience in mechanical maintenance within the construction industry Strong knowledge of mechanical systems, hydraulics, pneumatics, and rotating machinery Full UK driving licence NVQ Level 3 or 4 in Health and Safety and/or NEBOSH qualification is advantageous Excellent mechanical and diagnostic skills Strong problem-solving and decision-making ability Good communication and teamwork skills Attention to detail and commitment to quality and safety Benefits A tailored, competitive salary Company Pension Scheme 25 days annual leave, plus bank holidays on top Share Saver Scheme participation Company Life Assurance Scheme Access to our Employee Assistance Programme for health and wellbeing support Discounts on a wide range of products through our employee benefits platform Broad learning opportunities and career progression pathways. Diversity Statement: At Breedon Group, we are committed to fostering an inclusive workplace where diversity is valued. We believe in equality of opportunity for all and encourage applications from a diverse range of candidates. Join Us: If you're looking for a role that challenges you, offers progression, and contributes to building better futures, we'd love to hear from you. This position is an opportunity to grow your career within a supportive and dynamic environment at Breedon Group. Application Process: Ready to make a meaningful difference? Apply now by submitting your CV and cover letter. We look forward to considering your application and potentially welcoming you to our team.
Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.
Apr 24, 2026
Full time
Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.
Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm's credit and funding valuation adjustments (CVA and FVA), which are critical to the bank's risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research - Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoted business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities. Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure. Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment. Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs. Drive best practices in quantitative research, software development, and analytical rigor across the team. Required qualifications, capabilities, and skills Solid experience within a quantitative role in finance Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices. Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams. Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices
Apr 24, 2026
Full time
Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm's credit and funding valuation adjustments (CVA and FVA), which are critical to the bank's risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research - Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoted business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities. Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure. Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment. Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs. Drive best practices in quantitative research, software development, and analytical rigor across the team. Required qualifications, capabilities, and skills Solid experience within a quantitative role in finance Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices. Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams. Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices
Job Title: Solutions Architect (AI and Automation) Location: Remote (occasional travel to London required) Salary: £75,000 - £85,000 (Depending on location) Would you like to work for an organisation plays a pivotal role in safeguarding and improving the quality of health and social care services across England. My client plays a vital role in improving outcomes across health and social care by using data, technology, and insight to drive meaningful change. With a strong focus on innovation and digital transformation, they are investing in modern cloud platforms, artificial intelligence, and advanced analytics to become a truly intelligence-led regulator. Solutions Architect Responsibilities Design scalable, secure, and ethical AI and data solutions using Microsoft Azure technologies. Translate business requirements into end-to-end solution architecture across AI, machine learning, and data platforms. Maintain architectural blueprints ensuring interoperability, resilience, governance, and regulatory compliance. Lead architecture design reviews and provide technical leadership to delivery teams using Agile, DevOps, and CI/CD practices. Mentor technical teams and promote responsible AI practices, including transparency, fairness, and security. Solutions Architect Requirements Extensive experience delivering solutions on the Microsoft Azure Data Platform (Synapse Analytics, Data Lake, Databricks, Azure ML, Power BI). Expertise in modern data engineering approaches such as ETL/ELT pipelines, streaming, APIs, and event-driven architecture. Experience with cloud-native architectures, microservices, and SaaS integrations. Knowledge of data governance, information security, and AI ethics within regulated industries. Excellent stakeholder engagement and leadership skills. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Apr 24, 2026
Full time
Job Title: Solutions Architect (AI and Automation) Location: Remote (occasional travel to London required) Salary: £75,000 - £85,000 (Depending on location) Would you like to work for an organisation plays a pivotal role in safeguarding and improving the quality of health and social care services across England. My client plays a vital role in improving outcomes across health and social care by using data, technology, and insight to drive meaningful change. With a strong focus on innovation and digital transformation, they are investing in modern cloud platforms, artificial intelligence, and advanced analytics to become a truly intelligence-led regulator. Solutions Architect Responsibilities Design scalable, secure, and ethical AI and data solutions using Microsoft Azure technologies. Translate business requirements into end-to-end solution architecture across AI, machine learning, and data platforms. Maintain architectural blueprints ensuring interoperability, resilience, governance, and regulatory compliance. Lead architecture design reviews and provide technical leadership to delivery teams using Agile, DevOps, and CI/CD practices. Mentor technical teams and promote responsible AI practices, including transparency, fairness, and security. Solutions Architect Requirements Extensive experience delivering solutions on the Microsoft Azure Data Platform (Synapse Analytics, Data Lake, Databricks, Azure ML, Power BI). Expertise in modern data engineering approaches such as ETL/ELT pipelines, streaming, APIs, and event-driven architecture. Experience with cloud-native architectures, microservices, and SaaS integrations. Knowledge of data governance, information security, and AI ethics within regulated industries. Excellent stakeholder engagement and leadership skills. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
We are looking for a Senior Back-End Developer to join our growing team at Aisthesis Medical. This is a unique opportunity to play a key role in shaping the backend systems of a fast-moving MedTech startup working at the intersection of AI and clinical decision support. You will lead the development of scalable, secure, and high-performance backend infrastructure that supports real-time healthcare data processing and predictive analytics. Responsibilities Architect and implement robust, scalable, and secure backend services and APIs; Ensure system performance, reliability, and fault-tolerance; Integrate external APIs and ensure interoperability with Electronic Health Record (EHR) systems; Contribute to deployment and monitoring of production systems using modern DevOps practices; Design, implement, and deploy software components in a microservice architecture that perform biomedical information processing; Work closely with product, UX, and clinical teams, analyze customer requirements, and rapidly implement prototypes introducing new functionality; Maintain a high standard of code quality through testing, documentation, and peer reviews; Collaborate in an agile environment, striking the right balance between rapid iteration with long-term maintainability and well-tested code. Minimum Qualifications We are looking for professionals with the following skills and experience: BSc/MSc in Computer Science, Electrical and Computer Engineering or similar; Strong proficiency in Python with production-grade back-end frameworks such as Django or FastAPI; Solid understanding of RESTful API design and microservices architecture; Experience on production and DevOps fundamentals Experience with Docker, CI/CD pipelines; Experience on Infrastructure as Code (IaC) using CloudFormation (or Terraform); Experience running production workloads on AWS (or Azure, GCP); Familiarity with PostgreSQL or other relational databases; Ability to understand business and product requirements and translate them into technical requirements; Strong ownership mindset and ability to work in a fast-paced startup environment; Comfortable working in a hybrid setup with in-person collaboration when needed; Fluent in English with excellent communication, collaboration, and problem-solving skills. Nice-to-Haves If you have the following, it's a strong plus: Experience working with healthcare data (FHIR, HL7) or clinical systems; Experience working under European Medical Device Regulations (ISO13485, IEC62304, ISO14971, etc.) Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ); Understanding of data privacy, security, and compliance standards (GDPR, HIPAA); Exposure to machine learning pipelines or MLOps; Familiarity with UI/UX best practices; Passion for writing clean, maintainable, and scalable code; Mentality of commit early and often, metrics before models, and shipping high quality production code; A love of learning and enjoyment of trying new things; Startup experience or interest in working in a high-growth environment. Team Culture We treat each other with respect, humility, and openness; We value curiosity, experimentation, and fast learning; We embrace flexibility and focus on solving real-world problems that matter; We believe in diversity-of background, perspective, and skill set; We value open dialogue and brainstorming across multidisciplinary teams; We prioritize deep work, async collaboration, and only meet when it matters; Work from anywhere in the world (within 3h of GMT), as long as the WiFi's solid. What We Offer Competitive salary tailored to your experience and skills; Remote-first work scheme with in-person collaboration when needed; A mission-driven, close-knit team working on meaningful problems; Opportunities for personal growth through conferences, events, and mentorship.
Apr 24, 2026
Full time
We are looking for a Senior Back-End Developer to join our growing team at Aisthesis Medical. This is a unique opportunity to play a key role in shaping the backend systems of a fast-moving MedTech startup working at the intersection of AI and clinical decision support. You will lead the development of scalable, secure, and high-performance backend infrastructure that supports real-time healthcare data processing and predictive analytics. Responsibilities Architect and implement robust, scalable, and secure backend services and APIs; Ensure system performance, reliability, and fault-tolerance; Integrate external APIs and ensure interoperability with Electronic Health Record (EHR) systems; Contribute to deployment and monitoring of production systems using modern DevOps practices; Design, implement, and deploy software components in a microservice architecture that perform biomedical information processing; Work closely with product, UX, and clinical teams, analyze customer requirements, and rapidly implement prototypes introducing new functionality; Maintain a high standard of code quality through testing, documentation, and peer reviews; Collaborate in an agile environment, striking the right balance between rapid iteration with long-term maintainability and well-tested code. Minimum Qualifications We are looking for professionals with the following skills and experience: BSc/MSc in Computer Science, Electrical and Computer Engineering or similar; Strong proficiency in Python with production-grade back-end frameworks such as Django or FastAPI; Solid understanding of RESTful API design and microservices architecture; Experience on production and DevOps fundamentals Experience with Docker, CI/CD pipelines; Experience on Infrastructure as Code (IaC) using CloudFormation (or Terraform); Experience running production workloads on AWS (or Azure, GCP); Familiarity with PostgreSQL or other relational databases; Ability to understand business and product requirements and translate them into technical requirements; Strong ownership mindset and ability to work in a fast-paced startup environment; Comfortable working in a hybrid setup with in-person collaboration when needed; Fluent in English with excellent communication, collaboration, and problem-solving skills. Nice-to-Haves If you have the following, it's a strong plus: Experience working with healthcare data (FHIR, HL7) or clinical systems; Experience working under European Medical Device Regulations (ISO13485, IEC62304, ISO14971, etc.) Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ); Understanding of data privacy, security, and compliance standards (GDPR, HIPAA); Exposure to machine learning pipelines or MLOps; Familiarity with UI/UX best practices; Passion for writing clean, maintainable, and scalable code; Mentality of commit early and often, metrics before models, and shipping high quality production code; A love of learning and enjoyment of trying new things; Startup experience or interest in working in a high-growth environment. Team Culture We treat each other with respect, humility, and openness; We value curiosity, experimentation, and fast learning; We embrace flexibility and focus on solving real-world problems that matter; We believe in diversity-of background, perspective, and skill set; We value open dialogue and brainstorming across multidisciplinary teams; We prioritize deep work, async collaboration, and only meet when it matters; Work from anywhere in the world (within 3h of GMT), as long as the WiFi's solid. What We Offer Competitive salary tailored to your experience and skills; Remote-first work scheme with in-person collaboration when needed; A mission-driven, close-knit team working on meaningful problems; Opportunities for personal growth through conferences, events, and mentorship.
Job Description About the Role As a Workshop Electrician within NOV Rig Technologies, Aftermarket Operations, you will be responsible for the repair, overhaul, inspection, and fault diagnosis of NOV rig equipment. You will work closely with the planning team, customers, and internal stakeholders to ensure equipment is returned to service in a safe, reliable, and fully operational condition. A key part of this role is responding to "rig down" situations as a top priority, supporting products across Rig Floor Equipment (RFE), Legacy National Equipment (NOI), and Pressure Control Equipment (PCE). Success in this position relies on strong capability in interpreting engineering drawings/schematics, fault finding on AC and DC power systems, and working with Variable Frequency Drives (VFDs). About the Company NOV is a global provider of technology, equipment, and services to the energy industry. Within NOV, Rig Technologies supports critical equipment used across drilling and rig operations-where safety, reliability, and fast turnaround matter. What We Offer Full product training delivered by NOV training personnel, plus on-the-job mentoring alongside experienced Workshop Electricians Participation in the NOV Global Competency Program to support your development and progression A role with high variety across multiple product lines (RFE, NOI, PCE) and challenging troubleshooting work A strong HSE-focused culture, with clear expectations on safe work and quality standards Support from Workshop Supervisors and leadership for career progression and continued self-development Ad-hoc travel opportunities when required by business/customer needs Key Responsibilities Repair, overhaul, inspect, and identify faults on NOV rig equipment (RFE, NOI, PCE) Prioritise and respond to "rig down" and urgent operational situations when required Carry out electrical fault finding on AC & DC power systems and VFDs; provide clear recommendations for corrective actions Read and interpret engineering drawings/schematics to diagnose issues and implement repairs (including redlining where required) Complete and maintain documentation, including inspection reports, parts lists, and related records Collaborate with key stakeholders including customers, colleagues, and other NOV entities to coordinate repair outcomes Escalate key faults or product failures to the appropriate departments and support resolution through to closure Promote and support HSE plans, internal policy, and proactive incident prevention Inspect equipment for conformance with operational and quality standards Support continuous improvement by liaising with other operational teams and contributing to better systems/processes Qualifications & Skills Essential: Time-served electrician CompEx registered HNC in a relevant electrical qualification (or equivalent) Working knowledge of overhaul, fault finding, and repair of heavy machinery or within an automation field Working knowledge of AC & DC power systems and Variable Frequency Drives (VFDs) Familiarity with hydraulics/pneumatics in industrial environments (e.g., FMCG manufacturing, paper industry, heavy engineering) Experience in a similar role onshore and/or offshore Strong ability to interpret engineering documentation (e.g., schematics, P&IDs, ISO drawings, calculation reports) and extract practical information Desirable: Experience with rig equipment repairs (RFE, PCE, or comparable heavy-duty equipment) Confidence working in fast-response environments where downtime is critical Familiarity with structured competency programs or formal technical development pathways Soft Skills Open-minded approach, with a genuine willingness to listen, learn, and develop Strong teamwork mindset and collaboration style Calm, practical problem-solving - especially when work becomes urgent Clear communicator with strong discipline around documentation and updates High personal standards for safety and quality Why Join Us? You'll join a global organisation where safety, technology, and operational excellence are central-and where developing the business goes hand-in-hand with developing people. NOV offers an environment with strong technical challenges, structured learning, and opportunities to grow your skills across a broad portfolio of equipment and customers. Join our Global Family At NOV, we are committed to supporting your personal, financial, and professional wellbeing. Our comprehensive benefits package includes: Health & Wellbeing Private Medical Insurance Employee Assistance Programme (EAP) Finance & Protection Pension Plan Income Protection Life Assurance Personal Accident Coverage Flexible Benefits (via salary sacrifice options for you and your family) Dental Insurance Healthcare Cash Plan Partner Life Assurance Critical Illness Cover Retail Vouchers Gym Membership Cycle to Work Scheme About Us Every day, the oil and gas industry's best minds put more than 150 years of experience to work to help our customers achieve lasting success. We Power the Industry that Powers the World Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment, and operational support necessary for success-now and in the future. Global Family We are a global family of thousands of individuals, working as one team to create a lasting impact for ourselves, our customers, and the communities where we live and work. Purposeful Innovation Through purposeful business innovation, product creation, and service delivery, we are driven to power the industry that powers the world better. Service Above All This drives us to anticipate our customers' needs and work with them to deliver the finest products and services on time and on budget. About the Team Corporate Our family of companies is supported by our global Corporate teams, providing expert knowledge from functions including Human Resources, Information Technology, Compliance, Finance, QHSE, Marketing and Legal centers of expertise. We are structured to provide guidance and service above all to all our business operations.
Apr 24, 2026
Full time
Job Description About the Role As a Workshop Electrician within NOV Rig Technologies, Aftermarket Operations, you will be responsible for the repair, overhaul, inspection, and fault diagnosis of NOV rig equipment. You will work closely with the planning team, customers, and internal stakeholders to ensure equipment is returned to service in a safe, reliable, and fully operational condition. A key part of this role is responding to "rig down" situations as a top priority, supporting products across Rig Floor Equipment (RFE), Legacy National Equipment (NOI), and Pressure Control Equipment (PCE). Success in this position relies on strong capability in interpreting engineering drawings/schematics, fault finding on AC and DC power systems, and working with Variable Frequency Drives (VFDs). About the Company NOV is a global provider of technology, equipment, and services to the energy industry. Within NOV, Rig Technologies supports critical equipment used across drilling and rig operations-where safety, reliability, and fast turnaround matter. What We Offer Full product training delivered by NOV training personnel, plus on-the-job mentoring alongside experienced Workshop Electricians Participation in the NOV Global Competency Program to support your development and progression A role with high variety across multiple product lines (RFE, NOI, PCE) and challenging troubleshooting work A strong HSE-focused culture, with clear expectations on safe work and quality standards Support from Workshop Supervisors and leadership for career progression and continued self-development Ad-hoc travel opportunities when required by business/customer needs Key Responsibilities Repair, overhaul, inspect, and identify faults on NOV rig equipment (RFE, NOI, PCE) Prioritise and respond to "rig down" and urgent operational situations when required Carry out electrical fault finding on AC & DC power systems and VFDs; provide clear recommendations for corrective actions Read and interpret engineering drawings/schematics to diagnose issues and implement repairs (including redlining where required) Complete and maintain documentation, including inspection reports, parts lists, and related records Collaborate with key stakeholders including customers, colleagues, and other NOV entities to coordinate repair outcomes Escalate key faults or product failures to the appropriate departments and support resolution through to closure Promote and support HSE plans, internal policy, and proactive incident prevention Inspect equipment for conformance with operational and quality standards Support continuous improvement by liaising with other operational teams and contributing to better systems/processes Qualifications & Skills Essential: Time-served electrician CompEx registered HNC in a relevant electrical qualification (or equivalent) Working knowledge of overhaul, fault finding, and repair of heavy machinery or within an automation field Working knowledge of AC & DC power systems and Variable Frequency Drives (VFDs) Familiarity with hydraulics/pneumatics in industrial environments (e.g., FMCG manufacturing, paper industry, heavy engineering) Experience in a similar role onshore and/or offshore Strong ability to interpret engineering documentation (e.g., schematics, P&IDs, ISO drawings, calculation reports) and extract practical information Desirable: Experience with rig equipment repairs (RFE, PCE, or comparable heavy-duty equipment) Confidence working in fast-response environments where downtime is critical Familiarity with structured competency programs or formal technical development pathways Soft Skills Open-minded approach, with a genuine willingness to listen, learn, and develop Strong teamwork mindset and collaboration style Calm, practical problem-solving - especially when work becomes urgent Clear communicator with strong discipline around documentation and updates High personal standards for safety and quality Why Join Us? You'll join a global organisation where safety, technology, and operational excellence are central-and where developing the business goes hand-in-hand with developing people. NOV offers an environment with strong technical challenges, structured learning, and opportunities to grow your skills across a broad portfolio of equipment and customers. Join our Global Family At NOV, we are committed to supporting your personal, financial, and professional wellbeing. Our comprehensive benefits package includes: Health & Wellbeing Private Medical Insurance Employee Assistance Programme (EAP) Finance & Protection Pension Plan Income Protection Life Assurance Personal Accident Coverage Flexible Benefits (via salary sacrifice options for you and your family) Dental Insurance Healthcare Cash Plan Partner Life Assurance Critical Illness Cover Retail Vouchers Gym Membership Cycle to Work Scheme About Us Every day, the oil and gas industry's best minds put more than 150 years of experience to work to help our customers achieve lasting success. We Power the Industry that Powers the World Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment, and operational support necessary for success-now and in the future. Global Family We are a global family of thousands of individuals, working as one team to create a lasting impact for ourselves, our customers, and the communities where we live and work. Purposeful Innovation Through purposeful business innovation, product creation, and service delivery, we are driven to power the industry that powers the world better. Service Above All This drives us to anticipate our customers' needs and work with them to deliver the finest products and services on time and on budget. About the Team Corporate Our family of companies is supported by our global Corporate teams, providing expert knowledge from functions including Human Resources, Information Technology, Compliance, Finance, QHSE, Marketing and Legal centers of expertise. We are structured to provide guidance and service above all to all our business operations.
A leading electronic design firm is looking for a Lead Digital Verification Engineer in Edinburgh. This role is key in defining and supporting the adoption of advanced verification tools, particularly AI and machine learning methodologies. Candidates should have a degree in Electrical Engineering and over 4 years of industry experience, with strong skills in System Verilog and constrained-random verification techniques. The position offers a competitive salary and benefits, including 25 days holiday, private medical plans, and a pension scheme.
Apr 24, 2026
Full time
A leading electronic design firm is looking for a Lead Digital Verification Engineer in Edinburgh. This role is key in defining and supporting the adoption of advanced verification tools, particularly AI and machine learning methodologies. Candidates should have a degree in Electrical Engineering and over 4 years of industry experience, with strong skills in System Verilog and constrained-random verification techniques. The position offers a competitive salary and benefits, including 25 days holiday, private medical plans, and a pension scheme.
Location: Hybrid, three days per week in our London office Email: Hours: Full Time Contract: Permanent Closing Date: 10 July 2026 In a Nutshell Denaee is developing a global fintech super app and deep tech solutions ecosystem that integrates digital banking, payments, virtual trading, AI driven systems, intelligent automation, advanced analytics, digital twin technologies, and connected software and hardware infrastructure. Data intelligence is central to our innovation strategy. We are seeking a highly capable Data Scientist to help transform complex data into actionable insights that strengthen our fintech platforms and intelligent technology systems. Your Role As a Data Scientist at Denaee, you will leverage advanced analytics, machine learning, and statistical modelling to enhance decision making across our fintech and deep tech services. You will analyse large scale financial, behavioural, and operational datasets to identify patterns, risks, and growth opportunities. Responsibilities include building predictive models, developing machine learning algorithms, designing experimentation frameworks, and delivering data visualisations that support executive and product strategy. You will collaborate with engineering, AI, product, and compliance teams to integrate scalable, secure, and high performance data solutions into our digital banking platforms and intelligent systems. Requirements Candidates should hold a degree in data science, statistics, computer science, or a related quantitative field, with advanced qualifications highly regarded. Proven experience in data analytics and machine learning within fintech, financial services, or advanced technology environments is essential. Strong proficiency in Python, R, SQL, and relevant machine learning libraries is required. You should demonstrate expertise in statistical analysis, predictive modelling, data governance, and visualisation techniques. Clear communication skills and the ability to translate complex analytical findings into strategic recommendations are critical. Why Denaee Joining Denaee means contributing to a forward looking organisation redefining finance through intelligent data driven fintech platforms and deep tech ecosystems. You will work alongside engineers, AI specialists, strategists, and product leaders committed to innovation and scalability. We offer a flexible hybrid working model, exposure to advanced digital infrastructure, and the opportunity to make a measurable impact on high growth financial and technology platforms. Be Yourself At Denaee, we value diversity, equal opportunity, and inclusive collaboration. We welcome applications from individuals of all backgrounds and foster an environment where diverse perspectives drive innovation. If you require any support during the recruitment process, please contact and we will ensure your experience is accessible and fully supported.
Apr 24, 2026
Full time
Location: Hybrid, three days per week in our London office Email: Hours: Full Time Contract: Permanent Closing Date: 10 July 2026 In a Nutshell Denaee is developing a global fintech super app and deep tech solutions ecosystem that integrates digital banking, payments, virtual trading, AI driven systems, intelligent automation, advanced analytics, digital twin technologies, and connected software and hardware infrastructure. Data intelligence is central to our innovation strategy. We are seeking a highly capable Data Scientist to help transform complex data into actionable insights that strengthen our fintech platforms and intelligent technology systems. Your Role As a Data Scientist at Denaee, you will leverage advanced analytics, machine learning, and statistical modelling to enhance decision making across our fintech and deep tech services. You will analyse large scale financial, behavioural, and operational datasets to identify patterns, risks, and growth opportunities. Responsibilities include building predictive models, developing machine learning algorithms, designing experimentation frameworks, and delivering data visualisations that support executive and product strategy. You will collaborate with engineering, AI, product, and compliance teams to integrate scalable, secure, and high performance data solutions into our digital banking platforms and intelligent systems. Requirements Candidates should hold a degree in data science, statistics, computer science, or a related quantitative field, with advanced qualifications highly regarded. Proven experience in data analytics and machine learning within fintech, financial services, or advanced technology environments is essential. Strong proficiency in Python, R, SQL, and relevant machine learning libraries is required. You should demonstrate expertise in statistical analysis, predictive modelling, data governance, and visualisation techniques. Clear communication skills and the ability to translate complex analytical findings into strategic recommendations are critical. Why Denaee Joining Denaee means contributing to a forward looking organisation redefining finance through intelligent data driven fintech platforms and deep tech ecosystems. You will work alongside engineers, AI specialists, strategists, and product leaders committed to innovation and scalability. We offer a flexible hybrid working model, exposure to advanced digital infrastructure, and the opportunity to make a measurable impact on high growth financial and technology platforms. Be Yourself At Denaee, we value diversity, equal opportunity, and inclusive collaboration. We welcome applications from individuals of all backgrounds and foster an environment where diverse perspectives drive innovation. If you require any support during the recruitment process, please contact and we will ensure your experience is accessible and fully supported.
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
Apr 23, 2026
Full time
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
SAFETY ASSURANCE CONSULTANT (AUTONOMOUS SYSTEMS) Please note: Candidates must be eligible to obtain UK security clearance. Bristol + Hybrid 45,000 - 55,000 + Benefits The Opportunity Our client is a highly respected, employee-owned engineering consultancy delivering specialist safety, environmental, and technical assurance services across complex, safety-critical sectors. With a strong reputation for quality and long-term client partnerships, they are investing in the growth of their digital and autonomous systems capability. They are now seeking an Autonomous Systems Assurance Consultant to play a key role in shaping how next-generation autonomous, uncrewed, and AI-enabled systems are assured for safety, compliance, and operational dependability. This is a chance to work at the cutting edge of autonomy-contributing to nationally significant programmes while influencing the future direction of a growing capability area. The Role You will take a leading role in the delivery and development of safety assurance activities for advanced autonomous systems programmes. Alongside technical delivery, you'll contribute to capability growth, client engagement, and strategic direction within this evolving domain. Key responsibilities include: Leading safety assurance activities across autonomous and AI-enabled systems in line with recognised standards and emerging best practice (e.g. AMLAS and AI assurance frameworks) Conducting system safety analyses such as hazard identification, Functional Hazard Assessment (FHA), and Systems Theoretic Process Analysis (STPA) Assessing risks associated with machine learning, sensor fusion, and automated decision-making systems Developing robust safety cases using structured methodologies (e.g. GSN) Supporting or leading bid and proposal activities with a focus on technical excellence Building and maintaining strong client relationships to support long-term programme delivery Representing the organisation at industry events, including technical presentations and thought leadership Travel within the UK (and occasionally internationally) may be required. What They're Looking For Degree qualified (BSc/MSc/PhD) in Safety Engineering, Systems Engineering, or a related discipline Experience applying safety engineering principles within safety-critical environments Exposure to autonomous systems, AI, or machine learning assurance (desirable) Familiarity with relevant industry standards and emerging regulatory frameworks Strong communication skills and the ability to work across multidisciplinary teams Comfortable operating in a collaborative, agile environment where initiative is valued Why apply for this role? You'll be joining an organisation where employees have a genuine stake in the business and its direction. The culture emphasises collaboration, accountability, and sustainable growth-creating an environment where your own contribution has real impact. Package highlights include: Competitive salary and performance-related bonus Flexible and hybrid working arrangements Professional development support, including funded memberships Structured training in both technical and consultancy skills Generous holiday allowance with options to buy/sell leave Pension scheme, life insurance, and optional private medical cover Additional benefits including cycle-to-work and referral incentives Location Flexible-multiple UK office locations (Bristol, Liverpool, Plymouth, Portsmouth, Cardiff) with hybrid working available. If you're interested in working at the forefront of autonomous systems assurance and want to play a meaningful role in shaping this rapidly evolving field, I'd be keen to speak with you. Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Apr 23, 2026
Full time
SAFETY ASSURANCE CONSULTANT (AUTONOMOUS SYSTEMS) Please note: Candidates must be eligible to obtain UK security clearance. Bristol + Hybrid 45,000 - 55,000 + Benefits The Opportunity Our client is a highly respected, employee-owned engineering consultancy delivering specialist safety, environmental, and technical assurance services across complex, safety-critical sectors. With a strong reputation for quality and long-term client partnerships, they are investing in the growth of their digital and autonomous systems capability. They are now seeking an Autonomous Systems Assurance Consultant to play a key role in shaping how next-generation autonomous, uncrewed, and AI-enabled systems are assured for safety, compliance, and operational dependability. This is a chance to work at the cutting edge of autonomy-contributing to nationally significant programmes while influencing the future direction of a growing capability area. The Role You will take a leading role in the delivery and development of safety assurance activities for advanced autonomous systems programmes. Alongside technical delivery, you'll contribute to capability growth, client engagement, and strategic direction within this evolving domain. Key responsibilities include: Leading safety assurance activities across autonomous and AI-enabled systems in line with recognised standards and emerging best practice (e.g. AMLAS and AI assurance frameworks) Conducting system safety analyses such as hazard identification, Functional Hazard Assessment (FHA), and Systems Theoretic Process Analysis (STPA) Assessing risks associated with machine learning, sensor fusion, and automated decision-making systems Developing robust safety cases using structured methodologies (e.g. GSN) Supporting or leading bid and proposal activities with a focus on technical excellence Building and maintaining strong client relationships to support long-term programme delivery Representing the organisation at industry events, including technical presentations and thought leadership Travel within the UK (and occasionally internationally) may be required. What They're Looking For Degree qualified (BSc/MSc/PhD) in Safety Engineering, Systems Engineering, or a related discipline Experience applying safety engineering principles within safety-critical environments Exposure to autonomous systems, AI, or machine learning assurance (desirable) Familiarity with relevant industry standards and emerging regulatory frameworks Strong communication skills and the ability to work across multidisciplinary teams Comfortable operating in a collaborative, agile environment where initiative is valued Why apply for this role? You'll be joining an organisation where employees have a genuine stake in the business and its direction. The culture emphasises collaboration, accountability, and sustainable growth-creating an environment where your own contribution has real impact. Package highlights include: Competitive salary and performance-related bonus Flexible and hybrid working arrangements Professional development support, including funded memberships Structured training in both technical and consultancy skills Generous holiday allowance with options to buy/sell leave Pension scheme, life insurance, and optional private medical cover Additional benefits including cycle-to-work and referral incentives Location Flexible-multiple UK office locations (Bristol, Liverpool, Plymouth, Portsmouth, Cardiff) with hybrid working available. If you're interested in working at the forefront of autonomous systems assurance and want to play a meaningful role in shaping this rapidly evolving field, I'd be keen to speak with you. Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Stevenage We are looking for a talented Software Engineer with a strong background in data science to join our team, working within a concept programme. The role is ideal for someone who thrives when working within a research environment, exploring new and different ways of working to prepare us for future needs! Salary: Circa £65,000 depending on experience Dynamic (hybrid) working: typically, 4 to 5 days per week on-site due, to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship . Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: You will play a key role, with responsibilities in areas of: Design and development of scalable software systems/solutions with integrated data science capabilities. Creating and maintain database schemas and data models Maintain and enhance existing architectural components such as Data Ingest and Data Stores. Troubleshooting and diagnosing issues within integrated (enriched) data systems. Work with complex dataset to extract insights that supports drive decisions/solutions Translate experimental ideas into production-ready solutions Monitor system performance and implement updates to maintain optimal operation. Continuously evaluate emerging technologies, engaging wider to incorporate them into our development strategies What we're looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning mindset Strong problem-solving skills and research-oriented mindset Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
Apr 23, 2026
Full time
Stevenage We are looking for a talented Software Engineer with a strong background in data science to join our team, working within a concept programme. The role is ideal for someone who thrives when working within a research environment, exploring new and different ways of working to prepare us for future needs! Salary: Circa £65,000 depending on experience Dynamic (hybrid) working: typically, 4 to 5 days per week on-site due, to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship . Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: You will play a key role, with responsibilities in areas of: Design and development of scalable software systems/solutions with integrated data science capabilities. Creating and maintain database schemas and data models Maintain and enhance existing architectural components such as Data Ingest and Data Stores. Troubleshooting and diagnosing issues within integrated (enriched) data systems. Work with complex dataset to extract insights that supports drive decisions/solutions Translate experimental ideas into production-ready solutions Monitor system performance and implement updates to maintain optimal operation. Continuously evaluate emerging technologies, engaging wider to incorporate them into our development strategies What we're looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning mindset Strong problem-solving skills and research-oriented mindset Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
