Data Engineer Ncounter are supporting a specialist technology consultancy delivering advanced data and AI platforms into highly secure Government and Defence environments. We are seeking a DV Cleared Consultant Engineer to join a growing engineering practice working at the sharp end of national security programmes. This is a deeply technical, hands on role suited to engineers who enjoy solving complex data integration and workflow challenges within secure, mission critical settings. Core experience required: • Active DV clearance, with willingness to work onsite within secure UK locations • Strong software engineering capability in Python, SQL and TypeScript • Proven delivery of complex data engineering solutions across cloud and on prem environments • Experience designing and optimising ETL pipelines and data models at scale • Ability to integrate AI or machine learning components into operational systems • Confident stakeholder engagement within Defence or other classified programmes You will operate across the full engineering lifecycle, translating ambiguous operational problems into robust technical designs and scalable implementations. Working closely with end users and technical stakeholders, you will design and build secure data pipelines, engineer ETL processes, and develop operational workflows that drive real world decision advantage. Exposure to Palantir style platforms such as Foundry or Gotham, or similar large scale data integration environments, is highly desirable You will be expected to challenge assumptions, improve architectural standards and deliver solutions that are secure, performant and supportable in highly constrained environments. This is not a generic consultancy post, it is a technical engineering role where code quality, system design and secure deployment truly matter. If you hold active DV and want to apply your engineering expertise to programmes of national importance, contact Ncounter for a confidential discussion.
03/03/2026
Full time
Data Engineer Ncounter are supporting a specialist technology consultancy delivering advanced data and AI platforms into highly secure Government and Defence environments. We are seeking a DV Cleared Consultant Engineer to join a growing engineering practice working at the sharp end of national security programmes. This is a deeply technical, hands on role suited to engineers who enjoy solving complex data integration and workflow challenges within secure, mission critical settings. Core experience required: • Active DV clearance, with willingness to work onsite within secure UK locations • Strong software engineering capability in Python, SQL and TypeScript • Proven delivery of complex data engineering solutions across cloud and on prem environments • Experience designing and optimising ETL pipelines and data models at scale • Ability to integrate AI or machine learning components into operational systems • Confident stakeholder engagement within Defence or other classified programmes You will operate across the full engineering lifecycle, translating ambiguous operational problems into robust technical designs and scalable implementations. Working closely with end users and technical stakeholders, you will design and build secure data pipelines, engineer ETL processes, and develop operational workflows that drive real world decision advantage. Exposure to Palantir style platforms such as Foundry or Gotham, or similar large scale data integration environments, is highly desirable You will be expected to challenge assumptions, improve architectural standards and deliver solutions that are secure, performant and supportable in highly constrained environments. This is not a generic consultancy post, it is a technical engineering role where code quality, system design and secure deployment truly matter. If you hold active DV and want to apply your engineering expertise to programmes of national importance, contact Ncounter for a confidential discussion.
Principal Data Architect About the Role We are seeking a Principal Data Architect to join a specialist consultancy delivering modern cloud data platforms, advanced analytics and next-generation AI capabilities across the Microsoft ecosystem. This senior, hands-on role is suited to someone who can operate as the organisation's leading authority in AI and data architecture. You will shape and design enterprise-grade solutions, directly influence technical strategy and support complex pre-sales engagements with senior stakeholders. You will work closely with business and technical leaders to translate complex data challenges into secure, scalable and future-ready architectures, while helping to define standards, guide delivery teams and contribute to the development of reusable products and accelerators. Responsibilities Design and architect advanced data and AI platforms across Microsoft Azure and associated technologies Lead the delivery of large-scale data solutions, ensuring quality, performance and alignment to best practice Shape technical strategy and support pre-sales activities, including stakeholder workshops and solution design Define architectural standards and governance models for data, AI and analytics projects Lead and mentor engineers and consultants, setting technical direction and improving capability Engage with C-suite stakeholders to simplify complexity and communicate strategic technical vision Skills and Experience Extensive hands-on experience across Microsoft Azure data and AI services (Azure Data Factory, Synapse, Fabric, Power BI) Proven track record architecting enterprise-scale AI, data and analytics solutions Expertise in generative AI, machine learning, cognitive services and responsible AI practices Deep understanding of modern data architectures including lakehouse, data mesh, MDM and dimensional modelling Knowledge of Dynamics 365 and Power Platform advantageous Experience leading pre-sales engagements and presenting to senior stakeholders What's on Offer Salary of up to £110,000 Remote first working with occasional visit to client Performance-related bonus scheme 23 days' holiday (rising to 28 with service) Company contributory pension Life assurance and private healthcare schemes This is just a brief overview of the opportunity. To learn more, simply apply with your CV and we'll be in touch to discuss the role in more detail. Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour and the London Fabric User Group.
03/03/2026
Full time
Principal Data Architect About the Role We are seeking a Principal Data Architect to join a specialist consultancy delivering modern cloud data platforms, advanced analytics and next-generation AI capabilities across the Microsoft ecosystem. This senior, hands-on role is suited to someone who can operate as the organisation's leading authority in AI and data architecture. You will shape and design enterprise-grade solutions, directly influence technical strategy and support complex pre-sales engagements with senior stakeholders. You will work closely with business and technical leaders to translate complex data challenges into secure, scalable and future-ready architectures, while helping to define standards, guide delivery teams and contribute to the development of reusable products and accelerators. Responsibilities Design and architect advanced data and AI platforms across Microsoft Azure and associated technologies Lead the delivery of large-scale data solutions, ensuring quality, performance and alignment to best practice Shape technical strategy and support pre-sales activities, including stakeholder workshops and solution design Define architectural standards and governance models for data, AI and analytics projects Lead and mentor engineers and consultants, setting technical direction and improving capability Engage with C-suite stakeholders to simplify complexity and communicate strategic technical vision Skills and Experience Extensive hands-on experience across Microsoft Azure data and AI services (Azure Data Factory, Synapse, Fabric, Power BI) Proven track record architecting enterprise-scale AI, data and analytics solutions Expertise in generative AI, machine learning, cognitive services and responsible AI practices Deep understanding of modern data architectures including lakehouse, data mesh, MDM and dimensional modelling Knowledge of Dynamics 365 and Power Platform advantageous Experience leading pre-sales engagements and presenting to senior stakeholders What's on Offer Salary of up to £110,000 Remote first working with occasional visit to client Performance-related bonus scheme 23 days' holiday (rising to 28 with service) Company contributory pension Life assurance and private healthcare schemes This is just a brief overview of the opportunity. To learn more, simply apply with your CV and we'll be in touch to discuss the role in more detail. Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency. We are proud sponsors of SQLBits, Power Platform World Tour and the London Fabric User Group.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
03/03/2026
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
03/03/2026
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
03/03/2026
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
03/03/2026
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
About The Role FDM is looking for a Machine Learning Engineer to work with one of our clients in the Insurance sector. The successful candidate will join a transversal Data team, playing a key role in transforming and modernising the organisation's machine learning platform. This role involves collaborating across the business to define and implement MLOps best practices, as well as designing, building, and maintaining the infrastructure required for developing and deploying machine learning models. This is initially a 6 month contract with the potential to extend and will be a hybrid role based in Reading. The Machine Learning Engineer will work closely with data scientists, data engineers, solution engineers, and a range of stakeholders to ensure seamless integration of machine learning models into production systems, driving innovation and operational excellence within the client. Responsibilities: Contribute to the design and the development of robust MLOps, and Agentic Ops frameworks that will enhance our capabilities and drive value across the company. Take offline models data scientists build and turn them into a real machine learning production system. Define and implement best practices in Machine Learning, MLOps, and Agentic Ops, while mentoring colleagues throughout the organisation. Actively participate in knowledge sharing through internal and external communities and working groups. Contribute to the delivery of code and provide expertise in several key technology areas. Stay up to date with the latest advancements in MLOps, Agentic systems, Azure and Databricks technologies, and proactively identify opportunities to enhance our ML capabilities. About You Degree in computer science, engineering, or proven experience in ML engineering. Proven experience in building and operating machine learning models. Experience in multiple technologies and frameworks required such as Azure Databricks, Azure ML, MLFlow, GIT, Python and PySpark and microservices. Strong understanding of software development, DevOps, MLOps and Agentic Ops practices and microservices. Excellent communication and collaboration skills. About Us We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 3,500 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field Annual leave and work-place pension
03/03/2026
Contractor
About The Role FDM is looking for a Machine Learning Engineer to work with one of our clients in the Insurance sector. The successful candidate will join a transversal Data team, playing a key role in transforming and modernising the organisation's machine learning platform. This role involves collaborating across the business to define and implement MLOps best practices, as well as designing, building, and maintaining the infrastructure required for developing and deploying machine learning models. This is initially a 6 month contract with the potential to extend and will be a hybrid role based in Reading. The Machine Learning Engineer will work closely with data scientists, data engineers, solution engineers, and a range of stakeholders to ensure seamless integration of machine learning models into production systems, driving innovation and operational excellence within the client. Responsibilities: Contribute to the design and the development of robust MLOps, and Agentic Ops frameworks that will enhance our capabilities and drive value across the company. Take offline models data scientists build and turn them into a real machine learning production system. Define and implement best practices in Machine Learning, MLOps, and Agentic Ops, while mentoring colleagues throughout the organisation. Actively participate in knowledge sharing through internal and external communities and working groups. Contribute to the delivery of code and provide expertise in several key technology areas. Stay up to date with the latest advancements in MLOps, Agentic systems, Azure and Databricks technologies, and proactively identify opportunities to enhance our ML capabilities. About You Degree in computer science, engineering, or proven experience in ML engineering. Proven experience in building and operating machine learning models. Experience in multiple technologies and frameworks required such as Azure Databricks, Azure ML, MLFlow, GIT, Python and PySpark and microservices. Strong understanding of software development, DevOps, MLOps and Agentic Ops practices and microservices. Excellent communication and collaboration skills. About Us We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 3,500 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field Annual leave and work-place pension
Candidate Opportunity Brief Position: Head of Innovation and Digital Transformation Reporting to: Chief Innovation Officer Confidentiality: N/A Ford & Stanley Executive Search (Part of the Ford & Stanley Talent Services Group) are a leading Executive search and talent advisory firm specialising in the following sectors: Rail & Transportation Civils & Construction Manufacturing & Supply Chain Technology & Cyber Security Logistics & Intermodal Freight Defence Our search directors, search consultants and in house research team specialise in retained opportunities at the highest level of organisational leadership and management. Our success is based upon a blend of trust-driven relationships, robust market knowledge, and working practices that ensure the best possible alignment of organisational need with experience and personal ambition. Working with business leaders on bespoke assignments for over a decade, we understand exactly what our customers expect from an executive search and talent advisory service whether there is a pressing business need for an executive interim or that of a long-term permanent appointment - Ford & Stanley Executive Search provide the solution. We have been exclusively appointed on a retained search for a Head of Innovation & Digital Transformation. Below you will find a Candidate Opportunity Brief developed from notes taken during the scoping meeting (Situational Discovery) held between the Research Manager of Executive Search & Principal Consultant and the CIO of our client. This brief is designed to give candidates a deeper insight into the opportunity inherent within the role, the challenges the role presents, and provide access to the detail that sits behind the job specification. Client Opportunity Statements: As an organisation, we are at the forefront of innovation within the rail industry, embracing new ways of working and establishing ourselves as a UK transport leader in AI, Machine Learning, Automation, and Operational excellence, through technology and data-driven decision-making. This is a rare opportunity to join an organisation that will be leading the way for the whole industry, redefining operating models, improving performance, reducing cost and providing the best service for our customers. As Head of Innovation and Digital Transformation, you will be at the heart of our mission. You will lead digital transformation across customer experience, operations, technology, and commercial strategy, and represent us across industry, government, and public forums to drive the wider sector s transformation agenda. Challenges expected within the first 12 months include: Working with stakeholders at a top level, instilling trust, credibility and leading adoption of the digital transformation journey. Winning the Hearts and Minds of all employees within the business, starting from the bottom up, taking people on the behavioural change journey and working through push back or hesitations. Playing an integral role in the company that is leading the way in embracing innovation and what this looks like in the future rail landscape. Understanding that as this scales, it will come with increased governance and red tape Key deliverables within the first 12 months include: Delivering against the automation strategy and ensuring the business is on track for the treasury target of £50m savings over a 3-year period. Working across the business to ensure company-wide adoption of new technology and continued elevation of the business's digital culture. Ensuring that the technology is driving operational and service delivery performance and continuing to look at what needs to change to be a more efficient organisation (Automation, AI and Machine Learning Essential Hard Skills (Skills & Experience) Proven experience in driving and leading successful digital transformation with a focus on Automation, AI and Machine learning solutions. (We are open to an individual s industry background, with a preference for those from public-facing service environments. Demonstrable experience leading technical teams (3+ direct reports) with the ability to set strategy while maintaining team motivation and focus. Strong commercial acumen, understanding how digital transformation has a direct financial impact. Strong internal and external stakeholder management skills able to influence at all levels (Bottom to top) and sell the story . A technical qualification is not needed for the role, but it is essential that the candidate is able to understand digital solutions Essential Soft Skills (Attributes & Behaviours) Resilience - able to push forward with good momentum even when facing setbacks. Drive understands the importance of digital transformation and has a passion for driving change whilst pushing a business into the future. Inspirational ability to bring people on the journey and get them excited about what innovation can enable them to do. Pragmatic & Dynamic able to think outside the box and focus on solutions, not problems. Executive maturity ability to operate at a senior level and drive change from a top level. Working Arrangements & Location: 3 days per week at either site, London or York office, with occasional travel expected across the route. 2 days working from home available. Search Timescale Agreement Stage Agreed Date Situational Discovery (Role Scoping Meeting) Completed 10th Feb 2026 Timescale Agreement & Delivery Plan - Issued to Client Completed 11th Feb 2026 Candidate Opportunity Briefing Document Client Sign Off In process 12th Feb 2026 Search Go Live 11th Feb 2026 Mid-Search Review / Progress Update Meeting with Client 25th Feb 2026 Shortlist Presentation & Review Meeting with Client. 6th Mar 2026 First Stage interviews between Candidates & Client. WC 9th Mar 2026 Psychometric Assessment (If applicable) N/A Final Stage Interviews between Candidates & Client WC 23rd Mar 2026 Decision to offer successful candidate 27th Mar 2026 Likely Candidate Start Date 3-month notice Mid Notice Engagement Session between Candidate & Client May 2026 Ford & Stanley Executive Search Pre-Submission Process: First Engagement: A short engagement and introductory conversation to position the opportunity, gauge candidate early interest level and arrange a time and date for a more detailed discussion. NDA sent (if applicable) upon receipt of signed NDA - Candidate Opportunity Brief shared. Candidate Discovery: An open, conversational and consultative discussion where candidates and executive search consultant explore and discuss the opportunity brief. Candidates are assessed on their suitability for the role in the context of the key essentials and challenged on how the opportunity lines up with their career aspirations, motivations, financial expectations and personal circumstance. The search consultant will utilise the information captured during candidate discovery to start to build your profile on suitability. Recommendations may be made at this point for adjustments or updates to your CV. The shortlist : Shortlisted candidates, having taken time to reflect on the opportunity and undertake subsequent research on the clients business are reengaged where they are asked to provide additional specific information on their suitability (if/where applicable). Final checks of key notes, package details and logistical alignments made. Finishing touches are then made to your profile prior to submission along with our notes and recommendations. Client Interview Process: 1st Stage interview: Remote interview with CIO and a Head of Department competency-based with questions relating to subject matter. 2nd Stage interview: Face-to-face interview with CIO and a Director Presentation task - TBC Good to know: The Head of Innovation and Business Transformation reports into the Chief Innovation Officer. This opportunity has arisen due to the current Head of Innovation & Business Transformation leaving the business in March. The previous incumbent put exceptional foundations in place to successfully navigate what can be a very governance-heavy industry. This individual will have indirect leadership of a team of 35 across Machine Learning, Innovation and AI. Part of a wider team of 120 across the Digital division. Team culture is one that is dynamic, driven, supportive and creative. There will be a focus on continuing to develop team resilience and empowering them to embrace accountability. The client have a culture of openness and transparency, which will support the mission of this role. We are particularly looking for those who can display strong leadership throughout the business and work diligently to lead from the front and build strong relationships at all levels The client is an industry-leading train operator that is at the forefront of digital adoption and setting the standard within the industry. . click apply for full job details
13/02/2026
Full time
Candidate Opportunity Brief Position: Head of Innovation and Digital Transformation Reporting to: Chief Innovation Officer Confidentiality: N/A Ford & Stanley Executive Search (Part of the Ford & Stanley Talent Services Group) are a leading Executive search and talent advisory firm specialising in the following sectors: Rail & Transportation Civils & Construction Manufacturing & Supply Chain Technology & Cyber Security Logistics & Intermodal Freight Defence Our search directors, search consultants and in house research team specialise in retained opportunities at the highest level of organisational leadership and management. Our success is based upon a blend of trust-driven relationships, robust market knowledge, and working practices that ensure the best possible alignment of organisational need with experience and personal ambition. Working with business leaders on bespoke assignments for over a decade, we understand exactly what our customers expect from an executive search and talent advisory service whether there is a pressing business need for an executive interim or that of a long-term permanent appointment - Ford & Stanley Executive Search provide the solution. We have been exclusively appointed on a retained search for a Head of Innovation & Digital Transformation. Below you will find a Candidate Opportunity Brief developed from notes taken during the scoping meeting (Situational Discovery) held between the Research Manager of Executive Search & Principal Consultant and the CIO of our client. This brief is designed to give candidates a deeper insight into the opportunity inherent within the role, the challenges the role presents, and provide access to the detail that sits behind the job specification. Client Opportunity Statements: As an organisation, we are at the forefront of innovation within the rail industry, embracing new ways of working and establishing ourselves as a UK transport leader in AI, Machine Learning, Automation, and Operational excellence, through technology and data-driven decision-making. This is a rare opportunity to join an organisation that will be leading the way for the whole industry, redefining operating models, improving performance, reducing cost and providing the best service for our customers. As Head of Innovation and Digital Transformation, you will be at the heart of our mission. You will lead digital transformation across customer experience, operations, technology, and commercial strategy, and represent us across industry, government, and public forums to drive the wider sector s transformation agenda. Challenges expected within the first 12 months include: Working with stakeholders at a top level, instilling trust, credibility and leading adoption of the digital transformation journey. Winning the Hearts and Minds of all employees within the business, starting from the bottom up, taking people on the behavioural change journey and working through push back or hesitations. Playing an integral role in the company that is leading the way in embracing innovation and what this looks like in the future rail landscape. Understanding that as this scales, it will come with increased governance and red tape Key deliverables within the first 12 months include: Delivering against the automation strategy and ensuring the business is on track for the treasury target of £50m savings over a 3-year period. Working across the business to ensure company-wide adoption of new technology and continued elevation of the business's digital culture. Ensuring that the technology is driving operational and service delivery performance and continuing to look at what needs to change to be a more efficient organisation (Automation, AI and Machine Learning Essential Hard Skills (Skills & Experience) Proven experience in driving and leading successful digital transformation with a focus on Automation, AI and Machine learning solutions. (We are open to an individual s industry background, with a preference for those from public-facing service environments. Demonstrable experience leading technical teams (3+ direct reports) with the ability to set strategy while maintaining team motivation and focus. Strong commercial acumen, understanding how digital transformation has a direct financial impact. Strong internal and external stakeholder management skills able to influence at all levels (Bottom to top) and sell the story . A technical qualification is not needed for the role, but it is essential that the candidate is able to understand digital solutions Essential Soft Skills (Attributes & Behaviours) Resilience - able to push forward with good momentum even when facing setbacks. Drive understands the importance of digital transformation and has a passion for driving change whilst pushing a business into the future. Inspirational ability to bring people on the journey and get them excited about what innovation can enable them to do. Pragmatic & Dynamic able to think outside the box and focus on solutions, not problems. Executive maturity ability to operate at a senior level and drive change from a top level. Working Arrangements & Location: 3 days per week at either site, London or York office, with occasional travel expected across the route. 2 days working from home available. Search Timescale Agreement Stage Agreed Date Situational Discovery (Role Scoping Meeting) Completed 10th Feb 2026 Timescale Agreement & Delivery Plan - Issued to Client Completed 11th Feb 2026 Candidate Opportunity Briefing Document Client Sign Off In process 12th Feb 2026 Search Go Live 11th Feb 2026 Mid-Search Review / Progress Update Meeting with Client 25th Feb 2026 Shortlist Presentation & Review Meeting with Client. 6th Mar 2026 First Stage interviews between Candidates & Client. WC 9th Mar 2026 Psychometric Assessment (If applicable) N/A Final Stage Interviews between Candidates & Client WC 23rd Mar 2026 Decision to offer successful candidate 27th Mar 2026 Likely Candidate Start Date 3-month notice Mid Notice Engagement Session between Candidate & Client May 2026 Ford & Stanley Executive Search Pre-Submission Process: First Engagement: A short engagement and introductory conversation to position the opportunity, gauge candidate early interest level and arrange a time and date for a more detailed discussion. NDA sent (if applicable) upon receipt of signed NDA - Candidate Opportunity Brief shared. Candidate Discovery: An open, conversational and consultative discussion where candidates and executive search consultant explore and discuss the opportunity brief. Candidates are assessed on their suitability for the role in the context of the key essentials and challenged on how the opportunity lines up with their career aspirations, motivations, financial expectations and personal circumstance. The search consultant will utilise the information captured during candidate discovery to start to build your profile on suitability. Recommendations may be made at this point for adjustments or updates to your CV. The shortlist : Shortlisted candidates, having taken time to reflect on the opportunity and undertake subsequent research on the clients business are reengaged where they are asked to provide additional specific information on their suitability (if/where applicable). Final checks of key notes, package details and logistical alignments made. Finishing touches are then made to your profile prior to submission along with our notes and recommendations. Client Interview Process: 1st Stage interview: Remote interview with CIO and a Head of Department competency-based with questions relating to subject matter. 2nd Stage interview: Face-to-face interview with CIO and a Director Presentation task - TBC Good to know: The Head of Innovation and Business Transformation reports into the Chief Innovation Officer. This opportunity has arisen due to the current Head of Innovation & Business Transformation leaving the business in March. The previous incumbent put exceptional foundations in place to successfully navigate what can be a very governance-heavy industry. This individual will have indirect leadership of a team of 35 across Machine Learning, Innovation and AI. Part of a wider team of 120 across the Digital division. Team culture is one that is dynamic, driven, supportive and creative. There will be a focus on continuing to develop team resilience and empowering them to embrace accountability. The client have a culture of openness and transparency, which will support the mission of this role. We are particularly looking for those who can display strong leadership throughout the business and work diligently to lead from the front and build strong relationships at all levels The client is an industry-leading train operator that is at the forefront of digital adoption and setting the standard within the industry. . click apply for full job details
AI Technical Consultant Contract Rate: £700 per day Contract Length: 3 6 months Location: Flexible / Hybrid (depending on candidate) An exciting AI startup is looking for an experienced AI Technical Consultant to join them on a critical project phase. This is a hands-on contract role suited to someone who can operate at both a technical and advisory level, helping shape, deliver, and optimise AI-driven solutions. You ll work closely with founders, engineers, and stakeholders to translate business requirements into scalable AI solutions, provide technical guidance, and support delivery across the project lifecycle. Key Responsibilities: Act as a technical advisor on AI architecture, model selection, and implementation Work closely with engineering and product teams to deliver AI solutions end-to-end Provide hands-on input across model development, deployment, and optimisation Support stakeholders with technical decision-making and best practice Ensure solutions are scalable, ethical, and aligned with business objectives Required Experience: Proven experience as an AI Consultant, AI Engineer, or similar technical role Strong understanding of machine learning, AI frameworks, and deployment practices Experience working with startups or fast-paced environments Ability to communicate complex technical concepts to non-technical stakeholders Prior contract experience is highly desirable This is a fantastic opportunity to work with a high-growth AI startup, influence key technical decisions, and deliver real impact in a short timeframe. If you re interested email me at (url removed)
10/02/2026
Contractor
AI Technical Consultant Contract Rate: £700 per day Contract Length: 3 6 months Location: Flexible / Hybrid (depending on candidate) An exciting AI startup is looking for an experienced AI Technical Consultant to join them on a critical project phase. This is a hands-on contract role suited to someone who can operate at both a technical and advisory level, helping shape, deliver, and optimise AI-driven solutions. You ll work closely with founders, engineers, and stakeholders to translate business requirements into scalable AI solutions, provide technical guidance, and support delivery across the project lifecycle. Key Responsibilities: Act as a technical advisor on AI architecture, model selection, and implementation Work closely with engineering and product teams to deliver AI solutions end-to-end Provide hands-on input across model development, deployment, and optimisation Support stakeholders with technical decision-making and best practice Ensure solutions are scalable, ethical, and aligned with business objectives Required Experience: Proven experience as an AI Consultant, AI Engineer, or similar technical role Strong understanding of machine learning, AI frameworks, and deployment practices Experience working with startups or fast-paced environments Ability to communicate complex technical concepts to non-technical stakeholders Prior contract experience is highly desirable This is a fantastic opportunity to work with a high-growth AI startup, influence key technical decisions, and deliver real impact in a short timeframe. If you re interested email me at (url removed)
Overview The role: We are looking to hire a Spanish Language Specialist to join our Localisation team in London. This is an office-based role out of our London office. Working at WGSN Together, we create tomorrow A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow. WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you. Role overview The primary duty of the role is to oversee WGSN's Spanish localised content and site updates, acting as a strategic arm of Content, and collaborating with Marketing, Design and Product departments to localise assets for digital publishing on WGSN product sites - Fashion, Interiors, Beauty, Food & Drink, and Consumer Tech - for the Spanish language market. This position will also work closely with the Tech team to incorporate machine translation systems for optimising localisation workflow. We offer a hybrid schedule that balances remote flexibility with team collaboration, requiring three days of in-office presence weekly. Key accountabilities Manage translated Spanish content for various verticals and brand-related marketing materials, ensuring the tone of voice, ideas, and concepts are accurately and consistently conveyed in the target language using culturally appropriate terminology Collaborate with internal Product and Tech teams to assist AI/machine learning development and customise suitable workflows for Spanish language Manage linguistic resources: 6 glossaries and 2 style guides. Develop and maintain documentation and best practices, ensuring terminology consistency across localised content Monitor content quality and implement necessary changes to improve the in-house machine translation system. Review WGSN content compatibility with MT to tailor editing approaches Guide freelancers and part-time staff by offering instructions, constructive feedback, and keeping support materials up-to-date Effectively communicate and collaborate across teams to ensure the smooth execution of Spanish localised multimedia content (video, marketing collateral, etc) Report regularly on project status to localisation managers, and support communication with the Spanish commercial team This list is not exhaustive and there may be other activities you are required to deliver. Skills, experience & qualifications required Must be a native Spanish speaker with an exceptional command of Spanish and English research, reading and writing - skilled in transcreating and localisation editing from English to Spanish Prior experience with machine translation API such as DeepL, Google, Amazon, Bing and post-editing Prioritise and organise tasks under tight deadlines while demonstrating attention to detail Comfortable with flexible work hours and working across regions and time zones, and collaborating virtually with teams and freelancers Self-starter and proactive communicator who is passionate about sharing knowledge and connecting with people and ideas Technical skills: usage proficiency in Apple computer and Google tools, including a basic understanding of data analytics, is desired What we offer Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including: 25 days of holiday per year - with an option to buy/ sell up to 5 days Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness Employee assistance programme, season ticket loans and cycle to work scheme Volunteering opportunities and charitable giving options Great learning and development opportunities. More about WGSN WGSN is the global authority on consumer trend forecasting. We help brands around the world create the right products at the right time for tomorrow's consumer. Our values We Are Everywhere The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere. We Are Future Focused We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow. We Are Rigorous We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do. Our culture An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with. Inclusive workforce We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030. Recognising great performance is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people. We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements. Conversations about flexible working have always been-and will continue to be-actively encouraged here, but we do not offer full remote working. We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you. A Note for Applicants We use AI to help our team screen applications and identify candidates whose skills and experience match the role. This technology removes personal information to promote a fair and unbiased process. We believe this tool helps us find the best talent while maintaining transparency and fairness. A Note for Recruiters Thank you so much for your interest in working with us at WGSN! Our internal Talent Acquisition team takes care of all our recruitment efforts. When we need some extra help, we partner with agencies on our Preferred Supplier List (PSL) that truly understand our business, culture and ways of working together. Since we focus on these established partnerships, we're unable to respond to unsolicited contacts or CVs from outside our PSL. But don't worry! If we decide to explore new partnerships, we'll be sure to reach out.
08/02/2026
Full time
Overview The role: We are looking to hire a Spanish Language Specialist to join our Localisation team in London. This is an office-based role out of our London office. Working at WGSN Together, we create tomorrow A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow. WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you. Role overview The primary duty of the role is to oversee WGSN's Spanish localised content and site updates, acting as a strategic arm of Content, and collaborating with Marketing, Design and Product departments to localise assets for digital publishing on WGSN product sites - Fashion, Interiors, Beauty, Food & Drink, and Consumer Tech - for the Spanish language market. This position will also work closely with the Tech team to incorporate machine translation systems for optimising localisation workflow. We offer a hybrid schedule that balances remote flexibility with team collaboration, requiring three days of in-office presence weekly. Key accountabilities Manage translated Spanish content for various verticals and brand-related marketing materials, ensuring the tone of voice, ideas, and concepts are accurately and consistently conveyed in the target language using culturally appropriate terminology Collaborate with internal Product and Tech teams to assist AI/machine learning development and customise suitable workflows for Spanish language Manage linguistic resources: 6 glossaries and 2 style guides. Develop and maintain documentation and best practices, ensuring terminology consistency across localised content Monitor content quality and implement necessary changes to improve the in-house machine translation system. Review WGSN content compatibility with MT to tailor editing approaches Guide freelancers and part-time staff by offering instructions, constructive feedback, and keeping support materials up-to-date Effectively communicate and collaborate across teams to ensure the smooth execution of Spanish localised multimedia content (video, marketing collateral, etc) Report regularly on project status to localisation managers, and support communication with the Spanish commercial team This list is not exhaustive and there may be other activities you are required to deliver. Skills, experience & qualifications required Must be a native Spanish speaker with an exceptional command of Spanish and English research, reading and writing - skilled in transcreating and localisation editing from English to Spanish Prior experience with machine translation API such as DeepL, Google, Amazon, Bing and post-editing Prioritise and organise tasks under tight deadlines while demonstrating attention to detail Comfortable with flexible work hours and working across regions and time zones, and collaborating virtually with teams and freelancers Self-starter and proactive communicator who is passionate about sharing knowledge and connecting with people and ideas Technical skills: usage proficiency in Apple computer and Google tools, including a basic understanding of data analytics, is desired What we offer Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including: 25 days of holiday per year - with an option to buy/ sell up to 5 days Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness Employee assistance programme, season ticket loans and cycle to work scheme Volunteering opportunities and charitable giving options Great learning and development opportunities. More about WGSN WGSN is the global authority on consumer trend forecasting. We help brands around the world create the right products at the right time for tomorrow's consumer. Our values We Are Everywhere The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere. We Are Future Focused We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow. We Are Rigorous We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do. Our culture An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with. Inclusive workforce We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030. Recognising great performance is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people. We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements. Conversations about flexible working have always been-and will continue to be-actively encouraged here, but we do not offer full remote working. We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you. A Note for Applicants We use AI to help our team screen applications and identify candidates whose skills and experience match the role. This technology removes personal information to promote a fair and unbiased process. We believe this tool helps us find the best talent while maintaining transparency and fairness. A Note for Recruiters Thank you so much for your interest in working with us at WGSN! Our internal Talent Acquisition team takes care of all our recruitment efforts. When we need some extra help, we partner with agencies on our Preferred Supplier List (PSL) that truly understand our business, culture and ways of working together. Since we focus on these established partnerships, we're unable to respond to unsolicited contacts or CVs from outside our PSL. But don't worry! If we decide to explore new partnerships, we'll be sure to reach out.
Overview Position: Customer AI Developer Specialist Career Level: Consultant (CL9) Location: London/Manchester/Edinburgh/Newcastle/Birmingham We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team is: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In the Data & AI team you will Be at the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. Be working with famous brands and household names Develop your skills with our world class training programmes. Drive and implement real world solutions into production that drive business value to our clients. Work alongside global teams to collaborate and deliver the best solutions for our clients. Drive your career progression via our structured career development programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. As a Customer AI Developer Specialist, you will: Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate at the intersection of data science, technology, and business strategy. Key responsibilities Machine Learning (ML) & AI Development Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics Design and run experiments with generative AI models across text, images, audio, and video Consult on and implement algorithms for content generation Define strategies to embed, scale, and optimize Machine Learning (ML) models in production environments Stay up-to-date with emerging research and techniques in AI and Machine Learning (ML) Business Impact & Collaboration Understand business requirements and support the development of use cases Run discovery analytics to identify opportunities for innovation Partner with engineers to deploy Machine Learning (ML) algorithms that deliver measurable value Contribute to sales activities by providing data science insights and shaping solutions Communicate technical concepts clearly to senior client leadership and non-technical teams Innovation & Thought Leadership Build reusable assets and best practices to support future business problems Consult on complex data science analyses and strategic delivery models Shape overall data science strategy and guide delivery excellence Operate across industries and functions to apply Machine Learning (ML) to diverse challenges Mentor team members and share your expertise with the broader practice Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at
08/02/2026
Full time
Overview Position: Customer AI Developer Specialist Career Level: Consultant (CL9) Location: London/Manchester/Edinburgh/Newcastle/Birmingham We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team is: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In the Data & AI team you will Be at the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. Be working with famous brands and household names Develop your skills with our world class training programmes. Drive and implement real world solutions into production that drive business value to our clients. Work alongside global teams to collaborate and deliver the best solutions for our clients. Drive your career progression via our structured career development programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. As a Customer AI Developer Specialist, you will: Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate at the intersection of data science, technology, and business strategy. Key responsibilities Machine Learning (ML) & AI Development Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics Design and run experiments with generative AI models across text, images, audio, and video Consult on and implement algorithms for content generation Define strategies to embed, scale, and optimize Machine Learning (ML) models in production environments Stay up-to-date with emerging research and techniques in AI and Machine Learning (ML) Business Impact & Collaboration Understand business requirements and support the development of use cases Run discovery analytics to identify opportunities for innovation Partner with engineers to deploy Machine Learning (ML) algorithms that deliver measurable value Contribute to sales activities by providing data science insights and shaping solutions Communicate technical concepts clearly to senior client leadership and non-technical teams Innovation & Thought Leadership Build reusable assets and best practices to support future business problems Consult on complex data science analyses and strategic delivery models Shape overall data science strategy and guide delivery excellence Operate across industries and functions to apply Machine Learning (ML) to diverse challenges Mentor team members and share your expertise with the broader practice Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Principal Consultant - Azure AI Engineer / Lead (ITO098519) Principal Consultant - Azure AI Engineer / Lead - ITO098519 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Role Inviting Applications for the role of Principal Consultant - Azure AI Engineer / Lead Responsibilities Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure. Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems. Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure. Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem. Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines. Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, Data Science, or a related quantitative field. Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Solid understanding of software engineering principles, including version control (Git), testing, and code review. Experience with containerization technologies (Docker, Kubernetes). Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Preferred Qualifications/ Skills Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). Understanding of distributed computing concepts and big data technologies. Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
07/02/2026
Full time
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Principal Consultant - Azure AI Engineer / Lead (ITO098519) Principal Consultant - Azure AI Engineer / Lead - ITO098519 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Role Inviting Applications for the role of Principal Consultant - Azure AI Engineer / Lead Responsibilities Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure. Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems. Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure. Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem. Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines. Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, Data Science, or a related quantitative field. Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Solid understanding of software engineering principles, including version control (Git), testing, and code review. Experience with containerization technologies (Docker, Kubernetes). Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Preferred Qualifications/ Skills Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). Understanding of distributed computing concepts and big data technologies. Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: AWS, AZURE, GCP What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. We are currently looking for a DevOps Engineer to join our collaborative team, driving business transformations through strategic insights and agile engineering at an internet scale. Thrive in a trust-based, inclusive environment that values excellence and curiosity. Specialize in AWS and Azure to automate processes for efficient service delivery. Focus on 'Dev' in DevOps, implementing the right tools for optimal service delivery. Support client enablement and coaching. Implement CI/CD pipelines for AWS and Azure, enhancing monitoring for production services Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Knowledge andexperience in AWS, Azure and GCP. Building and implementing CI/CD Pipelines, experience working with repos, build automation tools, build orchestration and environment automation is very interesting E.g. Jenkins, GIT, SVN, CVS, Cloud-Formation, Terraform, Chef, Ansible, Puppet, Code Pipeline, Azure Stack Implementing microservices and containers E.g. Kubernetes, Docker, OpenShift Implementing tools for logging, monitoring and alerting. E.g. TICK Stack, ELK Stack, Splunk, CloudWatch Implementing other cloud infrastructure and networking required to host a digital service, including storage, firewall and network configuration. High availability, business continuity and disaster recovery solutions in the cloud. Deploying serverless functions E.g. AWS Lambda, GCP Cloud Functions, Azure Cloud Functions. Working knowledge of OS including CLI experience, deploying and configuring application or web servers in virtual machines. E.g. Linux, Tomcat, JBoss, Windows Server, IIS. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Technical interview (60 mins) Round 2: Competency interview(60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
06/02/2026
Full time
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: AWS, AZURE, GCP What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. We are currently looking for a DevOps Engineer to join our collaborative team, driving business transformations through strategic insights and agile engineering at an internet scale. Thrive in a trust-based, inclusive environment that values excellence and curiosity. Specialize in AWS and Azure to automate processes for efficient service delivery. Focus on 'Dev' in DevOps, implementing the right tools for optimal service delivery. Support client enablement and coaching. Implement CI/CD pipelines for AWS and Azure, enhancing monitoring for production services Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Knowledge andexperience in AWS, Azure and GCP. Building and implementing CI/CD Pipelines, experience working with repos, build automation tools, build orchestration and environment automation is very interesting E.g. Jenkins, GIT, SVN, CVS, Cloud-Formation, Terraform, Chef, Ansible, Puppet, Code Pipeline, Azure Stack Implementing microservices and containers E.g. Kubernetes, Docker, OpenShift Implementing tools for logging, monitoring and alerting. E.g. TICK Stack, ELK Stack, Splunk, CloudWatch Implementing other cloud infrastructure and networking required to host a digital service, including storage, firewall and network configuration. High availability, business continuity and disaster recovery solutions in the cloud. Deploying serverless functions E.g. AWS Lambda, GCP Cloud Functions, Azure Cloud Functions. Working knowledge of OS including CLI experience, deploying and configuring application or web servers in virtual machines. E.g. Linux, Tomcat, JBoss, Windows Server, IIS. Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Technical interview (60 mins) Round 2: Competency interview(60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
03/10/2025
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Role Title: Senior Security AI Solution Architect/Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose/summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/requirements Assess "as-is" and "to-be" security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. Develop architectural documentation for AI security initiatives. Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Provide hands-on delivery support where required. General "architect" responsibilities that they would also contribute to: Ensure there is a current Security Architecture defined and maintained for key domains (eg, Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team) Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features - what is actually in use and operationalised) Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams. Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations Produce patterns which outline solutions for commonly occurring business security needs and security service consumption Validate patterns are adopted by control domain solutions Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience Proven experience as a Security Solution Architect Deep understanding of AI and Generative AI technologies. Deep understanding of AI and Generative AI Security Capabilities. Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. Personable and collaborative approach, with the ability to engage stakeholders and "roll up sleeves" when needed. Desirable Skills: Experience with regulatory compliance in AI and security, especially EU AI Act. Previous work on securing AI models and platforms (model trust, data security, usage monitoring). AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. AI Enablement & Delivery: End-to-end AI life cycle orchestration including readiness assessments, regulatory reviews, and business adoption. Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks. Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
03/10/2025
Contractor
Role Title: Senior Security AI Solution Architect/Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose/summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/requirements Assess "as-is" and "to-be" security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. Develop architectural documentation for AI security initiatives. Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Provide hands-on delivery support where required. General "architect" responsibilities that they would also contribute to: Ensure there is a current Security Architecture defined and maintained for key domains (eg, Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team) Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features - what is actually in use and operationalised) Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams. Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations Produce patterns which outline solutions for commonly occurring business security needs and security service consumption Validate patterns are adopted by control domain solutions Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience Proven experience as a Security Solution Architect Deep understanding of AI and Generative AI technologies. Deep understanding of AI and Generative AI Security Capabilities. Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. Personable and collaborative approach, with the ability to engage stakeholders and "roll up sleeves" when needed. Desirable Skills: Experience with regulatory compliance in AI and security, especially EU AI Act. Previous work on securing AI models and platforms (model trust, data security, usage monitoring). AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. AI Enablement & Delivery: End-to-end AI life cycle orchestration including readiness assessments, regulatory reviews, and business adoption. Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks. Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
AI Engineer - LLM, Python, RAG, Data Analyst - SQL, Tableau, R, Python, Gen AI, Machine Learning. This is 12 month fixed term contract, hybrid working, office location Weybridge, Surrey. The Role: Build and refine LLM/SLM-based AI solutions, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and on-premise environments. Develop ML models and integrate them into production systems, ensuring scalability and performance. Collaborate with cross-functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimise AI applications, ensuring continuous performance improvement. Essential Skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (eg, Hugging Face, LangChain). Ability to assess AI tools and recommend optimisation for performance improvements. Strong consulting and communication skills able to translate technical concepts into business value. Bachelor's or Master's degree or equivalent in Computer Science, Machine Learning, Engineering, or related field. Full right to work in the UK required. If your profile matches the above and you'd like to find out more, please apply with your up to date CV.
03/10/2025
AI Engineer - LLM, Python, RAG, Data Analyst - SQL, Tableau, R, Python, Gen AI, Machine Learning. This is 12 month fixed term contract, hybrid working, office location Weybridge, Surrey. The Role: Build and refine LLM/SLM-based AI solutions, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and on-premise environments. Develop ML models and integrate them into production systems, ensuring scalability and performance. Collaborate with cross-functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimise AI applications, ensuring continuous performance improvement. Essential Skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (eg, Hugging Face, LangChain). Ability to assess AI tools and recommend optimisation for performance improvements. Strong consulting and communication skills able to translate technical concepts into business value. Bachelor's or Master's degree or equivalent in Computer Science, Machine Learning, Engineering, or related field. Full right to work in the UK required. If your profile matches the above and you'd like to find out more, please apply with your up to date CV.
Design & Technology (DT) Technician - Secondary School - Bexley Immediate Start Full-Time Long-Term Competitive Pay (PAYE) Tradewind Recruitment is looking for a dedicated and enthusiastic DT Technician to join the Design & Technology department at a welcoming secondary school in Bexley . This is a full-time, long-term role starting immediately , offering a fantastic opportunity to be part of a creative and supportive team. Your Responsibilities Prepare, set up and maintain tools, equipment and materials for DT lessons (including woodwork, metalwork, and graphics) Support teachers and students during practical sessions and demonstrations Maintain a safe and organised workshop, ensuring health and safety guidelines are followed at all times Carry out routine maintenance of equipment and machinery Assist with stock management and ordering supplies What We're Looking For Previous experience as a technician (preferred but not essential) A keen interest in Design & Technology and supporting student learning Strong organisational and communication skills A proactive, flexible approach and ability to work as part of a team A valid DBS on the Update Service (or willingness to apply) Why Join Tradewind Recruitment? Competitive pay, paid weekly via PAYE - no umbrella deductions Access to over 2,500 free CPD courses through The National College Ongoing guidance and support from your own dedicated consultant The chance to make a real impact in a thriving school environment Apply today to join this excellent secondary school in Bexley as a DT Technician and help support the next generation of designers, engineers, and innovators.
02/10/2025
Full time
Design & Technology (DT) Technician - Secondary School - Bexley Immediate Start Full-Time Long-Term Competitive Pay (PAYE) Tradewind Recruitment is looking for a dedicated and enthusiastic DT Technician to join the Design & Technology department at a welcoming secondary school in Bexley . This is a full-time, long-term role starting immediately , offering a fantastic opportunity to be part of a creative and supportive team. Your Responsibilities Prepare, set up and maintain tools, equipment and materials for DT lessons (including woodwork, metalwork, and graphics) Support teachers and students during practical sessions and demonstrations Maintain a safe and organised workshop, ensuring health and safety guidelines are followed at all times Carry out routine maintenance of equipment and machinery Assist with stock management and ordering supplies What We're Looking For Previous experience as a technician (preferred but not essential) A keen interest in Design & Technology and supporting student learning Strong organisational and communication skills A proactive, flexible approach and ability to work as part of a team A valid DBS on the Update Service (or willingness to apply) Why Join Tradewind Recruitment? Competitive pay, paid weekly via PAYE - no umbrella deductions Access to over 2,500 free CPD courses through The National College Ongoing guidance and support from your own dedicated consultant The chance to make a real impact in a thriving school environment Apply today to join this excellent secondary school in Bexley as a DT Technician and help support the next generation of designers, engineers, and innovators.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
02/10/2025
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
02/10/2025
Full time
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Architecture Compute, and Engineering organization provides a transformative platform ecosystem with a comprehensive set of capabilities that empowers end users and digital product teams to innovate seamlessly and drive growth for Allstate through the Consumer Connected Cloud mission. This ecosystem aims to provide an absolute frictionless experience for our user community. As a Lead Digital Product Manager in the ACE organization, you'll be a player/coach who drives multiple products across a platform, contributing towards defining, delivering, and managing the lifecycle of a suite of products ensuring they meet the needs of the customers and align with the company's strategic goals. You will lead and coach a team of Digital Product Managers to advance in the trade and to advance product strategy. This role requires a blend of strategic thinking, technical understanding, and business acumen. The Mainframe Lead DPM is driving several strategic initiatives aimed at modernizing and optimizing Allstate's mainframe systems. This includes enhancing cyber resiliency through safeguarded storage upgrades, immutable backups, and disaster recovery exercises, while also transitioning legacy workloads to more agile and secure platforms. The role is central to exploring next-generation capabilities such as AI, machine learning, and containerization-leveraging technologies like zCX and z/OS 3.1 to enable on-platform intelligence and scalable automation. These efforts support a broader transformation of mainframe hosting into a dynamic, data-driven ecosystem that integrates seamlessly with distributed environments and accelerates business value delivery. Key Responsibilities Product Portfolio Leadership: Manage the strategic direction of your product family (multiple products) ensuring continuous alignment to the highest priority outcomes; including vision and strategy for suite of digital products, developing & managing a strategic roadmap Market Research: Conduct market and user research to identify trends, customer needs, and competitive landscape Product Development: Collaborate with cross-functional teams to design, develop, and launch new digital products. Roadmap Management and Alignment: Create appropriate forum for roadmap alignment and planning in support of strategic initiatives across product portfolio and product management team Ongoing Management: Work with the Digital Product teams to optimize team ceremonies and practices to drive maturity including write & groom stories, prioritize, and manage the backlog. Performance Monitoring: Define product performance metrics & monitor product performance using analytics tools and make data-driven decisions. Stakeholder Management: Communicate product progress and updates to internal stakeholders and external partners ensuring appropriate prioritization and coordination of the work Vendor Management: Engage in strategic vendor management where necessary ensuring interactive partnership with both our external vendors and internal sourcing leaders Budget Management: Forecast ongoing total cost of ownership of your products, manage budgets including vendor contract management, hardware costs, labor costs, etc. ensuring operation effectiveness; develops strategies and adjust courses of action Customer Feedback: Gather and analyze customer feedback to continually improve the product. Impact and Influence: Drive maturity in our product management practices, influence engineering, platform consultant and architecture leadership within your product domain and across ACE Grow Talent: Grow & mature Digital Product Management practitioner skills with your team by modeling the skills & behaviors we expect within our DPM trade as well as fostering the growth of individuals on your team Essential criteria All candidates must have the legal right to work in the UK. Allstate is unable to provide sponsorship for this position. A minimum of 5 years' experience as a Digital Product Manager A minimum of 2 year's coaching and leading teams. Must have experience in one or more of the following within the last 10 years COBOL, JCL, CICS, IMS, DB2, VSAM, and z/OS fundamentals. Experience with Agile methodologies and product management tooling Experience of development processes, human centered design, UX/UI design, and digital marketing Demonstrable experience in effectively communicating complex and innovative product concepts to cross-functional development teams. Proven ability to apply data-driven decision-making to influence product direction and prioritization. Strong, proven capability in breaking down complex initiatives into incremental and iterative deliverables aligned with Agile best practices. Definite product performance metrics & monitor product performance using analytics tools and make data-driven decisions. Desirable Experience Understanding of the system behaviors, how batch and online transactions work, performance tuning, and capacity planning. Familiarity with RACF, encryption standards, and audit requirements-especially in regulated industries like Insurance or Finance Supervisory Experience: This job does have supervisory duties. Job posting end date: Friday the 3rd of October 2025 Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility. We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value. We offer: • A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts • Access to world-class learning platforms and award-winning L&D • Clear career paths, internal mobility, and a strong focus on growth • A people-first culture with flexible working options Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability. We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position. Posting End Date: 20 August 2025
02/10/2025
Full time
At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team The Architecture Compute, and Engineering organization provides a transformative platform ecosystem with a comprehensive set of capabilities that empowers end users and digital product teams to innovate seamlessly and drive growth for Allstate through the Consumer Connected Cloud mission. This ecosystem aims to provide an absolute frictionless experience for our user community. As a Lead Digital Product Manager in the ACE organization, you'll be a player/coach who drives multiple products across a platform, contributing towards defining, delivering, and managing the lifecycle of a suite of products ensuring they meet the needs of the customers and align with the company's strategic goals. You will lead and coach a team of Digital Product Managers to advance in the trade and to advance product strategy. This role requires a blend of strategic thinking, technical understanding, and business acumen. The Mainframe Lead DPM is driving several strategic initiatives aimed at modernizing and optimizing Allstate's mainframe systems. This includes enhancing cyber resiliency through safeguarded storage upgrades, immutable backups, and disaster recovery exercises, while also transitioning legacy workloads to more agile and secure platforms. The role is central to exploring next-generation capabilities such as AI, machine learning, and containerization-leveraging technologies like zCX and z/OS 3.1 to enable on-platform intelligence and scalable automation. These efforts support a broader transformation of mainframe hosting into a dynamic, data-driven ecosystem that integrates seamlessly with distributed environments and accelerates business value delivery. Key Responsibilities Product Portfolio Leadership: Manage the strategic direction of your product family (multiple products) ensuring continuous alignment to the highest priority outcomes; including vision and strategy for suite of digital products, developing & managing a strategic roadmap Market Research: Conduct market and user research to identify trends, customer needs, and competitive landscape Product Development: Collaborate with cross-functional teams to design, develop, and launch new digital products. Roadmap Management and Alignment: Create appropriate forum for roadmap alignment and planning in support of strategic initiatives across product portfolio and product management team Ongoing Management: Work with the Digital Product teams to optimize team ceremonies and practices to drive maturity including write & groom stories, prioritize, and manage the backlog. Performance Monitoring: Define product performance metrics & monitor product performance using analytics tools and make data-driven decisions. Stakeholder Management: Communicate product progress and updates to internal stakeholders and external partners ensuring appropriate prioritization and coordination of the work Vendor Management: Engage in strategic vendor management where necessary ensuring interactive partnership with both our external vendors and internal sourcing leaders Budget Management: Forecast ongoing total cost of ownership of your products, manage budgets including vendor contract management, hardware costs, labor costs, etc. ensuring operation effectiveness; develops strategies and adjust courses of action Customer Feedback: Gather and analyze customer feedback to continually improve the product. Impact and Influence: Drive maturity in our product management practices, influence engineering, platform consultant and architecture leadership within your product domain and across ACE Grow Talent: Grow & mature Digital Product Management practitioner skills with your team by modeling the skills & behaviors we expect within our DPM trade as well as fostering the growth of individuals on your team Essential criteria All candidates must have the legal right to work in the UK. Allstate is unable to provide sponsorship for this position. A minimum of 5 years' experience as a Digital Product Manager A minimum of 2 year's coaching and leading teams. Must have experience in one or more of the following within the last 10 years COBOL, JCL, CICS, IMS, DB2, VSAM, and z/OS fundamentals. Experience with Agile methodologies and product management tooling Experience of development processes, human centered design, UX/UI design, and digital marketing Demonstrable experience in effectively communicating complex and innovative product concepts to cross-functional development teams. Proven ability to apply data-driven decision-making to influence product direction and prioritization. Strong, proven capability in breaking down complex initiatives into incremental and iterative deliverables aligned with Agile best practices. Definite product performance metrics & monitor product performance using analytics tools and make data-driven decisions. Desirable Experience Understanding of the system behaviors, how batch and online transactions work, performance tuning, and capacity planning. Familiarity with RACF, encryption standards, and audit requirements-especially in regulated industries like Insurance or Finance Supervisory Experience: This job does have supervisory duties. Job posting end date: Friday the 3rd of October 2025 Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility. We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value. We offer: • A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts • Access to world-class learning platforms and award-winning L&D • Clear career paths, internal mobility, and a strong focus on growth • A people-first culture with flexible working options Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability. We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit. Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position. Posting End Date: 20 August 2025