Decoded is hiring a Data Apprenticeship Instructor to deliver workshops in Data Analytics and Business Analytics to apprenticeship learners. This role involves teaching, preparation of content, and regular assessment of student progress. The ideal candidate will have over 2 years of teaching experience, particularly in data-related subjects, and be skilled in using tools like Python and PowerBI. The position offers a competitive salary of £40,000-£50,000 per annum and includes benefits such as 33 days of holiday and private healthcare.
29/05/2026
Full time
Decoded is hiring a Data Apprenticeship Instructor to deliver workshops in Data Analytics and Business Analytics to apprenticeship learners. This role involves teaching, preparation of content, and regular assessment of student progress. The ideal candidate will have over 2 years of teaching experience, particularly in data-related subjects, and be skilled in using tools like Python and PowerBI. The position offers a competitive salary of £40,000-£50,000 per annum and includes benefits such as 33 days of holiday and private healthcare.
A leading and worldwide recruitment agency is seeking a Data Analyst Apprentice, the employer will be supporting you all the way towards your first career within Data. KEY DUTIES Create a suite of automated reports and dashboards by which we can effectively manage their business. Identify KPIs within the business and ensure that they are measurable with achievable targets. Develop an understanding of the various end users of these reports and ensure that they are suitable. Use advanced analytics practices to delve deeper into trends and patterns in the data. Be able to communicate technical solutions to non-technical people. CANDIDATE REQUIREMENTS Independent skills Team work skills Organisational skills Good written and oral communication skills Numerical Ideally seeking a career within data
28/05/2026
Full time
A leading and worldwide recruitment agency is seeking a Data Analyst Apprentice, the employer will be supporting you all the way towards your first career within Data. KEY DUTIES Create a suite of automated reports and dashboards by which we can effectively manage their business. Identify KPIs within the business and ensure that they are measurable with achievable targets. Develop an understanding of the various end users of these reports and ensure that they are suitable. Use advanced analytics practices to delve deeper into trends and patterns in the data. Be able to communicate technical solutions to non-technical people. CANDIDATE REQUIREMENTS Independent skills Team work skills Organisational skills Good written and oral communication skills Numerical Ideally seeking a career within data
Role Title: IT/Data Analyst Apprentice Location: Leeds (On-Site) Apprentice Level: UK Level 6 Degree Apprenticeship Programme Salary: £23,000 Role Mission: As an IT/Data Analyst Apprentice within our digital team focused on manufacturing, your mission is to harness data analysis and IT capabilities to enhance production processes, optimise manufacturing tools' performance, and extract valuable insights. This plays a pivotal role in advancing our digital manufacturing solutions and driving operational excellence. The Leeds plant of Schneider Electric typically focuses on manufacturing and assembling electrical distribution and control equipment, including switchgear, transformers and other components that support energy management and automation solutions. Key Responsibilities Understand the suite of digital tools used in Schneider Electric and support their deployment and utilisation. Support production in their day to day activities and their use of digital tools. Ensure data integrity, security and compliance with respect to data golden rules and cybersecurity. Collaborate with cross functional teams to understand data requirements. Develop and maintain data models and databases to support manufacturing analytics and reporting needs. Training Training Provider: University of Warwick or Leeds Beckett TBC During your apprenticeship, you will receive two different types of training. 'On the job' training will be delivered by Schneider Electric, as your employer. You'll receive training and supervision to help you perform the job you've been hired to do, including skills and knowledge that fall outside the apprenticeship but are needed for the job role. In addition to on the job training, we provide support to ensure your success, including: A comprehensive induction Mentoring or regular one to one guidance Social enrichment and networking opportunities Performance reviews Mental health and wellbeing support Feedback opportunities 'Off the job' training is delivered by one of our carefully selected training providers during your normal working hours. You will spend at least 20% (average 6 hours per week) of your working hours completing off the job training. This protected time is a requirement for apprenticeship delivery and will teach you the knowledge, skills and behaviours set out in the apprenticeship standard so you can achieve occupational competence. Work Pattern 37.5 hours per week to be worked from Monday to Friday. Exact start and finish times are to be agreed upon with Line Manager. Some of these hours will be allocated to off the job training as part of your Apprenticeship Programme. Skills and Attributes Essential Understand data sources, data manipulation and visualization. Understanding how manufacturing processes work and how data relates to them. Learning how to use databases and basic SQL for managing manufacturing data. Communicating technical ideas clearly to others. Desirable Adaptable to resolve complex problems. Flexible to react to fast paced production environment. Inquisitive to understand manufacturing processes, digital tools and their relationship. Education Entry to the programme of study is through demonstration of a minimum of 112 tariff points. Applicants must also hold 5 GCSE grades including Maths, English and an additional STEM subject at grades C/4 or above. Disciplines studied post GCSE must include any Engineering or relevant STEM subjects (Physics recommended). In addition to the required entry tariff applicants must also have achieved an A level in Maths at grade B. Previous Experience Required No pre requisite experience required. Visa Sponsorship Please note that we are unfortunately unable to provide visa sponsorship for our apprenticeship positions. Additionally, certain visa types may not meet the eligibility criteria for apprenticeship funding under current government guidelines. Benefits Competitive Salary & Attractive Bonus Scheme Employee Share Ownership Programme Pension Scheme & Generous Life Assurance 28 Days Annual Leave + Public Holidays Holiday Buy Programme Flexible Working Arrangements (Role Dependent) Hybrid Working Arrangements (Role Dependent) Access to Health & Wellbeing Support Volunteering Opportunities Access to Employee Discounts (including Fitness, Shopping & Dining) SE Career Hub Portal Access (Portal includes view of internal job opportunities, mentors and projects globally) Learning Portal Access (Portal includes content that supports continuous learning) Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring and promoting all qualified individuals regardless of race, religion, colour, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
28/05/2026
Full time
Role Title: IT/Data Analyst Apprentice Location: Leeds (On-Site) Apprentice Level: UK Level 6 Degree Apprenticeship Programme Salary: £23,000 Role Mission: As an IT/Data Analyst Apprentice within our digital team focused on manufacturing, your mission is to harness data analysis and IT capabilities to enhance production processes, optimise manufacturing tools' performance, and extract valuable insights. This plays a pivotal role in advancing our digital manufacturing solutions and driving operational excellence. The Leeds plant of Schneider Electric typically focuses on manufacturing and assembling electrical distribution and control equipment, including switchgear, transformers and other components that support energy management and automation solutions. Key Responsibilities Understand the suite of digital tools used in Schneider Electric and support their deployment and utilisation. Support production in their day to day activities and their use of digital tools. Ensure data integrity, security and compliance with respect to data golden rules and cybersecurity. Collaborate with cross functional teams to understand data requirements. Develop and maintain data models and databases to support manufacturing analytics and reporting needs. Training Training Provider: University of Warwick or Leeds Beckett TBC During your apprenticeship, you will receive two different types of training. 'On the job' training will be delivered by Schneider Electric, as your employer. You'll receive training and supervision to help you perform the job you've been hired to do, including skills and knowledge that fall outside the apprenticeship but are needed for the job role. In addition to on the job training, we provide support to ensure your success, including: A comprehensive induction Mentoring or regular one to one guidance Social enrichment and networking opportunities Performance reviews Mental health and wellbeing support Feedback opportunities 'Off the job' training is delivered by one of our carefully selected training providers during your normal working hours. You will spend at least 20% (average 6 hours per week) of your working hours completing off the job training. This protected time is a requirement for apprenticeship delivery and will teach you the knowledge, skills and behaviours set out in the apprenticeship standard so you can achieve occupational competence. Work Pattern 37.5 hours per week to be worked from Monday to Friday. Exact start and finish times are to be agreed upon with Line Manager. Some of these hours will be allocated to off the job training as part of your Apprenticeship Programme. Skills and Attributes Essential Understand data sources, data manipulation and visualization. Understanding how manufacturing processes work and how data relates to them. Learning how to use databases and basic SQL for managing manufacturing data. Communicating technical ideas clearly to others. Desirable Adaptable to resolve complex problems. Flexible to react to fast paced production environment. Inquisitive to understand manufacturing processes, digital tools and their relationship. Education Entry to the programme of study is through demonstration of a minimum of 112 tariff points. Applicants must also hold 5 GCSE grades including Maths, English and an additional STEM subject at grades C/4 or above. Disciplines studied post GCSE must include any Engineering or relevant STEM subjects (Physics recommended). In addition to the required entry tariff applicants must also have achieved an A level in Maths at grade B. Previous Experience Required No pre requisite experience required. Visa Sponsorship Please note that we are unfortunately unable to provide visa sponsorship for our apprenticeship positions. Additionally, certain visa types may not meet the eligibility criteria for apprenticeship funding under current government guidelines. Benefits Competitive Salary & Attractive Bonus Scheme Employee Share Ownership Programme Pension Scheme & Generous Life Assurance 28 Days Annual Leave + Public Holidays Holiday Buy Programme Flexible Working Arrangements (Role Dependent) Hybrid Working Arrangements (Role Dependent) Access to Health & Wellbeing Support Volunteering Opportunities Access to Employee Discounts (including Fitness, Shopping & Dining) SE Career Hub Portal Access (Portal includes view of internal job opportunities, mentors and projects globally) Learning Portal Access (Portal includes content that supports continuous learning) Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring and promoting all qualified individuals regardless of race, religion, colour, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
About this role We're seeking a Site Reliability Engineering (SRE) Lead to design, build, and maintain resilient, high scale systems supporting BlackRock's Private Markets platform. In this hands on leadership role, you'll apply deep engineering expertise to solve complex challenges, guide a global team, shape technical direction, and communicate effectively with senior stakeholders-ensuring the reliability of mission critical systems that power private market investment workflows and decision making. You will drive the adoption of AI driven solutions to accelerate incident detection and triage, reduce toil, improve forecasting and capacity planning, and strengthen end to end observability and resilience. Role Responsibilities Take ownership of project priorities, deadlines and deliverables using Agile methodologies, with clear outcomes around reliability automation and AI enabled operations Understand and refine business and functional requirements, translating them into SLOs/SLIs and AI assisted observability and support capabilities Hands on approach to getting work done-this role requires a "roll your sleeves up" mentality, including building and operationalizing reliability tooling and automation that measurably reduces toil and improves stability Be a leader with vision and a partner in brainstorming solutions for team productivity and efficiency to improve engineering effectiveness Drive priority setting of the engineering teams, balancing foundational reliability work with delivery of new product features Improve Engineering culture by encouraging continuous focus on reliability across the entire application lifecycle, and by adopting AI enabled SRE practices (e.g., intelligent alerting, automated diagnosis, and self healing where appropriate) Proactive participant in architectural and design decisions, including AI ready telemetry, data quality, and model integration patterns for operational analytics Design and implement end to end monitoring solutions for application and infrastructure components, leveraging modern observability platforms plus AI/ML techniques for anomaly detection, correlation, and alert noise reduction Drive the engineering of capacity management and demand forecasting solutions, including predictive analytics/ML approaches where they add measurable value Act as a culture carrier and leader, passing on SRE knowledge and best practices to the engineering team Drive detailed root cause investigations for production incidents with rigorous focus on issue avoidance, using AI assisted correlation/analysis to accelerate time to insight Create/coordinate retros for significant incidents, ensuring learnings are captured in automated/AI assisted runbooks and embedded into prevention mechanisms Additional core engineering functions, such as adding custom telemetry metrics/logs/traces to the code base of in scope applications to enable AI/ML driven operational insights Anticipate new opportunities to continuously evolve the resiliency profile of scoped applications and infrastructure Skills/Qualifications Must Have B.S. / M.S. degree in Computer Science, Engineering or a related discipline with 10+ years of experience Experience leading high performing engineering/SRE teams, with a track record of driving continuous improvement through automation and AI enabled operations Demonstrated ability to represent engineering/SRE priorities, status, and risk to senior leadership stakeholders with clear, executive ready communication Hands on experience building or operating AI assisted capabilities (AIOps, ML based anomaly detection, or GenAI workflows) in an engineering/production environment A passion for providing engineering support for highly available, performant full stack applications with a "Student of Technology" attitude Experience with relational database and NoSQL Database (e.g., Redis, Apache Cassandra) Benefits We offer a wide range of employee benefits including retirement investment and tools designed to help you build a sound financial future; education reimbursement; comprehensive resources to support your physical health and emotional well being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about. Hybrid Work Model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. Equal Opportunity Employer BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
27/05/2026
Full time
About this role We're seeking a Site Reliability Engineering (SRE) Lead to design, build, and maintain resilient, high scale systems supporting BlackRock's Private Markets platform. In this hands on leadership role, you'll apply deep engineering expertise to solve complex challenges, guide a global team, shape technical direction, and communicate effectively with senior stakeholders-ensuring the reliability of mission critical systems that power private market investment workflows and decision making. You will drive the adoption of AI driven solutions to accelerate incident detection and triage, reduce toil, improve forecasting and capacity planning, and strengthen end to end observability and resilience. Role Responsibilities Take ownership of project priorities, deadlines and deliverables using Agile methodologies, with clear outcomes around reliability automation and AI enabled operations Understand and refine business and functional requirements, translating them into SLOs/SLIs and AI assisted observability and support capabilities Hands on approach to getting work done-this role requires a "roll your sleeves up" mentality, including building and operationalizing reliability tooling and automation that measurably reduces toil and improves stability Be a leader with vision and a partner in brainstorming solutions for team productivity and efficiency to improve engineering effectiveness Drive priority setting of the engineering teams, balancing foundational reliability work with delivery of new product features Improve Engineering culture by encouraging continuous focus on reliability across the entire application lifecycle, and by adopting AI enabled SRE practices (e.g., intelligent alerting, automated diagnosis, and self healing where appropriate) Proactive participant in architectural and design decisions, including AI ready telemetry, data quality, and model integration patterns for operational analytics Design and implement end to end monitoring solutions for application and infrastructure components, leveraging modern observability platforms plus AI/ML techniques for anomaly detection, correlation, and alert noise reduction Drive the engineering of capacity management and demand forecasting solutions, including predictive analytics/ML approaches where they add measurable value Act as a culture carrier and leader, passing on SRE knowledge and best practices to the engineering team Drive detailed root cause investigations for production incidents with rigorous focus on issue avoidance, using AI assisted correlation/analysis to accelerate time to insight Create/coordinate retros for significant incidents, ensuring learnings are captured in automated/AI assisted runbooks and embedded into prevention mechanisms Additional core engineering functions, such as adding custom telemetry metrics/logs/traces to the code base of in scope applications to enable AI/ML driven operational insights Anticipate new opportunities to continuously evolve the resiliency profile of scoped applications and infrastructure Skills/Qualifications Must Have B.S. / M.S. degree in Computer Science, Engineering or a related discipline with 10+ years of experience Experience leading high performing engineering/SRE teams, with a track record of driving continuous improvement through automation and AI enabled operations Demonstrated ability to represent engineering/SRE priorities, status, and risk to senior leadership stakeholders with clear, executive ready communication Hands on experience building or operating AI assisted capabilities (AIOps, ML based anomaly detection, or GenAI workflows) in an engineering/production environment A passion for providing engineering support for highly available, performant full stack applications with a "Student of Technology" attitude Experience with relational database and NoSQL Database (e.g., Redis, Apache Cassandra) Benefits We offer a wide range of employee benefits including retirement investment and tools designed to help you build a sound financial future; education reimbursement; comprehensive resources to support your physical health and emotional well being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about. Hybrid Work Model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. Equal Opportunity Employer BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
Commercial Analyst - Property Location: Hybrid role, 2 days per week in London or Nuneaton office at CV10 7RH. The Role Our Analytics organisation is structured into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Property Analyst in the Core Business Analytics team, you'll support the Property and Commercial functions with a focus on estate optimisation and format improvements, partnering with stakeholders across Trading, Commercial, Customer and Supply Chain. Responsibilities Partner with the property team to analyze location and property data to support business strategy and estate optimisation. Deep dive into topics such as store performance, cannibalisation and catchment analysis, producing actionable recommendations to the property and commercial teams. Support the business strategy on new store openings and refits, acting as the data lead to evaluate the impact and drive future development. Collaborate with wider data teams, including BI and engineers, to develop data products that enable business self serve critical reporting. Contribute to sprint planning and backlog shaping as part of the Commercial Ops analytics roadmap. Work with a modern data stack, including Redshift, BigQuery, Matillion and Retool. Partner or work across analytics projects for Space and Range, Supply Chain or Commercial Ops where relevant. Qualifications SQL proficiency: comfortable querying, joining and transforming data to analyze stock, sales and customer performance. Commercial awareness: understands retail performance drivers. Communication: able to clearly explain trade offs and performance trends to commercial and supply chain stakeholders. Delivery ownership: manages own tasks within agile delivery, balancing speed and accuracy. Visualisation skills: builds usable dashboards in Metabase that support operational planning. Collaborative mindset: works well across Commercial, Supply, and Customer functions. Education & Experience: degree in a quantitative field such as Mathematics, Statistics, Economics or Engineering, and 2 3 years of analytics experience-preferably with exposure to commercial operations, network or property data. Benefits Wellbeing & Lifestyle Benefits 33 days holiday, including bank holidays Health Cash Plan Life Assurance Incentive scheme based on company & personal performance Virtual GP Private Medical care FREE at home blood test kit Holiday Purchase option Pension Contribution scheme Access to 'Wellhub' with gyms, studios and wellbeing apps Discounts & Savings 25% Colleague Discount with FREE Standard Delivery Exclusive Discounts from a wide range of partners £/€50 Annual Product Allowance to spend in store Learning & Development Access to a variety of learning opportunities, including Level 2 5 Apprenticeships, Workshops and our Digital Learning Library AND MORE!
26/05/2026
Full time
Commercial Analyst - Property Location: Hybrid role, 2 days per week in London or Nuneaton office at CV10 7RH. The Role Our Analytics organisation is structured into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Property Analyst in the Core Business Analytics team, you'll support the Property and Commercial functions with a focus on estate optimisation and format improvements, partnering with stakeholders across Trading, Commercial, Customer and Supply Chain. Responsibilities Partner with the property team to analyze location and property data to support business strategy and estate optimisation. Deep dive into topics such as store performance, cannibalisation and catchment analysis, producing actionable recommendations to the property and commercial teams. Support the business strategy on new store openings and refits, acting as the data lead to evaluate the impact and drive future development. Collaborate with wider data teams, including BI and engineers, to develop data products that enable business self serve critical reporting. Contribute to sprint planning and backlog shaping as part of the Commercial Ops analytics roadmap. Work with a modern data stack, including Redshift, BigQuery, Matillion and Retool. Partner or work across analytics projects for Space and Range, Supply Chain or Commercial Ops where relevant. Qualifications SQL proficiency: comfortable querying, joining and transforming data to analyze stock, sales and customer performance. Commercial awareness: understands retail performance drivers. Communication: able to clearly explain trade offs and performance trends to commercial and supply chain stakeholders. Delivery ownership: manages own tasks within agile delivery, balancing speed and accuracy. Visualisation skills: builds usable dashboards in Metabase that support operational planning. Collaborative mindset: works well across Commercial, Supply, and Customer functions. Education & Experience: degree in a quantitative field such as Mathematics, Statistics, Economics or Engineering, and 2 3 years of analytics experience-preferably with exposure to commercial operations, network or property data. Benefits Wellbeing & Lifestyle Benefits 33 days holiday, including bank holidays Health Cash Plan Life Assurance Incentive scheme based on company & personal performance Virtual GP Private Medical care FREE at home blood test kit Holiday Purchase option Pension Contribution scheme Access to 'Wellhub' with gyms, studios and wellbeing apps Discounts & Savings 25% Colleague Discount with FREE Standard Delivery Exclusive Discounts from a wide range of partners £/€50 Annual Product Allowance to spend in store Learning & Development Access to a variety of learning opportunities, including Level 2 5 Apprenticeships, Workshops and our Digital Learning Library AND MORE!
Computing Systems Apprentice - Carson McDowell This IT Apprentice role is designed specifically for students enrolled on the BSc (Hons) Computing Systems programme. The post provides structured, hands on experience aligned to academic learning across software development, networking, databases, systems security, cloud, and professional practice. The IT Apprentice will deliver first line IT support while contributing to infrastructure, systems, and improvement projects, developing practical competence that complements degree modules. Key Purpose of the Role Provide high-quality first-line IT support to users through a service desk. Apply academic knowledge from the Computing Systems programme to real-world IT environments. Develop professional, technical, and collaborative skills aligned with graduate outcomes. Learning & Development Alignment (Computing Systems) This role actively supports learning outcomes from the BSc Computing Systems programme, including: Programming & Problem Solving: Applying logical troubleshooting, scripting, and automation concepts. Databases & Data: Supporting data-driven systems, queries, and reporting tasks. Client & Server Side Systems: Understanding web-based systems, applications, and APIs. Networking: Exposure to enterprise networks, routing, switching, and secure connectivity. Systems & Security: Applying secure system design principles and operational security controls. Cloud & Virtualisation: Assisting with cloud services, virtual machines, and modern deployment practices. Professional Practice: Teamwork, documentation, ethical practice, communication, and service delivery. Core Responsibilities Provide first-line support via phone, email, in person, and remote tools. Log, manage, prioritise, and resolve incidents and service requests using the IT Service Desk. Troubleshoot hardware, software, operating systems, and network connectivity issues. Systems & Infrastructure Support Assist with installation, configuration, and maintenance of PCs, laptops, peripherals, printers, and mobile devices. Support Windows client and server environments; assist with user accounts and access management. Assist with LAN/WAN/VPN connectivity and basic network diagnostics. Software, Development & Data Support Support standard business software, including Microsoft 365 and specialist applications. Assist with software rollouts and updates using centralised deployment tools. Apply foundational skills in databases (SQL), scripting, and automation where appropriate. Assist with basic web or internal application support aligned to client/server and full stack concepts. Information Security & Compliance Support information security best practices in day to day operations. Assist with patch management, vulnerability remediation, and endpoint security tasks. Contribute to Cyber Essentials and ISO 27001 support activities. Contribute to IT projects, including hardware refreshes, system upgrades, cloud adoption, and process improvements. Apply structured problem solving, documentation, and testing practices. Support initiatives related to networking, cloud platforms, data analytics, or automation as appropriate. Required Knowledge & Skills (Student Level) Enrolment on BSc (Hons) Computing Systems Willingness to learn and apply academic knowledge in a professional setting.
25/05/2026
Full time
Computing Systems Apprentice - Carson McDowell This IT Apprentice role is designed specifically for students enrolled on the BSc (Hons) Computing Systems programme. The post provides structured, hands on experience aligned to academic learning across software development, networking, databases, systems security, cloud, and professional practice. The IT Apprentice will deliver first line IT support while contributing to infrastructure, systems, and improvement projects, developing practical competence that complements degree modules. Key Purpose of the Role Provide high-quality first-line IT support to users through a service desk. Apply academic knowledge from the Computing Systems programme to real-world IT environments. Develop professional, technical, and collaborative skills aligned with graduate outcomes. Learning & Development Alignment (Computing Systems) This role actively supports learning outcomes from the BSc Computing Systems programme, including: Programming & Problem Solving: Applying logical troubleshooting, scripting, and automation concepts. Databases & Data: Supporting data-driven systems, queries, and reporting tasks. Client & Server Side Systems: Understanding web-based systems, applications, and APIs. Networking: Exposure to enterprise networks, routing, switching, and secure connectivity. Systems & Security: Applying secure system design principles and operational security controls. Cloud & Virtualisation: Assisting with cloud services, virtual machines, and modern deployment practices. Professional Practice: Teamwork, documentation, ethical practice, communication, and service delivery. Core Responsibilities Provide first-line support via phone, email, in person, and remote tools. Log, manage, prioritise, and resolve incidents and service requests using the IT Service Desk. Troubleshoot hardware, software, operating systems, and network connectivity issues. Systems & Infrastructure Support Assist with installation, configuration, and maintenance of PCs, laptops, peripherals, printers, and mobile devices. Support Windows client and server environments; assist with user accounts and access management. Assist with LAN/WAN/VPN connectivity and basic network diagnostics. Software, Development & Data Support Support standard business software, including Microsoft 365 and specialist applications. Assist with software rollouts and updates using centralised deployment tools. Apply foundational skills in databases (SQL), scripting, and automation where appropriate. Assist with basic web or internal application support aligned to client/server and full stack concepts. Information Security & Compliance Support information security best practices in day to day operations. Assist with patch management, vulnerability remediation, and endpoint security tasks. Contribute to Cyber Essentials and ISO 27001 support activities. Contribute to IT projects, including hardware refreshes, system upgrades, cloud adoption, and process improvements. Apply structured problem solving, documentation, and testing practices. Support initiatives related to networking, cloud platforms, data analytics, or automation as appropriate. Required Knowledge & Skills (Student Level) Enrolment on BSc (Hons) Computing Systems Willingness to learn and apply academic knowledge in a professional setting.
IT Degree Apprentice - Digital Technology Solutions (Level 6) 505889 13-Mayo-2026 Internal Services Launch Your Career with Siemens! Join us at Siemens and kickstart your career in a place where innovation meets inclusion. Whether you're passionate about tech, people, sustainability, or strategy - we've got a role that will challenge and inspire you. Why Siemens? This isn't just a job , it's a journey. You'll be part of a vibrant early career's community, solving real business challenges, learning from experts, and growing every day. We care about your success, your wellbeing, and your future. What Makes Our Process Different? N o CV Bias: We're changing the game. Your CV will need to be attached but won't be seen by the hiring team until the final stage of the recruitment process. We focus on potential, not past experience . What Will Your Day Look Like? This apprenticeship focuses on how digital technology can be used to solve business problems and drive real change. You'll play a key role in helping the business improve performance through digital technology. You'll also learn how to evaluate and develop solutions, using data to understand risks and opportunities, and support decisions that can have a real impact across the organisation. During the programme, you'll develop a broad skill set across areas such as data, software development, cyber security, and IT project delivery. You'll be based in Manchester , where we encourage office presence to help you learn, connect, and thrive. Hybrid working options may be available depending on the role. Your role will include: Working on data and analytics projects to help the business understand performance and identify opportunities for improvement Collecting, cleaning and analysing data, and turning this into clear insights and recommendations Supporting teams across the business by creating reports, sharing findings and explaining results in a simple, effective way Contributing to the design and development of digital solutions, applying knowledge across data, software, cyber security and systems Identifying risks in technology systems (including security, ethical and legal considerations) and supporting actions to manage them Collaborating with a range of stakeholders to deliver projects, improve processes and explore new technologies such as AI T o learn more about what your apprenticeship programme involves, please take a look at the link below : The apprenticeship programme will be delivered by Manchester Metropolitan University. What We're Looking For We welcome applicants from all backgrounds , if you're curious, motivated, and ready to learn, we want to hear from you. Achieved at least 5 GCSE's grade 4 or above including Maths and English Language (or equivalent) Achieved or predicted to achieve 3 A Levels (or equivalent) at grade C or above, giving a total of at least 96 UCAS points. This is a mandatory requirement for acceptance onto the apprenticeship scheme. A genuine interest in technology, with curiosity and a proactive approach to learning and problem-solving Strong communication skills, with the ability to explain ideas clearly to both technical and non-technical audiences An interest in how businesses operate , and how technology can be used to drive improvement What's In It For You? Discounts on everyday spending Subsidised gym memberships A n induction week alongside your Early Careers cohor t; build your network and get to know Siemens A celebration at our Early Careers Gala when you complete your programme! Belonging Transforms We are fully committed to providing equal opportunities and building an inclusive workplace where a broad range of backgrounds and perspectives thrive. We embrace the many ways people think, learn, and experience the world because we know that diverse minds drive innovation. If your application makes it to the assessment stage of our process, please reach out to the recruiter who has been in contact with you and let us know of any requirements you have. 'Belonging Transforms' is at the heart of Siemens Equity, Diversity, and Inclusion; learn more with this link. Ready to Shape the Future? We receive lots of applications and may close our roles early as a result of this, so we really encourage you to apply as soon as possible. The future is exciting at Siemens , and we'd love you to be part of it. Apply now and start your journey with us!
25/05/2026
Full time
IT Degree Apprentice - Digital Technology Solutions (Level 6) 505889 13-Mayo-2026 Internal Services Launch Your Career with Siemens! Join us at Siemens and kickstart your career in a place where innovation meets inclusion. Whether you're passionate about tech, people, sustainability, or strategy - we've got a role that will challenge and inspire you. Why Siemens? This isn't just a job , it's a journey. You'll be part of a vibrant early career's community, solving real business challenges, learning from experts, and growing every day. We care about your success, your wellbeing, and your future. What Makes Our Process Different? N o CV Bias: We're changing the game. Your CV will need to be attached but won't be seen by the hiring team until the final stage of the recruitment process. We focus on potential, not past experience . What Will Your Day Look Like? This apprenticeship focuses on how digital technology can be used to solve business problems and drive real change. You'll play a key role in helping the business improve performance through digital technology. You'll also learn how to evaluate and develop solutions, using data to understand risks and opportunities, and support decisions that can have a real impact across the organisation. During the programme, you'll develop a broad skill set across areas such as data, software development, cyber security, and IT project delivery. You'll be based in Manchester , where we encourage office presence to help you learn, connect, and thrive. Hybrid working options may be available depending on the role. Your role will include: Working on data and analytics projects to help the business understand performance and identify opportunities for improvement Collecting, cleaning and analysing data, and turning this into clear insights and recommendations Supporting teams across the business by creating reports, sharing findings and explaining results in a simple, effective way Contributing to the design and development of digital solutions, applying knowledge across data, software, cyber security and systems Identifying risks in technology systems (including security, ethical and legal considerations) and supporting actions to manage them Collaborating with a range of stakeholders to deliver projects, improve processes and explore new technologies such as AI T o learn more about what your apprenticeship programme involves, please take a look at the link below : The apprenticeship programme will be delivered by Manchester Metropolitan University. What We're Looking For We welcome applicants from all backgrounds , if you're curious, motivated, and ready to learn, we want to hear from you. Achieved at least 5 GCSE's grade 4 or above including Maths and English Language (or equivalent) Achieved or predicted to achieve 3 A Levels (or equivalent) at grade C or above, giving a total of at least 96 UCAS points. This is a mandatory requirement for acceptance onto the apprenticeship scheme. A genuine interest in technology, with curiosity and a proactive approach to learning and problem-solving Strong communication skills, with the ability to explain ideas clearly to both technical and non-technical audiences An interest in how businesses operate , and how technology can be used to drive improvement What's In It For You? Discounts on everyday spending Subsidised gym memberships A n induction week alongside your Early Careers cohor t; build your network and get to know Siemens A celebration at our Early Careers Gala when you complete your programme! Belonging Transforms We are fully committed to providing equal opportunities and building an inclusive workplace where a broad range of backgrounds and perspectives thrive. We embrace the many ways people think, learn, and experience the world because we know that diverse minds drive innovation. If your application makes it to the assessment stage of our process, please reach out to the recruiter who has been in contact with you and let us know of any requirements you have. 'Belonging Transforms' is at the heart of Siemens Equity, Diversity, and Inclusion; learn more with this link. Ready to Shape the Future? We receive lots of applications and may close our roles early as a result of this, so we really encourage you to apply as soon as possible. The future is exciting at Siemens , and we'd love you to be part of it. Apply now and start your journey with us!
Role Title: IT/Data Analyst Apprentice Location: Leeds (On-Site) Apprentice Level: UK Level 6 Degree Apprenticeship Programme Salary: £23,000 Role Mission: As an IT/Data Analyst Apprentice within our digital team focused on manufacturing, your mission is to harness data analysis and IT capabilities to enhance production processes, optimise manufacturing tools' performance, and extract valuable insights. This plays a pivotal role in advancing our digital manufacturing solutions and driving operational excellence. The Leeds plant of Schneider Electric typically focuses on manufacturing and assembling electrical distribution and control equipment, including switchgear, transformers and other components that support energy management and automation solutions. Key Responsibilities Understand the suite of digital tools used in Schneider Electric and support their deployment and utilisation. Support production in their day to day activities and their use of digital tools. Ensure data integrity, security and compliance with respect to data golden rules and cybersecurity. Collaborate with cross functional teams to understand data requirements. Develop and maintain data models and databases to support manufacturing analytics and reporting needs. Training Training Provider: University of Warwick or Leeds Beckett TBC During your apprenticeship, you will receive two different types of training. 'On the job' training will be delivered by Schneider Electric, as your employer. You'll receive training and supervision to help you perform the job you've been hired to do, including skills and knowledge that fall outside the apprenticeship but are needed for the job role. In addition to on the job training, we provide support to ensure your success, including: A comprehensive induction Mentoring or regular one to one guidance Social enrichment and networking opportunities Performance reviews Mental health and wellbeing support Feedback opportunities 'Off the job' training is delivered by one of our carefully selected training providers during your normal working hours. You will spend at least 20% (average 6 hours per week) of your working hours completing off the job training. This protected time is a requirement for apprenticeship delivery and will teach you the knowledge, skills and behaviours set out in the apprenticeship standard so you can achieve occupational competence. Work Pattern 37.5 hours per week to be worked from Monday to Friday. Exact start and finish times are to be agreed upon with Line Manager. Some of these hours will be allocated to off the job training as part of your Apprenticeship Programme. Skills and Attributes Essential Understand data sources, data manipulation and visualization. Understanding how manufacturing processes work and how data relates to them. Learning how to use databases and basic SQL for managing manufacturing data. Communicating technical ideas clearly to others. Desirable Adaptable to resolve complex problems. Flexible to react to fast paced production environment. Inquisitive to understand manufacturing processes, digital tools and their relationship. Education Entry to the programme of study is through demonstration of a minimum of 112 tariff points. Applicants must also hold 5 GCSE grades including Maths, English and an additional STEM subject at grades C/4 or above. Disciplines studied post GCSE must include any Engineering or relevant STEM subjects (Physics recommended). In addition to the required entry tariff applicants must also have achieved an A level in Maths at grade B. Previous Experience Required No pre requisite experience required. Visa Sponsorship Please note that we are unfortunately unable to provide visa sponsorship for our apprenticeship positions. Additionally, certain visa types may not meet the eligibility criteria for apprenticeship funding under current government guidelines. Benefits Competitive Salary & Attractive Bonus Scheme Employee Share Ownership Programme Pension Scheme & Generous Life Assurance 28 Days Annual Leave + Public Holidays Holiday Buy Programme Flexible Working Arrangements (Role Dependent) Hybrid Working Arrangements (Role Dependent) Access to Health & Wellbeing Support Volunteering Opportunities Access to Employee Discounts (including Fitness, Shopping & Dining) SE Career Hub Portal Access (Portal includes view of internal job opportunities, mentors and projects globally) Learning Portal Access (Portal includes content that supports continuous learning) Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring and promoting all qualified individuals regardless of race, religion, colour, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
25/05/2026
Full time
Role Title: IT/Data Analyst Apprentice Location: Leeds (On-Site) Apprentice Level: UK Level 6 Degree Apprenticeship Programme Salary: £23,000 Role Mission: As an IT/Data Analyst Apprentice within our digital team focused on manufacturing, your mission is to harness data analysis and IT capabilities to enhance production processes, optimise manufacturing tools' performance, and extract valuable insights. This plays a pivotal role in advancing our digital manufacturing solutions and driving operational excellence. The Leeds plant of Schneider Electric typically focuses on manufacturing and assembling electrical distribution and control equipment, including switchgear, transformers and other components that support energy management and automation solutions. Key Responsibilities Understand the suite of digital tools used in Schneider Electric and support their deployment and utilisation. Support production in their day to day activities and their use of digital tools. Ensure data integrity, security and compliance with respect to data golden rules and cybersecurity. Collaborate with cross functional teams to understand data requirements. Develop and maintain data models and databases to support manufacturing analytics and reporting needs. Training Training Provider: University of Warwick or Leeds Beckett TBC During your apprenticeship, you will receive two different types of training. 'On the job' training will be delivered by Schneider Electric, as your employer. You'll receive training and supervision to help you perform the job you've been hired to do, including skills and knowledge that fall outside the apprenticeship but are needed for the job role. In addition to on the job training, we provide support to ensure your success, including: A comprehensive induction Mentoring or regular one to one guidance Social enrichment and networking opportunities Performance reviews Mental health and wellbeing support Feedback opportunities 'Off the job' training is delivered by one of our carefully selected training providers during your normal working hours. You will spend at least 20% (average 6 hours per week) of your working hours completing off the job training. This protected time is a requirement for apprenticeship delivery and will teach you the knowledge, skills and behaviours set out in the apprenticeship standard so you can achieve occupational competence. Work Pattern 37.5 hours per week to be worked from Monday to Friday. Exact start and finish times are to be agreed upon with Line Manager. Some of these hours will be allocated to off the job training as part of your Apprenticeship Programme. Skills and Attributes Essential Understand data sources, data manipulation and visualization. Understanding how manufacturing processes work and how data relates to them. Learning how to use databases and basic SQL for managing manufacturing data. Communicating technical ideas clearly to others. Desirable Adaptable to resolve complex problems. Flexible to react to fast paced production environment. Inquisitive to understand manufacturing processes, digital tools and their relationship. Education Entry to the programme of study is through demonstration of a minimum of 112 tariff points. Applicants must also hold 5 GCSE grades including Maths, English and an additional STEM subject at grades C/4 or above. Disciplines studied post GCSE must include any Engineering or relevant STEM subjects (Physics recommended). In addition to the required entry tariff applicants must also have achieved an A level in Maths at grade B. Previous Experience Required No pre requisite experience required. Visa Sponsorship Please note that we are unfortunately unable to provide visa sponsorship for our apprenticeship positions. Additionally, certain visa types may not meet the eligibility criteria for apprenticeship funding under current government guidelines. Benefits Competitive Salary & Attractive Bonus Scheme Employee Share Ownership Programme Pension Scheme & Generous Life Assurance 28 Days Annual Leave + Public Holidays Holiday Buy Programme Flexible Working Arrangements (Role Dependent) Hybrid Working Arrangements (Role Dependent) Access to Health & Wellbeing Support Volunteering Opportunities Access to Employee Discounts (including Fitness, Shopping & Dining) SE Career Hub Portal Access (Portal includes view of internal job opportunities, mentors and projects globally) Learning Portal Access (Portal includes content that supports continuous learning) Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring and promoting all qualified individuals regardless of race, religion, colour, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
Ref 85857 Programme England DXD Data Data, Analytics & AI AI & Digital Support Level 3 Area of interest IT Working location Victrex Technology Centre, Hillhouse International, Thornton Cleveleys, Lancashire, FY5 4QD Salary £20,000 per annum Closing date 17/06/2026 We are looking for an apprentice IT Support Technician to join our IT team. With big ambitions for the future there has never been a better time to join Victrex! You'll receive first class, on the job, training from a dedicated team, whilst earning a competitive salary - not to mention an industry recognised qualification too. This opportunity is much more than a job - it is a development programme that has all the hallmarks to kickstart your career within a business which has a very exciting agenda. You will be joining a community of apprentices, who not only have the ability to drive positive change through the work they do on the job, but also shaping a culture where everybody at Victrex thrives. Therefore, whether you are interested in joining one of our Employee Representation Groups (ERG's), becoming an ally, or support our STEM agenda, we'll support you with your goals. Responsibilities In this role you'll help your organisation make the most of its digital tools, systems, and communication technologies. As more services and processes move online, businesses increasingly rely on people who can support digital operations, troubleshoot problems, and guide colleagues through digital processes. During your apprenticeship, you'll focus on supporting internal users across the organisation. You'll help colleagues use digital tools effectively, train them on new or updated technologies, and provide support when issues arise. You'll also contribute to digital improvement and change projects that help the organisation adapt to evolving technology. In your day to day work, you'll interact with a wide range of colleagues who use digital systems. You'll communicate across digital channels, phone, and sometimes face to face, using your growing knowledge to resolve issues and identify when a problem needs escalating. You'll work under general guidance while planning and managing your own tasks, meeting deadlines, and following relevant standards and procedures. As you progress, you may influence colleagues, supervise tasks, or support different stages of digital projects. You'll develop strong communication, problem solving, and organisational skills-alongside hands on experience with collaborative technologies, digital information systems, and productivity tools. Throughout your apprenticeship, your role will be to help people across the organisation use digital systems confidently and effectively Analytical skills Entry requirements 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject. GCSE Maths and English (or equivalents) at grades 3+ (D or above). Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship in a similar subject. You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. Working hours 40 hours per week Benefits Competitive salary with annual bonus potential Flexible working hours and hybrid working options Generous annual leave allowance with option to buy extra days Private medical insurance Pension scheme with employer contributions
24/05/2026
Full time
Ref 85857 Programme England DXD Data Data, Analytics & AI AI & Digital Support Level 3 Area of interest IT Working location Victrex Technology Centre, Hillhouse International, Thornton Cleveleys, Lancashire, FY5 4QD Salary £20,000 per annum Closing date 17/06/2026 We are looking for an apprentice IT Support Technician to join our IT team. With big ambitions for the future there has never been a better time to join Victrex! You'll receive first class, on the job, training from a dedicated team, whilst earning a competitive salary - not to mention an industry recognised qualification too. This opportunity is much more than a job - it is a development programme that has all the hallmarks to kickstart your career within a business which has a very exciting agenda. You will be joining a community of apprentices, who not only have the ability to drive positive change through the work they do on the job, but also shaping a culture where everybody at Victrex thrives. Therefore, whether you are interested in joining one of our Employee Representation Groups (ERG's), becoming an ally, or support our STEM agenda, we'll support you with your goals. Responsibilities In this role you'll help your organisation make the most of its digital tools, systems, and communication technologies. As more services and processes move online, businesses increasingly rely on people who can support digital operations, troubleshoot problems, and guide colleagues through digital processes. During your apprenticeship, you'll focus on supporting internal users across the organisation. You'll help colleagues use digital tools effectively, train them on new or updated technologies, and provide support when issues arise. You'll also contribute to digital improvement and change projects that help the organisation adapt to evolving technology. In your day to day work, you'll interact with a wide range of colleagues who use digital systems. You'll communicate across digital channels, phone, and sometimes face to face, using your growing knowledge to resolve issues and identify when a problem needs escalating. You'll work under general guidance while planning and managing your own tasks, meeting deadlines, and following relevant standards and procedures. As you progress, you may influence colleagues, supervise tasks, or support different stages of digital projects. You'll develop strong communication, problem solving, and organisational skills-alongside hands on experience with collaborative technologies, digital information systems, and productivity tools. Throughout your apprenticeship, your role will be to help people across the organisation use digital systems confidently and effectively Analytical skills Entry requirements 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject. GCSE Maths and English (or equivalents) at grades 3+ (D or above). Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship in a similar subject. You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. Working hours 40 hours per week Benefits Competitive salary with annual bonus potential Flexible working hours and hybrid working options Generous annual leave allowance with option to buy extra days Private medical insurance Pension scheme with employer contributions
Overview Lead Delivery Excellence. Enable Project Success. Engineer a Better future! At AtkinsRéalis, our Delivery Insights capability helps secure government clients understand how their projects and programmes are performing, using data, analysis and clear reporting to support better decision making. This role is primarily aimed at early career and developing professionals who enjoy working with data, digital tools and structured information, and who are interested in how projects and programmes are delivered. You do not need to be a PMO specialist to apply. We are looking for people with strong technical and transferable skills, curiosity, and the ability to turn information into meaningful insight. You'll join a supportive team of analysts, delivery professionals and PMO specialists, where you'll build hands on experience in delivery environments while developing your confidence, capability and career. You'll benefit from Purpose driven work supporting nationally significant secure government programmes. Structured development in delivery insight, reporting, and data visualisation. Hands on experience using tools such as Excel, Power BI, SharePoint and delivery analytics platforms. Coaching and mentoring from experienced Delivery Insights and delivery professionals. Opportunities to develop transferable skills in communication, analysis and stakeholder engagement. Hybrid working, with on site time required to access secure systems and collaborate effectively. A culture built on psychological safety, inclusivity and continual learning. Your role As a Delivery Insights Analyst, you'll support project and programme teams by helping them understand delivery data and information. You'll contribute to the creation and maintenance of dashboards, reports and insight products that enable teams to track performance, identify risks and make informed decisions. Working alongside experienced practitioners, you'll learn how delivery environments operate and how data relating to schedule, cost, risk, performance, resources and benefits is used. You'll help shape clear and accurate "delivery stories", explaining what the data shows, why it matters, and what might need attention. As your experience grows, you'll take increasing ownership of insight outputs, build confidence engaging with stakeholders, and develop deeper capability in delivery insight and reporting. In this role, you will Collect, validate and interpret delivery related data from multiple sources. Support the production of dashboards, reports and insight outputs. Maintain regular reporting cycles that support delivery oversight and governance. Help identify trends, emerging risks or areas of concern in delivery data. Work with delivery and PMO colleagues to understand the context behind the data. Support planning, scheduling, financial monitoring and performance tracking through insight. Contribute to improving reporting approaches, templates and data structures. Communicate insights clearly using visuals, summaries and simple narrative. Build effective working relationships within multi disciplinary delivery teams. All our roles are subject to a minimum of 3 days in the office, either onsite with our clients or at one of our AtkinsRéalis offices, (pro rated for part time employees). These particular roles are based in Cheltenham and we are looking for candidates who can commit to being onsite in Cheltenham for a minimum of 3 days per week. About you We're looking for people who combine analytical capability with curiosity, communication skills and a desire to learn. Mindset & Behaviours A proactive, organised and collaborative approach. Curiosity about how projects, programmes and organisations work. Willingness to ask questions and seek understanding. Attention to detail and an interest in accuracy. Openness to feedback and learning new skills. Skills & Experience Confidence working with data, numbers or digital tools. Basic to intermediate Excel skills (e.g. formulas, lookups, charts). Interest in data analysis, reporting or insight. Ability to explain information clearly, verbally and visually. Exposure to Power BI or similar tools is desirable but not essential. Awareness of project, programme or delivery environments is helpful, but not required at entry level. Relevant experience may include university projects, apprenticeships, internships or early career roles in analysis, operations, digital, engineering or business support. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Be rewarded. Find out more. About AtkinsRéalis We're AtkinsRéalis, a world class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
24/05/2026
Full time
Overview Lead Delivery Excellence. Enable Project Success. Engineer a Better future! At AtkinsRéalis, our Delivery Insights capability helps secure government clients understand how their projects and programmes are performing, using data, analysis and clear reporting to support better decision making. This role is primarily aimed at early career and developing professionals who enjoy working with data, digital tools and structured information, and who are interested in how projects and programmes are delivered. You do not need to be a PMO specialist to apply. We are looking for people with strong technical and transferable skills, curiosity, and the ability to turn information into meaningful insight. You'll join a supportive team of analysts, delivery professionals and PMO specialists, where you'll build hands on experience in delivery environments while developing your confidence, capability and career. You'll benefit from Purpose driven work supporting nationally significant secure government programmes. Structured development in delivery insight, reporting, and data visualisation. Hands on experience using tools such as Excel, Power BI, SharePoint and delivery analytics platforms. Coaching and mentoring from experienced Delivery Insights and delivery professionals. Opportunities to develop transferable skills in communication, analysis and stakeholder engagement. Hybrid working, with on site time required to access secure systems and collaborate effectively. A culture built on psychological safety, inclusivity and continual learning. Your role As a Delivery Insights Analyst, you'll support project and programme teams by helping them understand delivery data and information. You'll contribute to the creation and maintenance of dashboards, reports and insight products that enable teams to track performance, identify risks and make informed decisions. Working alongside experienced practitioners, you'll learn how delivery environments operate and how data relating to schedule, cost, risk, performance, resources and benefits is used. You'll help shape clear and accurate "delivery stories", explaining what the data shows, why it matters, and what might need attention. As your experience grows, you'll take increasing ownership of insight outputs, build confidence engaging with stakeholders, and develop deeper capability in delivery insight and reporting. In this role, you will Collect, validate and interpret delivery related data from multiple sources. Support the production of dashboards, reports and insight outputs. Maintain regular reporting cycles that support delivery oversight and governance. Help identify trends, emerging risks or areas of concern in delivery data. Work with delivery and PMO colleagues to understand the context behind the data. Support planning, scheduling, financial monitoring and performance tracking through insight. Contribute to improving reporting approaches, templates and data structures. Communicate insights clearly using visuals, summaries and simple narrative. Build effective working relationships within multi disciplinary delivery teams. All our roles are subject to a minimum of 3 days in the office, either onsite with our clients or at one of our AtkinsRéalis offices, (pro rated for part time employees). These particular roles are based in Cheltenham and we are looking for candidates who can commit to being onsite in Cheltenham for a minimum of 3 days per week. About you We're looking for people who combine analytical capability with curiosity, communication skills and a desire to learn. Mindset & Behaviours A proactive, organised and collaborative approach. Curiosity about how projects, programmes and organisations work. Willingness to ask questions and seek understanding. Attention to detail and an interest in accuracy. Openness to feedback and learning new skills. Skills & Experience Confidence working with data, numbers or digital tools. Basic to intermediate Excel skills (e.g. formulas, lookups, charts). Interest in data analysis, reporting or insight. Ability to explain information clearly, verbally and visually. Exposure to Power BI or similar tools is desirable but not essential. Awareness of project, programme or delivery environments is helpful, but not required at entry level. Relevant experience may include university projects, apprenticeships, internships or early career roles in analysis, operations, digital, engineering or business support. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Be rewarded. Find out more. About AtkinsRéalis We're AtkinsRéalis, a world class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
McKinsey & Company, Inc.
City Of Westminster, London
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
24/05/2026
Full time
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
PMO Data & Reporting AnalystApplylocations: GB.Cheltenham.Cheltenham Housetime type: Full timeposted on: Posted Todayjob requisition id: R-155909 Job Description Overview Lead Delivery Excellence. Enable Project Success. Engineer a Better future! At AtkinsRéalis, our Delivery Insights capability helps secure government clients understand how their projects and programmes are performing, using data, analysis and clear reporting to support better decision making.This role is primarily aimed at early career and developing professionals who enjoy working with data, digital tools and structured information, and who are interested in how projects and programmes are delivered. You do not need to be a PMO specialist to apply. We are looking for people with strong technical and transferable skills, curiosity, and the ability to turn information into meaningful insight.You'll join a supportive team of analysts, delivery professionals and PMO specialists, where you'll build hands on experience in delivery environments while developing your confidence, capability and career. You'll benefit from Purpose driven work supporting nationally significant secure government programmes. Structured development in delivery insight, reporting, and data visualisation. Hands on experience using tools such as Excel, Power BI, SharePoint and delivery analytics platforms. Coaching and mentoring from experienced Delivery Insights and delivery professionals. Opportunities to develop transferable skills in communication, analysis and stakeholder engagement. Hybrid working, with on site time required to access secure systems and collaborate effectively. A culture built on psychological safety, inclusivity and continual learning. Your roleAs a Delivery Insights Analyst, you'll support project and programme teams by helping them understand delivery data and information. You'll contribute to the creation and maintenance of dashboards, reports and insight products that enable teams to track performance, identify risks and make informed decisions.Working alongside experienced practitioners, you'll learn how delivery environments operate and how data relating to schedule, cost, risk, performance, resources and benefits is used. You'll help shape clear and accurate "delivery stories", explaining what the data shows, why it matters, and what might need attention.As your experience grows, you'll take increasing ownership of insight outputs, build confidence engaging with stakeholders, and develop deeper capability in delivery insight and reporting. In this role, you will Collect, validate and interpret delivery related data from multiple sources. Support the production of dashboards, reports and insight outputs. Maintain regular reporting cycles that support delivery oversight and governance. Help identify trends, emerging risks or areas of concern in delivery data. Work with delivery and PMO colleagues to understand the context behind the data. Support planning, scheduling, financial monitoring and performance tracking through insight. Contribute to improving reporting approaches, templates and data structures. Communicate insights clearly using visuals, summaries and simple narrative. Build effective working relationships within multi disciplinary delivery teams.All our roles are subject to a minimum of 3 days in the office, either onsite with our clients or at one of our AtkinsRéalis offices, (pro-rata'd for part-time employees). These particular roles are based in Cheltenham and we are looking for candidates who can commit to being onsite in Cheltenham for a minimum of 3 days per week. About youWe're looking for people who combine analytical capability with curiosity, communication skills and a desire to learn. Mindset & Behaviours A proactive, organised and collaborative approach. Curiosity about how projects, programmes and organisations work. Willingness to ask questions and seek understanding. Attention to detail and an interest in accuracy. Openness to feedback and learning new skills. Skills & Experience Confidence working with data, numbers or digital tools. Basic to intermediate Excel skills (e.g. formulas, lookups, charts). Interest in data analysis, reporting or insight. Ability to explain information clearly, verbally and visually. Exposure to Power BI or similar tools is desirable but not essential. Awareness of project, programme or delivery environments is helpful, but not required at entry level. Relevant experience may include university projects, apprenticeships, internships or early career roles in analysis, operations, digital, engineering or business support. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Be rewarded. Find out more. About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
23/05/2026
Full time
PMO Data & Reporting AnalystApplylocations: GB.Cheltenham.Cheltenham Housetime type: Full timeposted on: Posted Todayjob requisition id: R-155909 Job Description Overview Lead Delivery Excellence. Enable Project Success. Engineer a Better future! At AtkinsRéalis, our Delivery Insights capability helps secure government clients understand how their projects and programmes are performing, using data, analysis and clear reporting to support better decision making.This role is primarily aimed at early career and developing professionals who enjoy working with data, digital tools and structured information, and who are interested in how projects and programmes are delivered. You do not need to be a PMO specialist to apply. We are looking for people with strong technical and transferable skills, curiosity, and the ability to turn information into meaningful insight.You'll join a supportive team of analysts, delivery professionals and PMO specialists, where you'll build hands on experience in delivery environments while developing your confidence, capability and career. You'll benefit from Purpose driven work supporting nationally significant secure government programmes. Structured development in delivery insight, reporting, and data visualisation. Hands on experience using tools such as Excel, Power BI, SharePoint and delivery analytics platforms. Coaching and mentoring from experienced Delivery Insights and delivery professionals. Opportunities to develop transferable skills in communication, analysis and stakeholder engagement. Hybrid working, with on site time required to access secure systems and collaborate effectively. A culture built on psychological safety, inclusivity and continual learning. Your roleAs a Delivery Insights Analyst, you'll support project and programme teams by helping them understand delivery data and information. You'll contribute to the creation and maintenance of dashboards, reports and insight products that enable teams to track performance, identify risks and make informed decisions.Working alongside experienced practitioners, you'll learn how delivery environments operate and how data relating to schedule, cost, risk, performance, resources and benefits is used. You'll help shape clear and accurate "delivery stories", explaining what the data shows, why it matters, and what might need attention.As your experience grows, you'll take increasing ownership of insight outputs, build confidence engaging with stakeholders, and develop deeper capability in delivery insight and reporting. In this role, you will Collect, validate and interpret delivery related data from multiple sources. Support the production of dashboards, reports and insight outputs. Maintain regular reporting cycles that support delivery oversight and governance. Help identify trends, emerging risks or areas of concern in delivery data. Work with delivery and PMO colleagues to understand the context behind the data. Support planning, scheduling, financial monitoring and performance tracking through insight. Contribute to improving reporting approaches, templates and data structures. Communicate insights clearly using visuals, summaries and simple narrative. Build effective working relationships within multi disciplinary delivery teams.All our roles are subject to a minimum of 3 days in the office, either onsite with our clients or at one of our AtkinsRéalis offices, (pro-rata'd for part-time employees). These particular roles are based in Cheltenham and we are looking for candidates who can commit to being onsite in Cheltenham for a minimum of 3 days per week. About youWe're looking for people who combine analytical capability with curiosity, communication skills and a desire to learn. Mindset & Behaviours A proactive, organised and collaborative approach. Curiosity about how projects, programmes and organisations work. Willingness to ask questions and seek understanding. Attention to detail and an interest in accuracy. Openness to feedback and learning new skills. Skills & Experience Confidence working with data, numbers or digital tools. Basic to intermediate Excel skills (e.g. formulas, lookups, charts). Interest in data analysis, reporting or insight. Ability to explain information clearly, verbally and visually. Exposure to Power BI or similar tools is desirable but not essential. Awareness of project, programme or delivery environments is helpful, but not required at entry level. Relevant experience may include university projects, apprenticeships, internships or early career roles in analysis, operations, digital, engineering or business support. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Be rewarded. Find out more. About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master's degree in a subject such as Data Science, Business Analytics, Maths will not be eligible. You will also need to commit to completing a Level 4 Data Analyst Apprenticeship. The Role As a data analyst, you would collect numerical information and present results. Usually this would be in the form of reports, graphs and charts. The data can involve Customers, Tendering, Revenue & Costs or Logistics and be used to boost productivity / revenue, improve decision making and reduce costs. This is a brand new role in a rapidly growing business, so you will be working with the Finance Director and Commercial manager to build a reporting structure from the ground up. You will also get the opportunity to enter into a Data apprenticeship with formal study and training. You will gain / improve skills in SQL, Data visualisation, Advanced BI and Machine learning. Key Responsibilities Work with Business management to design & build reporting dashboards. Interpret data, analyse results and provide ongoing reports with actionable output. Help to automate manual processes within the Commercial, Finance and Operational teams involving data. Identify, analyse and interpret trends or patterns in complex datasets. Locate and define new process improvement opportunities. Candidate Profile A proven interest in a career in data analysis (this could be from formal studies, self study or the workplace) A proven passion for data / numbers (this could be from formal studies, self study or the workplace) Proficient in Microsoft Office including Word, Excel, and Outlook. Open minded and supportive team player with strong communication skills. Proficient at prioritising tasks and consistently meeting deadlines. Ability to identify process improvements and help implement solutions. Ability to work as part of a team and independently. An eye for detail and commercially aware. Experience of using data tools such as SQL, Python, PowerBI (or equivalent) preferable but not essential. Essential Qualifications 7 GCSE's (or equivalent) at grades 9-4 or A-C including English and Mathematics 3 A Levels at grades A - C (or equivalent) in STEM subjects Applications are encouraged from graduates looking for an apprenticeship route to a Data Analytics career. Salary: £25,000 Location: Podington (NN29 7XA) Please note, this is an office based role and the location is rural with no public transport options. Therefore, the successful candidate will be required to have access to a personal vehicle and it is anticipated that the successful candidate will have a commute of no more than 1hr 15 minutes. The company We are entering a period of significant growth and are seeking likeminded people who aspire to grow with us and be part of our exciting journey. In return, we offer a collaborative working environment where we actively encourage and support continuous improvement and career development. By applying you are agreeing to Digital Native retaining your information, sharing this with potential employers and contacting you about apprenticeship opportunities that we feel you could be interested in. Candidates that have read and followed the advice in our CV Guide are more likely to be successful
22/05/2026
Full time
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master's degree in a subject such as Data Science, Business Analytics, Maths will not be eligible. You will also need to commit to completing a Level 4 Data Analyst Apprenticeship. The Role As a data analyst, you would collect numerical information and present results. Usually this would be in the form of reports, graphs and charts. The data can involve Customers, Tendering, Revenue & Costs or Logistics and be used to boost productivity / revenue, improve decision making and reduce costs. This is a brand new role in a rapidly growing business, so you will be working with the Finance Director and Commercial manager to build a reporting structure from the ground up. You will also get the opportunity to enter into a Data apprenticeship with formal study and training. You will gain / improve skills in SQL, Data visualisation, Advanced BI and Machine learning. Key Responsibilities Work with Business management to design & build reporting dashboards. Interpret data, analyse results and provide ongoing reports with actionable output. Help to automate manual processes within the Commercial, Finance and Operational teams involving data. Identify, analyse and interpret trends or patterns in complex datasets. Locate and define new process improvement opportunities. Candidate Profile A proven interest in a career in data analysis (this could be from formal studies, self study or the workplace) A proven passion for data / numbers (this could be from formal studies, self study or the workplace) Proficient in Microsoft Office including Word, Excel, and Outlook. Open minded and supportive team player with strong communication skills. Proficient at prioritising tasks and consistently meeting deadlines. Ability to identify process improvements and help implement solutions. Ability to work as part of a team and independently. An eye for detail and commercially aware. Experience of using data tools such as SQL, Python, PowerBI (or equivalent) preferable but not essential. Essential Qualifications 7 GCSE's (or equivalent) at grades 9-4 or A-C including English and Mathematics 3 A Levels at grades A - C (or equivalent) in STEM subjects Applications are encouraged from graduates looking for an apprenticeship route to a Data Analytics career. Salary: £25,000 Location: Podington (NN29 7XA) Please note, this is an office based role and the location is rural with no public transport options. Therefore, the successful candidate will be required to have access to a personal vehicle and it is anticipated that the successful candidate will have a commute of no more than 1hr 15 minutes. The company We are entering a period of significant growth and are seeking likeminded people who aspire to grow with us and be part of our exciting journey. In return, we offer a collaborative working environment where we actively encourage and support continuous improvement and career development. By applying you are agreeing to Digital Native retaining your information, sharing this with potential employers and contacting you about apprenticeship opportunities that we feel you could be interested in. Candidates that have read and followed the advice in our CV Guide are more likely to be successful
ASVA: Association of Scottish Visitor Attractions
Edinburgh, Midlothian
The National Trust for Scotland is seeking a candidate for a role focused on providing a Diploma in Data Analytics. This position involves supporting the Insights Manager in managing data related to the Mackintosh Illuminated Project, allowing for hands-on experience in data management and analysis. The ideal candidate will possess analytical skills and be able to effectively communicate complex ideas. Training will be provided in various data tools, including Excel and Power BI, to support the Trust's objectives.
21/05/2026
Full time
The National Trust for Scotland is seeking a candidate for a role focused on providing a Diploma in Data Analytics. This position involves supporting the Insights Manager in managing data related to the Mackintosh Illuminated Project, allowing for hands-on experience in data management and analysis. The ideal candidate will possess analytical skills and be able to effectively communicate complex ideas. Training will be provided in various data tools, including Excel and Power BI, to support the Trust's objectives.
ASVA: Association of Scottish Visitor Attractions
Edinburgh, Midlothian
Organisation: The National Trust for Scotland Location: 50 South Gyle Crescent, Edinburgh EH12 9LD Job purpose This role provides a Diploma in Data Analytics (SCQF Level 8) and works with the Insight Manager to support the collection, management, analysis and reporting of audience and project data primarily related to the Mackintosh Illuminated Project. The work will help guide decision makers and support robust reporting across the project workstreams. Through hands on experience and structured learning, the incumbent will gain skills in data collection, management, analysis and reporting, giving them a strong foundation for a career uncovering insight from data. The role is part of the Audiences & Support Directorate and there is flexibility in the role location. Key responsibilities and accountabilities Support the identification and understanding of key audiences related to the Trust and the Mackintosh Illuminated Project in particular. Learn to use a variety of data analysis tools (Excel, SQL, Python, Power BI) to help answer business questions. Work with the Insights Manager to improve end to end audience research including data collection, storage, transformation, modelling and reporting. Contribute to Mackintosh Illuminated project reporting as required. Work with the Mackintosh Illuminated project team and a range of Audience and Support, Public Engagement and Research and IT colleagues. Gain credits for the diploma including: Supporting Digital Business Transformation Applying Methods and Principles in Project Management Developing Meta Skills and Personal Professionalism Managing Data Assets Planning Data Analysis Locating and Accessing Data Sources Transforming Data for Analysis Analysing Data Visualising and Communicating Data Implementing Machine Learning Models Required qualifications, skills, experience & knowledge Qualifications Essential Participating in the SCQF Level 8 Diploma in Data Analytics as part of this role. National 5 (or equivalent) in Mathematics or IT related subject. National 5 (or equivalent) in English. Desirable Interest in heritage and conservation. The current duties of this job do not require a criminal records (Disclosure Scotland) check to be carried out. Experience Essential Excellent analytical and numeracy skills and attention to detail. IT literacy and familiarity with data analysis tools (principally Excel) and the ability to pick up other tools as appropriate. Demonstrable experience of our core values (brave, caring, curious, inclusive, vibrant). Strong teamworking skills. Good communication skills with the ability to effectively communicate complex ideas. Ability to manage time efficiently and effectively in an environment of changing priorities. Desirable Passion for data and uncovering meaningful insights. Dimensions and scope of job People Management No line management responsibility. Close working relationship with A&S, property teams and other Directorates. Financial Management None. Tools / equipment / systems Training will be provided for all the below: Microsoft Office systems including OneDrive, Teams, Excel Core NTS Survey platforms (MS Forms, Snap Survey) SQL and Microsoft Azure Data analysis and visualization tools (Power BI, Python) Key performance indicators and targets Contributes to key objectives of the Insights function such as survey data collected, projects completed and unique users to the Audience and Insights SharePoint Hub. Contributes to A&S KPI through supporting membership and marketing work with actionable insight. Completion of all coursework and assignments for SCQF Level 6 Diploma in Digital Marketing.
21/05/2026
Full time
Organisation: The National Trust for Scotland Location: 50 South Gyle Crescent, Edinburgh EH12 9LD Job purpose This role provides a Diploma in Data Analytics (SCQF Level 8) and works with the Insight Manager to support the collection, management, analysis and reporting of audience and project data primarily related to the Mackintosh Illuminated Project. The work will help guide decision makers and support robust reporting across the project workstreams. Through hands on experience and structured learning, the incumbent will gain skills in data collection, management, analysis and reporting, giving them a strong foundation for a career uncovering insight from data. The role is part of the Audiences & Support Directorate and there is flexibility in the role location. Key responsibilities and accountabilities Support the identification and understanding of key audiences related to the Trust and the Mackintosh Illuminated Project in particular. Learn to use a variety of data analysis tools (Excel, SQL, Python, Power BI) to help answer business questions. Work with the Insights Manager to improve end to end audience research including data collection, storage, transformation, modelling and reporting. Contribute to Mackintosh Illuminated project reporting as required. Work with the Mackintosh Illuminated project team and a range of Audience and Support, Public Engagement and Research and IT colleagues. Gain credits for the diploma including: Supporting Digital Business Transformation Applying Methods and Principles in Project Management Developing Meta Skills and Personal Professionalism Managing Data Assets Planning Data Analysis Locating and Accessing Data Sources Transforming Data for Analysis Analysing Data Visualising and Communicating Data Implementing Machine Learning Models Required qualifications, skills, experience & knowledge Qualifications Essential Participating in the SCQF Level 8 Diploma in Data Analytics as part of this role. National 5 (or equivalent) in Mathematics or IT related subject. National 5 (or equivalent) in English. Desirable Interest in heritage and conservation. The current duties of this job do not require a criminal records (Disclosure Scotland) check to be carried out. Experience Essential Excellent analytical and numeracy skills and attention to detail. IT literacy and familiarity with data analysis tools (principally Excel) and the ability to pick up other tools as appropriate. Demonstrable experience of our core values (brave, caring, curious, inclusive, vibrant). Strong teamworking skills. Good communication skills with the ability to effectively communicate complex ideas. Ability to manage time efficiently and effectively in an environment of changing priorities. Desirable Passion for data and uncovering meaningful insights. Dimensions and scope of job People Management No line management responsibility. Close working relationship with A&S, property teams and other Directorates. Financial Management None. Tools / equipment / systems Training will be provided for all the below: Microsoft Office systems including OneDrive, Teams, Excel Core NTS Survey platforms (MS Forms, Snap Survey) SQL and Microsoft Azure Data analysis and visualization tools (Power BI, Python) Key performance indicators and targets Contributes to key objectives of the Insights function such as survey data collected, projects completed and unique users to the Audience and Insights SharePoint Hub. Contributes to A&S KPI through supporting membership and marketing work with actionable insight. Completion of all coursework and assignments for SCQF Level 6 Diploma in Digital Marketing.
Solus Accident Repair Centres Company
Stansted, Essex
Overview Hybrid with 2 days in our Stansted office. We are looking for an expert to lead the way in the innovation of the data analysis tools, automation and infrastructure within our Microsoft technology stack for our Award-Winning Accident Repair Network. Our mission is to develop the tools and technology that enable our teams to get our customers back to normal and we are often looking to cutting edge solutions to achieve this. The candidate will be reporting into our Platform Manager and working with our Systems Architect and Product Team to not only lead in the development of automation and Power Platform solutions for our business but also to support our bespoke award-winning IT system; as such this role is fundamental to our growth and success. Responsibilities As a Senior Azure Cloud Engineer, you will support and enable the Microsoft Technology Stack through IT Change, troubleshoot IT Problems, following ITIL v4 guidelines in this cutting edge and highly secure environment. You will support our technical environment, which includes Microsoft technologies, Meraki networking, SaaS solutions (including our own bespoke workshop management system) with much of the access managed by Single Sign-on (SSO). You will be passionate about technology and understand business systems and solutions. Work with the Systems Architect to design, implement, and maintain solutions within our Microsoft Technical Stack. Work with stakeholders to devise improvements to their teams' processes with Power Platforms and automation. Assist with IT Change and Problem Management following ITIL v4 guidelines, using advanced troubleshooting and problem solving skills and working closely with internal colleagues and external suppliers in resolving issues promptly. Support IT governance, ensuring security best practices and disaster recovery plans are followed and raise concerns, risks and cyber incidents to the IT leadership team. Maintain detailed documentation for system configuration, procedures and troubleshooting and work with the Helpdesk team to remove blockers to resolve incidents and process service requests. Provide guidance and support to the wider IT team on infrastructure design and build and provide information regarding system/device performance and error logs. Must be able to commute to the Stansted office as this role is hybrid 2 days a week in the office. Be innovative in exploring new technologies that can help develop skills and competencies in the business and for individuals. What do I need to know? Cloud Platform Engineering Be able to design, implement and maintain Azure infrastructure across compute, storage, networking, and identity services. Be able to manage and maintain secure, scalable, and highly available cloud platforms aligned to the Azure Well Architected Framework. Know how to implement and maintain Azure landing zones, subscriptions, and management groups. Security, Governance & Resilience Ensure platforms comply with security, compliance, and governance standards (e.g. RBAC, Key Vault, network security, logging). Apply best practices for cost control, monitoring, and operational resilience. Be able to support DR, backup, and business continuity designs across Azure workloads. Collaboration & Architecture Work closely with solution architect, product team, and security team to align cloud solutions with business needs. Provide input into Technical Design Authority, Change Steering Groups, architecture reviews, and project delivery. Produce and maintain clear technical documentation. Qualifications Strong hands on experience with Microsoft Azure, including: Azure Virtual Networks, VMs, Storage, Azure AD. PaaS services (App Services, Functions, Logic Apps, SQL, etc.). Monitoring and logging (Azure Monitor, Log Analytics). Scripting skills using PowerShell, Azure CLI, Bash, or Python.l Good understanding of networking, security, and identity in cloud environments. Minimum three years' experience in a similar role. Experience of working within the ITIL v4 or 5 frameworks. Relevant Apprenticeship or higher education. Any of the following qualifications would be advantageous: Microsoft Azure Administrator Associate AZ-104 Microsoft Azure Developer Associate AZ-204 Microsoft Azure Network Engineer Associate AZ-700 Microsoft Azure Solutions Architect Expert AZ-305 Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know.
21/05/2026
Full time
Overview Hybrid with 2 days in our Stansted office. We are looking for an expert to lead the way in the innovation of the data analysis tools, automation and infrastructure within our Microsoft technology stack for our Award-Winning Accident Repair Network. Our mission is to develop the tools and technology that enable our teams to get our customers back to normal and we are often looking to cutting edge solutions to achieve this. The candidate will be reporting into our Platform Manager and working with our Systems Architect and Product Team to not only lead in the development of automation and Power Platform solutions for our business but also to support our bespoke award-winning IT system; as such this role is fundamental to our growth and success. Responsibilities As a Senior Azure Cloud Engineer, you will support and enable the Microsoft Technology Stack through IT Change, troubleshoot IT Problems, following ITIL v4 guidelines in this cutting edge and highly secure environment. You will support our technical environment, which includes Microsoft technologies, Meraki networking, SaaS solutions (including our own bespoke workshop management system) with much of the access managed by Single Sign-on (SSO). You will be passionate about technology and understand business systems and solutions. Work with the Systems Architect to design, implement, and maintain solutions within our Microsoft Technical Stack. Work with stakeholders to devise improvements to their teams' processes with Power Platforms and automation. Assist with IT Change and Problem Management following ITIL v4 guidelines, using advanced troubleshooting and problem solving skills and working closely with internal colleagues and external suppliers in resolving issues promptly. Support IT governance, ensuring security best practices and disaster recovery plans are followed and raise concerns, risks and cyber incidents to the IT leadership team. Maintain detailed documentation for system configuration, procedures and troubleshooting and work with the Helpdesk team to remove blockers to resolve incidents and process service requests. Provide guidance and support to the wider IT team on infrastructure design and build and provide information regarding system/device performance and error logs. Must be able to commute to the Stansted office as this role is hybrid 2 days a week in the office. Be innovative in exploring new technologies that can help develop skills and competencies in the business and for individuals. What do I need to know? Cloud Platform Engineering Be able to design, implement and maintain Azure infrastructure across compute, storage, networking, and identity services. Be able to manage and maintain secure, scalable, and highly available cloud platforms aligned to the Azure Well Architected Framework. Know how to implement and maintain Azure landing zones, subscriptions, and management groups. Security, Governance & Resilience Ensure platforms comply with security, compliance, and governance standards (e.g. RBAC, Key Vault, network security, logging). Apply best practices for cost control, monitoring, and operational resilience. Be able to support DR, backup, and business continuity designs across Azure workloads. Collaboration & Architecture Work closely with solution architect, product team, and security team to align cloud solutions with business needs. Provide input into Technical Design Authority, Change Steering Groups, architecture reviews, and project delivery. Produce and maintain clear technical documentation. Qualifications Strong hands on experience with Microsoft Azure, including: Azure Virtual Networks, VMs, Storage, Azure AD. PaaS services (App Services, Functions, Logic Apps, SQL, etc.). Monitoring and logging (Azure Monitor, Log Analytics). Scripting skills using PowerShell, Azure CLI, Bash, or Python.l Good understanding of networking, security, and identity in cloud environments. Minimum three years' experience in a similar role. Experience of working within the ITIL v4 or 5 frameworks. Relevant Apprenticeship or higher education. Any of the following qualifications would be advantageous: Microsoft Azure Administrator Associate AZ-104 Microsoft Azure Developer Associate AZ-204 Microsoft Azure Network Engineer Associate AZ-700 Microsoft Azure Solutions Architect Expert AZ-305 Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know.
McKinsey & Company, Inc.
City Of Westminster, London
You will lead the development of cutting-edge AI and machine learning solutions that tackle some of the most complex business challenges across industries-delivering measurable impact at scale. In this role, you will leverage the latest advances in deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape the QuantumBlack, AI by McKinsey's R&D roadmap, and identify high-potential machine learning initiatives for industry application. Working closely with data engineers, machine learning engineers, and designers, you will build end-to-end analytics solutions that create real-world impact. Your work will transform industries. By leveraging advanced AI techniques and collaborating with industry leaders, you will help clients gain a competitive edge, solve critical challenges, and achieve lasting improvements in their operations. You will be based in London and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you'll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you will lead the development and application of cutting edge machine learning and AI solutions to drive measurable business impact. At McKinsey, you'll thrive in an unparalleled environment for growth. You'll work on high impact projects, connect technology with business value, and collaborate with inspiring multidisciplinary teams, gaining a holistic perspective of AI's transformative potential while advancing as a technologist and leader. Driving lasting impact and building long term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture-doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. Bachelors, Masters or PhD level in a discipline, such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence 5+ years of deep technical experience in distributed computing, machine learning, and statistics related work Programming experience in languages such as: Python, R, Scala, SQL Proven application of advanced analytical, data science and statistical methods in the commercial world Knowledge of distributed computing or NoSQL technologies is a bonus Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports) Willingness to travel Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
21/05/2026
Full time
You will lead the development of cutting-edge AI and machine learning solutions that tackle some of the most complex business challenges across industries-delivering measurable impact at scale. In this role, you will leverage the latest advances in deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape the QuantumBlack, AI by McKinsey's R&D roadmap, and identify high-potential machine learning initiatives for industry application. Working closely with data engineers, machine learning engineers, and designers, you will build end-to-end analytics solutions that create real-world impact. Your work will transform industries. By leveraging advanced AI techniques and collaborating with industry leaders, you will help clients gain a competitive edge, solve critical challenges, and achieve lasting improvements in their operations. You will be based in London and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you'll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you will lead the development and application of cutting edge machine learning and AI solutions to drive measurable business impact. At McKinsey, you'll thrive in an unparalleled environment for growth. You'll work on high impact projects, connect technology with business value, and collaborate with inspiring multidisciplinary teams, gaining a holistic perspective of AI's transformative potential while advancing as a technologist and leader. Driving lasting impact and building long term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture-doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. Bachelors, Masters or PhD level in a discipline, such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence 5+ years of deep technical experience in distributed computing, machine learning, and statistics related work Programming experience in languages such as: Python, R, Scala, SQL Proven application of advanced analytical, data science and statistical methods in the commercial world Knowledge of distributed computing or NoSQL technologies is a bonus Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports) Willingness to travel Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
Head of Digital Caerphilly Competitive salary + bonus About the role As Head of Digital at phs, you will lead the performance, optimisation and future direction of our digital channels, owning digital trading and driving commercial growth. You will play a pivotal role in shaping the digital roadmap, stabilising and enhancing the newly launched website, and embedding modern digital ways of working across the organisation. Responsibilities Owning digital commercial performance including revenue, conversion, margin and customer lifetime value Leading the digital trading plan aligned to business goals, marketing activity and seasonal priorities Optimising the website experience across navigation, search, merchandising and checkout Partnering with marketing, technology and external suppliers to improve performance and stability Driving digital transformation including CRO, SEO, analytics and experimentation frameworks Qualifications Must have Proven experience leading digital trading in a retail or B2B services environment Strong commercial acumen with a track record of delivering revenue growth Expertise in ecommerce, CRO, SEO, analytics and digital operations Experience stabilising and optimising newly launched digital platforms Strong stakeholder management across commercial, marketing and technology teams Ability to use data and insight to drive decisions and continuous improvement Experience working with external agencies and technology partners Experience building or developing digital teams and capability Desirable Experience in transformation or digitally evolving organisations Exposure to agile or product-led delivery models Benefits Competitive salary + bonus Company car or car allowance Virtual GP for you and your household Buy and sell holiday scheme Amazing employee discounts with major supermarkets and retailers with 'phs Perks' Training to expand your skills. We offer accredited ILM training through external and in-house training Apprenticeship opportunities 25 days holiday plus bank holidays (31 days in total) plus a Buy / Sell holiday scheme Free Parking onsite so no parking costs Other benefits such as improved parental and paternity leave, a 24-hour wellbeing helpline, cycle to work scheme, pension scheme, life assurance and more About phs phs Group was founded in 1963 and is a leading provider of hygiene services across the UK, Spain and Ireland, supporting over 90,000 customers across more than 300,000 locations. We operate across a range of specialist businesses including washrooms, healthcare, floorcare, consumables, compliance, waste management and more, all focused on helping customers create safer, more efficient and sustainable workplaces. At phs, we pride ourselves on our diverse and inclusive workforce, ensuring our people can bring their true selves to work.
21/05/2026
Full time
Head of Digital Caerphilly Competitive salary + bonus About the role As Head of Digital at phs, you will lead the performance, optimisation and future direction of our digital channels, owning digital trading and driving commercial growth. You will play a pivotal role in shaping the digital roadmap, stabilising and enhancing the newly launched website, and embedding modern digital ways of working across the organisation. Responsibilities Owning digital commercial performance including revenue, conversion, margin and customer lifetime value Leading the digital trading plan aligned to business goals, marketing activity and seasonal priorities Optimising the website experience across navigation, search, merchandising and checkout Partnering with marketing, technology and external suppliers to improve performance and stability Driving digital transformation including CRO, SEO, analytics and experimentation frameworks Qualifications Must have Proven experience leading digital trading in a retail or B2B services environment Strong commercial acumen with a track record of delivering revenue growth Expertise in ecommerce, CRO, SEO, analytics and digital operations Experience stabilising and optimising newly launched digital platforms Strong stakeholder management across commercial, marketing and technology teams Ability to use data and insight to drive decisions and continuous improvement Experience working with external agencies and technology partners Experience building or developing digital teams and capability Desirable Experience in transformation or digitally evolving organisations Exposure to agile or product-led delivery models Benefits Competitive salary + bonus Company car or car allowance Virtual GP for you and your household Buy and sell holiday scheme Amazing employee discounts with major supermarkets and retailers with 'phs Perks' Training to expand your skills. We offer accredited ILM training through external and in-house training Apprenticeship opportunities 25 days holiday plus bank holidays (31 days in total) plus a Buy / Sell holiday scheme Free Parking onsite so no parking costs Other benefits such as improved parental and paternity leave, a 24-hour wellbeing helpline, cycle to work scheme, pension scheme, life assurance and more About phs phs Group was founded in 1963 and is a leading provider of hygiene services across the UK, Spain and Ireland, supporting over 90,000 customers across more than 300,000 locations. We operate across a range of specialist businesses including washrooms, healthcare, floorcare, consumables, compliance, waste management and more, all focused on helping customers create safer, more efficient and sustainable workplaces. At phs, we pride ourselves on our diverse and inclusive workforce, ensuring our people can bring their true selves to work.
Job title Machine Learning Engineer (KTP Associate) Department Computer Science Salary Starting from £43,000, rising to £51,000depending on qualifications and experience Develop AI solutions that drive commercial business decisions We are looking for a highly capable machine learning specialist to lead the development of a next-generation retail insight platform, combining advanced analytics with real-world commercial decision-making. This is not a typical data science role! About the role This Knowledge Transfer Partnership (KTP) brings together The Tapestry Agency, a leading retail analytics consultancy, and the University of Bath, a top UK research institution in AI and machine learning. You will be at the centre of this collaboration, applying cutting edge research to build production ready AI systems that directly influence international business strategy and client outcomes. This project will bring together an exciting combination of expertise in business and marketing strategy to develop an AI powered retail insight platform that unifies a retailer's consumer data, providing affordable, real time, strategic recommendations. The project will democratise access to advanced analytics for UK retailers, supporting growth, competitiveness, and productivity while enabling Tapestry's transition to a scalable, technology led business model with international potential. This is an opportunity for you to 'fast track' your career into business by leading a high profile and strategically meaningful project to a successful conclusion, allowing you to utilise your academic achievements in an industrial setting. By joining this multidisciplinary KTP between The Tapestry Agency and the University of Bath, you will have the opportunity to work on a challenging and exciting project, using ground breaking technology with incredible team support and development opportunities. About Tapestry Tapestry is a UK based data insight and marketing strategy consultancy helping multi channel retailers grow through better use of customer data. Working with a wide range of clients, from growing SMEs to established retail brands, delivering insight across acquisition, retention and channel performance. This project represents a major step in Tapestry's evolution into a product led, AI enabled business with international growth ambitions. About you We're looking for someone who combines strong technical capability with curiosity and commercial awareness. As the KTP Associate, you will act as the project lead, responsible for delivering the full lifecycle of the project. You will: Design, develop and validate machine learning models and decision systems Work with complex, multi source retail datasets Translate technical outputs into actionable commercial insights Collaborate with engineers to embed models into a scalable platform Lead project planning, delivery and stakeholder engagement Transfer knowledge into the business through training and documentation You will be supported by: Academic experts from the University of Bath Senior leaders across analytics, technology and strategy at Tapestry Why this role is exciting This is a rare opportunity to own and deliver a high impact AI product from end to end. You won't be building isolated models, you'll be creating systems that: Are used by real clients Directly influence commercial decisions In this role, you will: Own a strategically critical project from research through to deployment and commercialisation Work at the intersection of advanced academic research and real world business application Help transform an established consultancy into a technology led SaaS business Apply machine learning, optimisation and decision systems to complex, real world datasets See your work deliver measurable impact for retail clients This role offers a unique combination of: Technical depth: advanced AI/ML development Commercial impact: direct influence on product and strategy Leadership: full ownership of a high profile project You will also benefit from: Structured KTP training and leadership development A dedicated £2,000 yearly personal development budget Mentorship from leading academics and experienced industry professionals Opportunities to publish research and build your professional profile If you're looking to move beyond pure research or engineering into a role where you can build, deploy and own impactful AI solutions, this is an exceptional opportunity. Further information This is a fixed term hybrid role for a period of 29 months at the Tapestry Agency with monthly travel to Swindon. Additional benefits of being a KTP Associate: All KTP Associates spend 10% of their time on Personal Development, making full use of a generous personal development budget Access to two 1 week residential training sessions at Ashorne Hill, aimed at developing project management skills Opportunity to gain both industry management and academic experience with mentoring from the University of Bath and internally at The Tapestry Agency Access to a wealth of academic and industrial resources Access to a Travel & Subsistence budget Access to mentoring sessions through Innovate UK Business Connect We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards genderequityand intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
21/05/2026
Full time
Job title Machine Learning Engineer (KTP Associate) Department Computer Science Salary Starting from £43,000, rising to £51,000depending on qualifications and experience Develop AI solutions that drive commercial business decisions We are looking for a highly capable machine learning specialist to lead the development of a next-generation retail insight platform, combining advanced analytics with real-world commercial decision-making. This is not a typical data science role! About the role This Knowledge Transfer Partnership (KTP) brings together The Tapestry Agency, a leading retail analytics consultancy, and the University of Bath, a top UK research institution in AI and machine learning. You will be at the centre of this collaboration, applying cutting edge research to build production ready AI systems that directly influence international business strategy and client outcomes. This project will bring together an exciting combination of expertise in business and marketing strategy to develop an AI powered retail insight platform that unifies a retailer's consumer data, providing affordable, real time, strategic recommendations. The project will democratise access to advanced analytics for UK retailers, supporting growth, competitiveness, and productivity while enabling Tapestry's transition to a scalable, technology led business model with international potential. This is an opportunity for you to 'fast track' your career into business by leading a high profile and strategically meaningful project to a successful conclusion, allowing you to utilise your academic achievements in an industrial setting. By joining this multidisciplinary KTP between The Tapestry Agency and the University of Bath, you will have the opportunity to work on a challenging and exciting project, using ground breaking technology with incredible team support and development opportunities. About Tapestry Tapestry is a UK based data insight and marketing strategy consultancy helping multi channel retailers grow through better use of customer data. Working with a wide range of clients, from growing SMEs to established retail brands, delivering insight across acquisition, retention and channel performance. This project represents a major step in Tapestry's evolution into a product led, AI enabled business with international growth ambitions. About you We're looking for someone who combines strong technical capability with curiosity and commercial awareness. As the KTP Associate, you will act as the project lead, responsible for delivering the full lifecycle of the project. You will: Design, develop and validate machine learning models and decision systems Work with complex, multi source retail datasets Translate technical outputs into actionable commercial insights Collaborate with engineers to embed models into a scalable platform Lead project planning, delivery and stakeholder engagement Transfer knowledge into the business through training and documentation You will be supported by: Academic experts from the University of Bath Senior leaders across analytics, technology and strategy at Tapestry Why this role is exciting This is a rare opportunity to own and deliver a high impact AI product from end to end. You won't be building isolated models, you'll be creating systems that: Are used by real clients Directly influence commercial decisions In this role, you will: Own a strategically critical project from research through to deployment and commercialisation Work at the intersection of advanced academic research and real world business application Help transform an established consultancy into a technology led SaaS business Apply machine learning, optimisation and decision systems to complex, real world datasets See your work deliver measurable impact for retail clients This role offers a unique combination of: Technical depth: advanced AI/ML development Commercial impact: direct influence on product and strategy Leadership: full ownership of a high profile project You will also benefit from: Structured KTP training and leadership development A dedicated £2,000 yearly personal development budget Mentorship from leading academics and experienced industry professionals Opportunities to publish research and build your professional profile If you're looking to move beyond pure research or engineering into a role where you can build, deploy and own impactful AI solutions, this is an exceptional opportunity. Further information This is a fixed term hybrid role for a period of 29 months at the Tapestry Agency with monthly travel to Swindon. Additional benefits of being a KTP Associate: All KTP Associates spend 10% of their time on Personal Development, making full use of a generous personal development budget Access to two 1 week residential training sessions at Ashorne Hill, aimed at developing project management skills Opportunity to gain both industry management and academic experience with mentoring from the University of Bath and internally at The Tapestry Agency Access to a wealth of academic and industrial resources Access to a Travel & Subsistence budget Access to mentoring sessions through Innovate UK Business Connect We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards genderequityand intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer: Free counselling services through Health Assured Cycle to work scheme Electric vehicle salary sacrifice scheme Staff discount at Team Bath gym Staff discounts on postgraduate tuition fees Staff discount on language courses Generous employer contributory pension schemes A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more Free entry to the Holburne Museum in Bath Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage. Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
Job Title: Business Development Manager Location: Remote (1 day per month in London) Salary: £40,000 + Commission Role Overview: Our client is seeking an experienced and results-driven Business Development Manager to drive employer engagement and generate new business opportunities within the IT and technology training sector. This role focuses on identifying, developing, and onboarding new employer partners, promoting both apprenticeship programmes and commercial tech training solutions. As the Business Development Manager , you will support organisations in building future-ready digital workforces through programmes such as Software Development, Cyber Security, Data, Cloud, and IT Support, working with both levy and non-levy employers to maximise the value of apprenticeships and funded training. This is a target-driven role. The ideal Business Development Manager will have strong sales capability, excellent relationship-building skills, and a solid understanding of the UK apprenticeship and digital skills landscape. Key Responsibilities Business Development Manager (IT & Tech) Proactively identify, target, and secure new employer partnerships across the IT, digital, and technology sectors, as well as organisations with digital skills needs. Promote a portfolio of IT and tech apprenticeship programmes and commercial training courses, positioning them as strategic workforce and upskilling solutions. Sell both funded apprenticeship pathways and commercial short courses/bootcamps in areas such as Software Engineering, Cyber Security, Data Analytics, AI, and Cloud Technologies. Achieve and exceed monthly and quarterly targets for new learner starts, employer sign-ups, and revenue (apprenticeships + commercial training). Build and manage a strong sales pipeline, from lead generation through to onboarding and account growth. Engage with levy-paying and non-levy employers, advising on how to utilise levy funds, co-investment, and commercial training budgets. Conduct detailed digital skills gap analysis with employers, recommending tailored IT training and apprenticeship solutions. Provide expert guidance on apprenticeship funding rules, levy transfer opportunities, and compliance, alongside commercial pricing options. Maintain accurate CRM records, track activity, and produce performance reports aligned to sales KPIs. Represent the organisation at tech events, networking forums, careers fairs, and industry conferences. Collaborate with internal delivery, curriculum, and learner engagement teams to ensure a seamless onboarding and high-quality client experience. Ensure all apprenticeship activity aligns with ESFA funding rules and regulatory requirements, while commercial offerings meet agreed service standards. Skills and Experience Proven experience in business development, B2B sales, or employer engagement, ideally within IT training, apprenticeships, or tech education. Strong understanding of the UK apprenticeship system, including levy and non-levy funding. Demonstrated success in selling training solutions, digital skills programmes, or SaaS/tech-related services. Ability to confidently engage and influence senior stakeholders, HR leaders, L&D teams, and technical decision-makers. Strong knowledge or interest in IT and technology disciplines (e.g., software, cyber, data, cloud). Excellent negotiation, influencing, and closing skills with a consultative sales approach. Highly organised, with the ability to manage multiple opportunities and a fast-moving pipeline. Experience using CRM systems, Microsoft Office, and digital sales tools. Self-motivated, target-driven, and commercially focused. Paul Feldman is the National Skills Agency Data Protection Officer. Your data will be stored until notice is given by you for it to be removed. Our Data Protection Policy will be forwarded to you on request. As we get a high number of applications we may be unable to give feedback to unsuccessful candidates. We will retain your details to keep you informed of other opportunities. National Skills Agency Ltd is acting as an Employment Agency in relation to this vacancy and is an Equal Opportunities employer we welcome applicants from all backgrounds.
21/05/2026
Full time
Job Title: Business Development Manager Location: Remote (1 day per month in London) Salary: £40,000 + Commission Role Overview: Our client is seeking an experienced and results-driven Business Development Manager to drive employer engagement and generate new business opportunities within the IT and technology training sector. This role focuses on identifying, developing, and onboarding new employer partners, promoting both apprenticeship programmes and commercial tech training solutions. As the Business Development Manager , you will support organisations in building future-ready digital workforces through programmes such as Software Development, Cyber Security, Data, Cloud, and IT Support, working with both levy and non-levy employers to maximise the value of apprenticeships and funded training. This is a target-driven role. The ideal Business Development Manager will have strong sales capability, excellent relationship-building skills, and a solid understanding of the UK apprenticeship and digital skills landscape. Key Responsibilities Business Development Manager (IT & Tech) Proactively identify, target, and secure new employer partnerships across the IT, digital, and technology sectors, as well as organisations with digital skills needs. Promote a portfolio of IT and tech apprenticeship programmes and commercial training courses, positioning them as strategic workforce and upskilling solutions. Sell both funded apprenticeship pathways and commercial short courses/bootcamps in areas such as Software Engineering, Cyber Security, Data Analytics, AI, and Cloud Technologies. Achieve and exceed monthly and quarterly targets for new learner starts, employer sign-ups, and revenue (apprenticeships + commercial training). Build and manage a strong sales pipeline, from lead generation through to onboarding and account growth. Engage with levy-paying and non-levy employers, advising on how to utilise levy funds, co-investment, and commercial training budgets. Conduct detailed digital skills gap analysis with employers, recommending tailored IT training and apprenticeship solutions. Provide expert guidance on apprenticeship funding rules, levy transfer opportunities, and compliance, alongside commercial pricing options. Maintain accurate CRM records, track activity, and produce performance reports aligned to sales KPIs. Represent the organisation at tech events, networking forums, careers fairs, and industry conferences. Collaborate with internal delivery, curriculum, and learner engagement teams to ensure a seamless onboarding and high-quality client experience. Ensure all apprenticeship activity aligns with ESFA funding rules and regulatory requirements, while commercial offerings meet agreed service standards. Skills and Experience Proven experience in business development, B2B sales, or employer engagement, ideally within IT training, apprenticeships, or tech education. Strong understanding of the UK apprenticeship system, including levy and non-levy funding. Demonstrated success in selling training solutions, digital skills programmes, or SaaS/tech-related services. Ability to confidently engage and influence senior stakeholders, HR leaders, L&D teams, and technical decision-makers. Strong knowledge or interest in IT and technology disciplines (e.g., software, cyber, data, cloud). Excellent negotiation, influencing, and closing skills with a consultative sales approach. Highly organised, with the ability to manage multiple opportunities and a fast-moving pipeline. Experience using CRM systems, Microsoft Office, and digital sales tools. Self-motivated, target-driven, and commercially focused. Paul Feldman is the National Skills Agency Data Protection Officer. Your data will be stored until notice is given by you for it to be removed. Our Data Protection Policy will be forwarded to you on request. As we get a high number of applications we may be unable to give feedback to unsuccessful candidates. We will retain your details to keep you informed of other opportunities. National Skills Agency Ltd is acting as an Employment Agency in relation to this vacancy and is an Equal Opportunities employer we welcome applicants from all backgrounds.
