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Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details

Location Bristol, London, Warrington For roles based in London, your contractual place of work will be Stratford. While the Stratford site is expected to become operational from November 2025 - March 2026, you will be required to carry out your contractual duties from Vauxhall or another reasonable location on a temporary basis during the interim period. Please note that, as Stratford will be your contractual place of work, any subsequent move from a temporary location will not entitle you to payments for travel time or costs under the Relocation and Excess Travel Policy. About the job Job summary Join the expanding National Data Exploitation Capability (NDEC), part of the National Crime Agency's Data and Analysis Hub,and help place data at the centre of the fight against serious and organised crime (SOC). NDEC delivers advanced analytical and exploitation capabilities that generate operational insight, inform strategic decision making, and provide a critical edge against increasingly technology driven threats. As a Lead Software Developer, you will play a key role in shaping and delivering high quality software solutions that unlock the value of complex and rapidly growing datasets. We are looking for proactive, inquisitive problem solvers who thrive in a dynamic environment, enjoy variety, and work effectively as part of a collaborative, multi disciplinary team. Job description As the Lead Software Developer, you will provide technical leadership across NDEC and the wider NCA, driving the design, development and delivery of high quality software solutions that directly support mission critical operational and analytical needs. Working within a multi disciplinary technical team, you will contribute to the creation of next generation tools and platforms that enhance the Agency's ability to detect, disrupt and prevent SOC. This role places you at the cutting edge of law enforcement technology, helping to shape capabilities that address some of the most complex and high impact threats facing the UK. You will set engineering standards, define best practice and ensure the team consistently delivers secure, scalable and maintainable software. A key part of your role will be leading, coaching and mentoring a team of developers, supporting their technical growth, fostering a positive and collaborative culture, and ensuring their work aligns with NCA priorities. You will champion modern development approaches and agile delivery methods, promoting DevOps practices, automation and continuous integration/continuous deployment to ensure rapid and reliable delivery. Your responsibilities will include guiding technical decision making, selecting appropriate technologies and architectural approaches, and making informed judgments about when to build bespoke solutions or adopt existing tools. You will work closely with data scientists, analysts, product managers and operational teams to ensure that complex mission requirements are translated into robust, user centred technical solutions. In doing so, you will ensure that software developed within NDEC integrates effectively with operational workflows and delivers real world impact. You will also play a key role in strengthening the developer community across NDEC and the wider Agency, promoting knowledge sharing, encouraging experimentation and driving the adoption of good practice in security, testing, automation and documentation. Through strong technical leadership and a commitment to continuous improvement, you will help build a high performing software engineering capability that delivers meaningful outcomes in a fast moving and demanding environment. Duties and Responsibilities Team Leadership - Lead, manage and inspire a software development team to design, build and deliver high quality data services that address complex operational challenges. Provide clear direction, set standards and foster a culture of technical excellence and continuous improvement. Relationship Building - Develop strong, collaborative relationships across the NCA technical community. Promote shared learning, knowledge exchange and cross functional working to build collective capability and support the effective delivery of Agency priorities. User Engagement - Champion user centred design by defining effective approaches for understanding user needs and guiding others in eliciting and interpreting user stories. Distinguish clearly between genuine user needs and stakeholder wants, ensuring research is applied appropriately and recommending the most suitable tools and methods. Modern Development Standards - Apply and promote modern engineering standards and practices across complex projects and programmes, ensuring solutions are robust, secure, maintainable and aligned with organisational best practice. Programme and Build (Software Engineering) - Maintain technical oversight across all stages and iterations of the software development lifecycle. Provide expert advice to stakeholders, set team wide standards for programming tools and techniques, and ensure appropriate application of methods, frameworks and compliance requirements. Information Security - Design solutions with embedded security controls, ensuring they are purposefully engineered to mitigate relevant security threats and meet NCA and national security requirements. Systems Design - Develop systems that balance risk, impact and technical complexity, selecting suitable design patterns and standards. Review and assure the designs of others, ensuring appropriate technology choices, efficient resource use and effective integration across multiple systems. Systems Integration - Coordinate integration activities across systems, defining integration approaches and supporting teams in undertaking integration testing. Ensure components interact reliably and support the delivery of end to end operational capability. Person specification Software Engineering - Demonstrable industrial experience designing, developing and testing complex object oriented software applications. Strong proficiency in object oriented programming languages, with experience applying robust engineering principles in production environments. Deep understanding of the full software development lifecycle, including discovery, design, build, testing, deployment and maintenance. Development Practices & Delivery - Hands on experience working within agile delivery environments, applying iterative development, continuous feedback and prioritisation techniques. Practical experience with modern DevOps practices, automation and CI/CD pipelines to ensure consistent, reliable and secure deployment. Ability to translate user and business requirements into technical solutions, managing expectations and making informed, collaborative trade offs. Cloud, Infrastructure & Environments - Knowledge of designing, deploying and maintaining software across cloud and on premise environments. Understanding of how to build scalable, secure and resilient systems that integrate effectively within complex technical landscapes. Technical Design & Architecture - Experience contributing to technical design decisions, architectural patterns and standards. Ability to assess technology options, ensure alignment with best practice, and contribute to long term technical strategy. Technical Leadership - Experience operating in a technical leadership role, providing direction, coaching and assurance to software developers. Ability to build a positive engineering culture, promote knowledge sharing, and drive continuous improvement across a multi disciplinary team.

Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. What You'll Do From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team What You'll Bring Extensive experience in an analytical role, ideally within a product-led or digitally native environment Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential Hands-on experience with BI tools such as Lightdash, Looker, or Tableau A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real Comfort working across teams and managing multiple priorities without losing rigour Genuine curiosity about user behaviour and a drive to understand the why behind the data An openness to integrating AI tools into your workflow and a mindset for continuous improvement Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid working and flexible hours EV charging and free parking onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)

The Role We are seeking an AI Security Research Scientist to join The Alan Turing Institute s Defence & National Security team, helping to strengthen the robustness, reliability, and resilience of AI systems used in high stakes environments. This is an exciting opportunity for a mathematically strong researcher to apply advanced modelling, optimisation, statistical, numerical and experimental skills to cutting-edge AI security challenges, working closely with researchers, engineers and external partners to turn innovative ideas into practical capabilities. The role would suit someone with a PhD or equivalent experience in a highly quantitative field, strong programming skills and the ability to work from first principles, learn quickly and communicate complex research clearly. Prior experience in machine learning or AI security is welcome but not essential, and eligibility for Developed Vetting (DV) clearance is required. Your Profile We are looking for a highly analytical researcher with a strong grounding in applied mathematics or a similarly quantitative discipline, backed by a PhD or equivalent experience involving advanced algorithmic, statistical or numerical methods and computer programming. The ideal candidate will be fluent in one or more modern data science languages, able to communicate research clearly through technical outputs and confident working independently while collaborating effectively with others. They will be someone who learns quickly, thinks from first principles and is excited by the challenge of applying rigorous mathematical and experimental thinking to complex AI security problems. Experience in areas such as optimisation, robustness, verification, deep learning, cybersecurity or AI red teaming would be an advantage, but just as important is the ability to move comfortably between theory, modelling and experimentation, engage with technical and non-technical stakeholders and meet the eligibility requirements for Developed Vetting (DV) clearance. How You'll Make an Impact Adapt, assess, and extend existing research (from within the Institute and beyond) to understand how it behaves in realistic operational settings. Formulate research questions that make novel ideas testable, measurable, and actionable for partners. Design and run rigorous deep learning and AI security experiments - from robustness and adversarial evaluations to interpretability studies and stress-testing emerging methods. Generate insights: analyse results, identify failure modes, characterise risks, and evaluate whether a method is ready to progress toward real-world use. Prototype and iterate on new approaches, working closely with Research Engineers to ensure experiments are rigorous, reproducible, and well implemented. Translate findings into technical reports, presentations, demonstrations, and early-stage capabilities that inform partners operational decisions. Contribute to the wider research community, sharing knowledge internally, participating in discussions, and contributing where appropriate to publications and open-source outputs. Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages). As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the following information as part of your cover letter: Your current nationality Your nationality at birth Other nationality (include dual nationality if applicable) Confirmation that you have been residing in the UK for the past 5 years (if you haven t, please provide details of when and where you resided and the reason) Country where you were born. County in which you were born. Town where you were born. Please note, if these details are not provided, we will be unable to progress with your application for this role. If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter. For questions about the role and the recruiting process please get in touch with us at . If you would like to apply using a different format, please contact the Recruitment team. CLOSING DATE FOR APPLICATIONS: SUNDAY 26 APRIL 2026 AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Eligibility for Developed Vetting (DV) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check if they are eligible for DV clearance before applying to this role. The successful candidate will be required to undergo a pre-screening check. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .

The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are seeking a technical experienced aviation professional to manager transformation projects through teams implementing innovative projects in maintenance programme development. These initiatives will leverage data-driven and AI-enabled tools, as well as other advanced digital technologies, to optimise processes within the airline's Technical Operations. Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager, working closely with AI labs, data scientists, and operational experts to guide the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions. Key focus areas will include: • Optimisation of aircraft maintenance programme development • Escalation processes for maintenance tasks and check intervals • Optimisation of non-mandatory maintenance tasks • Standardisation of maintenance job cards and job instructions • Development of optimised work packages • Deployment of digital and AI-powered performance dashboards The role aims to enhance safety, increase operational efficiency, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists. The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a strategic leadership position that brings digital transformation into one of the most safety-critical and capital-intensive areas of the airline industry. Your responsibilities Act as a Project Manager for the airline group's digital transformation roadmap within Technical Operations and MRO for maintenance programme development. Help coordinate cross-functional teams across engineering, planning, maintenance, and digital/tech units to ensure alignment and adoption of AI-enabled solutions. Lead the project management of AI-powered tools for maintenance programme development, ensuring compliance with regulatory requirements and OEM guidelines. Collaborate with engineering and planning teams to integrate new maintenance tools and adapt programmes to fleet and operational needs. Validate use cases and ensure scalability of maintenance programme optimisation solutions across multiple operating companies (OpCos). Engage stakeholders and foster change management to embed AI-driven maintenance programme practices into operational workflows. Monitor and communicate KPIs to demonstrate impact on safety, operational performance, and cost efficiency. Your skills, experience and qualifications Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline. Extensive experience in aircraft maintenance programme development within an airline, MRO, OEM, or aviation regulatory body. Native / Bilingual in English. Ideal Candidate Profile Knowledge of regulatory frameworks (EASA Part-M, Part-CAMO, FAA equivalent). Proven track record of leading transformation or digitalisation projects in maintenance or operational settings. Strong knowledge of maintenance programme optimisation methodologies and compliance requirements. Ability to bridge engineering expertise with data/AI-driven innovation. Strategic mindset with excellent stakeholder management and communication skills. Passion for driving innovation and digital transformation in the aviation industry. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are seeking a technical expert in airline supply chain and maintenance operations to manager transformation initiatives. This role is pivotal in coordinating cross-functional teams to implement innovative projects that leverage artificial intelligence (AI) tools as well as other advanced algorithms and digital solutions. Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager, working closely with AI lab, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within the airline's Technical Operations and Maintenance, Repair & Overhaul (MRO) functions. Key focus areas include: • Optimisation of spare parts planning and stock dimensioning • Enhancement of procurement strategies • Deployment of AI-enabled tools for demand forecasting, inventory optimisation, and vendor performance dashboards The role aims to deliver cost efficiencies while safeguarding operational reliability. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists. The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most capital-intensive areas of the airline industry, ensuring that technological innovation is both practical and impactful. Your responsibilities Act as Project Manager for the airline group's supply chain digital transformation roadmap within Technical Operations and MRO. Help coordinate cross-functional teams across procurement, logistics, engineering, maintenance, and digital/tech units to ensure alignment and adoption of AI-enabled solutions. Lead the project management of AI-powered tools for demand forecasting, inventory optimisation, and supplier performance monitoring. Validate use cases and ensure scalability of supply chain optimisation solutions across multiple operating companies (OpCos). Engage stakeholders and foster change management to embed AI-driven supply chain practices into operational workflows. Monitor and communicate KPIs to demonstrate impact on cost efficiency, operational reliability, and overall supply chain performance. Your skills, experience and qualifications Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline. Extensive experience in airline supply chain management, within an airline, MRO, OEM, or aviation regulatory body. Native / Bilingual in english Ideal Candidate Profile Knowledge of regulatory frameworks (EASA Part-M, Part-CAMO, FAA equivalent). Proven track record of leading transformation or digitalisation projects in supply chain or operational settings. Strong knowledge of demand planning, inventory management, procurement strategies, and vendor performance frameworks. Ability to bridge supply chain expertise with data/AI-driven innovation. Strategic mindset with excellent stakeholder management and communication skills. Passion for driving innovation and digital transformation in the aviation industry. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are seeking a technical expert to manage transformation projects through teams implementing innovative engineering and reliability initiatives. These projects will leverage data-driven and AI-enabled tools, as well as other advanced digital technologies, to optimize engineering and reliability processes within the airline's Technical Operations. Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager, working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions. Key focus areas will include: • Optimization of reliability analytics and failure detection • Development of predictive maintenance capabilities and tools • Deployment of technician copilots to support engineers and ground technicians • Development of integrated reliability dashboards • Monitoring and follow-up of continuous improvement maintenance actions arising from these tools The role aims to enhance safety, increase aircraft availability, and optimize maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering teams, operational stakeholders, and the AI lab and data scientists. The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and capital-intensive areas of the airline industry, ensuring that technological innovation is both practical and impactful. Your responsibilities Act as Project Manager for the airline group's digital transformation roadmap for reliability management. Help coordinate cross-functional teams across engineering, line/base maintenance, operations, and digital/tech units to ensure alignment and adoption of AI-enabled solutions. Lead the project management of AI-powered tools for reliability monitoring and performance analysis. Support the use of reliability analytics to identify component wear trends, failure patterns, and root causes, implementing data-driven improvement initiatives. Deploy AI- and data-powered tools for predictive modeling and reliability dashboards. Validate use cases and ensure scalability of reliability solutions across multiple operating companies (OpCos). Engage stakeholders and foster change management to embed reliability-focused practices into operational workflows. Monitor and communicate KPIs to demonstrate impact on safety, reliability, operational performance, and cost efficiency. Your skills, experience and qualifications Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline. Extensive experience in aircraft engineering and reliability management within an airline, MRO, OEM, or aviation regulatory body. Native or bilingual proficiency in English. Ideal Candidate Profile Strong knowledge of reliability engineering methodologies, predictive maintenance tools, and regulatory frameworks (EASA Part-M, Part-CAMO, FAA equivalents). Proven track record of leading transformation or digitalization projects in reliability or operational environments. Ability to bridge engineering expertise with data/AI-driven innovation. Proficiency in data analytics tools and reliability management systems. Strategic mindset with excellent stakeholder management and communication skills. Passion for driving innovation and digital transformation in the aviation industry. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are seeking a senior technical expert to lead strategy and drive transformation through the coordination of teams implementing innovative engineering and reliability projects. These initiatives will leverage data-driven and AI-enabled tools, as well as other advanced digital technologies, to optimise engineering and reliability processes within the airline's Technical Operations. Please note this is not a data science or IT development role. The successful candidate will act as a Subject Matter Expert (SME), working closely with AI labs, data scientists, and operational experts to guide the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions. Key focus areas will include: • Optimisation of reliability analytics and failure detection • Development of predictive maintenance capabilities and tools • Deployment of technician copilots to support engineers and ground technicians • Development of integrated reliability dashboards • Monitoring and follow-up of continuous improvement maintenance actions arising from the above tools The role aims to enhance safety, increase aircraft availability, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists. The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a strategic leadership position that brings digital transformation into one of the most safety-critical and capital-intensive areas of the airline industry, ensuring that technological innovation is both practical and impactful. Your responsibilities Define and execute the airline group's digital transformation roadmap for reliability management. Coordinate cross-functional teams across engineering, line/base maintenance, operations, and digital/tech units to ensure alignment and adoption of AI-enabled solutions. Lead the deployment of AI-powered tools for reliability monitoring and performance analysis. Drive the use of reliability analytics to identify component wear trends, failure patterns, and root causes, implementing data-driven improvement initiatives. Deploy AI- and data-powered tools for predictive modelling and reliability dashboards. Validate use cases and ensure scalability of reliability solutions across multiple operating companies (OpCos). Engage stakeholders and foster change management to embed reliability-focused practices into operational workflows. Monitor and communicate KPIs to demonstrate impact on safety, reliability, operational performance, and cost efficiency. Your skills, experience and qualifications Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline. Extensive experience in aircraft engineering and reliability management within an airline, MRO, OEM, or aviation regulatory body. Native / Bilingual in English. Ideal Candidate Profile Strong knowledge of reliability engineering methodologies, predictive maintenance tools, and regulatory frameworks (EASA Part-M, Part-CAMO, FAA equivalents). Proven track record of leading transformation or digitalisation projects in reliability or operational environments. Ability to bridge engineering expertise with data/AI-driven innovation. Proficiency in data analytics tools and reliability management systems. Strategic mindset with excellent stakeholder management and communication skills. Passion for driving innovation and digital transformation in the aviation industry. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline's Line Maintenance and Short-Term planning Technical Operations environments. Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions. Key focus areas will include: • Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments • Development of predictive scheduling and anomaly detection tools • Short-term planning and task assignment optimisation for Line Maintenance • Deployment of technician decision-support copilots • Development of integrated operational and Line Maintenance performance dashboards • Next-generation labour and skills planning for Line Maintenance The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists. The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful. Your responsibilities Act as a Project Manager for the airline group's predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning. Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions. Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation. Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos). Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows. Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency. Your skills, experience and qualifications Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline. Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning. Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools. Proven track record of leading transformation or digitalisation projects in maintenance or operational environments. Native / Bilingual in English. Ideal Candidate Profile Ability to bridge engineering expertise with data/AI-driven innovation. Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards. Strategic mindset with excellent communication and stakeholder management skills. Ability to operate effectively in a cross-functional, multicultural environment. Passion for driving innovation and digital transformation in the aviation industry. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.