205 jobs found

A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy

Here at innocent, we're on a mission to make it easier for everyone to get more fruit and veg into their bodies. We started back in 1999 and since then we've gone from selling a few smoothies at a music festival to becoming one of Europe's biggest drinks companies with around 1,000 people (and the B Corp seal of approval). It's nice to be able to say things like that but we're not patting ourselves on the back just yet. We want to show everyone that it's possible to be a successful business while looking after people and the planet too, so we're trying to get better in pretty much every way. And that's where this job comes in. At innocent, we're big believers in the power of good data, the kind that helps people make smart decisions without needing a PhD to understand it. Our Data, Integrations and Analytics team sits at the heart of that mission, turning numbers into stories the whole business can use. From planning how much fruit we'll need next season, to understanding what our drinkers love most, trusted insight keeps everything moving in the right direction. We're now looking for a BI (Business Intelligence) Business Analyst to join this merry band of data enthusiasts. You'll help shape how we create, look after and use insight across teams like Commercial, Marketing, Supply Chain and Finance. Some days you'll be untangling a tricky data question, other days you'll be building intuitive Power BI (Microsoft's data visualisation tool) dashboards that make everything click. And because we're growing our data community, you'll play a big part in helping colleagues feel confident, curious and well equipped to use insight every day. You'll be Turning business questions into clear, valuable analytics with measurable impact Supporting colleagues with data model queries and fixing issues so they stay fixed Building engaging Power BI reports and dashboards using data from multiple sources Helping grow our community of Power BI fans through fun, friendly "Power Biscuits" sessions Driving trust and adoption of insight across the business Rolling up your sleeves to improve our certified data models and reporting Documenting key processes and learnings to strengthen our knowledge library Working closely with teams across innocent to make insight genuinely useful You'll have Experience translating business questions into actionable insight Confidence working with stakeholders and explaining data in plain English Strong Power BI skills (including the DAX language) and advanced Excel know how A problem solving mindset with an eye for sustainable, long term fixes A collaborative approach and an interest in building a data confident community Ideally, experience with D365 F&O (Microsoft Dynamics 365 Finance & Operations), and bonus points for knowing some SQL (Structured Query Language) You'll get The chance to work alongside data engineers, analysts and senior leaders shaping how innocent uses data every day Real ownership to take questions from start to finish and turn them into insight that drives decisions A curious, friendly environment where learning is openly shared Loads of variety - from troubleshooting tricky data issues to bringing stories to life in Power BI The opportunity to set standards and influence how others across the business work with data Ongoing development of your Power BI and wider analytics skills, while helping others grow theirs too We want innocent to be a great place to work, so we do lots of stuff to make people feel at home and try to make sure everyone's career is shaping up the way they want it to. There are plenty of opportunities to have a go at something new or take things further. In exchange for helping us do business in the right way, you'll get a solid rewards packagethat includes a salary (phew), private healthcare, a target based bonus, and a bunch of other nice things like a day off on your birthday. And yes, you get free smoothies. We also know that not all our drinkers come from the same background, or think the same - so why should we? At innocent, we want to be a great place to work where a diverse bunch of people from all backgrounds can turn up and thrive. When we hire, we want all the juice, bits, and pulp that make you who you are. Even if you don't think you can tick all the boxes, if the job sounds right for you, come and throw your hat in the ring. Probably best to get your skates on though, as we might close this early if we get loads of applications.

IT Projects Business Analysis JG3 - 1SHLJP - Featured Role Apply direct with Data Freelance Hub This role is for an IT Projects Business Analyst, offering a 6-month contract with potential extensions, located in London (hybrid 2-3 days/week). Key skills required include data aggregation experience, Azure Cloud, SQL, and familiarity with the oil and gas industry. Help support our commodities client's growing data function for an initial 6 month period with the possibility of extensions. The position requires presence in the London office 2 3 days a week and is inside IR35 via an umbrella. Essential Experience: Direct experience in the delivery of data aggregation and analytics platforms - Data Lakehouse and Data Warehouse builds, ideally using Azure Cloud and Databricks / ADF, but also AWS / GCP, Snowflake, Synapse, Fabric, and other relevant technologies. Confident talking and working with a range of stakeholders from business staff through IT staff at various levels, from developers and other technical roles to portfolio managers. Confident building and maintaining documentation products including Requirements Backlogs, RAID logs, Data Requirement specifications, and product support documents. Experience with Azure DevOps (ADO) and capable of helping to develop and maintain backlog work items. Experience with BA tools such as MS Visio, Figma, Azure DevOps, and use of Copilot in Teams. Hands on read/write skills in SQL, Python, Power BI or QlikSense. Prior experience/domain knowledge in the oil and gas industry and with oil and gas trading, O&G industry supply chains, ETRMs, and commodity trading principles. To apply, please submit an updated CV. We will review your application and contact you if suitable.

What is the Role: This role is positioned within the Risk Analytics Team as a Senior Quantitative Risk Analyst. In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Risk Analytics is part of the Risk Function, an independent, second line of defence function that monitors, controls, and supports risk taking activities across AIB. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB's risk profile. The Risk Function's main objective is to ensure AIB has a robust risk management framework and culture in place to ensure risks are taken within the risk appetite set by the Board, in support of AIB's customer franchise and social responsibility. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive models that are focussed on core business elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members. Digital protection: Access / utilise bank data within the policies and frameworks required by AIB. What you Will Bring: Minimum 3 years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.) Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g., R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau. Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with regulatory or audit bodies; Strong ability to build relationships and communicate with key stakeholders, Curiosity, and inventiveness. Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front. What We Offer We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements. Some of our benefits include; Variable Pay Employee Assistance Programme Family leave options As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below. Please note that the capabilities will only be asked at interview stage. Ensures Accountability Develops & Empowers Data Analysis If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Nicole Pasquetti, for a conversation.

We're a fast-growing, PE-backed enterprise SaaS company serving global organizations, with a focus on integrity, compliance, risk, and ESG. Our platform enables Chief Compliance Officers and risk leaders to build resilient and transparent organizations. With strong product-market fit and rising demand, we're scaling our global customer organization to drive retention, expansion, and long-term customer value. We're seeking a commercially minded, consultative, and relationship-driven Senior Customer Success Manager to own and grow a portfolio of strategic enterprise accounts. As a Senior Customer Success Manager, you will own the commercial relationship with our enterprise customers, driving retention, expansion, and measurable business outcomes. You will act as a trusted advisor to senior stakeholders, ensuring customers realize maximum value from our platform while identifying and executing upsell and cross-sell opportunities. This is a high-impact, revenue-generating role where you will directly contribute to Net Revenue Retention (NRR), Gross Revenue Retention (GRR), and overall account growth. Responsibilities Retention, Expansion & Revenue Growth Own the commercial relationship for a portfolio of enterprise customers, driving renewals, retention, and expansion. Deliver and exceed upsell and cross-sell targets within existing accounts. Forecast renewals and expansion opportunities with accuracy and visibility. Drive Net Revenue Retention (NRR), Gross Revenue Retention (GRR), and upsell performance against defined KPIs. Identify expansion pathways across business units, geographies, and use cases. Strategic Account Management & Executive Engagement Serve as a trusted advisor to executive stakeholders, including C-level, business sponsors, IT, and procurement. Develop and maintain long-term, strategic relationships across complex enterprise organizations. Build and execute joint Success Plans aligned to customer business objectives. Conduct data-driven Executive Business Reviews (EBRs) to track value realization and align on forward strategy. Apply a consultative approach to understand customer challenges and position solutions that deliver measurable impact. Customer Value, Health & Advocacy Monitor account health using dashboards and analytics to proactively mitigate risk and identify growth opportunities. Define customer roadmap requirements and align them with product capabilities and innovation plans. Partner cross-functionally with Customer Success, Support, Product, Engineering, Marketing, and Leadership to ensure long-term value delivery. Drive customer advocacy through case studies, references, referrals, and testimonials. Collect, analyze, and improve Net Promoter Score (NPS) as a core success metric. Maintain high levels of engagement and proactive communication to ensure customer satisfaction and success. Requirements 5+ years of consultative, results-driven experience managing and expanding enterprise SaaS accounts (legal/compliance industry experience preferred). Proven track record of retaining and growing enterprise customers in complex, multi-stakeholder environments. Demonstrated success managing high-value accounts and closing expansion opportunities. Strong pipeline management and revenue forecasting capabilities. Ability to build credibility with senior executives and navigate enterprise buying processes. Highly organized, detail-oriented, and strategic mindset, with the ability to manage multiple priorities in a fast-paced environment. Excellent written and verbal communication skills. Comfortable with Salesforce, G Suite, web conferencing platforms, and reporting/dashboard tools. Willingness to travel as needed. What we offer A competitive salary that reflects your skills and experience. Flexible working hours and the freedom to work fully remotely. The chance to be part of something meaningful - helping to build an ethical and compliant business space around the globe. An opportunity to make a real, lasting impact on a rapidly growing company. About us Founded by a Danish human rights activist in 2004, today GAN is a global company with a highly diverse team spanning a wide range of both professional and cultural backgrounds - from compliance lawyers and researchers to technology experts, designers, and developers across our offices in NYC, Copenhagen, and London. GAN's unique setup within the compliance software industry and its extraordinary team helped GAN revolutionize the compliance space and raise venture capital from leading firms such as Apax and Aquiline Capital Partners. GAN's completely integrated and intuitive platform is trusted by many of the world's leading brands, such as Live Nation and Barrick, to help them better manage their compliance activities all in one place. Read more at . GAN Integrity is committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion. We believe that every employee has the right to work in a positive, collaborative atmosphere that promotes equal opportunities and prohibits discriminatory practices. By submitting your application, you agree that GAN Integrity may collect your personal data for recruiting and related purposes. GAN Integrity's Candidate Privacy Notice explains what personal information GAN Integrity may process, where GAN Integrity may process your personal information, its purposes for processing your personal information, and the rights you can exercise over GAN Integrity's use of your personal information. At this time, GAN Integrity is unable to offer visa sponsorship, visa transfers, or relocation support for this role. Applicants must possess current and valid authorization to work in the country where they reside at the time of application. We conduct interviews on an ongoing basis, so we encourage you to submit your application as soon as possible.

About us One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What you'll do Reporting to the Aviation & Maritime Safety Engineering Director within the Engineering Integration and Delivery group, the Principal Aviation & Maritime Safety Systems Engineer will work as part of a small team of safety engineering specialists who are responsible for all engineering aspects from initial concept to the introduction of service for our aviation and maritime safety communication systems. The postholder will focus on the evolution of Viasat's SwiftBroadband Safety and Iris infrastructure, based on a solid understanding of the new and emerging communications and surveillance requirements for Air Traffic Management, and will support the technical development of infrastructure supporting maritime safety services and products. He/she will play a key role in defining the end-to-end architecture supporting new aero and maritime safety terminals, including hybrid terminals operating over both GEO & LEO. The postholder will also provide support to the ESA IRIS Phase 4 Programme. The role will require development of an in-depth understanding of the regulatory and industry standards for aviation safety and maritime safety communication systems. It will require close working with industry partners within the ESA Iris consortium, and with aircraft manufacturers, avionics suppliers, and air traffic communication service providers. The role will also require development of a technical understanding of urban air mobility requirements in congested airspace. The role will represent Viasat's engineering lead in meetings with suppliers and must be capable of dealing confidently with experts in similar and adjacent disciplines. Viasat, Inc. seeks an experienced systems engineer for this role within the Engineering Integration and Delivery group, in close cooperation with the IRIS Program Manager and PMO, and the Aviation Business Unit. This position provides a competitive salary, performance-based bonus and equity opportunities , and a full range of benefits. The day-to-day You will: Compile system design requirements for next generation safety service product developments, including new hybrid LEO-GEO satcom aviation and maritime safety service designs and architectures, and including extension to urban air mobility (UAM). Produce system concepts and candidate architectures and conduct trade-off studies in development of the future aviation & maritime safety datalink networks. Create detailed design specifications and supplier Statements of Work for use in competitive procurements for evolution of Viasat's safety service infrastructure. Manage suppliers for implementation, verification, and change management of the satcom network safety service infrastructure. Support the definition of technical solutions, and compile costs and benefits for internal business cases. Support the Commercial Service Introduction (CSI) of new aviation and maritime safety products and services. Form strong technical relationships with peers at satcom avionics manufacturers, airframers, ESA, and Viasat service providers. Support aviation industry avionics systems standardisation at ICAO, AEEC, RTCA, and EUROCAE industry groups, maintaining awareness of ATM regulatory technical developments and evolving system requirements pertaining to both satcom networks and terminals. What you'll need Degree in Electrical or Electronic Engineering, Physics, Computer or Communications science, or equivalent, and 5+ years of relevant professional experience. Technically fluent in telecommunications technologies, ideally including 5G architectures, 3GPP releases, an understanding of IP-based mobile networking technologies, and ideally an understanding of satellite or mobile communications systems. Strong analytical capability, able to conduct system engineering and technology trade-offs. Strong inter-personal skills including the ability to establish and maintain relationships and trust. Ability to work in a complex, international matrix organization alongside 3rd-parties Strong troubleshooting and analytical skills. Positive and energetic attitude. Capability to work autonomously as well as being a self-starter and self-motivated. Honest, Respectful and Patient. Ability to adapt and change in a dynamic working environment. What will help you on the job Knowledge of networking technology, ideally with experience working with satcom networks in support of aviation or maritime safety services. Avionics systems development. Knowledge of IT security practices including IPSec and PKI. Good knowledge of software development and engineering techniques. Experience of supporting aviation or maritime safety services and products, ideally involving datalink and/or satcom-based systems. Experience in the identification and capture of IT functional and non-functional requirements for large, complex projects. Experience of data analytics techniques. Knowledge of Viasat and other satellite communications systems. Knowledge of aeronautical Air Traffic Service standards and processes; ICAO, ARINC, RTCA, EUROCAE, Certification, especially Aeronautical Telecommunications Network (ATN), and existing air traffic datalink service standards. Delivery of Air Traffic Communications services as an ANSP or communications supplier. EEO Statement Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.

Asset Management, Technology - Data Scientist The Data Science, Analytics and AI group within Macquarie Asset Management aspires to create a data driven decision making culture and support business growth by advancing our capabilities in analytics and AI. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? You will tackle complex challenges using advanced analytics and agentic AI. Leveraging state of the art AI techniques, you will deliver transformative business impact across our private market investment divisions, including Real Assets, Real Estate, and Credit and Insurance. Example challenges include automating data extraction from unstructured investment documents, building AI agents to streamline portfolio company analysis, creating intelligent systems to support deal screening workflows, and developing tools that augment analyst productivity across asset classes. What you offer 4+ years' experience in Data Science, working for a financial institution and ideally supporting across one or more private asset classes Highly proficient in Python or R, a deep understanding of cloud infrastructure, and hands on experience building and deploying agentic AI workflows Experience with Anthropic Claude API or Google Gemini API strongly preferred and familiarity with Atlassian tools and scrum methodology is advantageous Excellent communication skills, able to translate business requirements into technical solutions and clearly articulate ML and AI approaches to a diverse range of stakeholders Able to thrive within a collaborative, multi disciplinary, cross functional agile scrum team, working alongside engineers, product owners and business stakeholders to deliver complex AI solutions We love hearing from anyone inspired to build a better future with us. If you're excited about the role or working at Macquarie, we encourage you to apply. What we offer At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave. 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers Paid fertility leave for those undergoing or supporting fertility treatment 2 days of paid volunteer leave and donation matching Access to a wide range of salary sacrificing options Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Macquarie Asset Management Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk adjusted returns. All figures as at 31 September 2025, excluding assets acquired by Nomura on 1 December 2025. Our commitment to diversity, equity and inclusion We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

Job Title: SC Cleared Data Integration Architect (Primary Care Data) Location: Hybrid/ 2-3 days near Bath Duration: 6 months with possible extension Rate: Up to £704 per day via an approved umbrella company Must be willing and eligible to go through the SC Clearance process Our client, a leading organisation in healthcare technology, is hiring for a reputable company to support their mission of modernising healthcare data platforms. We are seeking a skilled Data Integration Architect with strong primary care data domain expertise to lead the design and delivery of scalable, secure, and interoperable data solutions. What you'll be doing: Define end-to-end data integration architectures across primary, community, and secondary care systems. Design API-led, event-driven, and batch integration patterns supporting clinical, operational, and analytical needs. Develop logical and physical data flow diagrams, interface specifications, and establish standards and reusable patterns. Lead integration involving GP systems (appointments, prescribing, demographics), ensuring NHS standards (FHIR, HL7, SNOMED CT, dm+d). Support population health, quality reporting, and analytics pipelines. Act as technical authority across multiple projects, guiding implementation and ensuring architectural alignment. Collaborate with stakeholders to ensure solutions meet clinical safety, security, and governance standards (GDPR, NHS IG, DSPT). What you'll bring: Proven experience as a Data Integration Architect or Lead Integration Engineer, with a focus on primary care systems. Hands-on expertise with API platforms, message brokers, ETL/ELT pipelines, and FHIR-based integrations. Strong data modelling skills and experience designing cloud-native data platforms (AWS, Azure, GCP). Deep understanding of UK primary care data flows, NHS interoperability standards, and patient identity management. Knowledge of population health and analytics use cases. Familiarity with healthcare security standards and clinical safety processes. Desirable skills: Experience modernising legacy healthcare platforms. Exposure to population health management or integrated care systems. Knowledge of Infrastructure as Code, CI/CD pipelines, and agile delivery frameworks. Certification in TOGAF or similar architecture frameworks. Join a forward-thinking team committed to transforming healthcare data. Apply now to be part of this impactful journey!

What is the Role: This role is positioned within the Risk Analytics Team as a Senior Quantitative Risk Analyst. In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Risk Analytics is part of the Risk Function, an independent, second line of defence function that monitors, controls, and supports risk taking activities across AIB. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB's risk profile. The Risk Function's main objective is to ensure AIB has a robust risk management framework and culture in place to ensure risks are taken within the risk appetite set by the Board, in support of AIB's customer franchise and social responsibility. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive models that are focussed on core business elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members. Digital protection: Access / utilise bank data within the policies and frameworks required by AIB. What you Will Bring: Minimum 3 years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.) Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g., R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau. Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with regulatory or audit bodies; Strong ability to build relationships and communicate with key stakeholders, Curiosity, and inventiveness. Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front. What We Offer We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements. Some of our benefits include; Variable Pay Employee Assistance Programme Family leave options As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below. Please note that the capabilities will only be asked at interview stage. Ensures Accountability Develops & Empowers Data Analysis If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Nicole Pasquetti, for a conversation.

Senior Manager, Lead UX Strategist and Product Manager, IXD, Belfast or Derry, Londonderry Location: Belfast Other locations: Primary Location Only Date: 5 Mar 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The Team and the Opportunity At EY Studio+, the work we do cuts across every sector and reaches deep into the interactions, choices and experiences people encounter every day. We want to help people make better, more effective choices and solve their most pressing problems. We work with organisations to create transformative services, products and experiences that will make the world an easier, more meaningful, and sustainable place to live and work. Our aim is to help clients transform their customer-facing commercial functions and business outcomes through developing and implementing Customer & UX strategies, digital solutions, user-centric services, operating models, and optimised products, experiences, marketing, and sales. What we are looking for: We are seeking a dynamic and experienced UX Strategist & Product Manager to join our Business Consulting - Customer Transformation Team. This is a hybrid position that seeks an expert capable of bringing clarity to client solutions and effectively implementing those solutions. This role requires strong communication and human-centred design skills to build confidence in clients as they advance their growth strategies. Your role will be to lead and grow a team of UX Strategist & product managers while aligning market, business and customer needs to develop validated, innovative solutions that help our clients push their growth agenda forward with confidence. The ideal candidate passionate about using human-centred design methods to solve complex client challenges, validate solutions through prototyping and effectively communicate the rationale behind those solutions to clients and stakeholders to drive optimal business decisions and outcomes. Your key responsibilities Collaborate with clients to understand the market and customer needs, and business objectives. Define the product vision and strategy, aligning it with business goals and customer needs. Product Conceptualisation and Testing Utilise human-centred design methodologies to ideate, co-design and conceptualise innovative product solutions. Create user journey maps to identify customer pain points and opportunities. Design prototypes to validate solutions. Facilitate workshops to engage and inspire stakeholders in the value of a design-led process. Conduct user testing to gather feedback and turn them into actionable steps to refine product solutions. Requirements Development and Implementation Collaborate with clients to identify customer needs, conceptualise innovative product solutions, and guide the implementation of these solutions. Collect, prioritise, and translate comprehensive product requirements into features and user stories. Work closely with cross-functional teams, including UX designers, developers, and business analysts, to ensure alignment on project goals and successful product delivery. Proficient in project management methodologies, including Agile and Waterfall, with the ability to adapt these approaches to project needs. Skilled in creating and maintaining product roadmaps, managing budgets, identifying risks, and developing mitigation strategies. Creative Communication & Stakeholder Engagement Clearly articulate complex ideas, present product strategies, and design concepts, using storytelling to engage stakeholders and convey solution value. Foster open dialogue, active listening, and a culture of innovation to create a collaborative environment, co-designing solutions to drive successful outcomes. Facilitate various client workshops, discussions and effectively present concepts and solutions to multiple stakeholders. Build strong relationships and advocate for user-centred design principles, ensuring that the product meets user needs and provides a positive experience. Skills,Qualificationsand attributes for success UX Design: proficient in creating prototypes that communicate user requirements effectively, and test prototypes to enhance user satisfaction. Strategic Thinking and Business Acumen: ability to develop and implement strategies and expertise in leveraging strategic thinking to identify opportunities and drive business growth. Strong strategic planning and execution skills. Product Management: ability to manage and deliver products and implementation projects across the entire lifecycle. Strong organisational and time management skills. Strong understanding of user-centred design principles, design thinking methodology. Familiarity with project management methodologies (Agile, Waterfall) and experience in leading cross-functional teams. Strong analytical, problem-solving, and creative thinking abilities, with a focus on delivering outcomes and results. A passion for innovation and a relentless drive to deliver exceptional client outcomes. Leverage data to provide companies with fresh insights, empowering the creation of personalised customer experiences. Strong communication and presentation skills, expertise in developing and facilitating client workshops. Ability to create future visions for products and services that inspire and meet service user needs. Stakeholder and Client Engagement and Management: Ability to engage directly with senior client stakeholders. Strong relationship-building and interpersonal skills. To qualify for the role, you must have Extensive experience in a customer practice. Degree in Business augmented by a qualification in STEM (e.g. Computer Science, UX Design, Product Design, Human Factors Engineering) or a related field. If only one qualification, then proven experience in an augmented or related field e.g., a business degree with a background in technology delivery or UX design Proven track record of designing and delivering successful products or delivering digital transformation projects from strategy to implementation. Experience in working with developers, designers, business analysts, and testers to deliver customer-centred technology solutions, digital transformations, and design-led innovation. Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels. Understanding of CMS platforms (e.g. AEM, Sitefinity), CRM platforms (e.g. Microsoft Dynamics, Salesforce), digital and emerging technologies, AI, and data & analytics. Experience with using Figma and Microsoft Azure. Inclusion & Diversity We hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable and everyone experiences a sense of belonging: Inclusion, diversity, and equity are part of who we are at EY. We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients. We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You'll be embraced for who you are and empowered to use your voice to help others find theirs. As an equal opportunities' employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

Lighthouse Games is a dynamic and innovative game development studio, dedicated to creating AAA gaming experiences. As a Principal Game Designer, you will play a pivotal role in shaping the vision and direction of our upcoming projects. Working closely with our talented design team, you will lead the creation of engaging and immersive gameplay experiences. Your expertise in game design and your passion for pushing boundaries will elevate our games to new heights. You will drive the development of innovative game mechanics, systems, and features, ensuring they align with the overall design goals and deliver an exceptional player experience. Key Responsibilities Lead and mentor a team of game designers, providing guidance, support, and feedback Collaborate with cross functional teams including art, engineering, and production to ensure the successful implementation of game features Create comprehensive design documentation, including game mechanics, systems, and level designs Iterate and refine game mechanics and systems based on playtest feedback and player analytics Stay updated on industry trends and best practices to continuously improve and innovate the design process Qualifications and Experience Extensive experience as a game designer, preferably in a senior or principal role Proven track record of designing and shipping successful AAA games Strong knowledge of game design principles and methodologies Exceptional creativity and ability to generate innovative ideas Excellent communication and collaboration skills Ability to lead and inspire a team of designers Passion for gaming and a deep understanding of player motivations Benefits 25 Days Holiday, plus 1 day for your birthday Studio Shutdown between Christmas and New Year Discretionary Bonus Scheme Private Pension Scheme Private Healthcare Health and Well Being Benefits Dental Care Optical treatments Mental Health Support

Senior Data Analyst (Revenue) Department: Technology & Data Employment Type: Full Time Location: Trimble Offices, Morley Description About the team: At Vintage Cash Cow, data is how we scale impact. Every customer journey, from sending in pre-loved items to getting paid, is informed by the insights we generate, the models we build, and the decisions we enable. Our Data team sits at the heart of this transformation, partnering closely with Technology & Product, and the wider business to turn information into action. We focus on building trusted, scalable data foundations and delivering insight that drives smarter decisions across the organisation. This is a team where curiosity meets craft: blending analytical thinking, technical excellence, and a strong commercial mindset to deliver insight that feels clear, useful, and future-focused. About the role: We're looking for a data-first, insight-hungry Data Analyst to help us deepen how data drives decisions across Vintage Cash Cow. You'll own revenue analytics across our entire value chain. From acquisition pricing optimisation across diverse product categories to channel performance and sell-through strategy. Your work will directly influence how we price incoming goods, which sales channels we prioritise, and how we maximise margin across our multi-category, multi-channels business model. You won't be starting from scratch, you'll be joining an established, data-savvy team with strong foundations already in place. Our rebuilt modern data platform (FiveTran, Snowflake, dbt, Sigma) gives you everything you need to dive in fast and make an impact from day one. Key Goals & Objectives Provide clear, accurate insight into revenue, margin, and performance drivers. Support pricing, forecasting, and growth decisions with high-quality analysis. Improve speed and confidence in commercial decision-making. Enable a culture of data-led revenue optimisation across the business. Key Responsibilities & Skills Revenue & Commercial Analytics: Own end-to-end revenue reporting and analysis across product categories and sales channels Build predictive models for pricing optimisation, demand forecasting, and sell-through rates Analyse category-level economics to identify margin opportunities and optimize acquisition pricing Evaluate channel performance to inform strategic resource allocation Partner with commercial teams on A/B testing for pricing strategies and channel experiments Monitor and report on key revenue metrics: ASP by category, channel contribution margin, inventory turns, days to sale, etc. Commercial Partnership Partner closely with stakeholders across the business to understand revenue goals. Translate complex analysis into clear commercial recommendations. Present insights that directly influence pricing, growth strategy, and operational decisions. Continuous Improvement Contribute to developing data best practices, standards, and governance. Collaborate with engineers to improve data pipelines and performance. Stay curious, explore new BI tools, AI integrations, and analytical techniques that can enhance how we use data. Essential Skills & Experience: Expert-level SQL skills with experience building complex data models for financial and commercial analysis Experience with BI tools (Sigma, Power BI, Tableau, Looker, or similar). Solid understanding of modern data platforms (e.g. Snowflake, dbt, FiveTran). Strong communicator who can translate data into business impact. Strong commercial mindset, you care about revenue impact, not just outputs. Experience collaborating in cross-functional environments. Experience in e-commerce, marketplace, or re-commerce business models Knowledge of pricing optimisation techniques or dynamic pricing strategies Experience with experimentation frameworks (A/B testing, incrementality testing) Intermediate knowledge of Python for data analysis.

Overview Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or Colombia.

Atlassians can choose where they work - office, home, or a combination. We can hire people in any country where we have a legal entity. DX's Solutions Engineering Team at Atlassian is seeking a highly skilled and passionate Solutions Architect to be a key driver in the successful adoption and long-term growth of the DX product (). You will serve as the technical authority for our customers after the sale, dedicated to solving our Enterprise customers' most complex implementation challenges and ensuring they realize maximum value from our solutions. Overview Responsibilities Lead Technical Implementation: Partner closely with Customer Success Managers to drive and lead all technical aspects of the post-sales lifecycle, including onboarding, complex integrations, and system architecture, ensuring a seamless transition from evaluation to production. Architecture and Strategy: Lead technical deep-dive sessions to understand a customer's long-term engineering goals, mapping the DX platform into their existing workflows and organizational structures. Custom Solution Engineering: Design and build tailored technical solutions-often creating integrations or workflows that don't yet exist-to connect the DX APIs with complex client environments and satisfy unique business requirements. Consultative Implementation: Ask thoughtful, detailed questions to navigate the nuances of a customer's engineering processes, branching strategies, and deployment pipelines to ensure the platform is configured for optimal performance. Trusted Advisory: Act as the technical "North Star" for Enterprise clients, providing strategic guidance on best practices for developer experience (DX) analytics, deployment methodologies, and cultural transformation. Feedback Loop: Capture and synthesize technical feedback and friction points from active customers to collaborate closely with the Product and Engineering teams, directly informing the product roadmap and feature enhancements. Technical Skills: Exposure to programming (Ruby/Rails or Python) with a solid understanding of APIs and RESTful services. Experience with version control systems like Git and the GitHub CLI. Familiarity with SQL (Postgres preferred) and the ability to leverage data for analytical solutioning. Knowledge of CI/CD pipelines, deployment workflows, and branching strategies. Consultative Skills: Excellent communication and presentation skills, with extensive experience leading high-stakes technical workshops and executive-level discussions. Ability to translate complex technical architecture into clear business outcomes and value. Strong organizational skills to manage the technical delivery and resource requirements across multiple Enterprise implementations simultaneously. Benefits Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. Don't see an exact role match? No problem! Join our Talent Community and stay up-to-date on company and careers updates relevant to your career.

The Chief Operating Officer is the Trust's key executive leader for all operational domains (People; Estates & Capital; Digital & Technology; Governance & Compliance; Commercial & Business Services). Working with, and deputising for, the CEO, they will ensure that the Trust operates consistently as a data-informed, single organisation; ensuring we are structured, equipped, and ready to deliver on our educational priorities and growth ambitions. With regard to leading operations; the role is about engineering the conditions for excellence, building a scalable operating model for a Trust with aspirations to grow, and ensuring that every aspect of ESF's infrastructure, systems and resources strengthens teaching, learning, inclusion, and impact. You will lead transformation of Trust's operational architecture, across multiple disciplines to facilitate an agile organization; working closely with executive stakeholders, their direct reports and Trustees to ensure that operational systems and resources (people, data, estates, and digital tools) are aligned to our mission and deliver maximum value for learners, staff, and communities. Key Responsibilities 1. Strategic Operational Leadership Lead and execute a Trust-wide operational strategy aligned to educational priorities Translate vision into measurable objectives and aligned operational delivery Shape a long-term scalable operating model Provide expert, data-driven, evidence-informed advice to CEO and Trustees Deputise for the CEO when required, including external representation 2. Financial Stewardship Support the CFO in ensuring strong internal controls, audit and risk frameworks enabling the prompt resolution of audit actions Deliver value for money and long-term financial resilience within the operational context Support Trustees and Audit & Risk Committee with high-quality reporting Working with the CFO, support the CEO in their oversight of financial planning, forecasting and sustainability compliance with DfE requirements and the Academy Trust Handbook 3. Building an Operating Model for Scale Embed service standards and performance frameworks across operational domains Enable delivery of data dashboards and real-time performance insight and decision making Drive digital-first, automated and collaborative systems Enable the development of systems that eliminate duplication and improve cost-to-serve Align central and site-based operational functions 4. People, Culture & Workforce Enable delivery of the Trust's People Strategy Create an environment where leadership capability and succession pipelines are facilitated and enabled Strengthen workforce planning and staff wellbeing through the leadership of their team Embed a high-performance, high-trust culture 5. Digital, Data & Technology Enable digital transformation of the Trust and across all areas, including AI deployment, to meet organisational priorities and aligned with national strategy. Drive a strategy where cloud-first and automated systems are effective and seen as routine solutions Lead and embed a culture that develops a cyber-threat awareness and strengthens resilience Ensure appropriate digital tools are selected, procured, implemented and evaluated so that teaching, leadership and governance are facilitated and improved 6. Estates, Infrastructure & Capital Lead long-term estates and capital strategy Ensure compliance, maintenance, sustainability and innovation Lead the delivery of capital projects on time and on budget Secure external funding (including, but not limited to, SCA.) Ensure full statutory compliance across all sites 7. Corporate Services & Governance Ensure high-quality central administrative and analytics services Provide Trustees with assurance, transparency and oversight Maintain effective systems to record and document governance decision making and responsibilities Ensure compliance with charity law, company law and data protection 8. Growth, Integration & Change Lead due diligence for prospective schools Lead the development of integration success measures on adoption of new schools, supporting their assimilation through effective deployment of operational resources Deliver transformational change programmes Ensure infrastructure is capable of supporting a growth trajectory