Join RSSB as Principal Data Scientist and lead the delivery of AI and machine learning solutions that make a real impact across the rail industry. In this senior role, you'll identify high-value opportunities, engage stakeholders, and ensure our digital products solve real-world challenges. You'll mentor and develop the team, champion best practices, and represent RSSB's Data Science and AI capability across the sector. You'll drive innovation by introducing new tools and frameworks, inspiring a culture of continuous improvement and experimentation. Success will be measured by the delivery of high-impact solutions, stakeholder satisfaction, and the growth of the team. This is a permanent role based at the RSSB office in Fenchurch Avenue with hybrid working. In-office days will be based in the City of London, supported by a commuting travel subsidy benefit. The close date for the role is 11th December 2025. What you'll do: Promote RSSB's Data Science and AI capabilities internally and externally, positioning the team as a trusted partner and thought leader. Identify and prioritise opportunities for AI enabled digital solutions by engaging with both external partners and internal subject matter experts. Lead the team in navigating complex, ambiguous, and novel challenges, making informed decisions in situations with incomplete information. Drive the development and delivery of Machine Learning (ML) and AI solutions, acting as technical lead and ensuring alignment with business objectives. Foster a culture of adaptability and resilience, ensuring the team thrives in a rapidly evolving environment. Contribute to team strategy, and the development and implementation of policy, processes, standards and guidelines. Full role details can be found in the job description attached. What we're looking for: Proven practical experience in stakeholder engagement to understand pain points and resolve them using data and advanced analytics. Extensive experience developing production ML (and AI) solutions in Python, using code repositories. Demonstrated experience deploying, testing, and monitoring ML solutions. Proven experience leading development teams using Agile methodologies and tools. Experience working with subject matter experts to refine analyses and interpret insights. Experience collaborating with architects, data engineers, and web developers to deliver cloud-based tools. Experience managing and mentoring less experienced colleagues, providing guidance on development activities and upskilling in technical and soft skills. Effective communication skills, with the ability to explain complex ideas to diverse audiences. Ability to adapt and respond effectively to new opportunities, change, and uncertainty. Commitment to customer service and delivering outcomes that meet stakeholder needs. Inclusive leadership style, with a focus on developing and retaining talent and ensuring all voices are heard. Experience managing teams to budgets and project timelines. Ability to define and track success metrics for digital solutions. Why Join RSSB? We value our people and offer a competitive benefits package, including: 30 days annual leave (plus bank holidays) Private medical and dental cover Flexible and hybrid working options Season ticket loan and travel subsidy Cycle to work scheme Volunteer leave Performance-related bonus Pension scheme Learning and development opportunities Ready to Apply? Apply now and help us shape the future of railway standards. We value diversity and equal opportunities in employment and are committed to creating a workplace which is inclusive to everyone. As a member of the Disability Confident Scheme , we encourage candidates with disabilities who meet the minimum criteria, to apply for our jobs. If you have applied under the Disability Confident Scheme, please let us know in advance by emailing Find out more about Diversity and Inclusion at RSSB: Rail Safety and Standards Board Careers - VERCIDA If you require any reasonable adjustments with respect to our selection process including information in an alternative format, please contact us at We understand the importance of work-life balance, and we offer our staff the flexibility to work within our core hours and the option to vary their location between both the office and home. If you are looking for further flexibility, speak to us at interview stage so that we can consider your request.
Dec 08, 2025
Full time
Join RSSB as Principal Data Scientist and lead the delivery of AI and machine learning solutions that make a real impact across the rail industry. In this senior role, you'll identify high-value opportunities, engage stakeholders, and ensure our digital products solve real-world challenges. You'll mentor and develop the team, champion best practices, and represent RSSB's Data Science and AI capability across the sector. You'll drive innovation by introducing new tools and frameworks, inspiring a culture of continuous improvement and experimentation. Success will be measured by the delivery of high-impact solutions, stakeholder satisfaction, and the growth of the team. This is a permanent role based at the RSSB office in Fenchurch Avenue with hybrid working. In-office days will be based in the City of London, supported by a commuting travel subsidy benefit. The close date for the role is 11th December 2025. What you'll do: Promote RSSB's Data Science and AI capabilities internally and externally, positioning the team as a trusted partner and thought leader. Identify and prioritise opportunities for AI enabled digital solutions by engaging with both external partners and internal subject matter experts. Lead the team in navigating complex, ambiguous, and novel challenges, making informed decisions in situations with incomplete information. Drive the development and delivery of Machine Learning (ML) and AI solutions, acting as technical lead and ensuring alignment with business objectives. Foster a culture of adaptability and resilience, ensuring the team thrives in a rapidly evolving environment. Contribute to team strategy, and the development and implementation of policy, processes, standards and guidelines. Full role details can be found in the job description attached. What we're looking for: Proven practical experience in stakeholder engagement to understand pain points and resolve them using data and advanced analytics. Extensive experience developing production ML (and AI) solutions in Python, using code repositories. Demonstrated experience deploying, testing, and monitoring ML solutions. Proven experience leading development teams using Agile methodologies and tools. Experience working with subject matter experts to refine analyses and interpret insights. Experience collaborating with architects, data engineers, and web developers to deliver cloud-based tools. Experience managing and mentoring less experienced colleagues, providing guidance on development activities and upskilling in technical and soft skills. Effective communication skills, with the ability to explain complex ideas to diverse audiences. Ability to adapt and respond effectively to new opportunities, change, and uncertainty. Commitment to customer service and delivering outcomes that meet stakeholder needs. Inclusive leadership style, with a focus on developing and retaining talent and ensuring all voices are heard. Experience managing teams to budgets and project timelines. Ability to define and track success metrics for digital solutions. Why Join RSSB? We value our people and offer a competitive benefits package, including: 30 days annual leave (plus bank holidays) Private medical and dental cover Flexible and hybrid working options Season ticket loan and travel subsidy Cycle to work scheme Volunteer leave Performance-related bonus Pension scheme Learning and development opportunities Ready to Apply? Apply now and help us shape the future of railway standards. We value diversity and equal opportunities in employment and are committed to creating a workplace which is inclusive to everyone. As a member of the Disability Confident Scheme , we encourage candidates with disabilities who meet the minimum criteria, to apply for our jobs. If you have applied under the Disability Confident Scheme, please let us know in advance by emailing Find out more about Diversity and Inclusion at RSSB: Rail Safety and Standards Board Careers - VERCIDA If you require any reasonable adjustments with respect to our selection process including information in an alternative format, please contact us at We understand the importance of work-life balance, and we offer our staff the flexibility to work within our core hours and the option to vary their location between both the office and home. If you are looking for further flexibility, speak to us at interview stage so that we can consider your request.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time. About the role As a Senior Manager within our National Security team, you'll lead mission critical work for discerning and highly AI literate customers in the UK Government and for international partners. This is a fast paced and demanding role which, in addition to mission area context, requires programme delivery mastery and an ability to think thoughtfully and creatively about the role for AI in keeping the UK and its citizens safe. You can expect to lead portfolios of work for our customers, which range from experimental applications of emerging technologies, to products that we progress through a complete development lifecycle and deploy for users in Government. What you'll be doing: Overseeing, and providing thought leadership on, the delivery of multiple programmes of work for the National Security community, including strategy, R&D, and product builds. Forming strong, trusting relationships with Government customers, data scientists and wider networks of National Security practitioners. Developing and owning compelling proposals to grow our National Security portfolio. Advising clients on AI strategy and technical implementation, acting as a trusted partner and consultant. Mentoring and developing team members, aligning their responsibilities with the critically important National Security work for which we're responsible. Supporting wider delivery work as a Senior Manager when needed to ensure maximum strategic flexibility and commercial impact. Who we're looking for: You bring proven experience in National Security safety, possibly from Government, academia, or roles in industry. You have a demonstrable interest and understanding of AI and ML concepts and can think creatively about their application for a range of National Security challenges. You understand the commercial consulting delivery model, allowing you to focus immediately on account growth and project oversight. You possess the flexibility to support broader Senior Manager work and embrace an entrepreneurial approach to a highly visible portfolio. You thrive in ambiguous settings and demonstrate a structured approach to problem-solving and delivering high-quality, high-stakes work. The Interview Process Talent Team Screen (30 minutes), Introduction to the team (60 minutes), Case Study Interview (60 minutes), Culture and Leadership Interview (60 minutes) What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Dec 08, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these customers from time to time. About the role As a Senior Manager within our National Security team, you'll lead mission critical work for discerning and highly AI literate customers in the UK Government and for international partners. This is a fast paced and demanding role which, in addition to mission area context, requires programme delivery mastery and an ability to think thoughtfully and creatively about the role for AI in keeping the UK and its citizens safe. You can expect to lead portfolios of work for our customers, which range from experimental applications of emerging technologies, to products that we progress through a complete development lifecycle and deploy for users in Government. What you'll be doing: Overseeing, and providing thought leadership on, the delivery of multiple programmes of work for the National Security community, including strategy, R&D, and product builds. Forming strong, trusting relationships with Government customers, data scientists and wider networks of National Security practitioners. Developing and owning compelling proposals to grow our National Security portfolio. Advising clients on AI strategy and technical implementation, acting as a trusted partner and consultant. Mentoring and developing team members, aligning their responsibilities with the critically important National Security work for which we're responsible. Supporting wider delivery work as a Senior Manager when needed to ensure maximum strategic flexibility and commercial impact. Who we're looking for: You bring proven experience in National Security safety, possibly from Government, academia, or roles in industry. You have a demonstrable interest and understanding of AI and ML concepts and can think creatively about their application for a range of National Security challenges. You understand the commercial consulting delivery model, allowing you to focus immediately on account growth and project oversight. You possess the flexibility to support broader Senior Manager work and embrace an entrepreneurial approach to a highly visible portfolio. You thrive in ambiguous settings and demonstrate a structured approach to problem-solving and delivering high-quality, high-stakes work. The Interview Process Talent Team Screen (30 minutes), Introduction to the team (60 minutes), Case Study Interview (60 minutes), Culture and Leadership Interview (60 minutes) What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jot Title: Software Engineer x2 Positions: Senior Software Engineer, Team Lead Permanent Staff Positions Location: Abingdon, just outside London Hybrid working available, ideally 3 days based in the office Salary: please get in touch and I will reply straight away with salary details (highly negotiable) Must have skills: - Java, Eclipse RCP/SWT - Strong problem-solving abilities - Clear communication skills - Evidence of being able to solve algorithmic problems - Evidence of experience working on large monolithic thick-client applications and demonstrate how they are different than web-based applications from an engineering perspective Very nice to have: - Experience with using AI with development - Domain experience (Geophysics or another geoscience related field) Subsurface Senior Java Application developer Responsibilities include: â Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software solutions. â Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon, fault, velocity model, etc.) â Present architectural designs and technical proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools â Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of DSG application. â Mentor junior developers and actively contribute to architectural and implementation decisions. â Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint â Stay current with emerging technologies and trends in geophysical computing and software development. Required Education and Skills â BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. â Minimum of 10 years of experience in software development using Java â Ability to break down complex development tasks and define clear, actionable implementation of roadmaps. â Strong Java proficiency is required â C++ knowledge and experience a strong benefit â Proficiency with development tools and environments: o GitLab, Eclipse RCP/SWT, VS Code, CI/CD pipelines o Performance tools: VisualVM, JMC/JFR, Async o Operating systems: Windows and Linux â Hands-on experience using GitHub Copilot to accelerate code implementation and enhance development productivity. â Must be self-motivated but be able to work well in a team environment Desired Experience â Knowledge with geoscience software tools and formats: o SEG-Y, Landmark seismic BRICK, CMP, OpenVDS o DSG, Petrel, Kingdom, GeoFrame, or PaleoScan â Familiarity with cloud platforms and distributed computing: o Restful API design and implementation o AWS and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C++/Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
Dec 05, 2025
Full time
Jot Title: Software Engineer x2 Positions: Senior Software Engineer, Team Lead Permanent Staff Positions Location: Abingdon, just outside London Hybrid working available, ideally 3 days based in the office Salary: please get in touch and I will reply straight away with salary details (highly negotiable) Must have skills: - Java, Eclipse RCP/SWT - Strong problem-solving abilities - Clear communication skills - Evidence of being able to solve algorithmic problems - Evidence of experience working on large monolithic thick-client applications and demonstrate how they are different than web-based applications from an engineering perspective Very nice to have: - Experience with using AI with development - Domain experience (Geophysics or another geoscience related field) Subsurface Senior Java Application developer Responsibilities include: â Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software solutions. â Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon, fault, velocity model, etc.) â Present architectural designs and technical proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools â Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of DSG application. â Mentor junior developers and actively contribute to architectural and implementation decisions. â Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint â Stay current with emerging technologies and trends in geophysical computing and software development. Required Education and Skills â BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. â Minimum of 10 years of experience in software development using Java â Ability to break down complex development tasks and define clear, actionable implementation of roadmaps. â Strong Java proficiency is required â C++ knowledge and experience a strong benefit â Proficiency with development tools and environments: o GitLab, Eclipse RCP/SWT, VS Code, CI/CD pipelines o Performance tools: VisualVM, JMC/JFR, Async o Operating systems: Windows and Linux â Hands-on experience using GitHub Copilot to accelerate code implementation and enhance development productivity. â Must be self-motivated but be able to work well in a team environment Desired Experience â Knowledge with geoscience software tools and formats: o SEG-Y, Landmark seismic BRICK, CMP, OpenVDS o DSG, Petrel, Kingdom, GeoFrame, or PaleoScan â Familiarity with cloud platforms and distributed computing: o Restful API design and implementation o AWS and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C++/Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
Dec 05, 2025
Full time
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
