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• About the Role, • NPL are looking to recruit an Higher Scientist to work in the Ultrasound and Underwater Acoustics Group within the Underwater Acoustics area. We are looking for early career scientists and engineers, ideally with a graduate qualification in Physics, Acoustics or related discipline, with either experience in industry or academia or post-graduate qualification. As an Acoustical Higher Scientist, you'll be expected to acquire new knowledge to find solutions to advance our research, requiring a careful, methodical approach and attention to detail. Also, if commercial opportunities arise from your work, you'll need to flag these – as this is how new products and services are born. At NPL, we learn from each other, respect each other, and work together to do better for ourselves and our customers. NPL is world-leading in this area of metrology, and has a suite of dedicated facilities including laboratory tanks and an acoustics pressure vessel. The successful candidates will join NPL at an exciting time of growth where there will be a great opportunity to maximise impact from high-quality science. Your work will involve: • Developing improved techniques for underwater acoustic measurement and calibration utilising the above specialised laboratory facilities, • Developing experimental techniques for acoustic measurement for delivery to customers and collaborators, • Delivering NPL’s scientific work, including the delivery of measurement services and contributing to research and development projects, • The opportunity to contribute to scientific outputs through journal publications and scientific conferences. In addition, the general duties and responsibilities of your role will include: • Sharing your learnings so that we all benefit and mentoring those with less experience than you, • Developing partnerships to strengthen our capability, • Acting as an ambassador for our work externally and being willing to promote what we do, • Providing technical support for any bids, we may be undertaking, • About You, • To be successful in this Higher Scientist role, you should have a science-related degree and be an expert in your field. You should also be used to leading, planning, and delivering complex research projects from conception to fruition. Beyond that, we're looking for someone who'll thrive in an environment like ours. What you will bring to the role: • Understanding of the underlying physical principles, qualified to degree level, • Knowledge of acoustics and/or marine acoustic technology, • Demonstrable experience and track record for precise experimental work, • Aptitude for critical thinking and problem solving., • Strong personal motivation, the ability to interact, collaborate and network with colleague’s collaborators and future customers, • Ability to work towards deadlines in a busy environment, • Good communication skills, both verbal and written. It would be great if you did have: • Experienced in data analysis techniques, • Familiarity with systems engineering, • Experience with software packages such as Matlab and LabView We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role, you will need to have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical About Us The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. Find out more about what it is like working here - ___NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we ensure we’re creating an environment where all our colleagues feel supported and welcome. More about this on our ___ page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of ___. ___ are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please ___

The Role As a Data Scientist, you will focus on translating advanced AI/ML research into scalable, production-ready solutions that drive business impact for Vanguard. You will collaborate closely with business units, product teams, and stakeholders to design, implement, and deploy data-driven models that optimize processes, enhance client experiences, and support strategic decision-making. This role requires a balance of technical expertise, software engineering rigor, and business acumen to deliver practical, high-quality solutions in real-world financial applications. Core Responsibilities • Develop and deploy machine learning models (e.g., time-series forecasting, NLP pipelines, generative AI tools) to solve specific business challenges in finance, such as risk modeling, portfolio optimization, or client personalization, • Partner with cross-functional teams to identify business needs, translate requirements into technical specifications, and validate model performance in production environments, • Optimize existing AI/ML workflows for scalability, efficiency, and reliability using frameworks like PyTorch, TensorFlow, or cloud-based infrastructure, • Collaborate with research scientists to adapt cutting-edge algorithms (e.g., LLM fine-tuning, reinforcement learning) into actionable business solutions, • Document and maintain codebases, ensuring reproducibility, version control, and alignment with industry best practices (e.g., CI/CD pipelines), • Mentor junior team members and educate stakeholders on AI/ML capabilities, limitations, and ethical considerations What It Takes • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, Analytics, Economics, or a closely related field. (Graduate degree strongly preferred; equivalent advanced training and experience considered.), • Experience: Proven hands-on experience in advanced analytics, applied data science, or machine learning engineering, with a proven track record in the financial services industry or similar complex domains, • Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep experience in applied mathematics, statistical modeling, machine learning, and AI applications, • Production Impact: Successfully deployed multiple ML models to production environments, with direct business impact (e.g., measurable improvements in KPIs, cost savings, or risk reduction). Experience with containerization (Docker, Kubernetes), CI/CD, SDLC, and MLOps/observability practices, • Advanced Methods: Expertise in NLP, deep learning, transformer-based models, and generative AI. Proven ability to define and track value metrics, run experimentation (A/B testing, causal inference), and drive stakeholder adoption from MVP through scale, • Domain Knowledge: Familiarity with financial domains such as asset management and risk analytics, with a history of delivering quantifiable business outcomes (e.g., increased revenue, reduced risk, improved operational efficiency), • Communication & Influence: Exceptional verbal and written communication skills, with the ability to articulate complex data science concepts and technical results to non-technical stakeholders and senior leadership. Experience leading cross-functional teams and driving adoption of analytics solutions, • Leadership: Demonstrated success in mentoring and developing junior talent, leading organization-wide training initiatives, and fostering a culture of innovation and collaboration Special Factors • Vanguard is not offering sponsorship for this position, • This is a hybrid position and would require you to work in the office Tuesday-Thursday Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value to investors. Inclusion Statement Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to equal employment opportunity Vanguard is an equal opportunity employer. Vanguard is committed to providing all crew members a working environment that is free from discrimination, prejudice and bias. Through this Equal Employment Opportunity (EEO) Policy, Vanguard reaffirms its commitment to equal employment opportunity for all applicants and crew members without regard to race, color, national origin or ancestry, religion, gender, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran or military status. In addition, Vanguard prohibits discrimination based on genetic information, as well as any other characteristic protected by federal, state or local law. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Vanguard. Please inform if you need assistance completing this application or to otherwise participate in the application process. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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