What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. A little more about your role Do you have a keen interest in environmental policy and an enthusiasm for developing solutions to complex and challenging problems? Are you looking for the ideal opportunity to take you career in environmental consultancy to the next level? If so, we are seeking a high calibre junior level economist to join our growing team at WSP in Brussels. The role is in WSP's Environmental Policy and Economics team, based in our Brussels office, and working globally in collaboration with colleagues across the UK, Europe and Canada. The team provides robust, impartial and influential advice on policy development and strategic response across the full policy lifecycle (policy development and assessment; implementation; review, evaluation and revision). WSP is the world's leading engineering company, specialising in infrastructure, transport, earth, environment, power, energy, property, buildings and advisory. This is an exceptional opportunity for the right candidate, opening your potential for career development, exposure to diverse projects as well as international travel in a friendly and supportive environment. YOUR TEAM WSP is at the forefront of providing policy and economic advisory services to the public and private sector across the EU and UK. WSP's Environmental Policy and Economics team is a market leader in providing policy, technical and economic advice on the development and implementation of environmental policy and business response to policy. We have an extensive track record across all major environmental fields including chemicals and water policy, industrial emissions, air quality, waste, circular economy, taxonomy, biodiversity, climate change mitigation and adaptation. Working with us will bring you into contact with policy makers at the highest level and your input will contribute to protecting and improving the environment for millions of people across multiple countries. Our reputation for robust and impartial analysis means our projects directly influence the development and improvement of environmental policies in the UK, EU and beyond, addressing some of the most challenging issues we face. Our work with the likes of national Governments, EU institutions and agencies, international bodies such as the United Nations and World Bank, alongside industry associations and major global companies stretches our positive influence around the world. WSP's Environmental Policy and Economics team is based across our offices in the UK (London, Reading, Bristol, Manchester and Edinburgh) and Belgium (Brussels). The team works alongside our broader global advisory services, bringing together a worldwide community of environmental specialists numbering more than people over more than 50 countries. Our Belgium based team is looking to increase our presence in the heart of EU policy making. Located in the heart of Brussels, our multi disciplinary team will involve you in EU projects from day one whilst providing you with training, career development and personal support services that will assist you in becoming a recognised expert in your fields of interest. You will be joining the business at an extremely exciting time, with an expanding team, strong forward workload, and an ambitious strategy for growth. In this role you will: Work in multi disciplinary teams, contributing to policy development, implementation and evaluation; economic analysis; cost benefit analysis; information/data collection and analysis; socio economic assessment; stakeholder consultation; report writing and verbal presentation. Support the delivery of a diverse range of environmental policy projects at national and international level, for clients such as international organisations (e.g. OECD, United Nations); EU institutions and agencies (European Commission, European Chemicals Agency, European Environment Agency); national governments (e.g. Canada, EU Member States, the UK, etc.); and the private sector. Actively engage with clients and stakeholders from the public and private sectors, building and maintaining relationships to identify new business opportunities. Support the winning of new environmental policy projects through effective proposal writing and presentations, and represent WSP at relevant EU policy forums, conferences, and meetings. What we will be looking for you to demonstrate We are looking for candidates with experience in the consultancy environment or other relevant industry with a core background in environmental economics. Relevant work experience may be within a consultancy, government, research agency/think tank, NGO or private sector / industry organisation or relevant placement The role requires knowledge of economic theory and socio economic techniques to environmental and other policies at national and/or international level, including cost benefit and cost effectiveness analysis; ex post evaluation; impact assessment; valuation of human health and social and environmental effects of policies; and assessing economic competitiveness. Our ideal candidate will have the following qualifications, experience and skills: A postgraduate qualification in environmental economics/economics is essential; an undergraduate degree in one of the following areas is desirable: environmental science; environmental management, technology, economics, engineering, policy; law. A focus on microeconomics and/or economics for public policy is an advantage A demonstrable interest in developing a career in environmental policy (e.g. related to one or several of the thematic areas mentioned above), and knowledge of the policy landscape associated with those thematic policy areas. Demonstrable research skills and understanding of analytical techniques e.g. the collection, validation, analysis and synthesis of data, summarizing and critically evaluating literature, designing and conducting stakeholder consultations, dissemination of surveys, market analysis; socio economic analysis; regulatory impact assessment. Familiarity with national and international sources of government and business statistics would be desirable. Strong mathematical skills, covering quantitative analysis, data management, statistical modelling. Excellent organisational skills, demonstrating the ability to take the initiative and the ability to plan your work and adhere to fixed deadlines; and the ability to work independently with minimal supervision. Excellent written and verbal communication skills to present findings, policy recommendations, and project updates to clients, stakeholders, and the broader public; ability to write clear and concise reports in English, and for non technical audiences. Strong expertise in policy evaluation and impact assessment methodologies, using data driven approaches to inform decision making and policy recommendations. Applications from those with European language skills are particularly welcome. WHAT YOU'LL LIKE ABOUT US: A working environment inspired by belonging, driven by inclusion. Our flexible working policy - We recognise the importance of work life balance and encourage you to find yours. WSP is about making the world around us a better place, including the environment, transport infrastructure, buildings and land use. Excellent career prospects. We're growing fast, and every day we strive to outdo ourselves. We are open to your ideas and want to try new things. We have a supportive environment that invests in your development and training. WSP is about embracing a culture of collaboration with colleagues who stand out for their skills. Come and discover our fantastic team! Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today
Mar 22, 2026
Full time
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. A little more about your role Do you have a keen interest in environmental policy and an enthusiasm for developing solutions to complex and challenging problems? Are you looking for the ideal opportunity to take you career in environmental consultancy to the next level? If so, we are seeking a high calibre junior level economist to join our growing team at WSP in Brussels. The role is in WSP's Environmental Policy and Economics team, based in our Brussels office, and working globally in collaboration with colleagues across the UK, Europe and Canada. The team provides robust, impartial and influential advice on policy development and strategic response across the full policy lifecycle (policy development and assessment; implementation; review, evaluation and revision). WSP is the world's leading engineering company, specialising in infrastructure, transport, earth, environment, power, energy, property, buildings and advisory. This is an exceptional opportunity for the right candidate, opening your potential for career development, exposure to diverse projects as well as international travel in a friendly and supportive environment. YOUR TEAM WSP is at the forefront of providing policy and economic advisory services to the public and private sector across the EU and UK. WSP's Environmental Policy and Economics team is a market leader in providing policy, technical and economic advice on the development and implementation of environmental policy and business response to policy. We have an extensive track record across all major environmental fields including chemicals and water policy, industrial emissions, air quality, waste, circular economy, taxonomy, biodiversity, climate change mitigation and adaptation. Working with us will bring you into contact with policy makers at the highest level and your input will contribute to protecting and improving the environment for millions of people across multiple countries. Our reputation for robust and impartial analysis means our projects directly influence the development and improvement of environmental policies in the UK, EU and beyond, addressing some of the most challenging issues we face. Our work with the likes of national Governments, EU institutions and agencies, international bodies such as the United Nations and World Bank, alongside industry associations and major global companies stretches our positive influence around the world. WSP's Environmental Policy and Economics team is based across our offices in the UK (London, Reading, Bristol, Manchester and Edinburgh) and Belgium (Brussels). The team works alongside our broader global advisory services, bringing together a worldwide community of environmental specialists numbering more than people over more than 50 countries. Our Belgium based team is looking to increase our presence in the heart of EU policy making. Located in the heart of Brussels, our multi disciplinary team will involve you in EU projects from day one whilst providing you with training, career development and personal support services that will assist you in becoming a recognised expert in your fields of interest. You will be joining the business at an extremely exciting time, with an expanding team, strong forward workload, and an ambitious strategy for growth. In this role you will: Work in multi disciplinary teams, contributing to policy development, implementation and evaluation; economic analysis; cost benefit analysis; information/data collection and analysis; socio economic assessment; stakeholder consultation; report writing and verbal presentation. Support the delivery of a diverse range of environmental policy projects at national and international level, for clients such as international organisations (e.g. OECD, United Nations); EU institutions and agencies (European Commission, European Chemicals Agency, European Environment Agency); national governments (e.g. Canada, EU Member States, the UK, etc.); and the private sector. Actively engage with clients and stakeholders from the public and private sectors, building and maintaining relationships to identify new business opportunities. Support the winning of new environmental policy projects through effective proposal writing and presentations, and represent WSP at relevant EU policy forums, conferences, and meetings. What we will be looking for you to demonstrate We are looking for candidates with experience in the consultancy environment or other relevant industry with a core background in environmental economics. Relevant work experience may be within a consultancy, government, research agency/think tank, NGO or private sector / industry organisation or relevant placement The role requires knowledge of economic theory and socio economic techniques to environmental and other policies at national and/or international level, including cost benefit and cost effectiveness analysis; ex post evaluation; impact assessment; valuation of human health and social and environmental effects of policies; and assessing economic competitiveness. Our ideal candidate will have the following qualifications, experience and skills: A postgraduate qualification in environmental economics/economics is essential; an undergraduate degree in one of the following areas is desirable: environmental science; environmental management, technology, economics, engineering, policy; law. A focus on microeconomics and/or economics for public policy is an advantage A demonstrable interest in developing a career in environmental policy (e.g. related to one or several of the thematic areas mentioned above), and knowledge of the policy landscape associated with those thematic policy areas. Demonstrable research skills and understanding of analytical techniques e.g. the collection, validation, analysis and synthesis of data, summarizing and critically evaluating literature, designing and conducting stakeholder consultations, dissemination of surveys, market analysis; socio economic analysis; regulatory impact assessment. Familiarity with national and international sources of government and business statistics would be desirable. Strong mathematical skills, covering quantitative analysis, data management, statistical modelling. Excellent organisational skills, demonstrating the ability to take the initiative and the ability to plan your work and adhere to fixed deadlines; and the ability to work independently with minimal supervision. Excellent written and verbal communication skills to present findings, policy recommendations, and project updates to clients, stakeholders, and the broader public; ability to write clear and concise reports in English, and for non technical audiences. Strong expertise in policy evaluation and impact assessment methodologies, using data driven approaches to inform decision making and policy recommendations. Applications from those with European language skills are particularly welcome. WHAT YOU'LL LIKE ABOUT US: A working environment inspired by belonging, driven by inclusion. Our flexible working policy - We recognise the importance of work life balance and encourage you to find yours. WSP is about making the world around us a better place, including the environment, transport infrastructure, buildings and land use. Excellent career prospects. We're growing fast, and every day we strive to outdo ourselves. We are open to your ideas and want to try new things. We have a supportive environment that invests in your development and training. WSP is about embracing a culture of collaboration with colleagues who stand out for their skills. Come and discover our fantastic team! Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today
AWE is currently recruiting for a People Analyst to assess and maintain the quality of HR data within our HRIS and support the business with people data requirements. Location: Located in Reading, with free onsite parking . Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Ready to play your part? At AWE, it's not just a job, it's far more than that. Our shared purpose is to help keep the nation safe. Could this role be the opportunity for you to play your part? As the People Analyst, you will leverage data to provide insights into workforce trends and organisational effectiveness through analysing, and interpreting people-related data to support strategic decision-making and improve business outcomes. As part of your role, you will be responsible for: Support identification of organisational health challenges, and develop solutions through modelling, scenario testing and benchmarking. Provide high-quality data analysis, reports, and insights to support functional and leadership decision-making. Support implementation and maintenance of an IT system that meets business needs and aligns with the Digital Roadmap. Uphold high standards in environment, safety, health, security, and quality, and contribute positively to the team. Who are we looking for? We are ideally seeking a highly inquisitive individual with previous experience analysing and reporting on data to deliver insights, using BI tools to spot trends and present findings visually. We do need you to have the following: A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Psychology, Business, Computer Science, Finance, Engineering, or Human Resources. Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Ability to translate complex data sets into actionable insights. Proficiency in data visualization tools (e.g., Power BI, Tableau) and statistical software (e.g., Python, R, SQL). Communication and stakeholder management skills. Strong analytical and statistical skills. Familiarity with HRIS systems and data governance principles. Knowledge of Saba, Workday, Oracle or equivalent HRIS technologies. You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Hybrid working is available for this role on an informal, non-contractual basis. Typically 3 days onsite per week.
Mar 20, 2026
Full time
AWE is currently recruiting for a People Analyst to assess and maintain the quality of HR data within our HRIS and support the business with people data requirements. Location: Located in Reading, with free onsite parking . Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Ready to play your part? At AWE, it's not just a job, it's far more than that. Our shared purpose is to help keep the nation safe. Could this role be the opportunity for you to play your part? As the People Analyst, you will leverage data to provide insights into workforce trends and organisational effectiveness through analysing, and interpreting people-related data to support strategic decision-making and improve business outcomes. As part of your role, you will be responsible for: Support identification of organisational health challenges, and develop solutions through modelling, scenario testing and benchmarking. Provide high-quality data analysis, reports, and insights to support functional and leadership decision-making. Support implementation and maintenance of an IT system that meets business needs and aligns with the Digital Roadmap. Uphold high standards in environment, safety, health, security, and quality, and contribute positively to the team. Who are we looking for? We are ideally seeking a highly inquisitive individual with previous experience analysing and reporting on data to deliver insights, using BI tools to spot trends and present findings visually. We do need you to have the following: A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Psychology, Business, Computer Science, Finance, Engineering, or Human Resources. Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Ability to translate complex data sets into actionable insights. Proficiency in data visualization tools (e.g., Power BI, Tableau) and statistical software (e.g., Python, R, SQL). Communication and stakeholder management skills. Strong analytical and statistical skills. Familiarity with HRIS systems and data governance principles. Knowledge of Saba, Workday, Oracle or equivalent HRIS technologies. You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'. Hybrid working is available for this role on an informal, non-contractual basis. Typically 3 days onsite per week.
Data & Statistical Modelling Engineer Oxfordshire £Competitive + Good Benefits Our client is a fast-growing, venture-backed advanced manufacturing company, redefining how high-performance metal components are designed and produced. By combining machine learning, physics-based modelling, and metal 3D printing, the team is pushing the boundaries of what engineered materials can achieve click apply for full job details
Mar 20, 2026
Full time
Data & Statistical Modelling Engineer Oxfordshire £Competitive + Good Benefits Our client is a fast-growing, venture-backed advanced manufacturing company, redefining how high-performance metal components are designed and produced. By combining machine learning, physics-based modelling, and metal 3D printing, the team is pushing the boundaries of what engineered materials can achieve click apply for full job details
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium-Sized Companies to Work For in 2025 - a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof of concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production grade environments. Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems. Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders. Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps. Skills Required Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. Data visualisation skills and experience communicating insights through analytical tools and dashboards. Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Mar 20, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium-Sized Companies to Work For in 2025 - a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof of concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production grade environments. Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems. Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders. Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps. Skills Required Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. Data visualisation skills and experience communicating insights through analytical tools and dashboards. Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Lead Marketing Analyst Location: Fully remote (UK-based) Salary: Up to £80k + 10% bonus About the Business A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around: Expanding and strengthening its core digital products. Enhancing customer experience to drive engagement and loyalty. Building stronger community connections and marketing reach. The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams. The Role This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space. You'll take full ownership of the marketing analytics function , line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You'll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level. What You'll Be Doing Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact. Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs). Improving campaign decision-making through attribution, incrementality, and media mix modelling. Partnering with Data Science to build predictive models (LTV, churn). Owning and refining marketing forecast models for budget and performance planning. Using statistical analysis to optimise testing methodologies and outcomes. Developing best practice, transparent reporting, and actionable insights. Managing stakeholders across the business to improve marketing decisions. Building strong cross-functional relationships to promote a data-driven culture. Working with Data Engineering to manage data requirements and ensure quality deliverables. Candidate Profile Background Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps. Must have a strong B2C focus . Experience Proven track record in marketing analytics. Comfortable leading and mentoring others. Strong stakeholder management and presentation skills. Line management experience (desirable but not essential). Technical Skills SQL (essential). Power BI / Looker. Data visualisation expertise (Snowflake desirable). Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous). Package & Benefits £80k base salary + 10% bonus. Private healthcare (including dental). 6% pension contribution. Life insurance + employee assistance programme. Enhanced family leave. 25 days holiday + bank holidays (buy/sell option). Flexible working hours. Interview Process 1st stage: Zoom interview with senior marketing leadership. 2nd stage: Take-home task + panel presentation. 3rd stage: Final interview with executive team.
Mar 19, 2026
Full time
Lead Marketing Analyst Location: Fully remote (UK-based) Salary: Up to £80k + 10% bonus About the Business A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around: Expanding and strengthening its core digital products. Enhancing customer experience to drive engagement and loyalty. Building stronger community connections and marketing reach. The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams. The Role This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space. You'll take full ownership of the marketing analytics function , line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You'll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level. What You'll Be Doing Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact. Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs). Improving campaign decision-making through attribution, incrementality, and media mix modelling. Partnering with Data Science to build predictive models (LTV, churn). Owning and refining marketing forecast models for budget and performance planning. Using statistical analysis to optimise testing methodologies and outcomes. Developing best practice, transparent reporting, and actionable insights. Managing stakeholders across the business to improve marketing decisions. Building strong cross-functional relationships to promote a data-driven culture. Working with Data Engineering to manage data requirements and ensure quality deliverables. Candidate Profile Background Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps. Must have a strong B2C focus . Experience Proven track record in marketing analytics. Comfortable leading and mentoring others. Strong stakeholder management and presentation skills. Line management experience (desirable but not essential). Technical Skills SQL (essential). Power BI / Looker. Data visualisation expertise (Snowflake desirable). Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous). Package & Benefits £80k base salary + 10% bonus. Private healthcare (including dental). 6% pension contribution. Life insurance + employee assistance programme. Enhanced family leave. 25 days holiday + bank holidays (buy/sell option). Flexible working hours. Interview Process 1st stage: Zoom interview with senior marketing leadership. 2nd stage: Take-home task + panel presentation. 3rd stage: Final interview with executive team.
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium-Sized Companies to Work For in 2025 - a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof of concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production grade environments. Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems. Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders. Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps. Skills Required Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. Data visualisation skills and experience communicating insights through analytical tools and dashboards. Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Mar 19, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium-Sized Companies to Work For in 2025 - a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof of concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production grade environments. Collaborate closely with data engineers, software engineers and platform teams to deploy solutions into operational systems. Develop dashboards, visualisations and analytical tools to communicate insights to technical and non-technical stakeholders. Provide technical leadership and contribute to AI/ML strategy, best practice and capability roadmaps. Skills Required Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data. Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands on experience with Natural Language Processing, graph analytics and advanced analytical methods. Experience using cloud analytics platforms, with strong AWS and native tooling expertise. Data visualisation skills and experience communicating insights through analytical tools and dashboards. Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Mar 17, 2026
Full time
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
A forward-thinking logistics company in the UK is building a Data Science Talent Pool to prepare for future opportunities. Candidates should have a strong foundation in statistical modelling, machine learning, and operational research. Ideal applicants can work with complex datasets and possess solid skills in Python and SQL. You'll contribute to designing optimisation models and forecasting demand as part of a vibrant and innovative team that values ownership and collaboration.
Mar 15, 2026
Full time
A forward-thinking logistics company in the UK is building a Data Science Talent Pool to prepare for future opportunities. Candidates should have a strong foundation in statistical modelling, machine learning, and operational research. Ideal applicants can work with complex datasets and possess solid skills in Python and SQL. You'll contribute to designing optimisation models and forecasting demand as part of a vibrant and innovative team that values ownership and collaboration.
A logistics company in Greater London invites talented individuals to join their Data Science Talent Pool. Ideal candidates should possess a strong foundation in data science, with expertise in statistical modelling, machine learning, and programming skills in Python or R. Responsibilities may include designing models for last-mile delivery and building tools that facilitate smarter business decisions. This is an opportunity to stay connected with an innovative team as positions open up.
Mar 15, 2026
Full time
A logistics company in Greater London invites talented individuals to join their Data Science Talent Pool. Ideal candidates should possess a strong foundation in data science, with expertise in statistical modelling, machine learning, and programming skills in Python or R. Responsibilities may include designing models for last-mile delivery and building tools that facilitate smarter business decisions. This is an opportunity to stay connected with an innovative team as positions open up.
Generative Biology Institute GBI is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Generative Biology Institute (GBI). This is your opportunity to be part of cutting edge research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. Applications to Research Groups Applications will be reviewed on a rolling basis by the specific research groups you select. On the application page, you will be asked to select up to three (3) research groups you wish to apply to. In your cover letter, please clearly identify the group(s) you are applying to and explain your fit, interest, and relevant experience for each one. Please note that applicants who select more than three groups, or who do not specify their groups of interest, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Postdoctoral Fellows Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Martin Spinck - The Spinck group explores biological evolution in artificial environments to uncover new to nature functions, focusing on evolvable self assembling biomaterials and their applications in sustainable chemistry and biotechnology. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Postdoctoral Researchers Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions. Prepare and publish high quality scientific papers, reports, presentations, and protocols. Present research at national and international conferences, seminars, and internal meetings. Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams. Build and maintain research infrastructure, laboratory capabilities, and cutting edge technologies. Mentor and support junior researchers, including PhD students and research assistants. Translate research findings into commercial or translational opportunities in alignment with EIT's mission. Identify and pursue opportunities for intellectual property generation and protection. Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential and Desirable Knowledge, Skills and Experience Completed a PhD within the last 4 years in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry). Track record of delivering ambitious research projects to a high standard. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve complex experimental problems. Experience publishing in high impact journals and presenting at international conferences. Excellent organisational skills with the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box . click apply for full job details
Mar 14, 2026
Full time
Generative Biology Institute GBI is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Generative Biology Institute (GBI). This is your opportunity to be part of cutting edge research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. Applications to Research Groups Applications will be reviewed on a rolling basis by the specific research groups you select. On the application page, you will be asked to select up to three (3) research groups you wish to apply to. In your cover letter, please clearly identify the group(s) you are applying to and explain your fit, interest, and relevant experience for each one. Please note that applicants who select more than three groups, or who do not specify their groups of interest, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Postdoctoral Fellows Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Martin Spinck - The Spinck group explores biological evolution in artificial environments to uncover new to nature functions, focusing on evolvable self assembling biomaterials and their applications in sustainable chemistry and biotechnology. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Postdoctoral Researchers Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions. Prepare and publish high quality scientific papers, reports, presentations, and protocols. Present research at national and international conferences, seminars, and internal meetings. Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams. Build and maintain research infrastructure, laboratory capabilities, and cutting edge technologies. Mentor and support junior researchers, including PhD students and research assistants. Translate research findings into commercial or translational opportunities in alignment with EIT's mission. Identify and pursue opportunities for intellectual property generation and protection. Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential and Desirable Knowledge, Skills and Experience Completed a PhD within the last 4 years in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry). Track record of delivering ambitious research projects to a high standard. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve complex experimental problems. Experience publishing in high impact journals and presenting at international conferences. Excellent organisational skills with the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box . click apply for full job details
British Antarctic Survey BAS 26/34 Contract type: FTA (36 months) Location: Cambridge Salary: D S2 Closing date: 23/03/2026 Interview date: 14th-15th April 2026 Background/Overview The British Antarctic Survey (BAS) is looking for an ice sheet modeller/emulation scientist to join our Ice Dynamics and Polar Ocean teams. This post is part of an ARIA-funded Forecasting Tipping Points programme, GIANT (Greenland Ice sheet to AtlaNtic Tipping points from ice loss). GIANT is a large international collaboration across 17 institutions that is dedicated to observing and modelling the melting and calving of glaciers in Greenland fjords. At BAS, you'll join an interdisciplinary team of oceanographers and glaciologists working closely together to improve our understanding of the evolving ice and ocean dynamics in Greenland and Antarctica. You'll help us to deliver exciting and impactful scientific research on one of the biggest questions facing society: how much and how fast will ice sheets melt, influencing North Atlantic climate and causing global sea-level rise? Purpose We are looking for a post-doctoral physical scientist in the field of ice sheet/glacier modelling to simulate Greenland glaciers and train emulators of the full glacier models. In particular, the Ice Modeller/Emulation Scientist will use the WAVI ice sheet model to examine the response of key Greenland glaciers to perturbations from melting and calving at the glacier face. They will then develop existing machine learning frameworks to train statistical emulators of the glacier models that can cheaply represent the full model results, enabling assessments of potential future tipping points. The postholder will collaborate with the wider team from the GIANT project, Greenland Ice sheet to AtlaNtic Tipping points from ice loss GIANT, who will provide observational data and fjord model results. The role is based within a collaborative grouping of ice and ocean scientists in the Polar Oceans and Ice Dynamics teams at BAS, which includes ice sheet and ocean modellers as well as observational and field scientists. Assessing the future contribution of the Greenland and Antarctic ice sheets to sea-level rise and North Atlantic climate is the core research goal of this grouping. We support the individual needs of our colleagues within a wider culture that is friendly, respectful, open and honest. We want the postholders to have freedom to pursue this science in the direction they think best, though we will of course offer full training in the technical aspects and modelling specifics and provide guidance on the research questions. There will also be plenty of scope to tailor the project to the candidate's interests, within the remit of the broader GIANT project. This post is advertised in parallel with the Ice-Ocean Modeller role. Applicants are encouraged to apply to both roles, which will be combined into a single interview. Please submit identical applications for each role you are interested in; we unfortunately cannot consider you for any roles to which you do not apply. Please ensure your cover letter and CV show how you meet the criteria below, and include a list of your publications. If this role appeals to you, we'd love to hear from you, whatever your background. Full training in all aspects of the modelling and emulation will be provided. The role is available immediately, but our top priority is to recruit the best candidate, and we would consider any start date. Informal enquiries about this post are very welcome and should be addressed to Rosie Williams (), Paul Holland () or Robert Arthern (). Duties Duties and responsibilities include: Set up Greenland glacier simulations using the WAVI ice sheet model and observational data from the GIANT project and elsewhere. Investigate the response of Greenland glaciers to changes triggered at the terminus. Create cheap statistical emulators of the glacier models. Collaborate with other GIANT scientists on the incorporation of the emulators into a prototype Early Warning System. Publish papers in the scientific literature and present at international scientific conferences. Skills, Qualifications and Experience Essential First degree in physical science/mathematics plus PhD or equivalent experience Experience in the use of numerical models (e.g. ice sheet or ocean models) or probabilistic machine learning methods, or equivalent related experience Experience with computer coding (e.g. Julia, Python, Fortran) Experience of Linux and PC based systems Track record of publication in high-quality journals and presentation at international conferences Proficient in written and spoken EnglishAble to set own priorities and manage time effectively Able to work effectively as part of a team Desirable Background in numerical modelling of ice sheet/glacier flow or processes relevant to ice dynamics Knowledge/experience of emulation techniques for physics-based models Knowledge of fluid dynamics or ice/ocean interactions The role holder will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during the course of employment.
Mar 13, 2026
Full time
British Antarctic Survey BAS 26/34 Contract type: FTA (36 months) Location: Cambridge Salary: D S2 Closing date: 23/03/2026 Interview date: 14th-15th April 2026 Background/Overview The British Antarctic Survey (BAS) is looking for an ice sheet modeller/emulation scientist to join our Ice Dynamics and Polar Ocean teams. This post is part of an ARIA-funded Forecasting Tipping Points programme, GIANT (Greenland Ice sheet to AtlaNtic Tipping points from ice loss). GIANT is a large international collaboration across 17 institutions that is dedicated to observing and modelling the melting and calving of glaciers in Greenland fjords. At BAS, you'll join an interdisciplinary team of oceanographers and glaciologists working closely together to improve our understanding of the evolving ice and ocean dynamics in Greenland and Antarctica. You'll help us to deliver exciting and impactful scientific research on one of the biggest questions facing society: how much and how fast will ice sheets melt, influencing North Atlantic climate and causing global sea-level rise? Purpose We are looking for a post-doctoral physical scientist in the field of ice sheet/glacier modelling to simulate Greenland glaciers and train emulators of the full glacier models. In particular, the Ice Modeller/Emulation Scientist will use the WAVI ice sheet model to examine the response of key Greenland glaciers to perturbations from melting and calving at the glacier face. They will then develop existing machine learning frameworks to train statistical emulators of the glacier models that can cheaply represent the full model results, enabling assessments of potential future tipping points. The postholder will collaborate with the wider team from the GIANT project, Greenland Ice sheet to AtlaNtic Tipping points from ice loss GIANT, who will provide observational data and fjord model results. The role is based within a collaborative grouping of ice and ocean scientists in the Polar Oceans and Ice Dynamics teams at BAS, which includes ice sheet and ocean modellers as well as observational and field scientists. Assessing the future contribution of the Greenland and Antarctic ice sheets to sea-level rise and North Atlantic climate is the core research goal of this grouping. We support the individual needs of our colleagues within a wider culture that is friendly, respectful, open and honest. We want the postholders to have freedom to pursue this science in the direction they think best, though we will of course offer full training in the technical aspects and modelling specifics and provide guidance on the research questions. There will also be plenty of scope to tailor the project to the candidate's interests, within the remit of the broader GIANT project. This post is advertised in parallel with the Ice-Ocean Modeller role. Applicants are encouraged to apply to both roles, which will be combined into a single interview. Please submit identical applications for each role you are interested in; we unfortunately cannot consider you for any roles to which you do not apply. Please ensure your cover letter and CV show how you meet the criteria below, and include a list of your publications. If this role appeals to you, we'd love to hear from you, whatever your background. Full training in all aspects of the modelling and emulation will be provided. The role is available immediately, but our top priority is to recruit the best candidate, and we would consider any start date. Informal enquiries about this post are very welcome and should be addressed to Rosie Williams (), Paul Holland () or Robert Arthern (). Duties Duties and responsibilities include: Set up Greenland glacier simulations using the WAVI ice sheet model and observational data from the GIANT project and elsewhere. Investigate the response of Greenland glaciers to changes triggered at the terminus. Create cheap statistical emulators of the glacier models. Collaborate with other GIANT scientists on the incorporation of the emulators into a prototype Early Warning System. Publish papers in the scientific literature and present at international scientific conferences. Skills, Qualifications and Experience Essential First degree in physical science/mathematics plus PhD or equivalent experience Experience in the use of numerical models (e.g. ice sheet or ocean models) or probabilistic machine learning methods, or equivalent related experience Experience with computer coding (e.g. Julia, Python, Fortran) Experience of Linux and PC based systems Track record of publication in high-quality journals and presentation at international conferences Proficient in written and spoken EnglishAble to set own priorities and manage time effectively Able to work effectively as part of a team Desirable Background in numerical modelling of ice sheet/glacier flow or processes relevant to ice dynamics Knowledge/experience of emulation techniques for physics-based models Knowledge of fluid dynamics or ice/ocean interactions The role holder will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during the course of employment.
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. A little more about your role Do you have a keen interest in environmental policy and an enthusiasm for developing solutions to complex and challenging problems? Are you looking for the ideal opportunity to take your career in environmental consultancy to the next level? If so, we are seeking a high calibre senior level economist to join our growing team at WSP in Brussels. The role is in WSP's Environmental Policy and Economics team, based in our Brussels office, and working globally in collaboration with colleagues across the UK, Europe and Canada. The team provides robust, impartial and influential advice on policy development and strategic response across the full policy lifecycle (policy development and assessment; implementation; review, evaluation and revision). WSP is the world's leading engineering company, specialising in infrastructure, transport, earth, environment, power, energy, property, buildings and advisory. This is an exceptional opportunity for the right candidate, opening your potential for career development, exposure to diverse projects as well as international travel in a friendly and supportive environment. YOUR TEAM WSP is at the forefront of providing policy and economic advisory services to the public and private sector across the EU and UK. WSP's Environmental Policy and Economics team is a market leader in providing policy, technical and economic advice on the development and implementation of environmental policy and business response to policy. We have an extensive track record across all major environmental fields including chemicals and water policy, industrial emissions, air quality, waste, circular economy, taxonomy, biodiversity, climate change mitigation and adaptation. Working with us will bring you into contact with policy makers at the highest level and your input will contribute to protecting and improving the environment for millions of people across multiple countries. Our reputation for robust and impartial analysis means our projects directly influence the development and improvement of environmental policies in the UK, EU and beyond, addressing some of the most challenging issues we face. Our work with the likes of national Governments, EU institutions and agencies, international bodies such as the United Nations and World Bank, alongside industry associations and major global companies stretches our positive influence around the world. WSP's Environmental Policy and Economics team is based across our offices in the UK (London, Reading, Bristol, Manchester and Edinburgh) and Belgium (Brussels). The team works alongside our broader global advisory services, bringing together a worldwide community of environmental specialists numbering more than people over more than 50 countries. Our Belgium-based team is looking to increase our presence in the heart of EU policy making. Located in the heart of Brussels, our multi disciplinary team will involve you in EU projects from day one whilst providing you with training, career development and personal support services that will assist you in becoming a recognised expert in your fields of interest. You will be joining the business at an extremely exciting time, with an expanding team, strong forward workload, and an ambitious strategy for growth. What we will be looking for you to demonstrate We are looking for candidates with a blend of technical, commercial and project management experience in the field of environmental economics. Relevant work experience may be within a consultancy, government, research agency/think tank, NGO or private sector / industry organisation or relevant placement. The role requires proven experience in economic theory and socio economic techniques to environmental and other policies at national and/or international level, including cost benefit and cost effectiveness analysis; ex post evaluation; impact assessment; valuation of human health and social and environmental effects of policies; and assessing economic competitiveness. A postgraduate qualification in environmental economics/economics is essential; an undergraduate degree in one of the following areas is desirable: environmental science; environmental management, technology, economics, engineering, policy; law. A focus on microeconomics and/or economics for public policy is an advantage. A demonstrable interest in developing a career in environmental policy (e.g. related to one or several of the thematic areas mentioned above), and knowledge of the policy landscape associated with those thematic policy areas. Demonstrable research skills and understanding of analytical techniques e.g. the collection, validation, analysis and synthesis of data, summarizing and critically evaluating literature, designing and conducting stakeholder consultations, dissemination of surveys, market analysis; socio economic analysis; regulatory impact assessment. Familiarity with national and international sources of government and business statistics would be desirable. Strong mathematical skills, covering quantitative analysis, data management, statistical modelling. Excellent written and verbal communication skills to present findings, policy recommendations, and project updates to clients, stakeholders, and the broader public; ability to write clear and concise reports in English, and for non technical audiences. Strong expertise in policy evaluation and impact assessment methodologies, using data driven approaches to inform decision making and policy recommendations. Experience of project management demonstrating the ability to effectively manage a portfolio of environmental policy projects, including ensuring deadlines are met and deliverables are of high quality; experience in budgeting, resource allocation, client and subcontractor management and project planning to achieve successful project outcomes. Demonstrable strategy and commercial experience, including proven track record in winning new environmental policy projects and contracts through successful proposal writing, as well as developing opportunities through new and existing client relationships and networks. Staff management and collaboration experience - demonstrating experience in communication and interpersonal skills to mentor and develop team members, fostering a cohesive and high performing team environment. Applications from those with European language skills are particularly welcome. WHAT YOU'LL LIKE ABOUT US: A working environment inspired by belonging, driven by inclusion. Our flexible working policy - We recognise the importance of work life balance and encourage you to find yours. WSP is about making the world around us a better place, including the environment, transport infrastructure, buildings and land use. Excellent career prospects. We're growing fast, and every day we strive to outdo ourselves. We are open to your ideas and want to try new things. We have a supportive environment that invests in your development and training. WSP is about embracing a culture of collaboration with colleagues who stand out for their skills. Come and discover our fantastic team! Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today
Mar 13, 2026
Full time
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. A little more about your role Do you have a keen interest in environmental policy and an enthusiasm for developing solutions to complex and challenging problems? Are you looking for the ideal opportunity to take your career in environmental consultancy to the next level? If so, we are seeking a high calibre senior level economist to join our growing team at WSP in Brussels. The role is in WSP's Environmental Policy and Economics team, based in our Brussels office, and working globally in collaboration with colleagues across the UK, Europe and Canada. The team provides robust, impartial and influential advice on policy development and strategic response across the full policy lifecycle (policy development and assessment; implementation; review, evaluation and revision). WSP is the world's leading engineering company, specialising in infrastructure, transport, earth, environment, power, energy, property, buildings and advisory. This is an exceptional opportunity for the right candidate, opening your potential for career development, exposure to diverse projects as well as international travel in a friendly and supportive environment. YOUR TEAM WSP is at the forefront of providing policy and economic advisory services to the public and private sector across the EU and UK. WSP's Environmental Policy and Economics team is a market leader in providing policy, technical and economic advice on the development and implementation of environmental policy and business response to policy. We have an extensive track record across all major environmental fields including chemicals and water policy, industrial emissions, air quality, waste, circular economy, taxonomy, biodiversity, climate change mitigation and adaptation. Working with us will bring you into contact with policy makers at the highest level and your input will contribute to protecting and improving the environment for millions of people across multiple countries. Our reputation for robust and impartial analysis means our projects directly influence the development and improvement of environmental policies in the UK, EU and beyond, addressing some of the most challenging issues we face. Our work with the likes of national Governments, EU institutions and agencies, international bodies such as the United Nations and World Bank, alongside industry associations and major global companies stretches our positive influence around the world. WSP's Environmental Policy and Economics team is based across our offices in the UK (London, Reading, Bristol, Manchester and Edinburgh) and Belgium (Brussels). The team works alongside our broader global advisory services, bringing together a worldwide community of environmental specialists numbering more than people over more than 50 countries. Our Belgium-based team is looking to increase our presence in the heart of EU policy making. Located in the heart of Brussels, our multi disciplinary team will involve you in EU projects from day one whilst providing you with training, career development and personal support services that will assist you in becoming a recognised expert in your fields of interest. You will be joining the business at an extremely exciting time, with an expanding team, strong forward workload, and an ambitious strategy for growth. What we will be looking for you to demonstrate We are looking for candidates with a blend of technical, commercial and project management experience in the field of environmental economics. Relevant work experience may be within a consultancy, government, research agency/think tank, NGO or private sector / industry organisation or relevant placement. The role requires proven experience in economic theory and socio economic techniques to environmental and other policies at national and/or international level, including cost benefit and cost effectiveness analysis; ex post evaluation; impact assessment; valuation of human health and social and environmental effects of policies; and assessing economic competitiveness. A postgraduate qualification in environmental economics/economics is essential; an undergraduate degree in one of the following areas is desirable: environmental science; environmental management, technology, economics, engineering, policy; law. A focus on microeconomics and/or economics for public policy is an advantage. A demonstrable interest in developing a career in environmental policy (e.g. related to one or several of the thematic areas mentioned above), and knowledge of the policy landscape associated with those thematic policy areas. Demonstrable research skills and understanding of analytical techniques e.g. the collection, validation, analysis and synthesis of data, summarizing and critically evaluating literature, designing and conducting stakeholder consultations, dissemination of surveys, market analysis; socio economic analysis; regulatory impact assessment. Familiarity with national and international sources of government and business statistics would be desirable. Strong mathematical skills, covering quantitative analysis, data management, statistical modelling. Excellent written and verbal communication skills to present findings, policy recommendations, and project updates to clients, stakeholders, and the broader public; ability to write clear and concise reports in English, and for non technical audiences. Strong expertise in policy evaluation and impact assessment methodologies, using data driven approaches to inform decision making and policy recommendations. Experience of project management demonstrating the ability to effectively manage a portfolio of environmental policy projects, including ensuring deadlines are met and deliverables are of high quality; experience in budgeting, resource allocation, client and subcontractor management and project planning to achieve successful project outcomes. Demonstrable strategy and commercial experience, including proven track record in winning new environmental policy projects and contracts through successful proposal writing, as well as developing opportunities through new and existing client relationships and networks. Staff management and collaboration experience - demonstrating experience in communication and interpersonal skills to mentor and develop team members, fostering a cohesive and high performing team environment. Applications from those with European language skills are particularly welcome. WHAT YOU'LL LIKE ABOUT US: A working environment inspired by belonging, driven by inclusion. Our flexible working policy - We recognise the importance of work life balance and encourage you to find yours. WSP is about making the world around us a better place, including the environment, transport infrastructure, buildings and land use. Excellent career prospects. We're growing fast, and every day we strive to outdo ourselves. We are open to your ideas and want to try new things. We have a supportive environment that invests in your development and training. WSP is about embracing a culture of collaboration with colleagues who stand out for their skills. Come and discover our fantastic team! Imagine a better future for you and a better future for us all. Work on landmark projects around the world and embrace opportunities to make an even bigger impact in the communities you care about. What if you could do the best work of your life and create a legacy for yourself? With us, you can. Apply today
Applied Scientist, AGI Vertical Services Long-form Experience (LFX) team Job ID: Audible Limited (UK) - B14 Come join us! LFX team sits at the boundary of state-of-the art speech models and a maturing AI first product for an industry leader. We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us. If you're looking for novel and unique challenges, this position is for you. If you want to create a whole new customer experience with your research expertise, this position is for you. If you enjoy a collaborative and multicultural environment, this position is for you. As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the state of the art in spoken word technology. Your work will directly impact our customers and change the landscape of voice technologies. You will be able to leverage our unique data sources and uniquely cross functional team structure to experiment and iterate fast. Responsibilities Engage in state of the art and innovative research in areas such as Speech Generation, Gen AI, model compression, and knowledge distillation Train custom Speech Generation and Gen AI models that beat the state of the art and pave the path for developing production models Collaborate with engineers to design and implement solutions for science problems Contribute to the Amazon and broader research communities by producing publications Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top tier peer reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Knowledge of standard speech and machine learning techniques Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) Preferred Qualifications Experience in professional software development Experience in designing experiments and statistical analysis of results Equal Opportunity and Accessibility Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: November 14, 2025 (Updated 4 months ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Mar 12, 2026
Full time
Applied Scientist, AGI Vertical Services Long-form Experience (LFX) team Job ID: Audible Limited (UK) - B14 Come join us! LFX team sits at the boundary of state-of-the art speech models and a maturing AI first product for an industry leader. We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us. If you're looking for novel and unique challenges, this position is for you. If you want to create a whole new customer experience with your research expertise, this position is for you. If you enjoy a collaborative and multicultural environment, this position is for you. As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the state of the art in spoken word technology. Your work will directly impact our customers and change the landscape of voice technologies. You will be able to leverage our unique data sources and uniquely cross functional team structure to experiment and iterate fast. Responsibilities Engage in state of the art and innovative research in areas such as Speech Generation, Gen AI, model compression, and knowledge distillation Train custom Speech Generation and Gen AI models that beat the state of the art and pave the path for developing production models Collaborate with engineers to design and implement solutions for science problems Contribute to the Amazon and broader research communities by producing publications Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top tier peer reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in building machine learning models for business application Knowledge of standard speech and machine learning techniques Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) Preferred Qualifications Experience in professional software development Experience in designing experiments and statistical analysis of results Equal Opportunity and Accessibility Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: November 14, 2025 (Updated 4 months ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Introduction to role AstraZeneca is a global science led patient focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. We're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we are pioneering new frontiers by identifying and treating patients earlier, working towards the aim of eliminating cancer as a cause of death. Our Macclesfield Campus is a vibrant hub of development and manufacturing excellence where your work will directly impact patients worldwide. Come and join our AZ team where you will play a pivotal role in this exciting period of development! Global Product Development (GPD) is the bridge that turns brilliant science into real medicines, designing, developing and industrialising formulations and processes that enable robust commercial manufacture. We build the formulation, manufacturing process and product understanding needed to develop, scale, launch, and sustain new medicines. You will collaborate in highly multidisciplinary teams spanning analytical science, material science, engineering, biopharmaceutics, microbiology, devices/packaging, clinical and supply chain. We are seeking a Senior Formulation Scientist specialising in parenteral dosage forms to advance late stage projects through to commercialisation In this role, you will lead the rational design of robust, patient centric formulations for synthetic small molecules and new modalities, including oligonucleotides and peptides. You will collaborate closely with process engineering and manufacturing teams on control strategies and contribute to regulatory submissions and technology transfer. This role suits a scientist who is curious, data driven, and collaborative, with a passion for transforming science into manufacturable sterile products that meet patient and commercial needs. Accountabilities Lead the design, development and optimisation of high quality sterile parenteral formulations (e.g., solution, suspension, lyophilise) from Target Product Profile and patient needs through to commercial readiness. Collaborate with process engineers on aseptic processing, sterile filtration, terminal sterilisation, and lyophilisation cycle development to ensure manufacturability and scalability across clinical to commercial phases. Author, review and integrate high quality CMC documentation for clinical and marketing applications, including responses to questions and regulatory interactions. Apply risk management tools to help identify risks and to prioritise relevant development studies. Align formulation development with device and container closure strategy, packaging, analytics, microbiology/sterility assurance, biopharmaceutics, clinical and supply chain requirements. Champion innovation, continuous improvement and knowledge sharing; contribute to publications, securing intellectual property and external collaborations where appropriate. Maintain high standards of data integrity, GMP awareness and laboratory safety; ensure documentation meets internal standards and external expectations. Essential Skills / Experience PhD in pharmaceutics, drug delivery, chemical/biochemical engineering or related discipline, or significant relevant industrial experience in drug product development. Strong grasp of how API physicochemical properties and excipient functionality influence solubility, stability, aggregation/particulates, tonicity, osmolality, and overall product performance. Proven experience in designing sterile parenteral formulations from development through to commercialisation. Practical understanding of aseptic processing principles, filtration compatibility, extractables/leachables, container closure integrity, and lyophilisation fundamentals. Experience with peptides, oligonucleotides, or other new modalities. Experience in authoring regulatory CMC sections and articulating product and process control strategies; familiarity with post approval change management is a plus. Proficiency with DoE, statistical analysis, modelling and predictive tools to accelerate decision making and de risk development. Strong cross functional partnering and clear written/oral communication for technical and non technical audiences. Track record of delivering to time, quality and compliance in a dynamic portfolio environment. Desirable Skills / Experience Exposure to sterile filtration sizing, integrity testing strategies, terminal sterilisation by heat or radiation where relevant, and aseptic risk assessment. Understanding of methods supporting formulation and device/primary container compatibility (e.g., sub visible particles, aggregation, container closure integrity, extractables/leachables). Exposure to digital ways of working, automated workflows, or use of AI driven insights to support robust formulation and process understanding. Experience working with CMOs/CROs and managing productive technical relationships. Experience of oral solid dosage forms development and manufacturing processes (e.g., continuous direct compression). In Office Requirement When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life changing medicines. In person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that does not mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Competitive salary and benefits package on offer! The successful candidate will have access to a flexible employee benefits fund, including holiday purchase and flexible time off, pension contributions, Share Save Plans, a performance recognition scheme and a competitive, generous remuneration package. Legal & EEO statement Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. Where can I find out more? Our Social Media Follow AstraZeneca on Linkedin Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram Date Posted 26 fev 2026 Closing Date 19 mar 2026
Mar 12, 2026
Full time
Introduction to role AstraZeneca is a global science led patient focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. We're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we are pioneering new frontiers by identifying and treating patients earlier, working towards the aim of eliminating cancer as a cause of death. Our Macclesfield Campus is a vibrant hub of development and manufacturing excellence where your work will directly impact patients worldwide. Come and join our AZ team where you will play a pivotal role in this exciting period of development! Global Product Development (GPD) is the bridge that turns brilliant science into real medicines, designing, developing and industrialising formulations and processes that enable robust commercial manufacture. We build the formulation, manufacturing process and product understanding needed to develop, scale, launch, and sustain new medicines. You will collaborate in highly multidisciplinary teams spanning analytical science, material science, engineering, biopharmaceutics, microbiology, devices/packaging, clinical and supply chain. We are seeking a Senior Formulation Scientist specialising in parenteral dosage forms to advance late stage projects through to commercialisation In this role, you will lead the rational design of robust, patient centric formulations for synthetic small molecules and new modalities, including oligonucleotides and peptides. You will collaborate closely with process engineering and manufacturing teams on control strategies and contribute to regulatory submissions and technology transfer. This role suits a scientist who is curious, data driven, and collaborative, with a passion for transforming science into manufacturable sterile products that meet patient and commercial needs. Accountabilities Lead the design, development and optimisation of high quality sterile parenteral formulations (e.g., solution, suspension, lyophilise) from Target Product Profile and patient needs through to commercial readiness. Collaborate with process engineers on aseptic processing, sterile filtration, terminal sterilisation, and lyophilisation cycle development to ensure manufacturability and scalability across clinical to commercial phases. Author, review and integrate high quality CMC documentation for clinical and marketing applications, including responses to questions and regulatory interactions. Apply risk management tools to help identify risks and to prioritise relevant development studies. Align formulation development with device and container closure strategy, packaging, analytics, microbiology/sterility assurance, biopharmaceutics, clinical and supply chain requirements. Champion innovation, continuous improvement and knowledge sharing; contribute to publications, securing intellectual property and external collaborations where appropriate. Maintain high standards of data integrity, GMP awareness and laboratory safety; ensure documentation meets internal standards and external expectations. Essential Skills / Experience PhD in pharmaceutics, drug delivery, chemical/biochemical engineering or related discipline, or significant relevant industrial experience in drug product development. Strong grasp of how API physicochemical properties and excipient functionality influence solubility, stability, aggregation/particulates, tonicity, osmolality, and overall product performance. Proven experience in designing sterile parenteral formulations from development through to commercialisation. Practical understanding of aseptic processing principles, filtration compatibility, extractables/leachables, container closure integrity, and lyophilisation fundamentals. Experience with peptides, oligonucleotides, or other new modalities. Experience in authoring regulatory CMC sections and articulating product and process control strategies; familiarity with post approval change management is a plus. Proficiency with DoE, statistical analysis, modelling and predictive tools to accelerate decision making and de risk development. Strong cross functional partnering and clear written/oral communication for technical and non technical audiences. Track record of delivering to time, quality and compliance in a dynamic portfolio environment. Desirable Skills / Experience Exposure to sterile filtration sizing, integrity testing strategies, terminal sterilisation by heat or radiation where relevant, and aseptic risk assessment. Understanding of methods supporting formulation and device/primary container compatibility (e.g., sub visible particles, aggregation, container closure integrity, extractables/leachables). Exposure to digital ways of working, automated workflows, or use of AI driven insights to support robust formulation and process understanding. Experience working with CMOs/CROs and managing productive technical relationships. Experience of oral solid dosage forms development and manufacturing processes (e.g., continuous direct compression). In Office Requirement When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life changing medicines. In person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that does not mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Competitive salary and benefits package on offer! The successful candidate will have access to a flexible employee benefits fund, including holiday purchase and flexible time off, pension contributions, Share Save Plans, a performance recognition scheme and a competitive, generous remuneration package. Legal & EEO statement Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. Where can I find out more? Our Social Media Follow AstraZeneca on Linkedin Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram Date Posted 26 fev 2026 Closing Date 19 mar 2026
Introduction Echo Labs is building the scientific, and technical foundation for ecological intelligence: a multimodal system to measure, model, and forecast Ecosystem Condition as a dynamic property. We are a collaborative and interdisciplinary team of scientists and engineers engaged in a planetary moonshot - with a public good mission, operating like a start up. We are a new Focused Research Organization (FRO) supported by Convergent Research and funded by the Advanced Research and Invention Agency to pursue high-risk, high-reward science in the public interest. About this role The Chief Science Officer (CSO) anchors this effort in scientific rigour, ecological credibility, and long-term legitimacy and plays a decisive role in ensuring that this infrastructure is scientifically sound and transformative. The CSO is responsible for ensuring that Echo's data, models, and interpretations faithfully reflect state-of-the-art ecological science while enabling bold, operational innovation. This role bridges fundamental ecology, field methods, and applied modelling, translating ecological theory into scalable, decision-grade infrastructure. This is a high-leverage role: you'll lead Echo's ecology vertical and relationship with the ecology community. The CSO reports to the CEO and works in close partnership with the Chief Technology Officer and Director of Product & Partnerships as a core member of Echo's executive leadership team. Core Responsibilities Conceptual Framework: Own and continuously refine Echo's scientific framing of Ecosystem Condition, grounded in ECT+/SEEA typologies and current ecological theory. Ensure scientific defensibility, interpretability, and transparency of Echo's outputs for the academic community, policymakers, and external partners. Set standards for scientific validation, benchmarking, and uncertainty characterisation across the programme. Data Strategy and Analytical Direction: Lead the identification, evaluation, and strategic use of existing ecological and Earth-observation datasets, determining when external data can accelerate progress versus when new data generation is essential. Set the analytical direction for how existing datasets are integrated, stress-tested, or rejected, including defining appropriate benchmarks, comparators, and limitations. Guide early in-silico analyses to inform sampling design, modelling priorities, and go/no-go decisions, ensuring resources are focused on data and approaches with the highest scientific leverage. Establish criteria for reuse, interoperability, and alignment of legacy datasets with Echo's Ecosystem Condition framework, avoiding dependence on datasets that are ecologically misaligned or methodologically brittle. Ecological Data Generation: Lead scientific oversight of Echo's sampling architecture, ensuring ecological sensitivity and robustness. Guide methodological choices across in-situ data streams (eDNA, acoustics, vegetation structure, soil health, hydrology, etc.). Oversee ecological QA/QC, signal separability testing, and temporal sensitivity to disturbance and recovery. Modelling Integration and Ecological Interpretability: Work hand-in-hand with the CTO and ML leads to ensure ecological meaning is preserved in latent representations ("ecosystem fingerprints") and predictive models. Validate that modelling choices align with ecological processes, scales, and constraints rather than spurious correlations. Champion explainability and ecological interpretability of model outputs. Scientific Leadership, Governance and External Engagement: Act as Echo's senior scientific representative to the ecological research community. Build trust and adoption through workshops, advisory engagement, and transparent publication of methods, data, and results. Shape Echo's contribution to emerging standards in ecological monitoring, modelling, and data governance. Interface with the Science Advisory Board, translating feedback into operational scientific decisions. Progression. In six months you will have Established an internal scientific definition of Ecosystem Condition, aligned with ECT+/SEEA and explicitly scoped to what Echo will and will not measure. Audited existing ecological data to identify usable signals, inferable dynamics, and critical gaps, guiding early go/no-go decisions on new data collection. Set clear priorities for early models and metrics, focusing on a small number of high-leverage downstream tasks rather than solving everything at once. Designed an initial metric and model architecture, including decisions on single vs. multi-layer representations and a strategy for ecological interpretability. Led internal and external scientific workshops to align sampling, modelling, and core scientific questions, resulting in shared buy-in and a v1 sampling design. Produced foundational scientific artifacts, including a v1 Ecosystem Condition framework, data-to-signal mapping, interpretability plan, and a scientific risk register. We Offer (Amazing Benefits) A rare chance to build institutional architecture for frontier science and work with some of the smartest and most talented experts from different fields. Up to a 6% employer pension contribution, with optional additional salary sacrifice, because future-you deserves comfort. Top-tier private medical and dental insurance-are fully covered for you and your dependents. Stay healthy, my friend. Generous parental leave-20 weeks make-whole-pay for both parents. 25 days of holiday allowance. Wellness allowance for fitness and wellness activities. Profile (You Are) PhD (or equivalent) in ecology, ecosystem science, environmental science, or a closely related field. Deep understanding of ecosystem functioning, resilience, or biodiversity dynamics, ideally across multiple spatial scales. Familiarity with ecological modelling, including interaction with machine learning. Strong basis in advanced statistical methods. Proven background in rigorous experimental design. Demonstrated experience designing, interpreting, or overseeing field-based ecological data collection. Track record of interdisciplinary collaboration across ecology, data science, and engineering. Exceptional scientific judgement and communication skills, with the ability to translate complexity into clarity. Highly organised and outcome-focused, with experience structuring workplans, prioritising trade-offs, and driving progress across interdisciplinary teams under time and resource constraints. Highly Valued Experience Experience working with multimodal ecological datasets (e.g. combining field data with Earth observation). Prior involvement in large-scale or national ecological monitoring programmes. Experience engaging with policy, regulatory, or applied decision-making contexts. Familiarity with FAIR + CARE data principles or ecological data governance. Leadership roles in collaborative or mission-driven research initiatives. Demonstrated ability to translate scientific vision into delivered products or platforms, with experience taking complex research programmes from concept through execution against clear timelines and milestones. Track record of operating in delivery-oriented environments (e.g. research infrastructure builds, applied science programmes, or mission-driven organisations) where scientific ambition is matched with disciplined execution. Outro We're bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. We are committed to creating an inclusive and diverse workplace where everyone has the opportunity to thrive. We believe in hiring individuals based on their unique talents-not on race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law or our company policies. We are more than a proud Equal Employment Opportunity employer. Our goal is to foster a healthy, safe, and respectful environment where all employees are valued and treated with dignity. 100000 - 130000 GBP a year Title commensurate with experience: CSO / Director of Ecological research Bonus: Performance-based
Mar 10, 2026
Full time
Introduction Echo Labs is building the scientific, and technical foundation for ecological intelligence: a multimodal system to measure, model, and forecast Ecosystem Condition as a dynamic property. We are a collaborative and interdisciplinary team of scientists and engineers engaged in a planetary moonshot - with a public good mission, operating like a start up. We are a new Focused Research Organization (FRO) supported by Convergent Research and funded by the Advanced Research and Invention Agency to pursue high-risk, high-reward science in the public interest. About this role The Chief Science Officer (CSO) anchors this effort in scientific rigour, ecological credibility, and long-term legitimacy and plays a decisive role in ensuring that this infrastructure is scientifically sound and transformative. The CSO is responsible for ensuring that Echo's data, models, and interpretations faithfully reflect state-of-the-art ecological science while enabling bold, operational innovation. This role bridges fundamental ecology, field methods, and applied modelling, translating ecological theory into scalable, decision-grade infrastructure. This is a high-leverage role: you'll lead Echo's ecology vertical and relationship with the ecology community. The CSO reports to the CEO and works in close partnership with the Chief Technology Officer and Director of Product & Partnerships as a core member of Echo's executive leadership team. Core Responsibilities Conceptual Framework: Own and continuously refine Echo's scientific framing of Ecosystem Condition, grounded in ECT+/SEEA typologies and current ecological theory. Ensure scientific defensibility, interpretability, and transparency of Echo's outputs for the academic community, policymakers, and external partners. Set standards for scientific validation, benchmarking, and uncertainty characterisation across the programme. Data Strategy and Analytical Direction: Lead the identification, evaluation, and strategic use of existing ecological and Earth-observation datasets, determining when external data can accelerate progress versus when new data generation is essential. Set the analytical direction for how existing datasets are integrated, stress-tested, or rejected, including defining appropriate benchmarks, comparators, and limitations. Guide early in-silico analyses to inform sampling design, modelling priorities, and go/no-go decisions, ensuring resources are focused on data and approaches with the highest scientific leverage. Establish criteria for reuse, interoperability, and alignment of legacy datasets with Echo's Ecosystem Condition framework, avoiding dependence on datasets that are ecologically misaligned or methodologically brittle. Ecological Data Generation: Lead scientific oversight of Echo's sampling architecture, ensuring ecological sensitivity and robustness. Guide methodological choices across in-situ data streams (eDNA, acoustics, vegetation structure, soil health, hydrology, etc.). Oversee ecological QA/QC, signal separability testing, and temporal sensitivity to disturbance and recovery. Modelling Integration and Ecological Interpretability: Work hand-in-hand with the CTO and ML leads to ensure ecological meaning is preserved in latent representations ("ecosystem fingerprints") and predictive models. Validate that modelling choices align with ecological processes, scales, and constraints rather than spurious correlations. Champion explainability and ecological interpretability of model outputs. Scientific Leadership, Governance and External Engagement: Act as Echo's senior scientific representative to the ecological research community. Build trust and adoption through workshops, advisory engagement, and transparent publication of methods, data, and results. Shape Echo's contribution to emerging standards in ecological monitoring, modelling, and data governance. Interface with the Science Advisory Board, translating feedback into operational scientific decisions. Progression. In six months you will have Established an internal scientific definition of Ecosystem Condition, aligned with ECT+/SEEA and explicitly scoped to what Echo will and will not measure. Audited existing ecological data to identify usable signals, inferable dynamics, and critical gaps, guiding early go/no-go decisions on new data collection. Set clear priorities for early models and metrics, focusing on a small number of high-leverage downstream tasks rather than solving everything at once. Designed an initial metric and model architecture, including decisions on single vs. multi-layer representations and a strategy for ecological interpretability. Led internal and external scientific workshops to align sampling, modelling, and core scientific questions, resulting in shared buy-in and a v1 sampling design. Produced foundational scientific artifacts, including a v1 Ecosystem Condition framework, data-to-signal mapping, interpretability plan, and a scientific risk register. We Offer (Amazing Benefits) A rare chance to build institutional architecture for frontier science and work with some of the smartest and most talented experts from different fields. Up to a 6% employer pension contribution, with optional additional salary sacrifice, because future-you deserves comfort. Top-tier private medical and dental insurance-are fully covered for you and your dependents. Stay healthy, my friend. Generous parental leave-20 weeks make-whole-pay for both parents. 25 days of holiday allowance. Wellness allowance for fitness and wellness activities. Profile (You Are) PhD (or equivalent) in ecology, ecosystem science, environmental science, or a closely related field. Deep understanding of ecosystem functioning, resilience, or biodiversity dynamics, ideally across multiple spatial scales. Familiarity with ecological modelling, including interaction with machine learning. Strong basis in advanced statistical methods. Proven background in rigorous experimental design. Demonstrated experience designing, interpreting, or overseeing field-based ecological data collection. Track record of interdisciplinary collaboration across ecology, data science, and engineering. Exceptional scientific judgement and communication skills, with the ability to translate complexity into clarity. Highly organised and outcome-focused, with experience structuring workplans, prioritising trade-offs, and driving progress across interdisciplinary teams under time and resource constraints. Highly Valued Experience Experience working with multimodal ecological datasets (e.g. combining field data with Earth observation). Prior involvement in large-scale or national ecological monitoring programmes. Experience engaging with policy, regulatory, or applied decision-making contexts. Familiarity with FAIR + CARE data principles or ecological data governance. Leadership roles in collaborative or mission-driven research initiatives. Demonstrated ability to translate scientific vision into delivered products or platforms, with experience taking complex research programmes from concept through execution against clear timelines and milestones. Track record of operating in delivery-oriented environments (e.g. research infrastructure builds, applied science programmes, or mission-driven organisations) where scientific ambition is matched with disciplined execution. Outro We're bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. We are committed to creating an inclusive and diverse workplace where everyone has the opportunity to thrive. We believe in hiring individuals based on their unique talents-not on race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law or our company policies. We are more than a proud Equal Employment Opportunity employer. Our goal is to foster a healthy, safe, and respectful environment where all employees are valued and treated with dignity. 100000 - 130000 GBP a year Title commensurate with experience: CSO / Director of Ecological research Bonus: Performance-based
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
Mar 08, 2026
Full time
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
Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.
Mar 03, 2026
Full time
Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.
What you will do Continue to build and lead a high-performing Marketing Science team that excels in predictive modelling, econometrics, and analytics innovation Re define the roadmap for how the agency uses forecasting, scenario simulation, and machine learning models to shape client strategy Own the development and deployment of predictive models that forecast revenue, demand, media impact, and customer behaviour Introduce advanced forecasting techniques (e.g., machine learning time series models, Bayesian forecasting, and ensemble approaches) to elevate how clients plan their budgets Build simulation engines Lead the creation of forward looking dashboards that surface risks and opportunities before they show up in performance reports Ensure MMM and MTA outputs feed directly into predictive models, creating a single, unified view that connects past performance with future outcomes Guide C suite leaders using predictive insights that translate into bold, confident decisions Move the team beyond static models into dynamic systems Champion test and learn programmes that validate predictive outputs in the real world Lead the evolution of proprietary forecasting and optimisation tools, integrating econometrics with machine learning for faster, sharper predictions Partner with Data Engineering to strengthen data pipelines for real time or near real time forecasting Standardise modelling frameworks so predictive intelligence is consistent, scalable, and reliable across all clients Requirements Deep experience building predictive models using advanced statistical and machine learning methods Proven ability to translate predictive outputs into commercial strategy - e.g., budget reallocation, channel investment, pricing, demand planning Strong forecasting experience using R, Python, or similar Demonstrated leadership of modelling teams and complex analytics programmes Expert level MMM and strong MTA understanding Exceptional communication skills - able to break down predictive logic into simple, sharp direction for non technical senior stakeholders Experience building optimisation engines (e.g., budget optimisers that allocate spend across channels based on predicted ROI) Familiarity with reinforcement learning, causal ML, or agent based modelling Diversity & Inclusion Journey Further takes pride in creating an environment where everyone can be themselves. This starts with recruitment. We pledge to make our roles as open as possible and to provide equal opportunities to everyone that is kind enough to give us their time. All recruitment decisions we take will be based solely on the positive skills and behaviours that applicants display and absolutely nothing else. We do not discriminate based on any personal characteristic, we are a people first agency and we care about and celebrate individuals. If something is important to you, it's important to us. If you have a particular need during the application process or during your time at Journey Further, please let us know.
Mar 02, 2026
Full time
What you will do Continue to build and lead a high-performing Marketing Science team that excels in predictive modelling, econometrics, and analytics innovation Re define the roadmap for how the agency uses forecasting, scenario simulation, and machine learning models to shape client strategy Own the development and deployment of predictive models that forecast revenue, demand, media impact, and customer behaviour Introduce advanced forecasting techniques (e.g., machine learning time series models, Bayesian forecasting, and ensemble approaches) to elevate how clients plan their budgets Build simulation engines Lead the creation of forward looking dashboards that surface risks and opportunities before they show up in performance reports Ensure MMM and MTA outputs feed directly into predictive models, creating a single, unified view that connects past performance with future outcomes Guide C suite leaders using predictive insights that translate into bold, confident decisions Move the team beyond static models into dynamic systems Champion test and learn programmes that validate predictive outputs in the real world Lead the evolution of proprietary forecasting and optimisation tools, integrating econometrics with machine learning for faster, sharper predictions Partner with Data Engineering to strengthen data pipelines for real time or near real time forecasting Standardise modelling frameworks so predictive intelligence is consistent, scalable, and reliable across all clients Requirements Deep experience building predictive models using advanced statistical and machine learning methods Proven ability to translate predictive outputs into commercial strategy - e.g., budget reallocation, channel investment, pricing, demand planning Strong forecasting experience using R, Python, or similar Demonstrated leadership of modelling teams and complex analytics programmes Expert level MMM and strong MTA understanding Exceptional communication skills - able to break down predictive logic into simple, sharp direction for non technical senior stakeholders Experience building optimisation engines (e.g., budget optimisers that allocate spend across channels based on predicted ROI) Familiarity with reinforcement learning, causal ML, or agent based modelling Diversity & Inclusion Journey Further takes pride in creating an environment where everyone can be themselves. This starts with recruitment. We pledge to make our roles as open as possible and to provide equal opportunities to everyone that is kind enough to give us their time. All recruitment decisions we take will be based solely on the positive skills and behaviours that applicants display and absolutely nothing else. We do not discriminate based on any personal characteristic, we are a people first agency and we care about and celebrate individuals. If something is important to you, it's important to us. If you have a particular need during the application process or during your time at Journey Further, please let us know.
Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.
Mar 02, 2026
Full time
Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.
Your Team Responsibilities The MSCI Index R&D team is a global client-centric research group that has full research ownership of all MSCI equity indexes and related frameworks in production throughout their lifecycle, whether flagship MSCI index products or client customized index solutions. This responsibility spans all factor, thematic, cap-weighted and sustainability & climate Indexes. The group performs index policy research, index methodology consultations as well as market research in the context of MSCI's market classification and accessibility reviews. Visible thought leadership and a strategic focus on ensuring all index methodologies remain relevant to investors globally is a key objective of the team. This work spans indexes for benchmark use or as the basis traded products and across all client segments. Foundational indexes based on the ever-expanding MSCI equity security universe, like the MSCI ACWI IMI, are a core responsibility in terms of their strategic design and rebalancing oversight. The group also works collaboratively with clients to help them meet their investment goals by enhancing their customized index solutions. This R&D effort requires innovation at scale to support proactively the building of capabilities in modelling, calculation, security coverage and data to meet client needs. The team is present in multiple locations across key regions. The group works closely with other groups within R&D as well as across the firm (product, client coverage, data, technology) to implement the research and product development agenda and to benefit from the substantial resources and expertise of the global MSCI organization. Your Key Responsibilities The Executive Director will be based in London, reporting to the Global Head of Index R&D, and lead index research initiatives supporting MSCI engagement with active ETF providers. They will serve as a strategic partner in ensuring operational excellence in related active indexation oversight and rebalancing processes, guiding any custom indexation needed as part of the client solution, and delivering analytical insights whether via tools, data services or content. You will be expected to: Partner with coverage and product teams to identify and develop opportunities with active ETF providers Deliver analytics, presentations and thought leadership content demonstrating MSCI index research capabilities in this fast-growing market segment Build trusted relationships with portfolio managers and product teams at client firms Map complex client investment strategies and needs onto MSCI index-based solutions Design and support hybrid active indexation methodologies that blend client and MSCI index inputs Conduct custom analytical work including portfolio diagnostics, factor exposures, and performance attribution Provide research-backed insights on index construction and optimization Stay current on active ETF industry trends and competitive landscape Oversee the operational execution of index rebalances for active ETF clients Ensure adherence to index methodologies and regulatory requirements Manage exception handling and help support communicating changes to stakeholders Your skills and experience that will help you excel 10 -15 years' experience in a quantitative or analytical role, preferably in portfolio management, index research, ETF product strategy, ETF product management, or in an investment decision tools company Strong understanding of equity markets, portfolio and index construction, and the investment decision-making processes for different investor types, investment styles and in different asset classes, Experience of writing compelling product and research content aligned with needs of different investor audiences. Advanced degree in finance, science, engineering or another highly analytical field. Good practical programming skills in Python and hands-on familiarity with statistical and database packages and SQL. Experience with AI coding assistant and tools High attention to detail, intellectual curiosity, and motivation. Strong interpersonal and verbal communication skills, with the ability to explain complex concepts to diverse client audiences About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on
Mar 01, 2026
Full time
Your Team Responsibilities The MSCI Index R&D team is a global client-centric research group that has full research ownership of all MSCI equity indexes and related frameworks in production throughout their lifecycle, whether flagship MSCI index products or client customized index solutions. This responsibility spans all factor, thematic, cap-weighted and sustainability & climate Indexes. The group performs index policy research, index methodology consultations as well as market research in the context of MSCI's market classification and accessibility reviews. Visible thought leadership and a strategic focus on ensuring all index methodologies remain relevant to investors globally is a key objective of the team. This work spans indexes for benchmark use or as the basis traded products and across all client segments. Foundational indexes based on the ever-expanding MSCI equity security universe, like the MSCI ACWI IMI, are a core responsibility in terms of their strategic design and rebalancing oversight. The group also works collaboratively with clients to help them meet their investment goals by enhancing their customized index solutions. This R&D effort requires innovation at scale to support proactively the building of capabilities in modelling, calculation, security coverage and data to meet client needs. The team is present in multiple locations across key regions. The group works closely with other groups within R&D as well as across the firm (product, client coverage, data, technology) to implement the research and product development agenda and to benefit from the substantial resources and expertise of the global MSCI organization. Your Key Responsibilities The Executive Director will be based in London, reporting to the Global Head of Index R&D, and lead index research initiatives supporting MSCI engagement with active ETF providers. They will serve as a strategic partner in ensuring operational excellence in related active indexation oversight and rebalancing processes, guiding any custom indexation needed as part of the client solution, and delivering analytical insights whether via tools, data services or content. You will be expected to: Partner with coverage and product teams to identify and develop opportunities with active ETF providers Deliver analytics, presentations and thought leadership content demonstrating MSCI index research capabilities in this fast-growing market segment Build trusted relationships with portfolio managers and product teams at client firms Map complex client investment strategies and needs onto MSCI index-based solutions Design and support hybrid active indexation methodologies that blend client and MSCI index inputs Conduct custom analytical work including portfolio diagnostics, factor exposures, and performance attribution Provide research-backed insights on index construction and optimization Stay current on active ETF industry trends and competitive landscape Oversee the operational execution of index rebalances for active ETF clients Ensure adherence to index methodologies and regulatory requirements Manage exception handling and help support communicating changes to stakeholders Your skills and experience that will help you excel 10 -15 years' experience in a quantitative or analytical role, preferably in portfolio management, index research, ETF product strategy, ETF product management, or in an investment decision tools company Strong understanding of equity markets, portfolio and index construction, and the investment decision-making processes for different investor types, investment styles and in different asset classes, Experience of writing compelling product and research content aligned with needs of different investor audiences. Advanced degree in finance, science, engineering or another highly analytical field. Good practical programming skills in Python and hands-on familiarity with statistical and database packages and SQL. Experience with AI coding assistant and tools High attention to detail, intellectual curiosity, and motivation. Strong interpersonal and verbal communication skills, with the ability to explain complex concepts to diverse client audiences About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on
