Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Mar 18, 2026
Full time
Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Mar 18, 2026
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Job Description INTERNAL AUDIT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. WHAT WE LOOK FOR Goldman Sachs internal auditors demonstrate strong risk and control mindsets, analytical exercise professional skepticism, and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, build relationships, and are able to evolve and thrive in teamwork and in a fast paced global environment. YOUR IMPACT As the third line of defense, Internal Audit's mission is to independently assess the firm's internal control structure, including governance processes and controls, risk management, and capital and anti financial crime frameworks, raise awareness of control risk and monitor the implementation of management's control measures. Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assess the firm's control culture and conduct risks Monitor management's implementation of control measures Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber security and technology risk, and engineering. RESPONSIBILITIES Have extensive audit experience relating to EU consumer compliance and the provision of an on line digital savings/deposit proposition, including new business initiatives Assist in every step of an audit, including scoping, planning, fieldwork and reporting Execute audit testing and supervise junior team members to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to IA senior management and business clients Follow up on open audit issues and their resolution Assist in the audit team's continuous monitoring effort to cover market and regulatory events, business and technology updates and audit/reviews completed Participate in department wide initiatives aimed at continually improving IA's processes and supporting infrastructure SKILLS AND RELEVANT EXPERIENCE In depth technical knowledge of EU consumer and depositor protection regulation, Irish consumer protection regulation, and different regulatory requirements during the lifecycle of consumer products (e.g. product and service design through to implementation, ongoing customer support and marketing) 8+ years of experience in internal audit, external audit or a related control function, preferably relating to an on line digital savings/deposit proposition An undergraduate degree in finance, accounting, or quantitative discipline Relevant certification or industry accreditation (e.g., ICAEW, ICAS, CFA) is a plus Experience with Data Analytics and Artificial Intelligence is a plus Experience in managing integrated business and technology audit engagements and/or projects Team oriented with a strong sense of ownership and accountability Strong leadership, interpersonal, and relationship management skills Strong verbal and written communication skills Highly motivated with the ability to multi task and remain organized in a fast paced environment Solid analytical skills ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Mar 18, 2026
Full time
Job Description INTERNAL AUDIT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. WHAT WE LOOK FOR Goldman Sachs internal auditors demonstrate strong risk and control mindsets, analytical exercise professional skepticism, and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, build relationships, and are able to evolve and thrive in teamwork and in a fast paced global environment. YOUR IMPACT As the third line of defense, Internal Audit's mission is to independently assess the firm's internal control structure, including governance processes and controls, risk management, and capital and anti financial crime frameworks, raise awareness of control risk and monitor the implementation of management's control measures. Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assess the firm's control culture and conduct risks Monitor management's implementation of control measures Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber security and technology risk, and engineering. RESPONSIBILITIES Have extensive audit experience relating to EU consumer compliance and the provision of an on line digital savings/deposit proposition, including new business initiatives Assist in every step of an audit, including scoping, planning, fieldwork and reporting Execute audit testing and supervise junior team members to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to IA senior management and business clients Follow up on open audit issues and their resolution Assist in the audit team's continuous monitoring effort to cover market and regulatory events, business and technology updates and audit/reviews completed Participate in department wide initiatives aimed at continually improving IA's processes and supporting infrastructure SKILLS AND RELEVANT EXPERIENCE In depth technical knowledge of EU consumer and depositor protection regulation, Irish consumer protection regulation, and different regulatory requirements during the lifecycle of consumer products (e.g. product and service design through to implementation, ongoing customer support and marketing) 8+ years of experience in internal audit, external audit or a related control function, preferably relating to an on line digital savings/deposit proposition An undergraduate degree in finance, accounting, or quantitative discipline Relevant certification or industry accreditation (e.g., ICAEW, ICAS, CFA) is a plus Experience with Data Analytics and Artificial Intelligence is a plus Experience in managing integrated business and technology audit engagements and/or projects Team oriented with a strong sense of ownership and accountability Strong leadership, interpersonal, and relationship management skills Strong verbal and written communication skills Highly motivated with the ability to multi task and remain organized in a fast paced environment Solid analytical skills ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firm wide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Job Title: Managing Consultant - Customer Data Analytics / Data Science Salary: £77,000-£88,000 + £8,000 bonus Location: Hybrid (UK-based) Type: Permanent About the Role We're partnering with a global consultancy at the intersection of data, AI, and design to appoint a Managing Consultant - Customer Data Analytics / Data Science. This role is ideal for a data leader who combines strong analytics expertise with the ability to inspire teams and shape client success. You'll lead customer analytics and Generative AI projects, develop people, and contribute to business growth while keeping hands-on involvement with advanced data solutions. What You'll Do Lead the delivery of customer data and AI-driven analytics projects, ensuring quality and impact. Manage and mentor junior consultants and data scientists, supporting their professional development. Apply LLM and Generative AI techniques to real-world marketing and customer use cases. Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data-driven solutions using Python and ML methods (predictive, classification, forecasting, deep learning). What You'll Bring 6+ years' experience in data science, analytics, or consulting. Proven success operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI-powered solutions. Proficiency in Python, machine learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background - leadership, commercial awareness, and consulting mindset are key. Why This Role Work on cutting-edge customer and AI projects for global brands. Step up in leadership while maintaining technical and strategic variety. No hard sales target, but exposure to soft business development and career growth toward senior management. If you're ready to lead teams, shape projects, and bring AI-driven customer insights to life, we'd love to hear from you. Rates depend on experience and client requirements
Mar 18, 2026
Full time
Job Title: Managing Consultant - Customer Data Analytics / Data Science Salary: £77,000-£88,000 + £8,000 bonus Location: Hybrid (UK-based) Type: Permanent About the Role We're partnering with a global consultancy at the intersection of data, AI, and design to appoint a Managing Consultant - Customer Data Analytics / Data Science. This role is ideal for a data leader who combines strong analytics expertise with the ability to inspire teams and shape client success. You'll lead customer analytics and Generative AI projects, develop people, and contribute to business growth while keeping hands-on involvement with advanced data solutions. What You'll Do Lead the delivery of customer data and AI-driven analytics projects, ensuring quality and impact. Manage and mentor junior consultants and data scientists, supporting their professional development. Apply LLM and Generative AI techniques to real-world marketing and customer use cases. Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data-driven solutions using Python and ML methods (predictive, classification, forecasting, deep learning). What You'll Bring 6+ years' experience in data science, analytics, or consulting. Proven success operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI-powered solutions. Proficiency in Python, machine learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background - leadership, commercial awareness, and consulting mindset are key. Why This Role Work on cutting-edge customer and AI projects for global brands. Step up in leadership while maintaining technical and strategic variety. No hard sales target, but exposure to soft business development and career growth toward senior management. If you're ready to lead teams, shape projects, and bring AI-driven customer insights to life, we'd love to hear from you. Rates depend on experience and client requirements
Job Title Research Scientist (Host-Microbiome Interactions and Microbial Metabolism) Job Title: Research Scientist (Host-Microbiome Interactions and Microbial Metabolism) Post Number: Closing Date: 22 Mar 2026 Grade: SC6 Starting Salary: £37,500-£45,350 Funding End Date: 28 Feb 2031 Hours per week: 37 Project Title: Nitrogen fixation and sulfur metabolism in the context of human gut health Months Duration: 36 Job Description Main Purpose of the Job The group will focus on sulphate and sulphite reducing bacteria, a key family of gut bacteria involved in sulfur and nitrogen cycling, and their interactions with the host and the wider gut microbiome. This position offers the opportunity to contribute to building a dynamic team at the interface of microbial physiology, metabolism, and host-microbe interactions. This is an exciting opportunity for a motivated microbiologist to bridge in vitro microbiome models and in vivo systems, using functional assays, molecular biology, and bioinformatics to uncover how key members of the Desulfovibrionaceae influence metabolic outcomes. We're looking for someone with a PhD in microbiology or a related field, ideally with experience in molecular microbiology, microbial genomics, or microbiome analysis. Experience with bioinformatics or animal models would be a great advantage. The post holder will work at the intersection of microbiology, molecular biology, and microbiome science to explore how sulfur- and nitrogen-transforming bacteria contribute to metabolic health outcomes. Key responsibilities include: Performing anaerobic culturing of gut bacteria, particularly within the Desulfovibrionaceae. Conducting gut model experiments to study microbiome-host interactions under different dietary conditions. Applying genetic engineering and functional genomics approaches to investigate key metabolic pathways. Performing microbiome sequencing and bioinformatics analyses to link microbial activity with metabolic phenotypes. Collaborating with internal and external partners within the Food, Microbiome and Health programme, and contributing to publications, presentations, and future grant proposals. Key Relationships The post holder will work closely with researchers within the Sayavedra Group and coordinate studies with internal and external collaborators, including the Narbad and Beraza groups, other human microbiome research teams and clinicians at the Norfolk and Norwich University Hospital, such as Dr Emma Webb. Main Activities & Responsibilities Percentage Design and conduct in vitro microbiome and bacterial functional assays to investigate sulfur and nitrogen metabolism 30% Integrate multi-omics datasets (metagenomics, transcriptomics, metabolomics) to identify metabolic pathways linked to health outcomes 20% Translate mechanistic insights from in vitro systems to in vivo models in collaboration with internal and external partners 20% Analyse, interpret, and present research findings; prepare manuscripts and contribute to grant applications 20% Ensure research, data management, and record-keeping comply with best scientific practice, ethics, and institutional policies 5% As agreed with line manager, any other duties commensurate with the nature of the role 5% Person Profile Education & Qualifications Requirement: PhD in microbiology, molecular microbiology, or a related field. Essential. Specialist Knowledge & Skills Experienced with R - Essential Anaerobic microbiology - Essential Proven research experience in microbial physiology, metabolism, or molecular microbiology - Essential Experience with animal models / tissue culture - Essential Microbiome or metagenomic data analysis - Essential Functional genomics and pathway analysis - Essential Practical experience on microbial genetics - Essential Familiarity with metabolomics or transcriptomics - Desirable Track record of publishing research in peer-reviewed journals - Essential Experience of conducting human studies, including sample collection or human research governance - Desirable Experience with in vitro colonic models - Desirable Experience supervising students - Desirable Interpersonal & Communication Skills Excellent communication skills, both written and oral - Essential Demonstrated ability to work independently and as part of a team - Essential Enthusiasm for contributing to a growing research group - Essential Experience in supervising and supporting the development of students - Essential Excellent interpersonal skills, with the ability to work alone and as part of a team - Essential Additional Requirements Attention to detail - Essential Commitment to supporting a respectful, inclusive and collaborative workplace culture - Essential Promotes equality and values diversity - Essential Willingness to work outside standard working hours when required - Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work - Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute - Essential Willingness to undertake any necessary training for the role - Essential Ability to maintain confidentiality and security of information where appropriate - Essential Who We Are Quadram Institute Bioscience The Quadram Institute is at the forefront of a new interface between food science, gut biology and health, developing solutions to worldwide challenges in food-related disease and human health. We are engaged in fundamental and translational food and health research, alongside clinical studies, endoscopy and industry, working together to become a leading international hub for food and health research, combining scientific excellence and clinical expertise, delivering impacts on patient care and accelerating innovation. The Quadram Institute is a diverse and multicultural scientific community. We thrive on our international and European links, appointing staff from across the world. Any candidate who would like further information on current or anticipated immigration requirements can contact the HR Team on (0) or . Research Scientist We're looking for a motivated Research Scientist to join the laboratory of Dr Lizbeth Sayavedra in the Food, Microbiome and Health programme at Quadram Institute Bioscience. The postholder will help investigate how microbial sulfur and nitrogen metabolism influences human health, with a particular focus on protein malnutrition and obesity. Research in the lab centres on sulphate- and sulphite-reducing bacteria of the Desulfovibrionaceae and their interactions with the host and the wider gut microbiome. Our work uses a range of advanced host relevant experimental systems, including in vitro and in vivo models, integrated with anaerobic microbiology and metagenomics. This position is ideally suited to a scientist with experience in host-based experimental systems who is motivated to apply microbiome and microbial metabolism approaches to mechanistic questions in host health. The host group and institute are committed to development of staff, and this role offers an exceptional environment for candidates to progress their careers. The role Designing and performing tissue culture, organoid, or in vivo experiments to investigate host-microbiome interactions Coordinating microbial perturbation experiments linked to dietary or metabolic interventions Anaerobic culturing and preparation of gut bacteria, particularly members of the Desulfovibrionaceae, for host interaction studies Application of genetic and functional genomics approaches to investigate sulfur and nitrogen metabolic pathways Integration of host experimental data with metagenomic analyses, including interpretation of microbial functional potential and activity Contribution to study design, data integration, publications, presentations, and future grant proposals The ideal candidate Candidates should hold a PhD in microbiology, molecular microbiology or a related discipline. The postholder will have demonstrable hands on experience with tissue culture, organoids, and/or in vivo models as well as a solid understanding of host-microbiome interactions and experimental design in host systems. Candidates should have a working knowledge of metagenomics and bioinformatics sufficient to analyse or interpret complex datasets and the ability to work independently and integrate results across host and microbial systems. Experience working with anaerobic bacteria or complex microbial communities and familiarity with Linux based environments or reproducible data analysis workflows would be advantageous. Additional information Salary on appointment will be within the range £37,500 to £45,350 per annum depending on qualifications and experience. This is a full-time contract of 36 months with the possibility for extension. This role meets the criteria for a visa application, and we encourage all qualified candidates to apply. Please contact the Human Resources Team if you have any questions regarding your application or visa options. Interviews will be held in late March / early April 2026. We are committed to equity . click apply for full job details
Mar 18, 2026
Full time
Job Title Research Scientist (Host-Microbiome Interactions and Microbial Metabolism) Job Title: Research Scientist (Host-Microbiome Interactions and Microbial Metabolism) Post Number: Closing Date: 22 Mar 2026 Grade: SC6 Starting Salary: £37,500-£45,350 Funding End Date: 28 Feb 2031 Hours per week: 37 Project Title: Nitrogen fixation and sulfur metabolism in the context of human gut health Months Duration: 36 Job Description Main Purpose of the Job The group will focus on sulphate and sulphite reducing bacteria, a key family of gut bacteria involved in sulfur and nitrogen cycling, and their interactions with the host and the wider gut microbiome. This position offers the opportunity to contribute to building a dynamic team at the interface of microbial physiology, metabolism, and host-microbe interactions. This is an exciting opportunity for a motivated microbiologist to bridge in vitro microbiome models and in vivo systems, using functional assays, molecular biology, and bioinformatics to uncover how key members of the Desulfovibrionaceae influence metabolic outcomes. We're looking for someone with a PhD in microbiology or a related field, ideally with experience in molecular microbiology, microbial genomics, or microbiome analysis. Experience with bioinformatics or animal models would be a great advantage. The post holder will work at the intersection of microbiology, molecular biology, and microbiome science to explore how sulfur- and nitrogen-transforming bacteria contribute to metabolic health outcomes. Key responsibilities include: Performing anaerobic culturing of gut bacteria, particularly within the Desulfovibrionaceae. Conducting gut model experiments to study microbiome-host interactions under different dietary conditions. Applying genetic engineering and functional genomics approaches to investigate key metabolic pathways. Performing microbiome sequencing and bioinformatics analyses to link microbial activity with metabolic phenotypes. Collaborating with internal and external partners within the Food, Microbiome and Health programme, and contributing to publications, presentations, and future grant proposals. Key Relationships The post holder will work closely with researchers within the Sayavedra Group and coordinate studies with internal and external collaborators, including the Narbad and Beraza groups, other human microbiome research teams and clinicians at the Norfolk and Norwich University Hospital, such as Dr Emma Webb. Main Activities & Responsibilities Percentage Design and conduct in vitro microbiome and bacterial functional assays to investigate sulfur and nitrogen metabolism 30% Integrate multi-omics datasets (metagenomics, transcriptomics, metabolomics) to identify metabolic pathways linked to health outcomes 20% Translate mechanistic insights from in vitro systems to in vivo models in collaboration with internal and external partners 20% Analyse, interpret, and present research findings; prepare manuscripts and contribute to grant applications 20% Ensure research, data management, and record-keeping comply with best scientific practice, ethics, and institutional policies 5% As agreed with line manager, any other duties commensurate with the nature of the role 5% Person Profile Education & Qualifications Requirement: PhD in microbiology, molecular microbiology, or a related field. Essential. Specialist Knowledge & Skills Experienced with R - Essential Anaerobic microbiology - Essential Proven research experience in microbial physiology, metabolism, or molecular microbiology - Essential Experience with animal models / tissue culture - Essential Microbiome or metagenomic data analysis - Essential Functional genomics and pathway analysis - Essential Practical experience on microbial genetics - Essential Familiarity with metabolomics or transcriptomics - Desirable Track record of publishing research in peer-reviewed journals - Essential Experience of conducting human studies, including sample collection or human research governance - Desirable Experience with in vitro colonic models - Desirable Experience supervising students - Desirable Interpersonal & Communication Skills Excellent communication skills, both written and oral - Essential Demonstrated ability to work independently and as part of a team - Essential Enthusiasm for contributing to a growing research group - Essential Experience in supervising and supporting the development of students - Essential Excellent interpersonal skills, with the ability to work alone and as part of a team - Essential Additional Requirements Attention to detail - Essential Commitment to supporting a respectful, inclusive and collaborative workplace culture - Essential Promotes equality and values diversity - Essential Willingness to work outside standard working hours when required - Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work - Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute - Essential Willingness to undertake any necessary training for the role - Essential Ability to maintain confidentiality and security of information where appropriate - Essential Who We Are Quadram Institute Bioscience The Quadram Institute is at the forefront of a new interface between food science, gut biology and health, developing solutions to worldwide challenges in food-related disease and human health. We are engaged in fundamental and translational food and health research, alongside clinical studies, endoscopy and industry, working together to become a leading international hub for food and health research, combining scientific excellence and clinical expertise, delivering impacts on patient care and accelerating innovation. The Quadram Institute is a diverse and multicultural scientific community. We thrive on our international and European links, appointing staff from across the world. Any candidate who would like further information on current or anticipated immigration requirements can contact the HR Team on (0) or . Research Scientist We're looking for a motivated Research Scientist to join the laboratory of Dr Lizbeth Sayavedra in the Food, Microbiome and Health programme at Quadram Institute Bioscience. The postholder will help investigate how microbial sulfur and nitrogen metabolism influences human health, with a particular focus on protein malnutrition and obesity. Research in the lab centres on sulphate- and sulphite-reducing bacteria of the Desulfovibrionaceae and their interactions with the host and the wider gut microbiome. Our work uses a range of advanced host relevant experimental systems, including in vitro and in vivo models, integrated with anaerobic microbiology and metagenomics. This position is ideally suited to a scientist with experience in host-based experimental systems who is motivated to apply microbiome and microbial metabolism approaches to mechanistic questions in host health. The host group and institute are committed to development of staff, and this role offers an exceptional environment for candidates to progress their careers. The role Designing and performing tissue culture, organoid, or in vivo experiments to investigate host-microbiome interactions Coordinating microbial perturbation experiments linked to dietary or metabolic interventions Anaerobic culturing and preparation of gut bacteria, particularly members of the Desulfovibrionaceae, for host interaction studies Application of genetic and functional genomics approaches to investigate sulfur and nitrogen metabolic pathways Integration of host experimental data with metagenomic analyses, including interpretation of microbial functional potential and activity Contribution to study design, data integration, publications, presentations, and future grant proposals The ideal candidate Candidates should hold a PhD in microbiology, molecular microbiology or a related discipline. The postholder will have demonstrable hands on experience with tissue culture, organoids, and/or in vivo models as well as a solid understanding of host-microbiome interactions and experimental design in host systems. Candidates should have a working knowledge of metagenomics and bioinformatics sufficient to analyse or interpret complex datasets and the ability to work independently and integrate results across host and microbial systems. Experience working with anaerobic bacteria or complex microbial communities and familiarity with Linux based environments or reproducible data analysis workflows would be advantageous. Additional information Salary on appointment will be within the range £37,500 to £45,350 per annum depending on qualifications and experience. This is a full-time contract of 36 months with the possibility for extension. This role meets the criteria for a visa application, and we encourage all qualified candidates to apply. Please contact the Human Resources Team if you have any questions regarding your application or visa options. Interviews will be held in late March / early April 2026. We are committed to equity . click apply for full job details
Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion techniques Interpret and communicate cutting-edge research in both theory and experiment with internal teams Contribute to the wider scientific community through publications, conferences, or technical collaboration Support and mentor colleagues, contributing to a collaborative research and engineering environment Essential Skills & Experience BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline 2+ years of industry experience developing and deploying machine learning models Strong programming skills in Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate effectively with both technical and non-technical stakeholders Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment Ability to learn complex topics quickly and translate research into practical solutions Desirable Skills & Experience PhD in Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science, or quantum machine learning This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies. ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems. Please apply via the link for immediate consideration!
Mar 18, 2026
Full time
Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion techniques Interpret and communicate cutting-edge research in both theory and experiment with internal teams Contribute to the wider scientific community through publications, conferences, or technical collaboration Support and mentor colleagues, contributing to a collaborative research and engineering environment Essential Skills & Experience BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline 2+ years of industry experience developing and deploying machine learning models Strong programming skills in Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate effectively with both technical and non-technical stakeholders Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment Ability to learn complex topics quickly and translate research into practical solutions Desirable Skills & Experience PhD in Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science, or quantum machine learning This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies. ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems. Please apply via the link for immediate consideration!
A leading digital marketing agency in the United Kingdom is seeking a Data Scientist to support the development of machine learning models and contribute to data-driven marketing strategies. The position requires 2-4 years of experience in data analysis, strong skills in Python and SQL, and a proactive approach to problem-solving. This role offers a collaborative environment with opportunities for growth and development, as well as a range of employee perks including flexible working hours and a supportive culture.
Mar 18, 2026
Full time
A leading digital marketing agency in the United Kingdom is seeking a Data Scientist to support the development of machine learning models and contribute to data-driven marketing strategies. The position requires 2-4 years of experience in data analysis, strong skills in Python and SQL, and a proactive approach to problem-solving. This role offers a collaborative environment with opportunities for growth and development, as well as a range of employee perks including flexible working hours and a supportive culture.
Required from: Immediate Contract term: Permanent Hours: Full Time / Term time Salary: Support Staff Grade 4 The role Northwood College for Girls seeks a dedicated and knowledgeable Lead Science Technician to join our forward thinking, energetic and diverse Science team. Leading and managing our current team of four experienced technicians, the post holder will be responsible for preparing equipment for lessons and experiments, developing the schemes of learning with the Head of Subject, ensuring all chemicals and apparatus are stored correctly and adhering to the COSHH standards. The successful candidate must be willing to work across subject areas, including STEM, but the role will be tailored to the strengths of the individual appointed to best meet the needs of the department. Previous experience of working in a school science laboratory would be an advantage. The successful candidate will have good organisational skills, be a confident ICT user and be willing to work alone as well part of a team. Professional development opportunities are plentiful, both in house and across the GDST. You will also need to demonstrate enthusiasm for Science and STEM along with the ability to communicate effectively with young people aged 11 to 18. We value collaboration and work well as a team to provide the very best Science education to our students as possible. The Department We have a newly opened Science building (The Alvarium) at the heart of our school, with state-of-the-art labs and facilities, offering a cutting-edge teaching and learning environment. We have a strong STEM focus and are very well resourced, and our goal is to help students awaken their inner scientists-so that no matter what they decide to pursue as a career, they can ask questions, develop creative solutions, think critically about data, draw conclusions and be scientifically literate members of society. We highly value practical work and this makes up an integral part of our curriculum. All students from Year 5 to Year 8 have a dedicated timetabled STEM lesson to help develop their investigative skills, delving into complex scientific areas, from robotics to materials science and engineering. We have a dedicated Maker Space lab, which includes 3D Printers and a Laser Cutter, as well as a dedicated Junior School Science Lab. Our Heads of Biology, Chemistry and Physics work closely together, overseen by our Director of Science, to ensure that connections are made across the three sciences starting in KS3 with the Activate scheme of work. In Year 9 students begin the GCSE programme of study and choose either combined or separate science starting in Year 10. Over half of the Sixth Form choose to study one or more science options at A level as a precursor to university study in such areas as medicine, dentistry, optometry, pharmacy, engineering and pure sciences. We run an active extracurricular programme, with clubs and activities across all key stages, from the STEM team and CREST to Biomedical Society and EcoWarriors. In recent years we have had a team of Sixth Form students compete in and win the TfL Innovate programme and one of our Year 6 students was a finalist in the Young Imagineers competition. Students regularly prepare for and compete in the Royal Society's Biology and Chemistry Olympiads; we also hold annual 'Biology Week' and 'Science Week' events in line with national celebration of these subjects where students participate in competitions and engage with activities to further develop their scientific interest. As part of the GDST, we are able to offer the GDST Space Technology Diploma to our High Flyer students. The Physics Department has also led trips to Switzerland to visit CERN and the Biology department have led Biodiversity expeditions run by OPWALL, most recently to Mexico. About the School Northwood College for Girls is an independent, academically selective day school for approximately 860 students aged 3-18. At NWC, we value character and academic rigour equally. Our curriculum ignites intellectual curiosity and fosters emotional intelligence, building resilience through challenge. An NWC education enables every individual to lead a purposeful life and feel successful in their learning. Both pupils and staff are encouraged to find and develop their passions and talents, through clubs, societies and an extensive programme of CPD. All members of the NWC community are expected to act with compassion and integrity, with respect for others and the environment and an awareness of global responsibility. Everyone is equally valued in our NWC family and our dynamic young women are proud of their school. Looking after one another and rejoicing in one another's successes comes second nature to a NWC student as does her 'can-do' attitude and drive. Benefits As part of the GDST, the UK's leading network of independent girls' schools, we can offer a variety of benefits, such as: Competitive salaries and pay progression Access to extensive professional development opportunities Training grants for qualifications Generous pension scheme Free life assurance benefit Health Assured Employee Assistance Programme A discount of up to 50% on fees for children at GDST schools Interest free loans for training, computer purchase loans and travel season ticket loans A Cycle to Work scheme Competitive terms and conditions of employment Access to the school gym and swimming pool Free school lunches during term time Retail and lifestyle discounts via Pluxee Financial guidance and support For further details and an application form please click here. Studies have shown that women and people from under represented ethnicities are less likely to apply for jobs unless they meet every single aspect of a job description and person specification. At NWC we are committed to building a diverse and inclusive workplace, so we encourage you to apply even if your past experience does not align perfectly with every qualification or experience in the information provided. Applications must be received by 12pm on Monday 23 February 2026. Interviews will take place shortly after the application deadline. References for shortlisted candidates will be taken up before interview. GDST is committed to diversity, inclusion and real change: a family where every individual is valued, respected and included. We are dedicated to safeguarding and promoting the welfare of children. As part of our commitment to ensuring a safe environment for children, all applicants must be willing to undergo child protection screening appropriate to the post. This process includes checks with past employers and the Disclosure and Barring Service (DBS). We are an equal opportunity employer and welcome applications from all qualified individuals. To be eligible for employment, candidates must provide proof of their right to work in the UK.
Mar 18, 2026
Full time
Required from: Immediate Contract term: Permanent Hours: Full Time / Term time Salary: Support Staff Grade 4 The role Northwood College for Girls seeks a dedicated and knowledgeable Lead Science Technician to join our forward thinking, energetic and diverse Science team. Leading and managing our current team of four experienced technicians, the post holder will be responsible for preparing equipment for lessons and experiments, developing the schemes of learning with the Head of Subject, ensuring all chemicals and apparatus are stored correctly and adhering to the COSHH standards. The successful candidate must be willing to work across subject areas, including STEM, but the role will be tailored to the strengths of the individual appointed to best meet the needs of the department. Previous experience of working in a school science laboratory would be an advantage. The successful candidate will have good organisational skills, be a confident ICT user and be willing to work alone as well part of a team. Professional development opportunities are plentiful, both in house and across the GDST. You will also need to demonstrate enthusiasm for Science and STEM along with the ability to communicate effectively with young people aged 11 to 18. We value collaboration and work well as a team to provide the very best Science education to our students as possible. The Department We have a newly opened Science building (The Alvarium) at the heart of our school, with state-of-the-art labs and facilities, offering a cutting-edge teaching and learning environment. We have a strong STEM focus and are very well resourced, and our goal is to help students awaken their inner scientists-so that no matter what they decide to pursue as a career, they can ask questions, develop creative solutions, think critically about data, draw conclusions and be scientifically literate members of society. We highly value practical work and this makes up an integral part of our curriculum. All students from Year 5 to Year 8 have a dedicated timetabled STEM lesson to help develop their investigative skills, delving into complex scientific areas, from robotics to materials science and engineering. We have a dedicated Maker Space lab, which includes 3D Printers and a Laser Cutter, as well as a dedicated Junior School Science Lab. Our Heads of Biology, Chemistry and Physics work closely together, overseen by our Director of Science, to ensure that connections are made across the three sciences starting in KS3 with the Activate scheme of work. In Year 9 students begin the GCSE programme of study and choose either combined or separate science starting in Year 10. Over half of the Sixth Form choose to study one or more science options at A level as a precursor to university study in such areas as medicine, dentistry, optometry, pharmacy, engineering and pure sciences. We run an active extracurricular programme, with clubs and activities across all key stages, from the STEM team and CREST to Biomedical Society and EcoWarriors. In recent years we have had a team of Sixth Form students compete in and win the TfL Innovate programme and one of our Year 6 students was a finalist in the Young Imagineers competition. Students regularly prepare for and compete in the Royal Society's Biology and Chemistry Olympiads; we also hold annual 'Biology Week' and 'Science Week' events in line with national celebration of these subjects where students participate in competitions and engage with activities to further develop their scientific interest. As part of the GDST, we are able to offer the GDST Space Technology Diploma to our High Flyer students. The Physics Department has also led trips to Switzerland to visit CERN and the Biology department have led Biodiversity expeditions run by OPWALL, most recently to Mexico. About the School Northwood College for Girls is an independent, academically selective day school for approximately 860 students aged 3-18. At NWC, we value character and academic rigour equally. Our curriculum ignites intellectual curiosity and fosters emotional intelligence, building resilience through challenge. An NWC education enables every individual to lead a purposeful life and feel successful in their learning. Both pupils and staff are encouraged to find and develop their passions and talents, through clubs, societies and an extensive programme of CPD. All members of the NWC community are expected to act with compassion and integrity, with respect for others and the environment and an awareness of global responsibility. Everyone is equally valued in our NWC family and our dynamic young women are proud of their school. Looking after one another and rejoicing in one another's successes comes second nature to a NWC student as does her 'can-do' attitude and drive. Benefits As part of the GDST, the UK's leading network of independent girls' schools, we can offer a variety of benefits, such as: Competitive salaries and pay progression Access to extensive professional development opportunities Training grants for qualifications Generous pension scheme Free life assurance benefit Health Assured Employee Assistance Programme A discount of up to 50% on fees for children at GDST schools Interest free loans for training, computer purchase loans and travel season ticket loans A Cycle to Work scheme Competitive terms and conditions of employment Access to the school gym and swimming pool Free school lunches during term time Retail and lifestyle discounts via Pluxee Financial guidance and support For further details and an application form please click here. Studies have shown that women and people from under represented ethnicities are less likely to apply for jobs unless they meet every single aspect of a job description and person specification. At NWC we are committed to building a diverse and inclusive workplace, so we encourage you to apply even if your past experience does not align perfectly with every qualification or experience in the information provided. Applications must be received by 12pm on Monday 23 February 2026. Interviews will take place shortly after the application deadline. References for shortlisted candidates will be taken up before interview. GDST is committed to diversity, inclusion and real change: a family where every individual is valued, respected and included. We are dedicated to safeguarding and promoting the welfare of children. As part of our commitment to ensuring a safe environment for children, all applicants must be willing to undergo child protection screening appropriate to the post. This process includes checks with past employers and the Disclosure and Barring Service (DBS). We are an equal opportunity employer and welcome applications from all qualified individuals. To be eligible for employment, candidates must provide proof of their right to work in the UK.
A leading security and intelligence firm in the UK is looking for a Data Scientist to join its Security and Intelligence consulting team. The successful candidate will focus on developing advanced analytics and machine learning capabilities. Responsibilities include designing and deploying AI solutions, collaborating with multi-disciplinary teams, and handling sensitive data. This role is crucial for providing operational intelligence and requires eligibility for enhanced security clearance.
Mar 18, 2026
Full time
A leading security and intelligence firm in the UK is looking for a Data Scientist to join its Security and Intelligence consulting team. The successful candidate will focus on developing advanced analytics and machine learning capabilities. Responsibilities include designing and deploying AI solutions, collaborating with multi-disciplinary teams, and handling sensitive data. This role is crucial for providing operational intelligence and requires eligibility for enhanced security clearance.
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Mar 18, 2026
Full time
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Software Developer Surrey - Hybrid (3 Days in Office, Every Two Weeks) £50,000 to £65,000. A great opportunity to join a growing consultancy where you will build full stack software used across aviation, defence and public sector environments. You will work on varied, meaningful projects while enjoying autonomy, flexibility and strong technical standards. The Company They are a specialist consulting organisation delivering end-to-end software products that solve complex problems for their customers. They focus on innovation, quality and collaborative engineering, offering a supportive environment where you can rotate between challenging projects and contribute to real impact. The Role Deliver full stack software using Java and a modern frontend framework. Contribute across design, development and cloud deployment. Write high-quality, maintainable code and follow best practices. Work closely with developers and data scientists on varied projects. Help shape engineering standards and contribute to a positive team culture. Your Skills and Experience Strong commercial experience with Java and Spring. Skilled in Angular or another modern frontend framework. Familiarity with cloud environments, ideally Azure, plus tools such as Terraform. Confident working full stack and across the SDLC. Able to work independently and collaborate effectively. Eligible to obtain UK Security Clearance. What They Offer £50,000 to £65,000 depending on experience. Hybrid working with 1.5 days per week onsite. 25 days holiday plus bank holidays and option to buy 5 more. Pension matched to 5 percent. Five training days and five charity days per year. One month per year working remotely abroad. Annual performance-based pay review and bonus.
Mar 18, 2026
Full time
Software Developer Surrey - Hybrid (3 Days in Office, Every Two Weeks) £50,000 to £65,000. A great opportunity to join a growing consultancy where you will build full stack software used across aviation, defence and public sector environments. You will work on varied, meaningful projects while enjoying autonomy, flexibility and strong technical standards. The Company They are a specialist consulting organisation delivering end-to-end software products that solve complex problems for their customers. They focus on innovation, quality and collaborative engineering, offering a supportive environment where you can rotate between challenging projects and contribute to real impact. The Role Deliver full stack software using Java and a modern frontend framework. Contribute across design, development and cloud deployment. Write high-quality, maintainable code and follow best practices. Work closely with developers and data scientists on varied projects. Help shape engineering standards and contribute to a positive team culture. Your Skills and Experience Strong commercial experience with Java and Spring. Skilled in Angular or another modern frontend framework. Familiarity with cloud environments, ideally Azure, plus tools such as Terraform. Confident working full stack and across the SDLC. Able to work independently and collaborate effectively. Eligible to obtain UK Security Clearance. What They Offer £50,000 to £65,000 depending on experience. Hybrid working with 1.5 days per week onsite. 25 days holiday plus bank holidays and option to buy 5 more. Pension matched to 5 percent. Five training days and five charity days per year. One month per year working remotely abroad. Annual performance-based pay review and bonus.
Role Overview: We are looking for a highly analytical, hands-on Full Stack Data Scientist / Engineer to design, build and deploy data-driven solutions that solve real operational and commercial problems. This role is ideal for someone who enjoys combining data science, software development and data engineering to create robust, scalable solutions that deliver measurable business value. You will work across the full lifecycle of analytics and AI delivery: from understanding business problems, designing data pipelines and developing models, through to deployment, optimisation and ongoing improvement. You will play a key role in shaping solutions across forecasting, site selection, ordering, production, rota scheduling, logistics and online services optimisation, while also helping to extend our Bread GPT large language model insight synthesis capability.This is a hands-on role for someone who can code well in Python, solve data engineering challenges, and work closely with colleagues and partners to turn ideas into production-ready solutions. Business Overview We are a fast growing and fast paced, highly successful artisan food manufacturing and hospitality group delivering high-quality baked goods to our customers. We aim to feed better people better by focusing on people, technology, innovation and sustainability. We are looking for a talented Full Stack Data Scientist / Data Engineer to join our team and drive the development and management of our enterprise-grade applications across our bakeries. Responsibilities: Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ordering, production, rota scheduling, logistics and online services optimisation. Extend functionality of our Bread GPT service (Large Language Model insight synthesis engine). Data engineering: build and develop ETL processes in Microsoft Fabric to support reporting, insight and applied AI models hands-on role working with other staff and partners. Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications. Ensure the continuous development and delivery of solutions. Monitor and evolve solutions. Mentor and guide junior team members, fostering a culture of continuous learning and improvement. Develop effective working relationships with colleagues within and beyond the Technology team to ensure that a consistent, high-quality service is delivered. ARE YOU THE MISSING INGREDIENT Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience within excellent knowledge of Python and preferably R. Knowledge of ETL processes - ideally basic understanding of Microsoft ETL (Data Factory / Synapse / Fabric) Knowledge of databases (SQL & NoSQL) and API development/integration. Understanding of software development and application design. Proven experience in building data science solutions and developing customised LLM applications. Strong interest in technology. Excellent problem-solving skills and attention to detail. Knowledge of effective business analysis - ability to gather, document, and analyse business requirements effectively and the experience creating user stories, process flows, and wireframes. Ability to work effectively in a fast-paced, dynamic environment. Strong communication and collaboration skills. "Can do" outlook and approach to work. Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques. Ability to prioritise issues according to business needs, and to escalate when necessary/appropriate, and problem solve Preferred Qualifications: Experience in manufacturing, retail or hospitality industries. Knowledge of programming languages and frameworks. BENEFITS BAKED IN Free food and drink when working 50% off food and drink when not working 33 days holiday Pension Scheme Discounts and Savings from high-street retailers and restaurants 24 hour GP service Cycle to work scheme Enhanced Maternity package Development programmes for you to RISE with GAIL's
Mar 18, 2026
Full time
Role Overview: We are looking for a highly analytical, hands-on Full Stack Data Scientist / Engineer to design, build and deploy data-driven solutions that solve real operational and commercial problems. This role is ideal for someone who enjoys combining data science, software development and data engineering to create robust, scalable solutions that deliver measurable business value. You will work across the full lifecycle of analytics and AI delivery: from understanding business problems, designing data pipelines and developing models, through to deployment, optimisation and ongoing improvement. You will play a key role in shaping solutions across forecasting, site selection, ordering, production, rota scheduling, logistics and online services optimisation, while also helping to extend our Bread GPT large language model insight synthesis capability.This is a hands-on role for someone who can code well in Python, solve data engineering challenges, and work closely with colleagues and partners to turn ideas into production-ready solutions. Business Overview We are a fast growing and fast paced, highly successful artisan food manufacturing and hospitality group delivering high-quality baked goods to our customers. We aim to feed better people better by focusing on people, technology, innovation and sustainability. We are looking for a talented Full Stack Data Scientist / Data Engineer to join our team and drive the development and management of our enterprise-grade applications across our bakeries. Responsibilities: Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ordering, production, rota scheduling, logistics and online services optimisation. Extend functionality of our Bread GPT service (Large Language Model insight synthesis engine). Data engineering: build and develop ETL processes in Microsoft Fabric to support reporting, insight and applied AI models hands-on role working with other staff and partners. Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications. Ensure the continuous development and delivery of solutions. Monitor and evolve solutions. Mentor and guide junior team members, fostering a culture of continuous learning and improvement. Develop effective working relationships with colleagues within and beyond the Technology team to ensure that a consistent, high-quality service is delivered. ARE YOU THE MISSING INGREDIENT Ideally a bachelor's degree in Computer Science, Analytics, Engineering, or a related field. Minimum of 3+ years of experience within excellent knowledge of Python and preferably R. Knowledge of ETL processes - ideally basic understanding of Microsoft ETL (Data Factory / Synapse / Fabric) Knowledge of databases (SQL & NoSQL) and API development/integration. Understanding of software development and application design. Proven experience in building data science solutions and developing customised LLM applications. Strong interest in technology. Excellent problem-solving skills and attention to detail. Knowledge of effective business analysis - ability to gather, document, and analyse business requirements effectively and the experience creating user stories, process flows, and wireframes. Ability to work effectively in a fast-paced, dynamic environment. Strong communication and collaboration skills. "Can do" outlook and approach to work. Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques. Ability to prioritise issues according to business needs, and to escalate when necessary/appropriate, and problem solve Preferred Qualifications: Experience in manufacturing, retail or hospitality industries. Knowledge of programming languages and frameworks. BENEFITS BAKED IN Free food and drink when working 50% off food and drink when not working 33 days holiday Pension Scheme Discounts and Savings from high-street retailers and restaurants 24 hour GP service Cycle to work scheme Enhanced Maternity package Development programmes for you to RISE with GAIL's
Job Title: Water Quality Network Scientist Location: Walsall/Cambridge, England, United Kingdom Salary: £30,000 Make a real impact on public health and water quality. As a Water Quality Network Scientist, you'll analyse network performance, spot emerging risks, and help keep our customers' water safe and reliable. You'll work across teams, support investigations, contribute to Drinking Water Safety Plans, and play a key role in maintaining regulatory compliance. If you're looking for a meaningful scientific role with variety, responsibility, and the chance to shape real-world outcomes, this is an opportunity to grow your expertise and make a difference every day. About Us At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that's where you come in. The Role The Water Quality Network Scientist is responsible for ensuring that water quality risks within the distribution network are identified, assessed, and effectively managed. You will analyse performance data, carry out investigations, complete audits, and provide clear reporting to internal and external stakeholders. The role requires close working relationships with operational teams, capital delivery, asset management, and regulatory bodies to maintain compliance and drive improvements. Key Responsibilities Analyse distribution network and operational data to identify water quality issues and performance trends. Provide timely advice to operational teams and track the effectiveness of corrective actions. Complete regulatory investigations and produce high quality reports for water quality standard breaches or areas of concern. Conduct scheduled audits of distribution networks, storage sites, and contractor activities. Produce monthly audit reports and ensure actions are completed by responsible teams. Support compliance with internal standards and regulatory expectations. Maintain and update risk assessments for storage and distribution assets. Work with the DWSP and Capital Delivery teams to ensure risks are accurately reflected in Drinking Water Safety Plans and investment planning. Ensure risk changes are documented and communicated effectively. Represent the water quality function in cross departmental meetings and operational forums. Deliver targeted training and guidance to strengthen water quality awareness across teams. Build strong working relationships with internal stakeholders and external bodies such as DWI, NAVs, and UKHSA. Participate in the out of hours standby rota, providing expert advice during incidents and supporting operational response. Demonstrate South Staffs Water values: Equality, Diversity and Inclusion, Excellence in Service, Responsibility, Trust, and Respect. Ensure adherence to compliance standards and operate with integrity at all times. What You'll Need Competencies / Experience / Knowledge Experience within the water industry, ideally in water quality, operations, or compliance. Strong analytical skills with the ability to interpret data and identify performance issues. Experience conducting risk assessments and supporting DWSP processes. Practical experience carrying out audits and ensuring follow up actions are completed. Exposure to regulatory reporting or incident investigation. Comfortable working with operational field teams and cross functional colleagues. Education / Qualifications Essential Graduate/HND level qualification in a relevant scientific discipline. Strong PC literacy and ability to use data systems effectively. Excellent communication skills across all levels. Knowledge of risk assessment processes. Full valid driving licence. Desirable Previous experience in the water industry. Ability to conduct site audits. Knowledge of water industry and water quality regulations. Understanding of water fitting regulations. What You'll Get in Return: A competitive salary plus benefits. 25 days holiday + bank holidays. Company pension with employer contributions. 24-hour helpline providing free and confidential advice to you and your family on financial, legal, marital, and health matters. Eyecare vouchers - via Specsavers. Employee Assistance Programme (EAP). 24/7 remote GP access.
Mar 18, 2026
Full time
Job Title: Water Quality Network Scientist Location: Walsall/Cambridge, England, United Kingdom Salary: £30,000 Make a real impact on public health and water quality. As a Water Quality Network Scientist, you'll analyse network performance, spot emerging risks, and help keep our customers' water safe and reliable. You'll work across teams, support investigations, contribute to Drinking Water Safety Plans, and play a key role in maintaining regulatory compliance. If you're looking for a meaningful scientific role with variety, responsibility, and the chance to shape real-world outcomes, this is an opportunity to grow your expertise and make a difference every day. About Us At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that's where you come in. The Role The Water Quality Network Scientist is responsible for ensuring that water quality risks within the distribution network are identified, assessed, and effectively managed. You will analyse performance data, carry out investigations, complete audits, and provide clear reporting to internal and external stakeholders. The role requires close working relationships with operational teams, capital delivery, asset management, and regulatory bodies to maintain compliance and drive improvements. Key Responsibilities Analyse distribution network and operational data to identify water quality issues and performance trends. Provide timely advice to operational teams and track the effectiveness of corrective actions. Complete regulatory investigations and produce high quality reports for water quality standard breaches or areas of concern. Conduct scheduled audits of distribution networks, storage sites, and contractor activities. Produce monthly audit reports and ensure actions are completed by responsible teams. Support compliance with internal standards and regulatory expectations. Maintain and update risk assessments for storage and distribution assets. Work with the DWSP and Capital Delivery teams to ensure risks are accurately reflected in Drinking Water Safety Plans and investment planning. Ensure risk changes are documented and communicated effectively. Represent the water quality function in cross departmental meetings and operational forums. Deliver targeted training and guidance to strengthen water quality awareness across teams. Build strong working relationships with internal stakeholders and external bodies such as DWI, NAVs, and UKHSA. Participate in the out of hours standby rota, providing expert advice during incidents and supporting operational response. Demonstrate South Staffs Water values: Equality, Diversity and Inclusion, Excellence in Service, Responsibility, Trust, and Respect. Ensure adherence to compliance standards and operate with integrity at all times. What You'll Need Competencies / Experience / Knowledge Experience within the water industry, ideally in water quality, operations, or compliance. Strong analytical skills with the ability to interpret data and identify performance issues. Experience conducting risk assessments and supporting DWSP processes. Practical experience carrying out audits and ensuring follow up actions are completed. Exposure to regulatory reporting or incident investigation. Comfortable working with operational field teams and cross functional colleagues. Education / Qualifications Essential Graduate/HND level qualification in a relevant scientific discipline. Strong PC literacy and ability to use data systems effectively. Excellent communication skills across all levels. Knowledge of risk assessment processes. Full valid driving licence. Desirable Previous experience in the water industry. Ability to conduct site audits. Knowledge of water industry and water quality regulations. Understanding of water fitting regulations. What You'll Get in Return: A competitive salary plus benefits. 25 days holiday + bank holidays. Company pension with employer contributions. 24-hour helpline providing free and confidential advice to you and your family on financial, legal, marital, and health matters. Eyecare vouchers - via Specsavers. Employee Assistance Programme (EAP). 24/7 remote GP access.
About The Role We're looking for an experienced and motivated individual to join our growing data science and analytics team as we seek to expand our data science offering for clients of our market leading software, iaptus. The ideal candidate will be passionate about interpreting and analysing data, providing actionable insights, and have a flair for data visualisation and 'story-telling' with data. Mayden is passionate about delivering impactful healthcare software that changes what's possible for clinicians and patients. Come and be part of a team that thrives on working collaboratively to deliver the best possible solutions for our customers. We are an agile, self managing organisation. Driven by our values of collaboration, contribution, forwarding thinking and transparency. Our team members work together to share the responsibilities of managing the work and achieving our purpose - transforming health and care together. Key responsibilities Work in an agile environment in a growing team Play an active role in shaping the future direction of analytics and data science at Mayden Be responsible for developing and maintaining statistical models and machine learning algorithms and applying these to large healthcare data sets Work with clients and others within Mayden to develop valuable insights in response to real needs and issues facing NHS trusts. Drive cutting edge research and contribute to developing commercially deployable products and bespoke analyses Work within a collaborative team who actively share learning with each other and the wider company Contribute to generating data science reports for healthcare professionals, using data visualisation and statistical analysis to tell stories to a variety of audiences which lead to actionable change Skills and experience A Master's degree in data science or other relevant field or equivalent experience A deep understanding of data analysis, statistical methods, machine learning and applying these concepts to large data sets Experience with coding and the use of statistical computing software, for example in R or Python Knowledge of Git or other source control software The following would be advantageous: Exposure to agile methodologies, preferably scrum Experience with AWS technologies, namely S3, ECR, SageMaker, API Gateway, Redshift and Bedrock Experience in analysing healthcare sector data, and an awareness of the sensitivities around data and research in this field Exposure to working with clients and customers, validating project and product specifications to meet the needs of a wide range of stakeholders Experience with developing intuitive and accessible data visualisations, including use of platforms such as Tableau or Power BI Experience with SQL About you You are a team player: You're adaptable and able to work with and facilitate continuous improvement with excellent communication skills You are data-driven: You have an analytical mind with the ability to learn fast and you enjoy solving mathematical or logical problems. You are conscientious and detail oriented: You have a strong attention to detail and excellent prioritisation and self organisation skills whilst recognising the balance between perfection and progress. You are self driven: You can take the initiative in a flat structure company and are able to seek and understand the work to be done for the benefit of our customer. How to apply Please do upload the following on to the portal when you are applying: A covering letter describing your interest in the role, what you are passionate about and what you think you would bring to the team and to Mayden. (We do read these and enjoy hearing about you and your interests). Your CV (all those amazing things you achieved and done) A copy of your passport and if required your share code and date of birth. We need to have evidence that you are eligible to work in the UK. Please note: Applications will not be put forward if the above are missing. This role is not eligible for sponsorship by Mayden for a skilled worker visa. We are therefore unable to accept applications from individuals who would require an employer to sponsor them for a work permit. Benefits life assurance private health insurance pension (enhanced after successful completion of probation) personal training and conference budget onsite gym parking, including EV charging points 25 days annual leave plus bank holidays (with the option to buy or sell annual leave after probation is completed). Hours and Location Full and part time workers will be considered. This role is based in our Bath office and you must be located (or be able to relocate) to within a reasonable commuting distance. Collaboration is one of our four company values - we work best together. We believe there is significant benefit from working face to face when doing so. At the same time, some work may be carried out just as effectively alone and away from the office. We have therefore created a flexible 'place of work' policy that asks everyone to be where the work of the day is best completed and overall spend enough time in the office with others to maintain relationships and communication. This means there are no fixed days, or number of days, when you should be in the office or can work at home. In any given week you may need to work from the office every day or no days! It all depends on the work being done and you are expected to be flexible. Many people find this approach means they work in the office 3 or more days a week but this varies according to role and the work they have to do. This role involves occasional travel. You must be eligible to live and work in the UK. We will review applications as they arrive and this role will therefore close upon receipt of applications reaching our limit or making a successful offer to a candidate. Please note that successful applicants will be asked to complete a basic DBS check as part of their onboarding process. These checks are processed by the Disclosure and Barring Service (DBS) and will be paid for by Mayden. The need for DBS screening follows requirements from our customers and NHS England. STRICTLY NO AGENCIES If this role isn't for you, but you like the sound of working at Mayden, please keep checking our website for some more exciting opportunities coming soon. About Us Mayden is a growing software company, awarded the 2024 EntreConf Employer and Health and Wellbeing awards and previous Development Team of the Year at the UK IT industry awards. We love that the work we do makes a difference in healthcare, changing what's possible for clinicians and patients. Mayden has a flat management structure and a coaching culture, with team members working together and supporting one another to make things happen. Accessibility best practices and standards are important to us and our customers, you don't have to have experience in all of these, just a willingness to learn.
Mar 18, 2026
Full time
About The Role We're looking for an experienced and motivated individual to join our growing data science and analytics team as we seek to expand our data science offering for clients of our market leading software, iaptus. The ideal candidate will be passionate about interpreting and analysing data, providing actionable insights, and have a flair for data visualisation and 'story-telling' with data. Mayden is passionate about delivering impactful healthcare software that changes what's possible for clinicians and patients. Come and be part of a team that thrives on working collaboratively to deliver the best possible solutions for our customers. We are an agile, self managing organisation. Driven by our values of collaboration, contribution, forwarding thinking and transparency. Our team members work together to share the responsibilities of managing the work and achieving our purpose - transforming health and care together. Key responsibilities Work in an agile environment in a growing team Play an active role in shaping the future direction of analytics and data science at Mayden Be responsible for developing and maintaining statistical models and machine learning algorithms and applying these to large healthcare data sets Work with clients and others within Mayden to develop valuable insights in response to real needs and issues facing NHS trusts. Drive cutting edge research and contribute to developing commercially deployable products and bespoke analyses Work within a collaborative team who actively share learning with each other and the wider company Contribute to generating data science reports for healthcare professionals, using data visualisation and statistical analysis to tell stories to a variety of audiences which lead to actionable change Skills and experience A Master's degree in data science or other relevant field or equivalent experience A deep understanding of data analysis, statistical methods, machine learning and applying these concepts to large data sets Experience with coding and the use of statistical computing software, for example in R or Python Knowledge of Git or other source control software The following would be advantageous: Exposure to agile methodologies, preferably scrum Experience with AWS technologies, namely S3, ECR, SageMaker, API Gateway, Redshift and Bedrock Experience in analysing healthcare sector data, and an awareness of the sensitivities around data and research in this field Exposure to working with clients and customers, validating project and product specifications to meet the needs of a wide range of stakeholders Experience with developing intuitive and accessible data visualisations, including use of platforms such as Tableau or Power BI Experience with SQL About you You are a team player: You're adaptable and able to work with and facilitate continuous improvement with excellent communication skills You are data-driven: You have an analytical mind with the ability to learn fast and you enjoy solving mathematical or logical problems. You are conscientious and detail oriented: You have a strong attention to detail and excellent prioritisation and self organisation skills whilst recognising the balance between perfection and progress. You are self driven: You can take the initiative in a flat structure company and are able to seek and understand the work to be done for the benefit of our customer. How to apply Please do upload the following on to the portal when you are applying: A covering letter describing your interest in the role, what you are passionate about and what you think you would bring to the team and to Mayden. (We do read these and enjoy hearing about you and your interests). Your CV (all those amazing things you achieved and done) A copy of your passport and if required your share code and date of birth. We need to have evidence that you are eligible to work in the UK. Please note: Applications will not be put forward if the above are missing. This role is not eligible for sponsorship by Mayden for a skilled worker visa. We are therefore unable to accept applications from individuals who would require an employer to sponsor them for a work permit. Benefits life assurance private health insurance pension (enhanced after successful completion of probation) personal training and conference budget onsite gym parking, including EV charging points 25 days annual leave plus bank holidays (with the option to buy or sell annual leave after probation is completed). Hours and Location Full and part time workers will be considered. This role is based in our Bath office and you must be located (or be able to relocate) to within a reasonable commuting distance. Collaboration is one of our four company values - we work best together. We believe there is significant benefit from working face to face when doing so. At the same time, some work may be carried out just as effectively alone and away from the office. We have therefore created a flexible 'place of work' policy that asks everyone to be where the work of the day is best completed and overall spend enough time in the office with others to maintain relationships and communication. This means there are no fixed days, or number of days, when you should be in the office or can work at home. In any given week you may need to work from the office every day or no days! It all depends on the work being done and you are expected to be flexible. Many people find this approach means they work in the office 3 or more days a week but this varies according to role and the work they have to do. This role involves occasional travel. You must be eligible to live and work in the UK. We will review applications as they arrive and this role will therefore close upon receipt of applications reaching our limit or making a successful offer to a candidate. Please note that successful applicants will be asked to complete a basic DBS check as part of their onboarding process. These checks are processed by the Disclosure and Barring Service (DBS) and will be paid for by Mayden. The need for DBS screening follows requirements from our customers and NHS England. STRICTLY NO AGENCIES If this role isn't for you, but you like the sound of working at Mayden, please keep checking our website for some more exciting opportunities coming soon. About Us Mayden is a growing software company, awarded the 2024 EntreConf Employer and Health and Wellbeing awards and previous Development Team of the Year at the UK IT industry awards. We love that the work we do makes a difference in healthcare, changing what's possible for clinicians and patients. Mayden has a flat management structure and a coaching culture, with team members working together and supporting one another to make things happen. Accessibility best practices and standards are important to us and our customers, you don't have to have experience in all of these, just a willingness to learn.
A leading financial institution in Greater London seeks an Associate Applied AI & ML Scientist to design and implement advanced AI/ML solutions in Market Operations. The role demands strong data science skills and collaboration with various stakeholders. Ideal candidates will have a background in data science, machine learning, and relevant programming experience. This position offers a chance to drive innovation in the financial sector.
Mar 18, 2026
Full time
A leading financial institution in Greater London seeks an Associate Applied AI & ML Scientist to design and implement advanced AI/ML solutions in Market Operations. The role demands strong data science skills and collaboration with various stakeholders. Ideal candidates will have a background in data science, machine learning, and relevant programming experience. This position offers a chance to drive innovation in the financial sector.
Our client, a prominent entity in the Defence & Security sector, is seeking a meticulous Data Scientist with a strong understanding of Linux, Data Science, and AWS to join their team. This is a contract position located in London for a duration of 12 months, requiring a UKIC DV clearance to undertake sensitive and impactful work. Key Responsibilities: Develop and deploy data science solutions to support national security missions. Build and optimise data pipelines for processing large, complex datasets. Apply machine learning and statistical techniques to extract actionable insights. Create clear visualisations to communicate findings to stakeholders. Collaborate in agile teams to deliver robust, scalable solutions. Support cloud-based deployments and integration into operational environments. Job Requirements: Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation. Knowledge of machine learning models and statistical techniques, including validation. Understanding of data analytics and data visualisation techniques. Ability to process large datasets via batch or stream processing using Apache Spark or similar tools. Exposure to techniques used for acquiring and fusing data. Experience with cloud platforms (preferably AWS) or implementing cloud-based data science solutions. Knowledge of, or willingness to learn, DataOps. Experience with structured or unstructured databases. Experience with container technologies, including Docker and Kubernetes. Familiarity with agile ways of working. Understanding of software best practices including version control, CI/CD pipelines for automated testing, and deployment. Proficiency in Linux. BPSS & Current UKIC DV clearance. Additional Details: Location: 5 days per week onsite - London Duration: 12 months If you are a dedicated Data Scientist with the necessary clearances and skills, and are eager to contribute to mission-critical projects in the realm of national security, we want to hear from you. Apply now to take the next step in your career with our client.
Mar 17, 2026
Contractor
Our client, a prominent entity in the Defence & Security sector, is seeking a meticulous Data Scientist with a strong understanding of Linux, Data Science, and AWS to join their team. This is a contract position located in London for a duration of 12 months, requiring a UKIC DV clearance to undertake sensitive and impactful work. Key Responsibilities: Develop and deploy data science solutions to support national security missions. Build and optimise data pipelines for processing large, complex datasets. Apply machine learning and statistical techniques to extract actionable insights. Create clear visualisations to communicate findings to stakeholders. Collaborate in agile teams to deliver robust, scalable solutions. Support cloud-based deployments and integration into operational environments. Job Requirements: Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation. Knowledge of machine learning models and statistical techniques, including validation. Understanding of data analytics and data visualisation techniques. Ability to process large datasets via batch or stream processing using Apache Spark or similar tools. Exposure to techniques used for acquiring and fusing data. Experience with cloud platforms (preferably AWS) or implementing cloud-based data science solutions. Knowledge of, or willingness to learn, DataOps. Experience with structured or unstructured databases. Experience with container technologies, including Docker and Kubernetes. Familiarity with agile ways of working. Understanding of software best practices including version control, CI/CD pipelines for automated testing, and deployment. Proficiency in Linux. BPSS & Current UKIC DV clearance. Additional Details: Location: 5 days per week onsite - London Duration: 12 months If you are a dedicated Data Scientist with the necessary clearances and skills, and are eager to contribute to mission-critical projects in the realm of national security, we want to hear from you. Apply now to take the next step in your career with our client.
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.
Select how often (in days) to receive an alert: Job Title Location Thames Refinery, UK Reports To R&T Director COMPANY DESCRIPTION ASR Group is the world's largest refiner and marketer of cane sugar, with an annual production capacity of more than 6 million tons of sugar. The company produces a full line of grocery, industrial, food service and specialty sweetener products. Across North America, ASR Group owns and operates six sugar refineries, located in Louisiana, New York, California, Maryland, Canada and Mexico. In Europe, the company owns and operates sugar refineries in England and Portugal. ASR Group also owns and operates mills in Mexico and Belize. The company's brand portfolio includes the leading brands Domino , C&H , Redpath , Tate & Lyle , Lyle's and Sidul . OVERVIEW Reporting to the Research & Technology Director, the Senior Research Scientist is responsible for leading and coordinating product development projects across Europe, with occasional involvement in global initiatives. Working within the Global Research and Technology department and European cross-functional teams, this role ensures technical excellence, compliance, and timely delivery of new and existing products. DETAILED ROLES & RESPONSIBILITIES Product Development & Project Management Lead, design, and execute technical aspects of product development, reformulation, and optimisation strategies from concept through launch and post-launch governance. Provide technical leadership in ingredient qualification, formulation development, and production of bench-top or full-scale samples aligned with customer and marketing briefs. Apply stage/gate project management principles to deliver multiple work streams on time and within budget. Develop product formulations and laboratory samples based on consumer insights, ensuring compliance with manufacturing, regulatory, and cost objectives. Design and conduct sensory evaluations and consumer testing (qualitative and quantitative), analyse data, and provide actionable recommendations. Prepare and submit ingredient specifications, formulation briefs, and finished product documentation; develop process control documents in collaboration with quality and operations teams. Scale-Up Trials & Manufacturing Problem Solving Lead scale-up trials across European sites, including co-packers, by defining objectives, developing Design of Experiments plans, capturing critical data, and aligning cross-functional teams to optimise product performance. Direct full-scale production trials to validate process robustness, confirm commercialisation strategies, and ensure seamless transfer from development to manufacturing. Troubleshoot manufacturing, pilot plant, and laboratory processes using data-driven approaches and continuous improvement methodologies to resolve technical challenges. Team and Laboratory Management Manage and mentor a team of one, Research Scientist, by providing guidance, setting priorities, and fostering collaboration to achieve departmental objectives. Oversee routine laboratory operations, including formulation development, analytical testing, equipment reliability, consumables management, and budget planning. Ensure a safe, GMP-compliant laboratory environment and adherence to health and safety standards. Manage qualification and tracking of real-time and accelerated shelf-life assessments for all new, optimised, or reformulated products. Deliver technical training for internal teams and customers on new products, consumer needs, and technology implementation. Cross-Functional Collaboration Contribute to projects involving manufacturing operations, packaging innovation, regulatory, legal, quality, supply chain, and procurement. Partner with Marketing, Sales, Procurement, Finance, and Operations to identify opportunities for competitive advantage and support new product development initiatives. Lead customer engagement sessions, supporting Marketing and Sales with development briefs and product sample showcases. WORK EXPERIENCE Required Experienced in a similar role within the Food or FMCG industry Strong technical expertise in formulation science and manufacturing processes, from bench-top through scale-up and full-scale production. Proficiency in project management methodologies, including stage/gate processes, to deliver multiple work streams on time and within budget. Demonstrated ability to plan, manage, and execute pilot and manufacturing trials in compliance with Good Manufacturing Practice protocols, ensuring accurate sample assessments against agreed specifications. Extensive knowledge of Design of Experiments, sensory evaluation tools, shelf-life studies, and analytical and physical testing methodologies. Proven people management and leadership skills, with experience mentoring teams and fostering collaboration to achieve departmental objectives. EDUCATION & CERTIFICATION Minimum B.Sc. in Foods, Nutrition, Chemistry, Agriculture, or a related Science/Technology/Engineering field. Advanced degree (M.Sc. or Ph.D.) in a relevant discipline is highly desirable. At Tate & Lyle Sugars, our goal is to be the most admired sweetener Company. Service Excellence -Be the industry's Gold Standard by a relentless focus on reliability, providing products with superior quality and excellent customer services.Efficiency and Sustainability -Eliminate inefficiency to be a sustainable, low cost producer and to generate fuel for reinvestment.Value-Add -create strategic advantage and enhanced profitability through value-added products and services. The foundation of our values isTalent and Cultureas we aim to build, retain and motivate a winning team.
Mar 17, 2026
Full time
Select how often (in days) to receive an alert: Job Title Location Thames Refinery, UK Reports To R&T Director COMPANY DESCRIPTION ASR Group is the world's largest refiner and marketer of cane sugar, with an annual production capacity of more than 6 million tons of sugar. The company produces a full line of grocery, industrial, food service and specialty sweetener products. Across North America, ASR Group owns and operates six sugar refineries, located in Louisiana, New York, California, Maryland, Canada and Mexico. In Europe, the company owns and operates sugar refineries in England and Portugal. ASR Group also owns and operates mills in Mexico and Belize. The company's brand portfolio includes the leading brands Domino , C&H , Redpath , Tate & Lyle , Lyle's and Sidul . OVERVIEW Reporting to the Research & Technology Director, the Senior Research Scientist is responsible for leading and coordinating product development projects across Europe, with occasional involvement in global initiatives. Working within the Global Research and Technology department and European cross-functional teams, this role ensures technical excellence, compliance, and timely delivery of new and existing products. DETAILED ROLES & RESPONSIBILITIES Product Development & Project Management Lead, design, and execute technical aspects of product development, reformulation, and optimisation strategies from concept through launch and post-launch governance. Provide technical leadership in ingredient qualification, formulation development, and production of bench-top or full-scale samples aligned with customer and marketing briefs. Apply stage/gate project management principles to deliver multiple work streams on time and within budget. Develop product formulations and laboratory samples based on consumer insights, ensuring compliance with manufacturing, regulatory, and cost objectives. Design and conduct sensory evaluations and consumer testing (qualitative and quantitative), analyse data, and provide actionable recommendations. Prepare and submit ingredient specifications, formulation briefs, and finished product documentation; develop process control documents in collaboration with quality and operations teams. Scale-Up Trials & Manufacturing Problem Solving Lead scale-up trials across European sites, including co-packers, by defining objectives, developing Design of Experiments plans, capturing critical data, and aligning cross-functional teams to optimise product performance. Direct full-scale production trials to validate process robustness, confirm commercialisation strategies, and ensure seamless transfer from development to manufacturing. Troubleshoot manufacturing, pilot plant, and laboratory processes using data-driven approaches and continuous improvement methodologies to resolve technical challenges. Team and Laboratory Management Manage and mentor a team of one, Research Scientist, by providing guidance, setting priorities, and fostering collaboration to achieve departmental objectives. Oversee routine laboratory operations, including formulation development, analytical testing, equipment reliability, consumables management, and budget planning. Ensure a safe, GMP-compliant laboratory environment and adherence to health and safety standards. Manage qualification and tracking of real-time and accelerated shelf-life assessments for all new, optimised, or reformulated products. Deliver technical training for internal teams and customers on new products, consumer needs, and technology implementation. Cross-Functional Collaboration Contribute to projects involving manufacturing operations, packaging innovation, regulatory, legal, quality, supply chain, and procurement. Partner with Marketing, Sales, Procurement, Finance, and Operations to identify opportunities for competitive advantage and support new product development initiatives. Lead customer engagement sessions, supporting Marketing and Sales with development briefs and product sample showcases. WORK EXPERIENCE Required Experienced in a similar role within the Food or FMCG industry Strong technical expertise in formulation science and manufacturing processes, from bench-top through scale-up and full-scale production. Proficiency in project management methodologies, including stage/gate processes, to deliver multiple work streams on time and within budget. Demonstrated ability to plan, manage, and execute pilot and manufacturing trials in compliance with Good Manufacturing Practice protocols, ensuring accurate sample assessments against agreed specifications. Extensive knowledge of Design of Experiments, sensory evaluation tools, shelf-life studies, and analytical and physical testing methodologies. Proven people management and leadership skills, with experience mentoring teams and fostering collaboration to achieve departmental objectives. EDUCATION & CERTIFICATION Minimum B.Sc. in Foods, Nutrition, Chemistry, Agriculture, or a related Science/Technology/Engineering field. Advanced degree (M.Sc. or Ph.D.) in a relevant discipline is highly desirable. At Tate & Lyle Sugars, our goal is to be the most admired sweetener Company. Service Excellence -Be the industry's Gold Standard by a relentless focus on reliability, providing products with superior quality and excellent customer services.Efficiency and Sustainability -Eliminate inefficiency to be a sustainable, low cost producer and to generate fuel for reinvestment.Value-Add -create strategic advantage and enhanced profitability through value-added products and services. The foundation of our values isTalent and Cultureas we aim to build, retain and motivate a winning team.
Lead Underwriter - PCR Portfolio Solutions - Scor Business Solutions (SBS) London, United Kingdom Be the First to Apply Job Description At SCOR Business Solutions, we offer a comprehensive insurance product range to address large corporate and industrial clients' complex and evolving needs worldwide. We can do this thanks to our dedicated local expert teams, with an underwriting DNA based on technical expertise and in-depth industry knowledge. We are large but small working in a global product oriented structure meaning that client-not geography-comes first. We get excited about offering our clients a diversified and innovative range of insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk", SCOR uses its industry recognized expertise and cutting edge financial solutions to serve its clients and contribute to the welfare and resilience of society. The Group generated premiums of EUR 19.4 billion in 2023 and serves clients in around 160 countries from its 35 offices worldwide. In this role you will Shape and drive SCOR's global PCR strategy , steering business planning, target setting, and portfolio optimisation across all regions. Provide high level underwriting leadership , ensuring rigorous discipline, consistency, and challenge across international teams. Serve as a senior ambassador for SCOR , engaging confidently with top tier market stakeholders, regulators, industry bodies, and major clients/brokers. Act as the go to escalation point for complex underwriting referrals and sophisticated international program structures. Lead the evolution of global underwriting initiatives , strengthening programmatic and delegated underwriting frameworks. Responsibilities Leadership & Team Development Provide day to day functional leadership to underwriters in London and internationally, ensuring consistency of underwriting standards across regions. Mentor and coach junior and mid level underwriters; contribute to training plans, capability uplift, and continuous improvement initiatives. Influence global underwriting culture by promoting strong technical standards, discipline, collaboration, and knowledge sharing. Support recruitment and development of underwriting staff when required. Lead the underwriting of complex, high value risks, including bespoke structures, multi market programs, and special acceptances. Approve (or recommend for approval) large and complex cases as delegated by the GLH. Ensure all underwriting decisions comply with SCOR's policies, guidelines, and regulatory requirements. Negotiate terms, pricing, and complex policy wordings; act as SCOR's senior representative in key negotiations. Support development and implementation of underwriting frameworks and risk appetite statements. Oversee portfolio risk metrics globally, identifying concentration, accumulation, emerging trends, and areas requiring strategic intervention. Shape portfolio strategy, working with the GLH and portfolio analysts to optimize risk adjusted returns. Contribute to development of international business plans and market growth strategies (Europe, US, APAC). Lead portfolio reviews, thematic deep dives, and strategy papers for senior management. Ensure consistent implementation of underwriting policies across regions. Market, Client & Broker Engagement Maintain and grow relationships with senior brokers, reinsurers, and multinational clients. Represent SCOR at international industry events, acting as a senior spokesperson for the PCR line. Identify new markets, product opportunities, and partnership models in support of global expansion strategies. Support origination and pipeline development for key strategic accounts. Reporting & Global Coordination Prepare high level reports, insights, and portfolio analyses for the GLH, Executive Management, and group functions. Coordinate with regional hubs (Paris, US, Singapore) to share insights and promote alignment. Work with the Head of Credit Risk Analysis to develop improved reporting tools and decision making dashboards. Ensure SCOR meets international licensing requirements and internal audit expectations. Work with PCR head of credit risk analysis to design reporting procedures. Maintain and develop relationships with clients and brokers; travel as and when required to do so. Attend market, broker and client hosted events. Provide guidance and oversight to junior underwriters and the portfolio analyst. Initially, this role does not have reporting responsibilities, but these may emerge over time. Qualifications We are ideally looking to speak with candidates who have the following experience and skills: Experience Extensive experience in credit underwriting, portfolio management, or related roles. Demonstrable expertise in portfolio management, complex risk structuring, and international business. Deep understanding of credit risk, financial analysis, and counterparty assessment. Experience with complex credit structures, syndicated lending, or derivatives (as applicable). Proven underwriting skills including wording negotiation. Experience providing leadership/mentoring to underwriting teams. Strong market presence with established broker and client relationships. Experience of writing international business. Proven ability to shape underwriting strategy and drive portfolio profitability. Experience working across multiple jurisdictions (Europe, US, APAC). Previous involvement in regulatory discussions or industry committees. Experience presenting to reinsurers and senior external stakeholders. Senior underwriting authority with advanced technical capability. Strong leadership, influencing, and cross cultural collaboration skills. Strategic thinker with strong commercial acumen. Educated to A Level, or equivalent qualifications. Relevant university degree, or equivalence. ACII Qualified. Actuarial background or CFA Qualified. Why Join SCOR Business Solutions SBS offers the opportunity to take a key leadership role within a global specialty underwriting business, working with a highly respected team, diverse international stakeholders, and a portfolio with significant strategic importance. This is an influential position with the ability to shape portfolio direction, underwriting standards, and global strategy. Locations Level 6, London, United Kingdom, EC2N 4BQ, GB About Us As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry recognized expertise and cutting edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide. Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies. As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration. SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
Mar 17, 2026
Full time
Lead Underwriter - PCR Portfolio Solutions - Scor Business Solutions (SBS) London, United Kingdom Be the First to Apply Job Description At SCOR Business Solutions, we offer a comprehensive insurance product range to address large corporate and industrial clients' complex and evolving needs worldwide. We can do this thanks to our dedicated local expert teams, with an underwriting DNA based on technical expertise and in-depth industry knowledge. We are large but small working in a global product oriented structure meaning that client-not geography-comes first. We get excited about offering our clients a diversified and innovative range of insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk", SCOR uses its industry recognized expertise and cutting edge financial solutions to serve its clients and contribute to the welfare and resilience of society. The Group generated premiums of EUR 19.4 billion in 2023 and serves clients in around 160 countries from its 35 offices worldwide. In this role you will Shape and drive SCOR's global PCR strategy , steering business planning, target setting, and portfolio optimisation across all regions. Provide high level underwriting leadership , ensuring rigorous discipline, consistency, and challenge across international teams. Serve as a senior ambassador for SCOR , engaging confidently with top tier market stakeholders, regulators, industry bodies, and major clients/brokers. Act as the go to escalation point for complex underwriting referrals and sophisticated international program structures. Lead the evolution of global underwriting initiatives , strengthening programmatic and delegated underwriting frameworks. Responsibilities Leadership & Team Development Provide day to day functional leadership to underwriters in London and internationally, ensuring consistency of underwriting standards across regions. Mentor and coach junior and mid level underwriters; contribute to training plans, capability uplift, and continuous improvement initiatives. Influence global underwriting culture by promoting strong technical standards, discipline, collaboration, and knowledge sharing. Support recruitment and development of underwriting staff when required. Lead the underwriting of complex, high value risks, including bespoke structures, multi market programs, and special acceptances. Approve (or recommend for approval) large and complex cases as delegated by the GLH. Ensure all underwriting decisions comply with SCOR's policies, guidelines, and regulatory requirements. Negotiate terms, pricing, and complex policy wordings; act as SCOR's senior representative in key negotiations. Support development and implementation of underwriting frameworks and risk appetite statements. Oversee portfolio risk metrics globally, identifying concentration, accumulation, emerging trends, and areas requiring strategic intervention. Shape portfolio strategy, working with the GLH and portfolio analysts to optimize risk adjusted returns. Contribute to development of international business plans and market growth strategies (Europe, US, APAC). Lead portfolio reviews, thematic deep dives, and strategy papers for senior management. Ensure consistent implementation of underwriting policies across regions. Market, Client & Broker Engagement Maintain and grow relationships with senior brokers, reinsurers, and multinational clients. Represent SCOR at international industry events, acting as a senior spokesperson for the PCR line. Identify new markets, product opportunities, and partnership models in support of global expansion strategies. Support origination and pipeline development for key strategic accounts. Reporting & Global Coordination Prepare high level reports, insights, and portfolio analyses for the GLH, Executive Management, and group functions. Coordinate with regional hubs (Paris, US, Singapore) to share insights and promote alignment. Work with the Head of Credit Risk Analysis to develop improved reporting tools and decision making dashboards. Ensure SCOR meets international licensing requirements and internal audit expectations. Work with PCR head of credit risk analysis to design reporting procedures. Maintain and develop relationships with clients and brokers; travel as and when required to do so. Attend market, broker and client hosted events. Provide guidance and oversight to junior underwriters and the portfolio analyst. Initially, this role does not have reporting responsibilities, but these may emerge over time. Qualifications We are ideally looking to speak with candidates who have the following experience and skills: Experience Extensive experience in credit underwriting, portfolio management, or related roles. Demonstrable expertise in portfolio management, complex risk structuring, and international business. Deep understanding of credit risk, financial analysis, and counterparty assessment. Experience with complex credit structures, syndicated lending, or derivatives (as applicable). Proven underwriting skills including wording negotiation. Experience providing leadership/mentoring to underwriting teams. Strong market presence with established broker and client relationships. Experience of writing international business. Proven ability to shape underwriting strategy and drive portfolio profitability. Experience working across multiple jurisdictions (Europe, US, APAC). Previous involvement in regulatory discussions or industry committees. Experience presenting to reinsurers and senior external stakeholders. Senior underwriting authority with advanced technical capability. Strong leadership, influencing, and cross cultural collaboration skills. Strategic thinker with strong commercial acumen. Educated to A Level, or equivalent qualifications. Relevant university degree, or equivalence. ACII Qualified. Actuarial background or CFA Qualified. Why Join SCOR Business Solutions SBS offers the opportunity to take a key leadership role within a global specialty underwriting business, working with a highly respected team, diverse international stakeholders, and a portfolio with significant strategic importance. This is an influential position with the ability to shape portfolio direction, underwriting standards, and global strategy. Locations Level 6, London, United Kingdom, EC2N 4BQ, GB About Us As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry recognized expertise and cutting edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide. Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies. As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration. SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
PLEASE MENTION GREENJOBS WHEN RESPONDING TO THIS CAREER OPPORTUNITY Job Title: Water Quality Network Scientist Location: Walsall/Cambridge, England, United Kingdom Salary: £30,000 Make a real impact on public health and water quality. As a Water Quality Network Scientist, you ll analyse network performance, spot emerging risks, and help keep our customers water safe and reliable. You ll work across teams, support investigations, contribute to Drinking Water Safety Plans, and play a key role in maintaining regulatory compliance. If you re looking for a meaningful scientific role with variety, responsibility, and the chance to shape real-world outcomes, this is an opportunity to grow your expertise and make a difference every day. About Us At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that s where you come in. The Role The Water Quality Network Scientist is responsible for ensuring that water quality risks within the distribution network are identified, assessed, and effectively managed. You will analyse performance data, carry out investigations, complete audits, and provide clear reporting to internal and external stakeholders. The role requires close working relationships with operational teams, capital delivery, asset management, and regulatory bodies to maintain compliance and drive improvements. Key Responsibilities Analyse distribution network and operational data to identify water quality issues and performance trends. Provide timely advice to operational teams and track the effectiveness of corrective actions. Complete regulatory investigations and produce high quality reports for water quality standard breaches or areas of concern. Conduct scheduled audits of distribution networks, storage sites, and contractor activities. Produce monthly audit reports and ensure actions are completed by responsible teams. Support compliance with internal standards and regulatory expectations. Maintain and update risk assessments for storage and distribution assets. Work with the DWSP and Capital Delivery teams to ensure risks are accurately reflected in Drinking Water Safety Plans and investment planning. Ensure risk changes are documented and communicated effectively. Represent the water quality function in cross departmental meetings and operational forums. Deliver targeted training and guidance to strengthen water quality awareness across teams. Build strong working relationships with internal stakeholders and external bodies such as DWI, NAVs, and UKHSA. Participate in the out of hours standby rota, providing expert advice during incidents and supporting operational response. Demonstrate South Staffs Water values: Equality, Diversity and Inclusion, Excellence in Service, Responsibility, Trust, and Respect. Ensure adherence to compliance standards and operate with integrity at all times. What You ll Need Competencies / Experience / Knowledge Experience within the water industry, ideally in water quality, operations, or compliance. Strong analytical skills with the ability to interpret data and identify performance issues. Experience conducting risk assessments and supporting DWSP processes. Practical experience carrying out audits and ensuring follow up actions are completed. Exposure to regulatory reporting or incident investigation. Comfortable working with operational field teams and cross functional colleagues. Education / Qualifications Essential Graduate/HND level qualification in a relevant scientific discipline. Strong PC literacy and ability to use data systems effectively. Excellent communication skills across all levels. Knowledge of risk assessment processes. Full valid driving licence. Desirable Previous experience in the water industry. Ability to conduct site audits. Knowledge of water industry and water quality regulations. Understanding of water fitting regulations. What You ll Get in Return: A competitive salary plus benefits. 25 days holiday + bank holidays. Company pension with employer contributions. 24-hour helpline providing free and confidential advice to you and your family on financial, legal, marital, and health matters. Eyecare vouchers via Specsavers. Employee Assistance Programme (EAP). 24/7 remote GP access. TO APPLY PLEASE CLICK THE "APPLY NOW" BUTTON AND YOU WILL BE REDIRECTED TO BEGIN THE APPLICATION PROCES
Mar 17, 2026
Full time
PLEASE MENTION GREENJOBS WHEN RESPONDING TO THIS CAREER OPPORTUNITY Job Title: Water Quality Network Scientist Location: Walsall/Cambridge, England, United Kingdom Salary: £30,000 Make a real impact on public health and water quality. As a Water Quality Network Scientist, you ll analyse network performance, spot emerging risks, and help keep our customers water safe and reliable. You ll work across teams, support investigations, contribute to Drinking Water Safety Plans, and play a key role in maintaining regulatory compliance. If you re looking for a meaningful scientific role with variety, responsibility, and the chance to shape real-world outcomes, this is an opportunity to grow your expertise and make a difference every day. About Us At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that s where you come in. The Role The Water Quality Network Scientist is responsible for ensuring that water quality risks within the distribution network are identified, assessed, and effectively managed. You will analyse performance data, carry out investigations, complete audits, and provide clear reporting to internal and external stakeholders. The role requires close working relationships with operational teams, capital delivery, asset management, and regulatory bodies to maintain compliance and drive improvements. Key Responsibilities Analyse distribution network and operational data to identify water quality issues and performance trends. Provide timely advice to operational teams and track the effectiveness of corrective actions. Complete regulatory investigations and produce high quality reports for water quality standard breaches or areas of concern. Conduct scheduled audits of distribution networks, storage sites, and contractor activities. Produce monthly audit reports and ensure actions are completed by responsible teams. Support compliance with internal standards and regulatory expectations. Maintain and update risk assessments for storage and distribution assets. Work with the DWSP and Capital Delivery teams to ensure risks are accurately reflected in Drinking Water Safety Plans and investment planning. Ensure risk changes are documented and communicated effectively. Represent the water quality function in cross departmental meetings and operational forums. Deliver targeted training and guidance to strengthen water quality awareness across teams. Build strong working relationships with internal stakeholders and external bodies such as DWI, NAVs, and UKHSA. Participate in the out of hours standby rota, providing expert advice during incidents and supporting operational response. Demonstrate South Staffs Water values: Equality, Diversity and Inclusion, Excellence in Service, Responsibility, Trust, and Respect. Ensure adherence to compliance standards and operate with integrity at all times. What You ll Need Competencies / Experience / Knowledge Experience within the water industry, ideally in water quality, operations, or compliance. Strong analytical skills with the ability to interpret data and identify performance issues. Experience conducting risk assessments and supporting DWSP processes. Practical experience carrying out audits and ensuring follow up actions are completed. Exposure to regulatory reporting or incident investigation. Comfortable working with operational field teams and cross functional colleagues. Education / Qualifications Essential Graduate/HND level qualification in a relevant scientific discipline. Strong PC literacy and ability to use data systems effectively. Excellent communication skills across all levels. Knowledge of risk assessment processes. Full valid driving licence. Desirable Previous experience in the water industry. Ability to conduct site audits. Knowledge of water industry and water quality regulations. Understanding of water fitting regulations. What You ll Get in Return: A competitive salary plus benefits. 25 days holiday + bank holidays. Company pension with employer contributions. 24-hour helpline providing free and confidential advice to you and your family on financial, legal, marital, and health matters. Eyecare vouchers via Specsavers. Employee Assistance Programme (EAP). 24/7 remote GP access. TO APPLY PLEASE CLICK THE "APPLY NOW" BUTTON AND YOU WILL BE REDIRECTED TO BEGIN THE APPLICATION PROCES
