Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
09/06/2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
09/06/2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
09/06/2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
09/06/2026
Full time
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they re scaling globally and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.
Gameplay Programmer, Games, Inception, DeepMind DeepMind London, UK Qualifications Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience. Experience leading technical strategy across multi-disciplinary teams (e.g., Research, Product, Design) to align engineering roadmaps with non-technical business goals. Experience in a technical leadership role (Lead or Staff) through the full software development Life Cycle (SDLC) for one or more shipped AAA title or large-scale interactive product. Experience in game tech research and development, including AI/ML, procedural generation, and advanced engine optimization. Experience in architecting 0-to-1 systems. Preferred qualifications Experience training ML models or integrating generative AI into consumer-facing products. Experience contributing to open-source projects or leading innovative technical experiments. Knowledge of modern game engines (Unreal, Unity, Godot) or proprietary internal frameworks. Familiarity with Google's internal infrastructure (google3) and development workflows. About the job Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable portfolio of early stage, design focused projects, building on working processes developed internally on projects such as Astra and Genie. As a Gameplay Engineer and Prototyper in Inception, you will build interactive experiences, blurring the lines between game development and AI research. Your mission is to move beyond traditional game engineering to prove what is possible when generative models and agentic workflows become core mechanics. You will be a key bridge between research and design, moving fast to stand up 0-to-1 prototypes, crafting expert pipelines when necessary, and finding novel technical solutions to creative problems. You will work in a cross functional environment where every project involves significant experimentation, rapid iteration, and close collaboration. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Design and rapidly implement the technical foundations for gameplay prototypes that utilize agentic workflows and generative models as core mechanics. Build internal tools, scaffolding, and workflows that empower designers and researchers to easily experiment with complex AI pipelines. Lead the integration of small and large scale streaming models into game environments, creatively hiding latency and consistency issues inherent to probabilistic models. Partner closely with designers and research scientists to solve "unsolvable" technical bottlenecks in early stage, design focused projects. Build compliant pipelines for data managing and model testing where stability matters, while maintaining the speed and flexibility required for rapid game prototyping. Equal Opportunity Statement Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
09/06/2026
Full time
Gameplay Programmer, Games, Inception, DeepMind DeepMind London, UK Qualifications Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience. Experience leading technical strategy across multi-disciplinary teams (e.g., Research, Product, Design) to align engineering roadmaps with non-technical business goals. Experience in a technical leadership role (Lead or Staff) through the full software development Life Cycle (SDLC) for one or more shipped AAA title or large-scale interactive product. Experience in game tech research and development, including AI/ML, procedural generation, and advanced engine optimization. Experience in architecting 0-to-1 systems. Preferred qualifications Experience training ML models or integrating generative AI into consumer-facing products. Experience contributing to open-source projects or leading innovative technical experiments. Knowledge of modern game engines (Unreal, Unity, Godot) or proprietary internal frameworks. Familiarity with Google's internal infrastructure (google3) and development workflows. About the job Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable portfolio of early stage, design focused projects, building on working processes developed internally on projects such as Astra and Genie. As a Gameplay Engineer and Prototyper in Inception, you will build interactive experiences, blurring the lines between game development and AI research. Your mission is to move beyond traditional game engineering to prove what is possible when generative models and agentic workflows become core mechanics. You will be a key bridge between research and design, moving fast to stand up 0-to-1 prototypes, crafting expert pipelines when necessary, and finding novel technical solutions to creative problems. You will work in a cross functional environment where every project involves significant experimentation, rapid iteration, and close collaboration. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Design and rapidly implement the technical foundations for gameplay prototypes that utilize agentic workflows and generative models as core mechanics. Build internal tools, scaffolding, and workflows that empower designers and researchers to easily experiment with complex AI pipelines. Lead the integration of small and large scale streaming models into game environments, creatively hiding latency and consistency issues inherent to probabilistic models. Partner closely with designers and research scientists to solve "unsolvable" technical bottlenecks in early stage, design focused projects. Build compliant pipelines for data managing and model testing where stability matters, while maintaining the speed and flexibility required for rapid game prototyping. Equal Opportunity Statement Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Newcastle, United Kingdom Posted on 07/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high quality, scalable solutions that truly matter. Overview: We are seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data driven decision making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance standards, advising senior stakeholders, and working across multidisciplinary teams to deliver impactful digital services at scale. Key Responsibilities: Performance Leadership & Strategic Measurement Lead and embed performance analysis across complex services or delivery areas Design and implement performance measurement frameworks, including KPIs and user focused metrics Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support teams in designing and iterating services with measurable outcomes Work closely with Product Managers, Delivery Managers, User Researchers, Designers, and Data Scientists Provide guidance on measurement strategies and interpretation of results Support decision making in complex and ambiguous environments Capability Building & Leadership Coach and mentor analysts, ensuring quality and consistency in outputs Contribute to and lead communities of practice within performance analytics Define and promote standards, tools, and best practices Required Skills & Experience: Extensive experience in performance analysis for digital services, ideally within large scale or complex environments Strong expertise in designing performance measurement frameworks, KPIs, and user focused metrics Proven ability to generate insights from multiple data sources and provide data driven recommendations Strong stakeholder management and influencing skills, including engagement with senior leadership Excellent communication and data storytelling skills Advanced experience with analytical tools such as: SQL Web analytics platforms (e.g., Google Analytics) Dashboarding tools (e.g., Power BI, Looker Studio) Experience working on public sector or government digital services Experience defining performance strategies across multiple teams or programmes Experience mentoring or leading analyst teams Experience working in hybrid or distributed delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.
09/06/2026
Full time
Newcastle, United Kingdom Posted on 07/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high quality, scalable solutions that truly matter. Overview: We are seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data driven decision making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance standards, advising senior stakeholders, and working across multidisciplinary teams to deliver impactful digital services at scale. Key Responsibilities: Performance Leadership & Strategic Measurement Lead and embed performance analysis across complex services or delivery areas Design and implement performance measurement frameworks, including KPIs and user focused metrics Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support teams in designing and iterating services with measurable outcomes Work closely with Product Managers, Delivery Managers, User Researchers, Designers, and Data Scientists Provide guidance on measurement strategies and interpretation of results Support decision making in complex and ambiguous environments Capability Building & Leadership Coach and mentor analysts, ensuring quality and consistency in outputs Contribute to and lead communities of practice within performance analytics Define and promote standards, tools, and best practices Required Skills & Experience: Extensive experience in performance analysis for digital services, ideally within large scale or complex environments Strong expertise in designing performance measurement frameworks, KPIs, and user focused metrics Proven ability to generate insights from multiple data sources and provide data driven recommendations Strong stakeholder management and influencing skills, including engagement with senior leadership Excellent communication and data storytelling skills Advanced experience with analytical tools such as: SQL Web analytics platforms (e.g., Google Analytics) Dashboarding tools (e.g., Power BI, Looker Studio) Experience working on public sector or government digital services Experience defining performance strategies across multiple teams or programmes Experience mentoring or leading analyst teams Experience working in hybrid or distributed delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.
About Us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields in order to provide a best in class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real world problems. You enjoy working in collaborative, agile teams and take pride in delivering high quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. The Role: We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Key Responsibilities: Develop Data Engineering solutions for our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non relational, or cloud-based. Working collaboratively with the client and cross functional teams to identify and address data related issues and opportunities. Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc Assist with defining the processes needed to achieve operational excellence Ensure data quality across all projects/clients Define and manage SLA's for data sets and processes throughout production Lead on the design, build and launch of new data models and pipelines Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modeling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Flexible Working Annual Away Days/Company Socials Equality & Diversity: Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.
09/06/2026
Full time
About Us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields in order to provide a best in class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real world problems. You enjoy working in collaborative, agile teams and take pride in delivering high quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. The Role: We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Key Responsibilities: Develop Data Engineering solutions for our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non relational, or cloud-based. Working collaboratively with the client and cross functional teams to identify and address data related issues and opportunities. Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc Assist with defining the processes needed to achieve operational excellence Ensure data quality across all projects/clients Define and manage SLA's for data sets and processes throughout production Lead on the design, build and launch of new data models and pipelines Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modeling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Flexible Working Annual Away Days/Company Socials Equality & Diversity: Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.
Levallois-Perret . France Manager Le Poste : Piloter les projets et programmes d'implémentation de solutions d'Intelligence Artificielle et d'automatisation intelligente. En tant qu'AI Project Manager, vous portez la vision technologique au service de la performance. Vous pilotez des programmes complexes d'Intelligence Artificielle et d'automatisation, en garantissant un alignement parfait entre les capacités techniques et les enjeux stratégiques de l'entreprise. Vos Activités Principales Cadrage & Qualification : Recueil des besoins métiers pour identifier les opportunités à forte valeur ajoutée (GenAI, Machine Learning, etc.). Pilotage du Cycle de Vie : Orchestration complète, du prototypage (POC) jusqu'à l'industrialisation (Mise en production et scale). Gestion des Ressources & Budget : Estimation des charges (JH), suivi fin de la consommation des ressources Cloud/Calcul et pilotage budgétaire. Coordination Transverse : Animation et synchronisation des équipes (Data Scientists, Data Engineers, experts métiers) et gestion des fournisseurs (SaaS ou sur-mesure). Gouvernance & Risques : Cartographie des risques spécifiques à l'IA (Éthique, performance, qualité des données) et définition des référentiels de fiabilité. Accompagnement au Changement : Évangélisation des technologies IA et promotion des nouveaux usages auprès des différentes lignes métier. En tant que Consultant(e) ServiceNow basé(e) à Lyon, vous jouerez un rôle clé dans l'accompagnement de nos clients sur des projets de transformation digitale d'envergure. Vos principales missions seront : Accompagner et conseiller nos clients dans la définition et la mise en œuvre de leurs processus d'entreprise et/ou leurs solutions ServiceNow. Contribuer à l'intégration et au déploiement de solutions techniques adaptées aux besoins métiers. Animer des ateliers pour faire émerger une vision commune et détaillée des solutions à implémenter. Réaliser le paramétrage, l'intégration et le développement d'applications sur la plateforme ServiceNow. Participer aux activités d'avant-vente aux côtés de nos ingénieurs d'affaires. Dans le cadre du renforcement de notre entité SAP, Devoteam recherche un Consultant SAP SD OTC Senior pour accompagner ses clients sur des projets stratégiques, notamment autour de SAP S/4HANA et de la transformation digitale des processus Order to Cash. Missions principales Analyse, conception et déploiement des solutions SAP SD en cohérence avec les besoins métiers. Gestion et optimisation des processus Order to Cash (OTC) : gestion des commandes, facturation, livraison, gestion des retours, gestion des crédits, etc. Paramétrage avancé du module SD et intégration avec les autres modules SAP (FI, MM, WM, etc.). Accompagnement des équipes métiers dans la compréhension des solutions et la conduite du changement. Participation aux phases de tests, recette et déploiement. Conseil et recommandations sur l'amélioration continue des processus et sur l'adoption des nouvelles technologies SAP (S/4HANA, SAP BTP). Interface avec les équipes techniques et les équipes projet internationales. Dans le cadre d'un accompagnement cyber global chez l'un de nos clients grands comptes, Devoteam recherche un(e) Consultant Sécurité Senior capable d'intervenir à la fois sur la vision stratégique et sur l'exécution opérationnelle des sujets de cybersécurité. Le poste s'inscrit dans une relation de partenariat long terme, avec un rôle central d'animation, de structuration et d'amélioration continue de la posture cyber du client. Piloter le Vulnerability Management de bout en bout : Scan, qualification, priorisation, remédiation Définition et suivi des SLA Concevoir et déployer de nouveaux processus de gestion des vulnérabilités Améliorer l'industrialisation et l'automatisation des workflows sécurité Travailler en proximité avec les équipes IT, Cloud, DevOps et métiers Innovation & construction de nouveaux sujets Mettre en place et structurer une capacité de Cyber Threat Intelligence (CTI) Faire évoluer les processus en place sur le traitement des vulnérabilités, être capable de construire des approches différentes adaptées au besoin du client Leadership relationnel & influence Jouer un rôle de facilitateur entre sécurité, IT et métier Incarner une posture de partenaire, pas de simple exécutant Présentiel à 100% Dans le cadre de projets de migration réseau d'envergure nationale, nous recherchons des Consultants MER pour renforcer nos équipes déploiement. Ce poste est central dans la transformation de nos infrastructures opérateurs, SD-WAN et LAN. Le Consultant interviendra sur des phases critiques de bascule, en appliquant les runbooks techniques rédigés par notre bureau d'ingénierie, dans des contextes planifiés en heures ouvrées (HO) et hors heures ouvrées (HNO). Missions principales Réaliser les mises en réseau (activation, configuration, tests) conformément aux procédures fournies. Installer, configurer et mettre en service des équipements réseau (routeurs, switches, passerelles SD-WAN, etc.). Appliquer les runbooks de déploiement avec rigueur et précision. Assurer les tests de bon fonctionnement (connectivité, routage, supervision) avant mise en production. Documenter chaque intervention via des rapports normalisés, assurer un reporting clair aux équipes centrales. Identifier et remonter les anomalies techniques aux équipes d'ingénierie. Travailler en coordination avec les équipes opérations pour la passation de la supervision et la mise à jour des informations associées. En tant qu'Ingénieur Sécurité AWS, vous intégrerez nos équipes spécialisées Cloud & Sécurité pour accompagner nos clients grands comptes dans la sécurisation de leurs environnements AWS. Concevoir, mettre en œuvre et maintenir des architectures sécurisées dans AWS. Définir et appliquer les bonnes pratiques de sécurité cloud (IAM, gestion des clés, chiffrement, monitoring, etc.). Déployer et administrer des solutions de sécurité cloud (WAF, SIEM, EDR, CSPM, etc.). Réaliser des audits et assessments de sécurité sur des environnements AWS. Collaborer avec les équipes DevOps et Cloud pour intégrer la sécurité dans les pipelines CI/CD (approche DevSecOps). Contribuer à la veille technologique et au partage de connaissances au sein de la communauté Devoteam. Développer et maintenir des applications back-end en utilisant le framework Java Spring. Participer à la conception technique et à la définition des architectures logicielles. Contribuer à l'intégration continue et au déploiement (CI/CD) en collaboration avec les équipes DevOps. Rédiger et exécuter des tests unitaires et d'intégration pour garantir la qualité du code. Collaborer avec les équipes produit, design et autres développeurs pour livrer des solutions innovantes. Levallois-Perret . France Consultant Vos missions principales : Gestion de projet : Vous mènerez des études d'opportunité, rédigerez des notes de cadrage et piloterez les projets de A à Z. Conception & Stratégie : Vous traduirez les besoins métiers en spécifications fonctionnelles et cahiers des charges. Coordination & Suivi : Vous animerez des réunions, vérifierez les livrables, et superviserez les phases de test et de recette. Accompagnement : Vous serez le point de contact privilégié pour le support utilisateur. Ce poste est parfait pour un(e) chef(fe) de projet passionné(e) par la conception de solutions et l'accompagnement des équipes. Accompagnement à la migration de bases de données EKIP et optimisation des traitements.
09/06/2026
Full time
Levallois-Perret . France Manager Le Poste : Piloter les projets et programmes d'implémentation de solutions d'Intelligence Artificielle et d'automatisation intelligente. En tant qu'AI Project Manager, vous portez la vision technologique au service de la performance. Vous pilotez des programmes complexes d'Intelligence Artificielle et d'automatisation, en garantissant un alignement parfait entre les capacités techniques et les enjeux stratégiques de l'entreprise. Vos Activités Principales Cadrage & Qualification : Recueil des besoins métiers pour identifier les opportunités à forte valeur ajoutée (GenAI, Machine Learning, etc.). Pilotage du Cycle de Vie : Orchestration complète, du prototypage (POC) jusqu'à l'industrialisation (Mise en production et scale). Gestion des Ressources & Budget : Estimation des charges (JH), suivi fin de la consommation des ressources Cloud/Calcul et pilotage budgétaire. Coordination Transverse : Animation et synchronisation des équipes (Data Scientists, Data Engineers, experts métiers) et gestion des fournisseurs (SaaS ou sur-mesure). Gouvernance & Risques : Cartographie des risques spécifiques à l'IA (Éthique, performance, qualité des données) et définition des référentiels de fiabilité. Accompagnement au Changement : Évangélisation des technologies IA et promotion des nouveaux usages auprès des différentes lignes métier. En tant que Consultant(e) ServiceNow basé(e) à Lyon, vous jouerez un rôle clé dans l'accompagnement de nos clients sur des projets de transformation digitale d'envergure. Vos principales missions seront : Accompagner et conseiller nos clients dans la définition et la mise en œuvre de leurs processus d'entreprise et/ou leurs solutions ServiceNow. Contribuer à l'intégration et au déploiement de solutions techniques adaptées aux besoins métiers. Animer des ateliers pour faire émerger une vision commune et détaillée des solutions à implémenter. Réaliser le paramétrage, l'intégration et le développement d'applications sur la plateforme ServiceNow. Participer aux activités d'avant-vente aux côtés de nos ingénieurs d'affaires. Dans le cadre du renforcement de notre entité SAP, Devoteam recherche un Consultant SAP SD OTC Senior pour accompagner ses clients sur des projets stratégiques, notamment autour de SAP S/4HANA et de la transformation digitale des processus Order to Cash. Missions principales Analyse, conception et déploiement des solutions SAP SD en cohérence avec les besoins métiers. Gestion et optimisation des processus Order to Cash (OTC) : gestion des commandes, facturation, livraison, gestion des retours, gestion des crédits, etc. Paramétrage avancé du module SD et intégration avec les autres modules SAP (FI, MM, WM, etc.). Accompagnement des équipes métiers dans la compréhension des solutions et la conduite du changement. Participation aux phases de tests, recette et déploiement. Conseil et recommandations sur l'amélioration continue des processus et sur l'adoption des nouvelles technologies SAP (S/4HANA, SAP BTP). Interface avec les équipes techniques et les équipes projet internationales. Dans le cadre d'un accompagnement cyber global chez l'un de nos clients grands comptes, Devoteam recherche un(e) Consultant Sécurité Senior capable d'intervenir à la fois sur la vision stratégique et sur l'exécution opérationnelle des sujets de cybersécurité. Le poste s'inscrit dans une relation de partenariat long terme, avec un rôle central d'animation, de structuration et d'amélioration continue de la posture cyber du client. Piloter le Vulnerability Management de bout en bout : Scan, qualification, priorisation, remédiation Définition et suivi des SLA Concevoir et déployer de nouveaux processus de gestion des vulnérabilités Améliorer l'industrialisation et l'automatisation des workflows sécurité Travailler en proximité avec les équipes IT, Cloud, DevOps et métiers Innovation & construction de nouveaux sujets Mettre en place et structurer une capacité de Cyber Threat Intelligence (CTI) Faire évoluer les processus en place sur le traitement des vulnérabilités, être capable de construire des approches différentes adaptées au besoin du client Leadership relationnel & influence Jouer un rôle de facilitateur entre sécurité, IT et métier Incarner une posture de partenaire, pas de simple exécutant Présentiel à 100% Dans le cadre de projets de migration réseau d'envergure nationale, nous recherchons des Consultants MER pour renforcer nos équipes déploiement. Ce poste est central dans la transformation de nos infrastructures opérateurs, SD-WAN et LAN. Le Consultant interviendra sur des phases critiques de bascule, en appliquant les runbooks techniques rédigés par notre bureau d'ingénierie, dans des contextes planifiés en heures ouvrées (HO) et hors heures ouvrées (HNO). Missions principales Réaliser les mises en réseau (activation, configuration, tests) conformément aux procédures fournies. Installer, configurer et mettre en service des équipements réseau (routeurs, switches, passerelles SD-WAN, etc.). Appliquer les runbooks de déploiement avec rigueur et précision. Assurer les tests de bon fonctionnement (connectivité, routage, supervision) avant mise en production. Documenter chaque intervention via des rapports normalisés, assurer un reporting clair aux équipes centrales. Identifier et remonter les anomalies techniques aux équipes d'ingénierie. Travailler en coordination avec les équipes opérations pour la passation de la supervision et la mise à jour des informations associées. En tant qu'Ingénieur Sécurité AWS, vous intégrerez nos équipes spécialisées Cloud & Sécurité pour accompagner nos clients grands comptes dans la sécurisation de leurs environnements AWS. Concevoir, mettre en œuvre et maintenir des architectures sécurisées dans AWS. Définir et appliquer les bonnes pratiques de sécurité cloud (IAM, gestion des clés, chiffrement, monitoring, etc.). Déployer et administrer des solutions de sécurité cloud (WAF, SIEM, EDR, CSPM, etc.). Réaliser des audits et assessments de sécurité sur des environnements AWS. Collaborer avec les équipes DevOps et Cloud pour intégrer la sécurité dans les pipelines CI/CD (approche DevSecOps). Contribuer à la veille technologique et au partage de connaissances au sein de la communauté Devoteam. Développer et maintenir des applications back-end en utilisant le framework Java Spring. Participer à la conception technique et à la définition des architectures logicielles. Contribuer à l'intégration continue et au déploiement (CI/CD) en collaboration avec les équipes DevOps. Rédiger et exécuter des tests unitaires et d'intégration pour garantir la qualité du code. Collaborer avec les équipes produit, design et autres développeurs pour livrer des solutions innovantes. Levallois-Perret . France Consultant Vos missions principales : Gestion de projet : Vous mènerez des études d'opportunité, rédigerez des notes de cadrage et piloterez les projets de A à Z. Conception & Stratégie : Vous traduirez les besoins métiers en spécifications fonctionnelles et cahiers des charges. Coordination & Suivi : Vous animerez des réunions, vérifierez les livrables, et superviserez les phases de test et de recette. Accompagnement : Vous serez le point de contact privilégié pour le support utilisateur. Ce poste est parfait pour un(e) chef(fe) de projet passionné(e) par la conception de solutions et l'accompagnement des équipes. Accompagnement à la migration de bases de données EKIP et optimisation des traitements.
About Atos Atos Group is a global leader in digital transformation with approximately 63,000 employees and annual revenue of around €8 billion, operating in 61 countries under the brands Atos and Eviden. It is Europe's number one in cybersecurity, cloud and high performance computing, and is committed to a secure and decarbonised future. Job Overview We are looking for a PostgreSQL database administrator with strong data modelling skills to join our team. The role includes managing a Postgres application data store across environments, working closely with development to define the data model for new data feeds, and owning the core data structures used within the application. Responsibilities Take responsibility for the application PostgreSQL database cluster across multiple environments, on cloud and on premises Monitor and tune the database to optimise performance Handle migration of data structures across database instances, including to offline environments Own the data models and manage the lifecycle of the data within the Postgres database Collaborate with data pipeline engineers and data scientists to ingest a wide range of data sources Manage security controls across environments, defining roles, permissions and row level security Work directly with the infrastructure team to configure installation and manage patching across all environments Qualifications & Skills Experience as a PostgreSQL DBA, core development/maintenance and performance optimisation (sharding, partitions). Knowledge of extensions such as pgvector, PostGIS and AGE is very useful. Additional skills in Oracle or MSSQL are required. Proficiency in performance optimisation: index tuning, execution plan analysis, query optimisation and data partitioning. Backup and recovery: capability to define backup strategies based on environment constraints. Clustering: experience with managing database clusters and fail over strategies. Data modelling: designing, creating and managing schemas, tables and views to support the data models. Understanding of best practices for storing JSON objects within PostgreSQL. Clear communication and ability to collaborate with developers to define and implement data model requirements. SC clearance is required; DV as a target. Must have lived and worked in the UK continuously for the past 5-7 years. Location Flexible Work Model - Hybrid working with a minimum of two days per week in the office to support productivity, collaboration and employee well being. Benefits Pension Scheme - contributions matched up to 10% Private medical cover Income protection Life assurance 25 days paid leave plus national holidays Flex benefits program Diversity, Equity & Inclusion At Atos diversity and inclusion are embedded in our DNA. We are a Disability Confident employer and encourage applications from all, especially those who are differently abled. We are committed to making reasonable adjustments to the application and assessment process to accommodate your needs. Legal Statement We will consider equal opportunities and comply with the Equality Act 2010.
09/06/2026
Full time
About Atos Atos Group is a global leader in digital transformation with approximately 63,000 employees and annual revenue of around €8 billion, operating in 61 countries under the brands Atos and Eviden. It is Europe's number one in cybersecurity, cloud and high performance computing, and is committed to a secure and decarbonised future. Job Overview We are looking for a PostgreSQL database administrator with strong data modelling skills to join our team. The role includes managing a Postgres application data store across environments, working closely with development to define the data model for new data feeds, and owning the core data structures used within the application. Responsibilities Take responsibility for the application PostgreSQL database cluster across multiple environments, on cloud and on premises Monitor and tune the database to optimise performance Handle migration of data structures across database instances, including to offline environments Own the data models and manage the lifecycle of the data within the Postgres database Collaborate with data pipeline engineers and data scientists to ingest a wide range of data sources Manage security controls across environments, defining roles, permissions and row level security Work directly with the infrastructure team to configure installation and manage patching across all environments Qualifications & Skills Experience as a PostgreSQL DBA, core development/maintenance and performance optimisation (sharding, partitions). Knowledge of extensions such as pgvector, PostGIS and AGE is very useful. Additional skills in Oracle or MSSQL are required. Proficiency in performance optimisation: index tuning, execution plan analysis, query optimisation and data partitioning. Backup and recovery: capability to define backup strategies based on environment constraints. Clustering: experience with managing database clusters and fail over strategies. Data modelling: designing, creating and managing schemas, tables and views to support the data models. Understanding of best practices for storing JSON objects within PostgreSQL. Clear communication and ability to collaborate with developers to define and implement data model requirements. SC clearance is required; DV as a target. Must have lived and worked in the UK continuously for the past 5-7 years. Location Flexible Work Model - Hybrid working with a minimum of two days per week in the office to support productivity, collaboration and employee well being. Benefits Pension Scheme - contributions matched up to 10% Private medical cover Income protection Life assurance 25 days paid leave plus national holidays Flex benefits program Diversity, Equity & Inclusion At Atos diversity and inclusion are embedded in our DNA. We are a Disability Confident employer and encourage applications from all, especially those who are differently abled. We are committed to making reasonable adjustments to the application and assessment process to accommodate your needs. Legal Statement We will consider equal opportunities and comply with the Equality Act 2010.
Job Title: Junior Data Scientist Job Family: Business Operations Reports To: Lead Data Scientist Subordinates: None Company Overview Eastnets is a leading player in the B2B fintech industry. We are a global provider of compliance and payments solutions for the financial services sector. Our experience and expertise help ensure trust at over 800 financial institutions across the world, including 11 of the top global banks. We secure institutions from financial crime by helping our partners manage risk through sanction screening, transaction monitoring, analytics, and reporting, along with market-leading consultancy and customer support. The Junior Data Scientist is responsible for problem-solving across multiple domains; Fraud, Financial Crime & Compliance Risk business of Eastnets. This is an all-encompassing role that will involve: business requirements gathering and understanding, ideas generation, data engineering, model development and visualization, model deployment/dev ops, model management, stakeholder management, and model interpretation to relevant business owners. He/She will use technology and framework for development, using Python, and have a chance to shape solutions within a continuously evolving industry. The candidate will contribute to customer demos, and requests for proposals and interact with Product Owners and Sales support. Key Responsibilities Use machine learning, modeling, analytics and statistical and mathematical techniques to solve problems. Extract data from multiple sources, exploratory data analysis, plots/charts, etc. Propose solutions and strategies to business challenges. Represent Eastnets at external events such as webinars, conferences. Build strategic relationships with Product Owners, Sales and Customers. Research new and emerging technologies, tools and techniques. Curiosity in solving problems using a novel machine learning approach. Educate other team members, Product Managers, Developers, and QA on data science techniques used to solve the problem at hand. Responsible for managing multiple data science projects simultaneously. Gather requirements from relevant stakeholders and manage expectations. Coordinate with developers and QA on deploying developed models. Maintain the security of the information, devices and systems that Eastnets and its personnel, customers and partners use. Protect Eastnets business information and any customer, supplier or partner information within its custody by safeguarding its confidentiality, integrity and availability. Adhere to and comply with Eastnets internal security policies, Code of Ethics, Non-Disclosure Policy, Non-Compete Policy, Email Policy, Proprietary Rights Acknowledgement, Background Check Policy, and all other internal policies and employee handbook. Participate in the company's wide initiatives. Requirements Graduate preferably in a STEM subject. An MBA or equivalent post-graduate qualification is a plus. Data science certifications would be a plus. Strong experience in programming. (Any mainstream data science programming language). Familiarity with AI/ML concepts and their application in financial crime prevention is a strong plus. Solid knowledge in data science methodology e.g. supervised learning, clustering, forecasting and time series analysis, text analytics and natural language processing, etc. Solid knowledge in machine learning and statistical techniques: regression, neural networks, social network analysis, support vector machine, etc. Proficiency in SQL. Experience in delivering product solutions in Fraud, Financial Crime and Compliance is a plus. Experience in Natural Language Processing, the financial sector, financial service providers, and the banking sector is a plus. Experience in developing solutions using advanced technologies such as Artificial Intelligence in financial services and products. Excellent analytical skills with the ability to integrate diverse and complex data problems. Flexible attitude with proven experience of working in a small and agile team. Must be a team player. Strong relationship management skills with a proven ability to work across the business. Excellent communication skills for different internal and external communication needs. Knowledge in AI technologies and their application. Apply for this role and join the Eastnets family Fill out the form, send your CV to and our recruitment team will be in touch if your skill set matches our needs.
09/06/2026
Full time
Job Title: Junior Data Scientist Job Family: Business Operations Reports To: Lead Data Scientist Subordinates: None Company Overview Eastnets is a leading player in the B2B fintech industry. We are a global provider of compliance and payments solutions for the financial services sector. Our experience and expertise help ensure trust at over 800 financial institutions across the world, including 11 of the top global banks. We secure institutions from financial crime by helping our partners manage risk through sanction screening, transaction monitoring, analytics, and reporting, along with market-leading consultancy and customer support. The Junior Data Scientist is responsible for problem-solving across multiple domains; Fraud, Financial Crime & Compliance Risk business of Eastnets. This is an all-encompassing role that will involve: business requirements gathering and understanding, ideas generation, data engineering, model development and visualization, model deployment/dev ops, model management, stakeholder management, and model interpretation to relevant business owners. He/She will use technology and framework for development, using Python, and have a chance to shape solutions within a continuously evolving industry. The candidate will contribute to customer demos, and requests for proposals and interact with Product Owners and Sales support. Key Responsibilities Use machine learning, modeling, analytics and statistical and mathematical techniques to solve problems. Extract data from multiple sources, exploratory data analysis, plots/charts, etc. Propose solutions and strategies to business challenges. Represent Eastnets at external events such as webinars, conferences. Build strategic relationships with Product Owners, Sales and Customers. Research new and emerging technologies, tools and techniques. Curiosity in solving problems using a novel machine learning approach. Educate other team members, Product Managers, Developers, and QA on data science techniques used to solve the problem at hand. Responsible for managing multiple data science projects simultaneously. Gather requirements from relevant stakeholders and manage expectations. Coordinate with developers and QA on deploying developed models. Maintain the security of the information, devices and systems that Eastnets and its personnel, customers and partners use. Protect Eastnets business information and any customer, supplier or partner information within its custody by safeguarding its confidentiality, integrity and availability. Adhere to and comply with Eastnets internal security policies, Code of Ethics, Non-Disclosure Policy, Non-Compete Policy, Email Policy, Proprietary Rights Acknowledgement, Background Check Policy, and all other internal policies and employee handbook. Participate in the company's wide initiatives. Requirements Graduate preferably in a STEM subject. An MBA or equivalent post-graduate qualification is a plus. Data science certifications would be a plus. Strong experience in programming. (Any mainstream data science programming language). Familiarity with AI/ML concepts and their application in financial crime prevention is a strong plus. Solid knowledge in data science methodology e.g. supervised learning, clustering, forecasting and time series analysis, text analytics and natural language processing, etc. Solid knowledge in machine learning and statistical techniques: regression, neural networks, social network analysis, support vector machine, etc. Proficiency in SQL. Experience in delivering product solutions in Fraud, Financial Crime and Compliance is a plus. Experience in Natural Language Processing, the financial sector, financial service providers, and the banking sector is a plus. Experience in developing solutions using advanced technologies such as Artificial Intelligence in financial services and products. Excellent analytical skills with the ability to integrate diverse and complex data problems. Flexible attitude with proven experience of working in a small and agile team. Must be a team player. Strong relationship management skills with a proven ability to work across the business. Excellent communication skills for different internal and external communication needs. Knowledge in AI technologies and their application. Apply for this role and join the Eastnets family Fill out the form, send your CV to and our recruitment team will be in touch if your skill set matches our needs.
Workplace Data Scientist Location: London Business Area: Workplace Operations and Supply Chain Ref #: Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. What's the role As an integral member of the team, you will go beyond the collection and synthesis of data, you'll help us to determine where potential opportunities exist; the information required to effectively analyse our processes; and how to use findings to improve our operations and strengthen our business strategy. We are looking for a Workplace Data Scientist that possesses an outstanding combination of business insight and technical skills, as well as strong communication and social skills. You will partner with our Support functional teams to understand their needs, and collaborate with engineers to design and implement technology solutions. You will work hands on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. Your projects will involve building complex data models, create data visualizations, conduct robust statistical analysis, and build predictive data science models to help the business make smarter decisions. You will work hands on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. You'll be encouraged to work independently, understand the business problem and to handle your own priorities, while collaborating with other team members and colleagues across various businesses. You have a vision, you design, you simplify, you visualize, and you effectively communicate the business impact of your work. In this role you will lead strategic planning, while driving alignment and performance across the organization. You have the responsibility to ensure the projects, systems and processes you own are supported and drive business impact. We'll trust you to: Work closely with partners and their teams to understand their business needs and design solutions Partner with stakeholders to design insightful analytics and key performance indicators that will promote efficiency/operational excellence Think beyond specific tasks, understand the ultimate goal, and ask the right questions to drive value for the business Find innovative ways to build business impact Effectively communicate project progress and success to partners in compelling, creative, and accessible ways Build intuitive data models and dashboards using Python, SQL, and data visualization software (i.e., Qliksense, Tableau, PowerBI) Perform robust analysis of large data sets using the Python data science suite You'll need to have: An undergraduate degree or higher in Computer Science, Mathematics, Statistics or similar Strong attention to detail and the ability to produce high quality presentation materials for senior leadership Experience with data visualization software tools (e.g. Qliksense, Tableau, Power BI, etc.) A minimum of 3 years experience in analytics consulting, data modeling, and predictive models using Python A minimum of 3 years advanced SQL skills and experience working with relational databases, knowledge of big data systems such as Hadoop and Spark Full spectrum of project management skills: ideation, prioritization, communication, and delivery Ability to work with and explain technical concepts to non-technical partners, and break down sophisticated business problems into achievable steps We'd love to see: Excellent interpersonal skills and ability to explain technical processes and solutions to business partners and management Dashboard development experience in QlikSense Development and design of management KPI dashboards Does this sound like you? Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
09/06/2026
Full time
Workplace Data Scientist Location: London Business Area: Workplace Operations and Supply Chain Ref #: Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. What's the role As an integral member of the team, you will go beyond the collection and synthesis of data, you'll help us to determine where potential opportunities exist; the information required to effectively analyse our processes; and how to use findings to improve our operations and strengthen our business strategy. We are looking for a Workplace Data Scientist that possesses an outstanding combination of business insight and technical skills, as well as strong communication and social skills. You will partner with our Support functional teams to understand their needs, and collaborate with engineers to design and implement technology solutions. You will work hands on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. Your projects will involve building complex data models, create data visualizations, conduct robust statistical analysis, and build predictive data science models to help the business make smarter decisions. You will work hands on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. You'll be encouraged to work independently, understand the business problem and to handle your own priorities, while collaborating with other team members and colleagues across various businesses. You have a vision, you design, you simplify, you visualize, and you effectively communicate the business impact of your work. In this role you will lead strategic planning, while driving alignment and performance across the organization. You have the responsibility to ensure the projects, systems and processes you own are supported and drive business impact. We'll trust you to: Work closely with partners and their teams to understand their business needs and design solutions Partner with stakeholders to design insightful analytics and key performance indicators that will promote efficiency/operational excellence Think beyond specific tasks, understand the ultimate goal, and ask the right questions to drive value for the business Find innovative ways to build business impact Effectively communicate project progress and success to partners in compelling, creative, and accessible ways Build intuitive data models and dashboards using Python, SQL, and data visualization software (i.e., Qliksense, Tableau, PowerBI) Perform robust analysis of large data sets using the Python data science suite You'll need to have: An undergraduate degree or higher in Computer Science, Mathematics, Statistics or similar Strong attention to detail and the ability to produce high quality presentation materials for senior leadership Experience with data visualization software tools (e.g. Qliksense, Tableau, Power BI, etc.) A minimum of 3 years experience in analytics consulting, data modeling, and predictive models using Python A minimum of 3 years advanced SQL skills and experience working with relational databases, knowledge of big data systems such as Hadoop and Spark Full spectrum of project management skills: ideation, prioritization, communication, and delivery Ability to work with and explain technical concepts to non-technical partners, and break down sophisticated business problems into achievable steps We'd love to see: Excellent interpersonal skills and ability to explain technical processes and solutions to business partners and management Dashboard development experience in QlikSense Development and design of management KPI dashboards Does this sound like you? Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
A leading fintech company in the UK is seeking a Lead Data Scientist to drive data strategy and enhance customer experience. This role involves leading data practices, mentoring team members, and collaborating across functions to utilize data insights for product improvement. The ideal candidate is someone who thrives in a fast-paced environment, excels in strategic thinking, and is eager to tackle challenging data problems. Competitive salary included.
09/06/2026
Full time
A leading fintech company in the UK is seeking a Lead Data Scientist to drive data strategy and enhance customer experience. This role involves leading data practices, mentoring team members, and collaborating across functions to utilize data insights for product improvement. The ideal candidate is someone who thrives in a fast-paced environment, excels in strategic thinking, and is eager to tackle challenging data problems. Competitive salary included.
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. What you'll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What's in it for you: £95,000 to £130,000 + Stock Options + Benefits ️ We can help you relocate to the UK or Spain We can sponsor visas This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Keeping your data safe is really important to us. Please take a look at our Candidate Data Privacy Notice (linked below) and confirm that you have. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary. And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. It'll be helpful for equal opportunities monitoring. Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? Select By checking this box, I consent to Monzo collecting, storing, and processing my responses to the demographic data surveys above.
09/06/2026
Full time
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. What you'll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What's in it for you: £95,000 to £130,000 + Stock Options + Benefits ️ We can help you relocate to the UK or Spain We can sponsor visas This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Keeping your data safe is really important to us. Please take a look at our Candidate Data Privacy Notice (linked below) and confirm that you have. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary. And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. It'll be helpful for equal opportunities monitoring. Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? Select By checking this box, I consent to Monzo collecting, storing, and processing my responses to the demographic data surveys above.
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. What you'll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What's in it for you: £95,000 to £130,000 + Stock Options + Benefits ️ We can help you relocate to the UK or Spain We can sponsor visas This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Keeping your data safe is really important to us. Please take a look at our Candidate Data Privacy Notice (linked below) and confirm that you have. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary. And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. It'll be helpful for equal opportunities monitoring. Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? Select By checking this box, I consent to Monzo collecting, storing, and processing my responses to the demographic data surveys above.
09/06/2026
Full time
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. What you'll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What's in it for you: £95,000 to £130,000 + Stock Options + Benefits ️ We can help you relocate to the UK or Spain We can sponsor visas This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Keeping your data safe is really important to us. Please take a look at our Candidate Data Privacy Notice (linked below) and confirm that you have. Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary. And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. It'll be helpful for equal opportunities monitoring. Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? Select By checking this box, I consent to Monzo collecting, storing, and processing my responses to the demographic data surveys above.
A leading fintech company in the UK is seeking a Lead Data Scientist to drive data strategy and enhance customer experience. This role involves leading data practices, mentoring team members, and collaborating across functions to utilize data insights for product improvement. The ideal candidate is someone who thrives in a fast-paced environment, excels in strategic thinking, and is eager to tackle challenging data problems. Competitive salary included.
09/06/2026
Full time
A leading fintech company in the UK is seeking a Lead Data Scientist to drive data strategy and enhance customer experience. This role involves leading data practices, mentoring team members, and collaborating across functions to utilize data insights for product improvement. The ideal candidate is someone who thrives in a fast-paced environment, excels in strategic thinking, and is eager to tackle challenging data problems. Competitive salary included.
Data Scientist (ML Engineer) Salary: £49,387 - £56,515 per annum Location: Manchester Vacancy Type: Permanent Closing date: 18/06/2026 The National Institute for Health and Care Excellence (NICE) is the independent organisation responsible for providing national guidance and advice on promoting high quality health, public health and social care. We have modern offices in Manchester city centre and Stratford, London. Please take into consideration that you may be required to commute to one of our offices for business purposes if necessary. Job overview Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don t delay your submission. Main duties of the job We re looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you ll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You ll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you ll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. Person specification Essential: Holds highly developed specialist knowledge and expertise acquired through a master s degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable: Artificial intelligence certification. Working for our organisation The Architecture & Data team sits at the heart of NICE s digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension Secure your future with one of the most rewarding pension schemes in the UK Flexible working Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts Save on shopping, dining and more with a Blue Light Card Time to recharge Start with 27 days annual leave plus bank holidays Inclusive staff networks Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud we celebrate diversity Tailored development Grow your career with personalised learning and development opportunities If you feel this is the type of environment you will enjoy working in, apply today! To Apply If you feel you are a suitable candidate and would like to work for The National Institute for Health and Care Excellence (NICE), please click apply to be redirected to our website to complete your application.
08/06/2026
Full time
Data Scientist (ML Engineer) Salary: £49,387 - £56,515 per annum Location: Manchester Vacancy Type: Permanent Closing date: 18/06/2026 The National Institute for Health and Care Excellence (NICE) is the independent organisation responsible for providing national guidance and advice on promoting high quality health, public health and social care. We have modern offices in Manchester city centre and Stratford, London. Please take into consideration that you may be required to commute to one of our offices for business purposes if necessary. Job overview Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don t delay your submission. Main duties of the job We re looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you ll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You ll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you ll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. Person specification Essential: Holds highly developed specialist knowledge and expertise acquired through a master s degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable: Artificial intelligence certification. Working for our organisation The Architecture & Data team sits at the heart of NICE s digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension Secure your future with one of the most rewarding pension schemes in the UK Flexible working Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts Save on shopping, dining and more with a Blue Light Card Time to recharge Start with 27 days annual leave plus bank holidays Inclusive staff networks Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud we celebrate diversity Tailored development Grow your career with personalised learning and development opportunities If you feel this is the type of environment you will enjoy working in, apply today! To Apply If you feel you are a suitable candidate and would like to work for The National Institute for Health and Care Excellence (NICE), please click apply to be redirected to our website to complete your application.
AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to 110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex and high-profile environments. You'll work alongside highly skilled architects, engineers, and data specialists, helping organisations transform their data capabilities using cutting-edge AWS technologies and modern cloud architectures. The Opportunity As an AWS Data Solution Architect, you will take ownership of end-to-end solution design, translating business requirements into scalable, secure, and governed cloud data platforms. You'll lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience and cost optimisation. Implement CI/CD pipelines and Infrastructure-as-Code using AWS CDK, CloudFormation or Terraform. Lead cloud migration and modernisation programmes from legacy data estates to modern AWS architectures. Collaborate with stakeholders, engineers, data scientists and delivery teams to ensure successful outcomes. Desirable Experience Public sector delivery experience. Experience supporting AI, Machine Learning and GenAI initiatives. AWS certifications such as: AWS Certified Solutions Architect AWS Certified Data Engineer - Associate AWS Certified Security - Speciality Experience with: Terraform AWS CDK CloudFormation AWS CodePipeline AWS CodeBuild Git-based CI/CD workflows Security Clearance Requirements To be considered for this opportunity, candidates must be eligible to obtain Security Check (SC) Clearance . This typically requires continuous UK residency for the previous five years, alongside meeting other government security clearance criteria. Apply Now If you're passionate about designing next-generation AWS data platforms and want to work on impactful programmes that leverage analytics, AI and cloud innovation at scale, we'd love to hear from you.
08/06/2026
Full time
AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to 110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex and high-profile environments. You'll work alongside highly skilled architects, engineers, and data specialists, helping organisations transform their data capabilities using cutting-edge AWS technologies and modern cloud architectures. The Opportunity As an AWS Data Solution Architect, you will take ownership of end-to-end solution design, translating business requirements into scalable, secure, and governed cloud data platforms. You'll lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience and cost optimisation. Implement CI/CD pipelines and Infrastructure-as-Code using AWS CDK, CloudFormation or Terraform. Lead cloud migration and modernisation programmes from legacy data estates to modern AWS architectures. Collaborate with stakeholders, engineers, data scientists and delivery teams to ensure successful outcomes. Desirable Experience Public sector delivery experience. Experience supporting AI, Machine Learning and GenAI initiatives. AWS certifications such as: AWS Certified Solutions Architect AWS Certified Data Engineer - Associate AWS Certified Security - Speciality Experience with: Terraform AWS CDK CloudFormation AWS CodePipeline AWS CodeBuild Git-based CI/CD workflows Security Clearance Requirements To be considered for this opportunity, candidates must be eligible to obtain Security Check (SC) Clearance . This typically requires continuous UK residency for the previous five years, alongside meeting other government security clearance criteria. Apply Now If you're passionate about designing next-generation AWS data platforms and want to work on impactful programmes that leverage analytics, AI and cloud innovation at scale, we'd love to hear from you.
AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to £110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex and high-profile environments. You'll work alongside highly skilled architects, engineers, and data specialists, helping organisations transform their data capabilities using cutting-edge AWS technologies and modern cloud architectures. The Opportunity As an AWS Data Solution Architect, you will take ownership of end-to-end solution design, translating business requirements into scalable, secure, and governed cloud data platforms. You'll lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience and cost optimisation. Implement CI/CD pipelines and Infrastructure-as-Code using AWS CDK, CloudFormation or Terraform. Lead cloud migration and modernisation programmes from Legacy data estates to modern AWS architectures. Collaborate with stakeholders, engineers, data scientists and delivery teams to ensure successful outcomes. Desirable Experience Public sector delivery experience. Experience supporting AI, Machine Learning and GenAI initiatives. AWS certifications such as: AWS Certified Solutions Architect AWS Certified Data Engineer - Associate AWS Certified Security - Speciality Experience with: Terraform AWS CDK CloudFormation AWS CodePipeline AWS CodeBuild Git-based CI/CD workflows Security Clearance Requirements To be considered for this opportunity, candidates must be eligible to obtain Security Check (SC) Clearance . This typically requires continuous UK residency for the previous five years, alongside meeting other government security clearance criteria. Apply Now If you're passionate about designing next-generation AWS data platforms and want to work on impactful programmes that leverage analytics, AI and cloud innovation at scale, we'd love to hear from you.
08/06/2026
Full time
AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to £110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex and high-profile environments. You'll work alongside highly skilled architects, engineers, and data specialists, helping organisations transform their data capabilities using cutting-edge AWS technologies and modern cloud architectures. The Opportunity As an AWS Data Solution Architect, you will take ownership of end-to-end solution design, translating business requirements into scalable, secure, and governed cloud data platforms. You'll lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience and cost optimisation. Implement CI/CD pipelines and Infrastructure-as-Code using AWS CDK, CloudFormation or Terraform. Lead cloud migration and modernisation programmes from Legacy data estates to modern AWS architectures. Collaborate with stakeholders, engineers, data scientists and delivery teams to ensure successful outcomes. Desirable Experience Public sector delivery experience. Experience supporting AI, Machine Learning and GenAI initiatives. AWS certifications such as: AWS Certified Solutions Architect AWS Certified Data Engineer - Associate AWS Certified Security - Speciality Experience with: Terraform AWS CDK CloudFormation AWS CodePipeline AWS CodeBuild Git-based CI/CD workflows Security Clearance Requirements To be considered for this opportunity, candidates must be eligible to obtain Security Check (SC) Clearance . This typically requires continuous UK residency for the previous five years, alongside meeting other government security clearance criteria. Apply Now If you're passionate about designing next-generation AWS data platforms and want to work on impactful programmes that leverage analytics, AI and cloud innovation at scale, we'd love to hear from you.
Company description: Water Utility Company based in Yorkshire region of England. Job description: Senior Data Scientist Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water: We offer a competitive salary, depending on experience (up to £73,000) A company car lease/allowance scheme (£500 per month/£6,000 per year, based on full-time employment on joining the company). You can opt to sign up to the EV Car Salary Sacrifice Scheme 6 months after joining the company. Annual incentive related bonus (up to 10% of annual salary, increasing to 15% in the 26 to 27 performance year). Private health care (self only) Attractive pension scheme (up to 12% company contribution) Life assurance cover of 4 times pensionable salary 25 days annual leave plus bank holidays plus 2 extra wellness days! A great benefits package choose from health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover. Retail savings scheme Online GP service, cycle to work scheme, gym membership discounts and many more! Location: Buttershaw/ Hybrid Working (1-2 days in the office a week Bradford) This role will initially be based in Bradford but were moving our office to Leeds Valley Park in summer 2026, so youll be based there in the future. Work type: Permanent. 37 hours per week, Monday Friday. We have an exciting opportunity for a Senior Data Scientist to join the IT team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could this be you? What we do: Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year, can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, its so much more than this. We look after communities, protect the environment, and plan to look after Yorkshires water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the regions health, wellbeing, and prosperity. New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry. The IT function is a key part of how we plan to meet the changing expectations of customers and regulators. Were looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks, and aligning with our enterprise-wide transformation strategy. In this pivotal role, youll act as a subject matter expert across the business, guiding senior stakeholders and leading by example in evidence-based decision-making. Youll design and optimise decision models, foster a culture of technical excellence, and ensure continuous improvement through governance, coaching, and best practice. This is a unique opportunity to shape how data drives performance, sustainability, and innovation across Yorkshire Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping to steer the strategic direction of Data at YW Prioritise and deliver data solutions aligned to business needs using teams' ways-of-working Translate complex data into actionable insights that drive performance and transformation Lead technical excellence through governance, assurance and coaching across the team Actively supporting the professional development of data scientists Support the business and data science leadership by triaging and undertaking reactive tasks to reduce ODI pressure Communicate complex outputs clearly to non-technical stakeholders using visualisation tools and storytelling Develop and maintain advanced modelling skills in Python, R, SQL, and cloud platforms Align solutions with data strategy and wider transformation programmes Horizon scan and embed emerging technologies like AI, Digital Twins, and Open Data Represent Yorkshire Water in cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud platforms (e.g. Azure, AWS) Knowledge of data engineering, manipulation, and pipeline development Familiarity with technical assurance, QA, and model performance evaluation Strong communication and stakeholder engagement skills, including with senior leadership High standards of integrity and ethics Microsoft Azure certifications or equivalent Experience in water, wastewater, utilities, or manufacturing sectors Understanding of asset management principles Experience with Agile delivery methodologies Although we operate 24 hours a day, 365 days a year, its important to us that we support flexible working patterns and job share options (when we can), to help you make the best of both your work and home life. We know that juggling childcare responsibilities or getting that ideal work/life balance isnt always easy! Do we sound like your cup of tea? If youve got experience in Data Science and want to help us deliver great service for our customers whilst looking after the environment, then be sure to apply today to find out what a career with Yorkshire Water can offer you. If successful for the role, you will be required to undergo pre-employment checks that will include a Basic Disclosure Check, carried out through a Third-Party Company, prior to commencing employment. Depending on the role, you may also be required to go through the security vetting process for either a Counter Terrorist Check or Security Check clearance. All our roles are subject to a medical questionnaire, and further medicals when required. We are committed to removing barriers and ensuring our recruitment process is accessible to everyone. We offer a range of adjustments to make your application experience as comfortable and straightforward as possible. If you have an accessibility need, disability, or condition that requires changes to the recruitment process, please include this information in your application. We will then discuss any reasonable adjustments required. The closing date for this role is the 17th June 2026. Kelda Group reserve the right to close this position before the published closing date, should the need occur. We therefore advise that you complete and submit your application as soon as possible. No agencies please. ? JBRP1_UKTJ
08/06/2026
Full time
Company description: Water Utility Company based in Yorkshire region of England. Job description: Senior Data Scientist Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water: We offer a competitive salary, depending on experience (up to £73,000) A company car lease/allowance scheme (£500 per month/£6,000 per year, based on full-time employment on joining the company). You can opt to sign up to the EV Car Salary Sacrifice Scheme 6 months after joining the company. Annual incentive related bonus (up to 10% of annual salary, increasing to 15% in the 26 to 27 performance year). Private health care (self only) Attractive pension scheme (up to 12% company contribution) Life assurance cover of 4 times pensionable salary 25 days annual leave plus bank holidays plus 2 extra wellness days! A great benefits package choose from health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover. Retail savings scheme Online GP service, cycle to work scheme, gym membership discounts and many more! Location: Buttershaw/ Hybrid Working (1-2 days in the office a week Bradford) This role will initially be based in Bradford but were moving our office to Leeds Valley Park in summer 2026, so youll be based there in the future. Work type: Permanent. 37 hours per week, Monday Friday. We have an exciting opportunity for a Senior Data Scientist to join the IT team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could this be you? What we do: Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year, can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, its so much more than this. We look after communities, protect the environment, and plan to look after Yorkshires water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the regions health, wellbeing, and prosperity. New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry. The IT function is a key part of how we plan to meet the changing expectations of customers and regulators. Were looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks, and aligning with our enterprise-wide transformation strategy. In this pivotal role, youll act as a subject matter expert across the business, guiding senior stakeholders and leading by example in evidence-based decision-making. Youll design and optimise decision models, foster a culture of technical excellence, and ensure continuous improvement through governance, coaching, and best practice. This is a unique opportunity to shape how data drives performance, sustainability, and innovation across Yorkshire Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping to steer the strategic direction of Data at YW Prioritise and deliver data solutions aligned to business needs using teams' ways-of-working Translate complex data into actionable insights that drive performance and transformation Lead technical excellence through governance, assurance and coaching across the team Actively supporting the professional development of data scientists Support the business and data science leadership by triaging and undertaking reactive tasks to reduce ODI pressure Communicate complex outputs clearly to non-technical stakeholders using visualisation tools and storytelling Develop and maintain advanced modelling skills in Python, R, SQL, and cloud platforms Align solutions with data strategy and wider transformation programmes Horizon scan and embed emerging technologies like AI, Digital Twins, and Open Data Represent Yorkshire Water in cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud platforms (e.g. Azure, AWS) Knowledge of data engineering, manipulation, and pipeline development Familiarity with technical assurance, QA, and model performance evaluation Strong communication and stakeholder engagement skills, including with senior leadership High standards of integrity and ethics Microsoft Azure certifications or equivalent Experience in water, wastewater, utilities, or manufacturing sectors Understanding of asset management principles Experience with Agile delivery methodologies Although we operate 24 hours a day, 365 days a year, its important to us that we support flexible working patterns and job share options (when we can), to help you make the best of both your work and home life. We know that juggling childcare responsibilities or getting that ideal work/life balance isnt always easy! Do we sound like your cup of tea? If youve got experience in Data Science and want to help us deliver great service for our customers whilst looking after the environment, then be sure to apply today to find out what a career with Yorkshire Water can offer you. If successful for the role, you will be required to undergo pre-employment checks that will include a Basic Disclosure Check, carried out through a Third-Party Company, prior to commencing employment. Depending on the role, you may also be required to go through the security vetting process for either a Counter Terrorist Check or Security Check clearance. All our roles are subject to a medical questionnaire, and further medicals when required. We are committed to removing barriers and ensuring our recruitment process is accessible to everyone. We offer a range of adjustments to make your application experience as comfortable and straightforward as possible. If you have an accessibility need, disability, or condition that requires changes to the recruitment process, please include this information in your application. We will then discuss any reasonable adjustments required. The closing date for this role is the 17th June 2026. Kelda Group reserve the right to close this position before the published closing date, should the need occur. We therefore advise that you complete and submit your application as soon as possible. No agencies please. ? JBRP1_UKTJ
Company description: Water Utility Company based in Yorkshire region of England. Job description: Senior Data Scientist Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water: We offer a competitive salary, depending on experience (up to £73,000) A company car lease/allowance scheme (£500 per month/£6,000 per year, based on full-time employment on joining the company). You can opt to sign up to the EV Car Salary Sacrifice Scheme 6 months after joining the company. Annual incentive related bonus (up to 10% of annual salary, increasing to 15% in the 26 to 27 performance year). Private health care (self only) Attractive pension scheme (up to 12% company contribution) Life assurance cover of 4 times pensionable salary 25 days annual leave plus bank holidays plus 2 extra wellness days! A great benefits package choose from health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover. Retail savings scheme Online GP service, cycle to work scheme, gym membership discounts and many more! Location: Buttershaw/ Hybrid Working (1-2 days in the office a week Bradford) This role will initially be based in Bradford but were moving our office to Leeds Valley Park in summer 2026, so youll be based there in the future. Work type: Permanent. 37 hours per week, Monday Friday. We have an exciting opportunity for a Senior Data Scientist to join the IT team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could this be you? What we do: Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year, can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, its so much more than this. We look after communities, protect the environment, and plan to look after Yorkshires water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the regions health, wellbeing, and prosperity. New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry. The IT function is a key part of how we plan to meet the changing expectations of customers and regulators. Were looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks, and aligning with our enterprise-wide transformation strategy. In this pivotal role, youll act as a subject matter expert across the business, guiding senior stakeholders and leading by example in evidence-based decision-making. Youll design and optimise decision models, foster a culture of technical excellence, and ensure continuous improvement through governance, coaching, and best practice. This is a unique opportunity to shape how data drives performance, sustainability, and innovation across Yorkshire Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping to steer the strategic direction of Data at YW Prioritise and deliver data solutions aligned to business needs using teams' ways-of-working Translate complex data into actionable insights that drive performance and transformation Lead technical excellence through governance, assurance and coaching across the team Actively supporting the professional development of data scientists Support the business and data science leadership by triaging and undertaking reactive tasks to reduce ODI pressure Communicate complex outputs clearly to non-technical stakeholders using visualisation tools and storytelling Develop and maintain advanced modelling skills in Python, R, SQL, and cloud platforms Align solutions with data strategy and wider transformation programmes Horizon scan and embed emerging technologies like AI, Digital Twins, and Open Data Represent Yorkshire Water in cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud platforms (e.g. Azure, AWS) Knowledge of data engineering, manipulation, and pipeline development Familiarity with technical assurance, QA, and model performance evaluation Strong communication and stakeholder engagement skills, including with senior leadership High standards of integrity and ethics Microsoft Azure certifications or equivalent Experience in water, wastewater, utilities, or manufacturing sectors Understanding of asset management principles Experience with Agile delivery methodologies Although we operate 24 hours a day, 365 days a year, its important to us that we support flexible working patterns and job share options (when we can), to help you make the best of both your work and home life. We know that juggling childcare responsibilities or getting that ideal work/life balance isnt always easy! Do we sound like your cup of tea? If youve got experience in Data Science and want to help us deliver great service for our customers whilst looking after the environment, then be sure to apply today to find out what a career with Yorkshire Water can offer you. If successful for the role, you will be required to undergo pre-employment checks that will include a Basic Disclosure Check, carried out through a Third-Party Company, prior to commencing employment. Depending on the role, you may also be required to go through the security vetting process for either a Counter Terrorist Check or Security Check clearance. All our roles are subject to a medical questionnaire, and further medicals when required. We are committed to removing barriers and ensuring our recruitment process is accessible to everyone. We offer a range of adjustments to make your application experience as comfortable and straightforward as possible. If you have an accessibility need, disability, or condition that requires changes to the recruitment process, please include this information in your application. We will then discuss any reasonable adjustments required. The closing date for this role is the 17th June 2026. Kelda Group reserve the right to close this position before the published closing date, should the need occur. We therefore advise that you complete and submit your application as soon as possible. No agencies please. ? JBRP1_UKTJ
08/06/2026
Full time
Company description: Water Utility Company based in Yorkshire region of England. Job description: Senior Data Scientist Hello! Thanks for stopping by. Let us tell you about all the great reasons to join us here at Yorkshire Water: We offer a competitive salary, depending on experience (up to £73,000) A company car lease/allowance scheme (£500 per month/£6,000 per year, based on full-time employment on joining the company). You can opt to sign up to the EV Car Salary Sacrifice Scheme 6 months after joining the company. Annual incentive related bonus (up to 10% of annual salary, increasing to 15% in the 26 to 27 performance year). Private health care (self only) Attractive pension scheme (up to 12% company contribution) Life assurance cover of 4 times pensionable salary 25 days annual leave plus bank holidays plus 2 extra wellness days! A great benefits package choose from health cash plan scheme, critical illness insurance, dental insurance, life assurance flex and partner cover. Retail savings scheme Online GP service, cycle to work scheme, gym membership discounts and many more! Location: Buttershaw/ Hybrid Working (1-2 days in the office a week Bradford) This role will initially be based in Bradford but were moving our office to Leeds Valley Park in summer 2026, so youll be based there in the future. Work type: Permanent. 37 hours per week, Monday Friday. We have an exciting opportunity for a Senior Data Scientist to join the IT team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could this be you? What we do: Everyone has an idea of what a water company does. Here in Yorkshire, we make sure that over 5.4 million people living in the region and the millions of people who visit our region each year, can rely on our services, and have clean and safe drinking water on tap and that their wastewater is taken away. But for us, its so much more than this. We look after communities, protect the environment, and plan to look after Yorkshires water, today, tomorrow 24/7, 365 days a year. We provide essential water and wastewater services to every corner of the Yorkshire region, and play a key role in the regions health, wellbeing, and prosperity. New environmental legislation, unprecedented levels of investment and changing expectations from customers means that this is an exciting time to discover opportunities within the water industry. The IT function is a key part of how we plan to meet the changing expectations of customers and regulators. Were looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks, and aligning with our enterprise-wide transformation strategy. In this pivotal role, youll act as a subject matter expert across the business, guiding senior stakeholders and leading by example in evidence-based decision-making. Youll design and optimise decision models, foster a culture of technical excellence, and ensure continuous improvement through governance, coaching, and best practice. This is a unique opportunity to shape how data drives performance, sustainability, and innovation across Yorkshire Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping to steer the strategic direction of Data at YW Prioritise and deliver data solutions aligned to business needs using teams' ways-of-working Translate complex data into actionable insights that drive performance and transformation Lead technical excellence through governance, assurance and coaching across the team Actively supporting the professional development of data scientists Support the business and data science leadership by triaging and undertaking reactive tasks to reduce ODI pressure Communicate complex outputs clearly to non-technical stakeholders using visualisation tools and storytelling Develop and maintain advanced modelling skills in Python, R, SQL, and cloud platforms Align solutions with data strategy and wider transformation programmes Horizon scan and embed emerging technologies like AI, Digital Twins, and Open Data Represent Yorkshire Water in cross-sector innovation and academic communities What skills & qualifications you will need: Degree in a numerate subject (e.g. Mathematics, Statistics) Proven experience in statistical analysis and data science, ideally within the water industry or similar sectors Strong programming skills in Python, R, and SQL Experience working with cloud platforms (e.g. Azure, AWS) Knowledge of data engineering, manipulation, and pipeline development Familiarity with technical assurance, QA, and model performance evaluation Strong communication and stakeholder engagement skills, including with senior leadership High standards of integrity and ethics Microsoft Azure certifications or equivalent Experience in water, wastewater, utilities, or manufacturing sectors Understanding of asset management principles Experience with Agile delivery methodologies Although we operate 24 hours a day, 365 days a year, its important to us that we support flexible working patterns and job share options (when we can), to help you make the best of both your work and home life. We know that juggling childcare responsibilities or getting that ideal work/life balance isnt always easy! Do we sound like your cup of tea? If youve got experience in Data Science and want to help us deliver great service for our customers whilst looking after the environment, then be sure to apply today to find out what a career with Yorkshire Water can offer you. If successful for the role, you will be required to undergo pre-employment checks that will include a Basic Disclosure Check, carried out through a Third-Party Company, prior to commencing employment. Depending on the role, you may also be required to go through the security vetting process for either a Counter Terrorist Check or Security Check clearance. All our roles are subject to a medical questionnaire, and further medicals when required. We are committed to removing barriers and ensuring our recruitment process is accessible to everyone. We offer a range of adjustments to make your application experience as comfortable and straightforward as possible. If you have an accessibility need, disability, or condition that requires changes to the recruitment process, please include this information in your application. We will then discuss any reasonable adjustments required. The closing date for this role is the 17th June 2026. Kelda Group reserve the right to close this position before the published closing date, should the need occur. We therefore advise that you complete and submit your application as soon as possible. No agencies please. ? JBRP1_UKTJ
