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ocadogroup# Data EngineerHatfield · REMOTEFree account · 30 seconds## About the roleData Engineer (Modelling & Transformation)| Hybrid Working | Hatfield Introduction: We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology.### About the RoleAs a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision-making across the entire organisation. Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers .### Key ResponsibilitiesResponsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products. Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions. Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs. Develop and maintain reusable data transformation logic using modern software engineering best practices. Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability. Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets. Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience. Participate in code reviews and actively contribute to continuous improvements in team engineering standards. Produce clear documentation and foster knowledge sharing across the data engineering craft. What We're Looking For: Essential Proven### experiencedeveloping ELT/ETL pipelines and working with data transformation frameworks such as dbt. Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages. Hands-on### experienceusing Git and CI/CD workflows. Strong analytical, problem-solving, and clear communication skills with a collaborative mindset. Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical### experience. Solid understanding of core data concepts, including data storage, transformation, and analysis. Nice to Haves Practical### experiencewriting Python for data engineering workloads .### Experienceworking with modern cloud data warehouses, ideally Google BigQuery. Practical understanding of dimensional data modelling principles .### Experienceusing tools in our tech stack such as Airflow, Terraform, or Grafana. Previous### experienceworking within Agile delivery teams .### BenefitsWe believe in supporting our people with meaningful, flexible### benefitsthat prioritise well-being and work-life balance. Here's a snapshot of what you can expect: Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world. Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance. Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets. Commuter### perksCycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations. Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive### work environment. If you have any support or access### requirements, we encourage you to advise us at the time of application. #LI-HYBRID #LI-JT1 Find more English Speaking Jobs in United Kingdom on Arbeitnow## Skills this role needsNot yet in DeepCamp: digital\therapeutics talent\ai\_tools #J-18808-Ljbffr

Ready to lead quality analysis that helps bring life-changing treatments to the world? Join our client at the forefront of pharmaceutical innovation and make a difference! Proclinical is recruiting for a dedicated Quality Analyst to support the digital transformation journey of a manufacturing site, focusing on implementing and maintaining IT systems that align with GMP regulations. This role will primarily involve working with Quality Systems such as LIMS, CDS, and other QC equipment applications, while also supporting broader manufacturing IT needs. You will collaborate with cross‑functional teams, including business stakeholders, IT colleagues, and external vendors, to deliver effective solutions and ensure ongoing system compliance and optimization. Please note that to be considered for this role you must have the right to work in this location or hold an EU passport. • Implement and maintain IT systems and processes in line with GMP regulations, focusing on Quality Systems (e.g., LIMS, CDS, QC equipment applications)., • Provide day‑to‑day IT support, including issue resolution, system changes, and service optimization., • Manage IT requests via the ticketing system and ensure timely responses., • Facilitate deviation and CAPA management, ensuring regulatory compliance and continuous improvement., • Author and update validation documentation, IT data processes, and other compliance‑related materials., • Support audits and inspections related to IT quality and regulatory compliance., • Collect business requirements and translate them into solution specifications., • Participate in application design discussions and ensure adherence to established standards., • Lead or support validation activities for IT systems and software applications., • Conduct testing and implementation of new applications, ensuring cybersecurity compliance., • Identify opportunities for process improvements and implement strategic changes to enhance operational efficiency., • Stay updated on industry trends, regulatory changes, and best practices related to Quality Systems and Smart Labs., • Contribute to smart factory initiatives and collaborate with other teams as needed., • Background in computer science, information systems, or equivalent experience in a regulated environment., • Experience supporting pharmaceutical quality and manufacturing systems., • Knowledge of system lifecycle management and computer systems validation (CSV), preferably GAMP5., • Hands‑on experience with LIMS, CDS, and Quality Systems., • Familiarity with ITILv4 and project management principles., • Proficiency in SQL, data management, and analytics is advantageous., • Strong problem‑solving skills and attention to detail., • Excellent communication skills, with the ability to explain technical concepts to non‑technical colleagues., • Collaborative mindset and willingness to work closely with Quality and other business teams., • Self‑starter with the ability to manage multiple projects simultaneously. #J-18808-Ljbffr

What will I be doing? Champion modern technology product development & deployment processes and procedures, adhering to IT protocol for digital solutions architecture, following best practices of scalability, security, error handling, monitoring, post go live monitoring and support Designing robust solutions to deliver a great member experience using hybrid-cloud and mobile first approach Accountable for maintaining digital architectural landscape within DL IT landscape Accountable for design blueprints of the entire digital landscape Responsible for relevant touch points in the DL architectural landscape Ensure solution fits data journeys - full end to end thinking Collaborating with business stakeholders, IT Design team and all vendors involved Work with IT Design/Secure Team to ensure broader solution architecture goals are being met Provide technical solution designs by taking into consideration business requirements, industry best practices, models, frameworks and security/compliance Ensure solutions are designed to be compliant with data protection, information, security and PCI standards Manage the Digital architecture works pipeline closely liaising with POD Heads & Project Managers Collaborate with PODs (BA/Product Owner/PM) and the vendor architects to produce design blueprints, considering full end-to-end processes / data flows / security / business processes / reporting and impacts to operations and members Agree with the PODs and IT Programme Management team the scope of works for the POD and IT Project in order to deliver the complete solution Provide digital requirement definition support - collaborating with Digital Business Analysts during (to educate) and after (to draft solutions) request capture, in order to understand functional, technical, reporting, and user experience requirements Collaborate closely with the Digital Data Architect to understand the impact of data demands and volumes on existing infrastructure capacity/scale and data interfaces Embrace/embed 'security by design' principles for all Digital design Clearly communicate design solution options to business owners in order to seek design approval Oversee formal approvals process for technical design of Digital products - hand to Security & Legal, Support for formal sign off Chair monthly Digital Architecture Review Board Attend weekly Digital/IT Architecture meeting Follow principles that allow for multiple option design thinking Design full end to end test plans including Load & Performance stress points Validate development and testing work carried out by third-party vendors to meet the design requirements Input to solution cost estimates to ensure accurate budgeting Produce, manage and keep up to date all Digital designs, architecture, policy and specification documentation Working jointly with the Digital Data Architect, prepare documentation/work closely with IT support team on handover to support tasks Adhere to design principles and DL security standards in all design works Ensure landscape is fit for purpose and identify areas of optimisation required: infrastructure and architecture review, identify technical debt, capacity planning, environment management, review incident trends and automation Join critical P1s or major incidents to assist with troubleshooting scenarios (when/where relevant) Work with Director of Digital Engineering to refine digital technology strategy for David Lloyd Digital Develop Digital architecture/technology roadmaps Represent Digital Architecture at the IT Change Advisory Board How will I be measured? Digital pod team deliverables start and finish on time with minimal solution/technology barriers No design/architecture related escalations to Director of Digital Engineering and Head of Design & Data Digital Solutions Architect is the go to for all Digital IT architecture queries - seen as knowledgeable and able to provide the complete apps, data and infrastructure view point For all new service introductions/enhancements in infrastructure/apps/data: no service issues are generated due to design flaws Service optimisation delivered & or service optimisation papers that are approved All solution designs are approved within SLA 360 feedback including from vendors - is supportive of the role and the incumbent is seen to be expert in the field of Digital solution architecture All Digital/IT management meetings, Digital Architecture Review Board, CAB are attended What qualifications, skills and experience do I need? Ability to work in a multi-speed organisation, and coordinate the different moving parts required to deliver new functionality Experience in dealing with and prioritising the requests of multiple stakeholders Experience overseeing modern development processes, including: Native mobile app development, Back-end microservices development (Java, NodeJS), IaC approaches to infrastructure provisioning (Terraform/Terraform Cloud) Systems design/architecture experience, particularly in modernisation/Digital Transformation projects Diverse solutions architecture experience covering modern cloud infrastructure, modern technology & legacy systems Background in dev ops, engineering, infrastructure AS code Degree in Computer Science or a technology-related field Experienced in applying commercial judgement to ensure recommendations are in line with budgets Comfortable with documenting and communicating the model used to understand the enterprise, system, application, and network through a series of viewpoints Strong influencing and engagement skills Skills in presentation, communication, facilitation Adept at working collaboratively both within the Digital & IT functions and across the broader business teams as well as with a diverse set of 3rd party vendors Desirable Agile application development Key behaviours Pragmatic creative, agile, can do, option generator, energetic, self-motivated , sense of ownership Communicates complex IT solutions & concepts in plain easy to understand language Must have skill: with multiple-PODs potentially running, must have the ability to work across multiple design requirements Able to juggle project priorities and stakeholders Collaborative working, one team culture, supportive: no idea is a bad idea Stay abreast of latest tech innovations Think holistically to understand how our technology and solutions impact member/team member/club experience TPBN1_UKTJ

We have an exciting opportunity for a Product Manager to be part of our exciting Observability and Incident Management Team, which impacts every part of our core technology and the highly experienced technology and product teams who use them. You will play a pivotal role in our journey to influence both the technical and cultural strategy across our channels. Supporting teams to gain the insight they need to make data driven decisions that directly impact our brand, our bottom line and overall colleagues and customer experience. You will be responsible for shaping the culture and driving the roadmap for how colleagues will interact with observability data in future, utilising AI to reduce the toil and cost of maintaining system reliability, and contributing to reducing the impact of technology incidents. As a Product Manager you will also ensure AI is utilised to improve observability outcomes and for shaping the agentic approach that underpins it — driving faster detection, diagnosis and resolution of technology incidents. Ultimately, we are solving problems to ensure groceries are delivered to stores, colleagues can do their jobs and customers have a great experience whenever interacting with Tesco. If you’re a Product Manager that’s customer focused, thrives with hard problems, loves a fast-moving environment, and wants to make a real difference to our colleagues across the globe then Engage with stakeholders and Lead Product Manager to formulate the AI assisted strategy and long-term roadmap and execute it well by constantly managing the stakeholders expectations, working through dependencies across multiple products/ teams Understand key user personas, customers & stakeholders for my product and their pain points Effectively document and explain new requirements to the engineering team using user stories, personas, and acceptance tests and help the team in breaking down a complex piece of work/ epic into smaller, deliverable chunks of value that can be delivered faster Steer sprint/ release planning sessions by working with my delivery counterparts to plan sprints/ releases that deliver maximum business value in least effort Lead discovery work around minimum viable product (MVP) for any new product/feature, collaborating with delivery teams to prototype and validate the MVP Drive experiments against defined hypotheses, create MVPs towards robust data-driven decisions on product improvements and their influence on product performance indicators Interpersonal and leadership skills: Collaboration and cross functional alignment Ability to work with diverse teams including engineering, operations, product and leadership Skilled at mediating between conflicting priorities and driving consensus User-centric approach Empathy for end users (developers, operators), ensuring solutions are intuitive and effective Change Management Experience in leading initiatives that introduce new processes, concepts and tools Ability to drive adoption of observability practices within the organization Influence and advocacy serve as a champion for observability, fostering a culture the proactive monitoring and reliability Technical Skills: Understanding observability concepts: strong grasp of the observability pillars - logs, metrics, traces familiarity with distributed systems, microservices and their challenges Experience with Observability tools: Hands on knowledge of tools like New Relic, Splunk, Grafana, VM and Open Telemetry Exposure to trends in observability frameworks and standards. Engineering experience: Ability to collaborate with engineering, understanding their points and translate into product needs. Familiarity with software development lifecycles, CICD and DevOps. Exposure to APIs, Backend Apps. Data Analysis: Ability to interpret patterns, anomalies and opportunities from complex sets of data. Understanding of AI concepts Knowledge of LLMs, agentic AI Experience scaling AI-driven products Preferred Background: Min 2 years of Product management experience. Technical education: degrees in computer science, engineering or equivalent experience Having proven success in working on unstructured problems, defining hypothesis, creating MVPs, running experiments and analysing results to drive data-driven decisions. Understanding how observability impacts business like availability/reliability, customer Satisfaction and business impact. Prior experience in observability proven track record in building and managing observability systems. Prioritisation and decision-making skills demonstrating how these have taken into account business priorities, complexity, dependencies and value. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. When you join us in this role, you'll be employed by Tesco Stores Limited, the Tesco legal entity responsible for your employment. #J-18808-Ljbffr

We have an exciting opportunity for a Product Manager to be part of our exciting Observability and Incident Management Team, which impacts every part of our core technology and the highly experienced technology and product teams who use them. You will play a pivotal role in our journey to influence both the technical and cultural strategy across our channels. Supporting teams to gain the insight they need to make data driven decisions that directly impact our brand, our bottom line and overall colleagues and customer experience. You will be responsible for shaping the culture and driving the roadmap for how colleagues will interact with observability data in future, utilising AI to reduce the toil and cost of maintaining system reliability, and contributing to reducing the impact of technology incidents. As a Product Manager you will also ensure AI is utilised to improve observability outcomes and for shaping the agentic approach that underpins it — driving faster detection, diagnosis and resolution of technology incidents. Ultimately, we are solving problems to ensure groceries are delivered to stores, colleagues can do their jobs and customers have a great experience whenever interacting with Tesco. If you’re a Product Manager that’s customer focused, thrives with hard problems, loves a fast-moving environment, and wants to make a real difference to our colleagues across the globe then please get in touch. Engage with stakeholders and Lead Product Manager to formulate the AI assisted strategy and long-term roadmap and execute it well by constantly managing the stakeholders expectations, working through dependencies across multiple products/ teams Understand key user personas, customers & stakeholders for my product and their pain points Effectively document and explain new requirements to the engineering team using user stories, personas, and acceptance tests and help the team in breaking down a complex piece of work/ epic into smaller, deliverable chunks of value that can be delivered faster Steer sprint/ release planning sessions by working with my delivery counterparts to plan sprints/ releases that deliver maximum business value in least effort Lead discovery work around minimum viable product (MVP) for any new product/feature, collaborating with delivery teams to prototype and validate the MVP Drive experiments against defined hypotheses, create MVPs towards robust data-driven decisions on product improvements and their influence on product performance indicators Interpersonal and leadership skills: Collaboration and cross functional alignment Ability to work with diverse teams including engineering, operations, product and leadership Skilled at mediating between conflicting priorities and driving consensus User-centric approach Empathy for end users (developers, operators), ensuring solutions are intuitive and effective Change Management Experience in leading initiatives that introduce new processes, concepts and tools Ability to drive adoption of observability practices within the organization Influence and advocacy serve as a champion for observability, fostering a culture the proactive monitoring and reliability Technical Skills: Understanding observability concepts: strong grasp of the observability pillars - logs, metrics, traces familiarity with distributed systems, microservices and their challenges Experience with Observability tools: Hands on knowledge of tools like New Relic, Splunk, Grafana, VM and Open Telemetry Exposure to trends in observability frameworks and standards. Engineering experience: Ability to collaborate with engineering, understanding their points and translate into product needs. Familiarity with software development lifecycles, CICD and DevOps. Exposure to APIs, Backend Apps. Data Analysis: Ability to interpret patterns, anomalies and opportunities from complex sets of data. Understanding of AI concepts Knowledge of LLMs, agentic AI Experience scaling AI-driven products Preferred Background: Min 2 years of Product management experience. Technical education: degrees in computer science, engineering or equivalent experience Having proven success in working on unstructured problems, defining hypothesis, creating MVPs, running experiments and analysing results to drive data-driven decisions. Understanding how observability impacts business like availability/reliability, customer Satisfaction and business impact. Prior experience in observability proven track record in building and managing observability systems. Prioritisation and decision-making skills demonstrating how these have taken into account business priorities, complexity, dependencies and value. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application,click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.When you join us in this role, you'll be employed by Tesco Stores Limited, the Tesco legal entity responsible for your employment. #J-18808-Ljbffr

Introduction: We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting‑edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. About the Role: As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision‑making across the entire organisation. Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks. You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers. Key Responsibilities: • Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products., • Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions., • Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs., • Develop and maintain reusable data transformation logic using modern software engineering best practices., • Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability., • Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets., • Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience., • Participate in code reviews and actively contribute to continuous improvements in team engineering standards., • Produce clear documentation and foster knowledge sharing across the data engineering craft. What We’re Looking For: • Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt., • Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages., • Hands-on experience using Git and CI/CD workflows., • Strong analytical, problem-solving, and clear communication skills with a collaborative mindset., • Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical experience., • Solid understanding of core data concepts, including data storage, transformation, and analysis. Nice to Haves • Practical experience writing Python for data engineering workloads., • Experience working with modern cloud data warehouses, ideally Google BigQuery., • Practical understanding of dimensional data modelling principles., • Experience using tools in our tech stack such as Airflow, Terraform, or Grafana., • Previous experience working within Agile delivery teams. We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here's a snapshot of what you can expect: • 25 days annual leave (rising to 27 after 5 years), plus the option to buy more - and 30 days a year to work from anywhere in the world., • Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance., • 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave, • Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest‑free loans for train tickets., • Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations., • 15% off at Ocado.com with free delivery (starting in your first month). Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier‑free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application. #LI-HYBRID #LI-JT1 Can't find what you're looking for or not ready for a move? Join our Talent Community to stay up to date with Ocado Group news and events, you'll also be the first to know about new opportunities - before they are posted. #J-18808-Ljbffr

This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Senior Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. A core component of the role is applying, modifying, and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary focus will be forecasting and related statistical or probabilistic modelling, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment. Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. Finally, as a Senior Data Scientist, you will be expected to drive innovation and take ownership of aspects of project development, support the Lead Data Scientist and Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. • Designing and improving forecasting and statistical modelling solutions for large-scale retail and business time series., • Blending data from multiple sources to explain historic behaviour and generate forward-looking predictions and scenarios., • Building robust training, validation and backtesting pipelines, including time-aware evaluation, leakage controls and stability checks., • Applying best practices for productionisation, including monitoring, retraining strategies, and performance and cost considerations., • Collaborating closely with engineering, product and business partners to ensure models are reliable, scalable and deliver measurable business value. We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis or broader forecasting and probabilistic/statistical modelling. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project and stakeholder management experience is preferred. An ideal candidate will have a scientific mindset with the ability to ask the right questions, as well as answer them. A strong numerical higher degree in a mathematical, scientific, engineering, economics or computer science discipline is preferable, as well as a solid understanding of mathematics and statistical principles. Meaningful academic or industrial work involving forecasting or probabilistic/statistical modelling is required. This includes experience blending data from different sources to explain historic behaviour and produce forward-looking predictions and scenarios. We particularly value experience in modelling risk or volatility, econometrics, or other types of modelling that support strategic, multi-year decision making. Experience in areas such as scenario modelling, uncertainty quantification, causal analysis, or long-range planning is a plus. Finally, strong programming skills are essential (Python is preferred) as well as familiarity with software engineering best practices (such as version control, unit testing and CI/CD) and big data and cloud technologies (PySpark preferred). Experience developing and deploying models in cloud environments is a strong advantage. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. When you join us in this role, you'll be employed by Tesco Stores Limited, the Tesco legal entity responsible for your employment. #J-18808-Ljbffr

At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work extends across multiple areas including physical stores, online, finance, and supply chain. The Data Science team works across several domains and problem types: forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise; knowledge‑sharing events are held regularly. Furthermore, we offer a great work‑life balance, regular team days and a relaxed yet engaging culture. This is a hands‑on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. A core component of the role is applying, modifying and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary modelling focus will be neural network‑based forecasting, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment. Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non‑experts. Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. Finally, as a Data Scientist, you will be expected to drive innovation and take ownership of aspects of the project development, support the Lead Data Scientist and Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will; • Design and improve deep learning and related machine learning forecasting models for large‑scale retail time series., • Build robust training and backtesting pipelines (time‑aware CV, leakage controls, stability checks)., • Apply best practices for productionisation (monitoring, retraining strategies, performance and cost considerations)., • Collaborate closely with engineering, product, and business partners to ensure models are reliable, scalable, and deliver measurable business value. We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project and stakeholder management experience is preferred. An ideal candidate will have a scientific mindset with the ability to ask the right questions, as well as answer them. A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, as well as a solid understanding of mathematics and statistical principles. Meaningful academic or industrial work involving deep learning or related machine learning techniques for time series forecasting is required. This includes experience with neural network architectures for forecasting (for example sequence models, temporal convolutional approaches, transformer‑style models, or related methods). Experience with probabilistic forecasting, hierarchical forecasting, or representation learning for time series is a plus. Finally, strong programming skills are essential (Python is preferred) as well as familiarity with software engineering best practices (such as version control, unit testing, CI/CD) and big data and cloud technologies (PySpark preferred). Experience training and deploying deep learning models in cloud environments (including GPU‑enabled workflows) is a strong advantage. We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. • Annual bonus scheme of up to 20% of base salary., • Holiday starting at 25 days plus a personal day (plus Bank holidays)., • Private medical insurance., • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave., • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing., • This information is a shortened summary, refer to our policies for full details. Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. We’re a big business and we can offer a range of diverse full‑time & part‑time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern – combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you. Everyone is welcome at Tesco. #J-18808-Ljbffr

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. This role is based in Data Management, a core function within Product Development Data Sciences (PDD). We lead the industry in speed and efficiency across all data management responsibilities. We achieve this through the development of tools, automation, and the adoption of cutting-edge technologies that streamline clinical trial data collection and delivery. As trusted partners in end-to-end drug development, Data Management leverages deep expertise in cross-therapeutic area data modalities to lead and influence clinical trial data strategy across Roche. We balance the need for high-quality outputs with fit-for-purpose data collection, enabling faster, more efficient trials that support timely decision-making and accelerate the delivery of new medicines to patients. The Data Manager (DM) plays a critical role in ensuring the quality, integrity, and availability of clinical trial data to support decision-making in early and late-stage drug development. Working closely with Biostatistics, Analytical Data Science, and cross-functional partners, the Data Manager leads the design, implementation, and oversight of data management activities across one or more studies. This includes database setup, data cleaning, query resolution, and vendor oversight, with a strong emphasis on regulatory compliance, efficiency, and data readiness for analysis. The role requires both technical acumen and collaborative leadership to anticipate challenges, drive process improvements, and enable high-quality data delivery across the clinical portfolio. You support data management activities on clinical studies by generating and interpreting metrics related to CRF review, data entry check review, and query management under supervision You apply foundational knowledge of clinical data systems and standards (e.g., CDISC) to ensure consistency and accuracy in data collection You follow established procedures and use judgment to resolve routine data issues with moderate guidance You understand study protocols, data flows, and team objectives to contribute effectively to assigned tasks You communicate data issues clearly to internal team members and external vendors in straightforward situations You share learnings and emerging best practices with peers to support team development You apply independent judgment to solve moderately complex data issues, interpret guidance, prioritize responsibilities, and seek guidance in situations that require contextual understanding You adhere to functional standards, participating in peer review or mentoring relationships to uphold quality while building expertise in data management methodology. • You hold a Bachelor’s (or Master’s) degree in computer science, life sciences, statistics, informatics, or a related field, • You have a minimum of 2-4 years of experience in clinical data management or a related function, or an advanced degree with 0-2 years of equivalent work experience, • You have a foundational understanding of clinical trial data and the drug development process, • You are familiar with clinical data systems (e.g., EDC), Excel, and basic query logic, • You demonstrate strong attention to detail and organizational skills, • You demonstrate critical thinking and a willingness to learn, • You are an effective communicator, able to work collaboratively in team settings, • You demonstrate respect for cultural differences when interacting with colleagues in the global workplace, • Internship or academic experience in clinical trials, data science, or informatics, • Exposure to CDISC standards (e.g., SDTM) or basic programming (SAS, R), • Understanding of different data types (labs, eCOA, imaging), • Growth mindset with curiosity about how data drives drug development, • Familiarity with common clinical data tools or platforms (e.g., Medidata RAVE) This position is based in Welwyn Relocation Assistance is not available A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche. #J-18808-Ljbffr

📌 Senior Network Support Engineer | Cisco 📌 Professional Development + Health & Wellbeing Programme + Flexible Benefits Eligibility for Security Clearance (SC) and Police Personnel Vetting (PPV3) is required. Applicants must have a minimum of 5 consecutive years' UK residency or working history. When the most complex data network faults land on the desk, you're the person who resolves them. This is a high-visibility third line position at the technical heart of a large-scale enterprise connectivity operation, diagnosing and fixing the hardest MPLS, SD-WAN, and Cisco network faults in a demanding, SLA-driven environment where your expertise genuinely matters. One of Europe's leading enterprise connectivity businesses, serving over a million business customers internationally across sectors including enterprise, government, and public services. Operating at this scale means the technical challenges are real, the infrastructure is complex, and the career development opportunities are exceptional. This is a business that invests in its people and gives talented engineers the visibility and progression they deserve. You'll join a specialist third line faults team as the primary escalation point for complex data network service issues. Your work centres on diagnosing and resolving faults across large-scale enterprise WAN environments - including MPLS and SD-WAN, using advanced tooling and deep technical knowledge. You'll collaborate across technical teams, liaise with senior management to communicate findings, and contribute to continuous service improvement. This isn't a passive support role. You'll proactively identify fault patterns, stay ahead of developments across Cisco, Palo Alto, Fortinet, Aruba, and Juniper platforms, and take ownership of driving service quality in a high-stakes environment. Career progression and internal visibility are genuine and built into the fabric of this team. • Proven experience in data network engineering, network service assurance, or a comparable 3rd line technical role, • CCNP certification or active progress toward it (preferred), • Solid working knowledge of MPLS and SD-WAN technologies, • Multi-vendor WAN experience across Palo Alto, Fortinet, Aruba, or Juniper, • Experience in service desk or tiered support environments (1st, 2nd, and/or 3rd line), • Eligibility for Security Clearance (SC) and Police Personnel Vetting (PPV3), • Bachelor's degree in Computer Science, IT, or a related field, • Familiarity with ITIL or structured service management frameworks, • Resolve third line data network faults within agreed SLAs as the primary technical escalation point, • Diagnose and troubleshoot complex network issues using advanced diagnostic tools and deep domain expertise, • Maintain expert-level knowledge of enterprise WAN architectures including MPLS and SD-WAN, • Collaborate with service desk and engineering teams to elevate and close incidents effectively, • Liaise with senior management to communicate technical findings and support service improvement initiatives, • Stay current with emerging WAN technologies and vendor developments across Cisco, Palo Alto, Fortinet, Aruba, and Juniper, • Maintain compliance with security protocols and fulfil SC clearance and PPV3 requirements, • Technical Depth - Ability to diagnose and resolve complex, low-level network faults in high-pressure, SLA-driven environments without relying on scripts or playbooks, • Stakeholder Communication - Confidence to translate complex technical findings into clear, actionable language for senior management and non-technical audiences, • Collaborative Working - Proven track record of coordinating across multi-team environments, sharing knowledge and driving incident resolution under pressure, • Improvement Mindset - Proactive approach to identifying fault patterns and contributing to lasting improvements in network service quality, • Performance-based bonus, • Professional development and training opportunities, • Flexible working arrangements, • Comprehensive health and wellbeing programme #J-18808-Ljbffr

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Advances in AI, data and computational sciences are transforming drug discovery and development — and we're at the forefront. As part of Roche's Computational Sciences Center of Excellence, our Data and Digital Catalyst organisation modernises and connects scientific and data ecosystems across Research and Early Development. Within our Solutions team in Welwyn, you'll build robust, scalable applications, agents and data pipelines that empower scientists, enable AI/ML, and accelerate the development of life-changing medicines. The Opportunity Deliver technical excellence by building robust scientific software solutions, data flows, and pipelines across key domains including Research Biology, Drug Discovery, and Translational Medicine. Innovate with impact by applying Open Source, Cloud-First, API-First, and AI-First methodologies to complex problem-solving. Drive continuous growth by sharpening your software engineering skills and building scalable data ecosystems using microservices, event-driven design, and layered architecture. Collaborate across disciplines by working closely with scientists, Data Engineers, Product Leaders, and Tech/ML Ops to ensure seamless interoperability and system integration. Enable advanced analytics by integrating diverse datasets to power AI/ML use cases, search functionality, and data visualization. You are passionate about building scalable, reliable systems that unlock the potential of scientific data. You thrive at the intersection of engineering and science, and you bring both technical depth and collaborative energy to everything you do. A degree in Computer Science or similar technical field with experience in software engineering Full stack development experience — front end and/or back end Exposure to databases, APIs and cloud-native architectures A track record of designing reliable, scalable, performant and secure data applications Strong communication skills and a passion for technical and product excellence Preferred Domain knowledge in biology, chemistry, drug discovery or translational medicine Experience with AI/ML integration and model deployment Passion for building usable products to support the needs of the users A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche. #J-18808-Ljbffr

Version 1 has celebrated over 26 years in the IT industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. using these we ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. We are seeking a skilled Python Developer with experience in the trading domain and FIX protocol to join our dynamic team. The ideal candidate will have a, strong background in software development, a deep understanding of trading systems, and expertise in the Financial Information Exchange (FIX) protocol. Develop, maintain, and enhance trading applications using Python. Collaborate with traders, quants, and other stakeholders to gather requirements and deliver high-quality software solutions. Optimize and troubleshoot trading algorithms and systems to ensure high performance and reliability. Participate in code reviews, testing, and deployment processes to ensure code quality and stability. Bachelor s degree in computer science, Engineering, or a related field. Proven experience for more than 6+ years as a Python Developer in the trading domain. Experience with trading systems, market data, and order management systems. Proficiency in Python programming and related frameworks/libraries. Familiarity with databases (SQL and NoSQL) and data structures. At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth. #J-18808-Ljbffr

The Tesco Data Science team are looking for a Simulation Data Scientist to use simulation to help solve challenging problems across the business and our supply chain from supplier to shelf. At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. You will develop and connect simulation models to help Tesco understand, evaluate and improve operations, including supply chain, and assess proposed changes before implementation. Working with experienced colleagues, you will contribute to distributed simulations that bring together models of different processes and systems, developing awareness of relevant interoperability standards and approaches. You will build models at different levels of fidelity, learning to choose the appropriate detail for the business question, available data and computing needs. The role will involve using operational data and scenario experiments to validate models, explore trade-offs and inform decisions. Follow agile delivery methods and contribute to continuous integration and delivery practices, including version control, automated testing and repeatable deployment, to help maintain reliable simulation tools. The position will be based in our Welwyn Garden City campus. • Working with colleagues to understand operational problems and agree what a simulation needs to represent, test and measure., • Building and maintaining simulation models using Python and relevant tools, drawing on simulation and data science skills., • Creating models at different levels of detail, with guidance on choosing an approach that balances accuracy, available data and computing needs., • Helping connect models so they can run together and exchange information, including across different tools or computers in distributed or federated simulation environments., • Developing awareness of the standards and approaches used to connect simulations and applying them with support from experienced colleagues., • Preparing and analysing operational data to set up models, identify gaps and represent real-world variation., • Checking that models work as intended and comparing their results with real-world data and feedback from operational experts., • Running repeatable experiments to assess proposed operational changes, including supply chain scenarios, and compare effects on capacity, cost, service and resource use., • Explaining findings clearly, including the assumptions made, uncertainty in results and limitations of the models., • Working in an agile team to plan and deliver tasks in manageable steps, respond to feedback and raise issues early., • Writing clear, maintainable code and contributing to code reviews, version control, automated testing and reliable software releases., • Taking responsibility for agreed tasks, asking for support when needed and developing technical skills., • Python programming, with the ability to write clear, structured and testable code., • Simulation modelling and an understanding of how to represent real-world processes at different levels of detail., • Data analysis and basic statistics to prepare model inputs, understand variation and interpret results., • An understanding of how separate models or software components can exchange data and work together., • Familiarity with version control, such as Git, and an awareness of automated testing and software delivery practices., • The ability to explain technical work clearly, document assumptions and work collaboratively., • An organised approach to solving problems, learning new methods and delivering tasks in an agile team., • Building or adapting simulation models, or using object oriented programming and data science methods to investigate real-world problems., • Working with data to develop, test or evaluate models and communicate findings., • A background in a quantitative subject, such as engineering, computer science, mathematics, physics, operational research, or equivalent practical experience., • Experience connecting simulations or working in distributed or federated environments would be particularly valuable., • Exposure to simulation interoperability standards, models with different levels of detail, or automated testing and deployment would be useful but is not essential. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. When you join us in this role, you'll be employed by Tesco Stores Limited, the Tesco legal entity responsible for your employment. #J-18808-Ljbffr

• Champion modern technology product development & deployment processes and procedures, adhering to IT protocol for digital solutions architecture, following best practices of scalability, security, error handling, monitoring, post go live monitoring and support, • Designing robust solutions to deliver a great member experience using hybrid-cloud and mobile first approach, • Accountable for maintaining digital architectural landscape within DL IT landscape, • Accountable for design blueprints of the entire digital landscape, • Responsible for relevant touch points in the DL architectural landscape, • Ensure solution fits data journeys - full end to end thinking, • Collaborating with business stakeholders, IT Design team and all vendors involved, • Work with IT Design/Secure Team to ensure broader solution architecture goals are being met, • Provide technical solution designs by taking into consideration business requirements, industry best practices, models, frameworks and security/compliance, • Ensure solutions are designed to be compliant with data protection, information, security and PCI standards, • Manage the Digital architecture works pipeline closely liaising with POD Heads & Project Managers, • Collaborate with PODs (BA/Product Owner/PM) and the vendor architects to produce design blueprints, considering full end-to-end processes / data flows / security / business processes / reporting and impacts to operations and members, • Agree with the PODs and IT Programme Management team the scope of works for the POD and IT Project in order to deliver the complete solution, • Provide digital requirement definition support - collaborating with Digital Business Analysts during (to educate) and after (to draft solutions) request capture, in order to understand functional, technical, reporting, and user experience requirements, • Collaborate closely with the Digital Data Architect to understand the impact of data demands and volumes on existing infrastructure capacity/scale and data interfaces, • Embrace/embed 'security by design' principles for all Digital design, • Clearly communicate design solution options to business owners in order to seek design approval, • Oversee formal approvals process for technical design of Digital products - hand to Security & Legal, Support for formal sign off, • Chair monthly Digital Architecture Review Board, • Attend weekly Digital/IT Architecture meeting, • Follow principles that allow for multiple option design thinking, • Design full end to end test plans including Load & Performance stress points, • Validate development and testing work carried out by third-party vendors to meet the design requirements, • Input to solution cost estimates to ensure accurate budgeting, • Produce, manage and keep up to date all Digital designs, architecture, policy and specification documentation, • Working jointly with the Digital Data Architect, prepare documentation/work closely with IT support team on handover to support tasks, • Adhere to design principles and DL security standards in all design works, • Ensure landscape is fit for purpose and identify areas of optimisation required: infrastructure and architecture review, identify technical debt, capacity planning, environment management, review incident trends and automation, • Join critical P1s or major incidents to assist with troubleshooting scenarios (when/where relevant), • Work with Director of Digital Engineering to refine digital technology strategy for David Lloyd Digital, • Develop Digital architecture/technology roadmaps, • Represent Digital Architecture at the IT Change Advisory Board Digital pod team deliverables start and finish on time with minimal solution/technology barriers No design/architecture related escalations to Director of Digital Engineering and Head of Design & Data Digital Solutions Architect is the go to for all Digital IT architecture queries - seen as knowledgeable and able to provide the complete apps, data and infrastructure view point For all new service introductions/enhancements in infrastructure/apps/data: no service issues are generated due to design flaws Service optimisation delivered &or service optimisation papers that are approved All solution designs are approved within SLA 360 feedback including from vendors - is supportive of the role and the incumbent is seen to be expert in the field of Digital solution architecture All Digital/IT management meetings, Digital Architecture Review Board, CAB are attended • Ability to work in a multi-speed organisation, and coordinate the different moving parts required to deliver new functionality, • Experience in dealing with and prioritising the requests of multiple stakeholders, • Experience overseeing modern development processes, including: Native mobile app development, Back-end microservices development (Java, NodeJS), IaC approaches to infrastructure provisioning (Terraform/Terraform Cloud), • Systems design/architecture experience, particularly in modernisation/Digital Transformation projects, • Diverse solutions architecture experience covering modern cloud infrastructure, modern technology & legacy systems, • Background in dev ops, engineering, infrastructure AS code, • Degree in Computer Science or a technology-related field, • Experienced in applying commercial judgement to ensure recommendations are in line with budgets, • Comfortable with documenting and communicating the model used to understand the enterprise, system, application, and network through a series of viewpoints, • Strong influencing and engagement skills, • Skills in presentation, communication, facilitation, • Adept at working collaboratively both within the Digital & IT functions and across the broader business teams as well as with a diverse set of 3rd party vendors Agile application development • Pragmatic creative, agile, can do, option generator, energetic, self-motivated , sense of ownership, • Communicates complex IT solutions & concepts in plain easy to understand language, • Must have skill: with multiple-PODs potentially running, must have the ability to work across multiple design requirements, • Able to juggle project priorities and stakeholders, • Collaborative working, one team culture, supportive: no idea is a bad idea, • Stay abreast of latest tech innovations, • Think holistically to understand how our technology and solutions impact member/team member/club experience #J-18808-Ljbffr

At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work extends across multiple areas including physical stores, online, finance, and supply chain. The Data Science team works across several domains and problem types: forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise; knowledge-sharing events are held regularly. Furthermore, we offer a great work-life balance, regular team days and a relaxed yet engaging culture. This is a hands‑on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. A core component of the role is applying, modifying and designing algorithms and mathematical models to solve business problems using big data architectures (Hadoop, Spark, Cloud). In this role, your primary modelling focus will be neural network‑based forecasting, with a strong emphasis on rigorous evaluation against robust baselines, careful validation, and scalable deployment. Our Data Scientists must be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non‑experts. Data Scientists are also responsible for promoting data science across Tesco and representing Tesco across the external Data Science community. Finally, as a Data Scientist, you will be expected to drive innovation and take ownership of aspects of the project development, support the Lead Data Scientist and Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will; • Design and improve deep learning and related machine learning forecasting models for large‑scale retail time series., • Build robust training and backtesting pipelines (time‑aware CV, leakage controls, stability checks)., • Apply best practices for productionisation (monitoring, retraining strategies, performance and cost considerations)., • Collaborate closely with engineering, product, and business partners to ensure models are reliable, scalable, and deliver measurable business value. We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis. A proven track record of designing and modifying advanced algorithms and applying them to large data sets is essential. Some project and stakeholder management experience is preferred. An ideal candidate will have a scientific mindset with the ability to ask the right questions, as well as answer them. A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, as well as a solid understanding of mathematics and statistical principles. Meaningful academic or industrial work involving deep learning or related machine learning techniques for time series forecasting is required. This includes experience with neural network architectures for forecasting (for example sequence models, temporal convolutional approaches, transformer‑style models, or related methods). Experience with probabilistic forecasting, hierarchical forecasting, or representation learning for time series is a plus. Finally, strong programming skills are essential (Python is preferred) as well as familiarity with software engineering best practices (such as version control, unit testing, CI/CD) and big data and cloud technologies (PySpark preferred). Experience training and deploying deep learning models in cloud environments (including GPU‑enabled workflows) is a strong advantage. Our vision at Tesco is to become every customer’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We’re a big business and we can offer a range of diverse full‑time & part‑time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco. #J-18808-Ljbffr

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Engineering - AI Enablement group, within Roche's Computational Sciences Center of Excellence, exists to make AI/ML an everyday utility for the scientists driving drug discovery. As a Senior Machine Learning Engineer, you will build, own, and continuously improve the scalable AI/ML systems, applications, and data infrastructure that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments. You will work across a cross-functional ecosystem of computational and research scientists, AI/ML experts, product leaders, and DevOps engineers, spanning the stack to deliver high-impact scientific solutions. This role is based in Welwyn, with onsite working three days per week. Relocation support is not available. You design, develop, and test robust, scalable, and maintainable AI/ML-facing scientific web applications and backend systems. You build tools to evaluate AI/ML model performance and establish new ways to understand and measure AI quality. You partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications and robust architectures. You develop and maintain data systems for collecting, structuring, and storing diverse scientific data that powers advanced analytics, machine learning, and other data-driven initiatives. You implement, adopt, and evaluate new AI/ML algorithms and analytical techniques. You shape how we build contributing to architectural decisions, code reviews, and the evolution of our development processes and tech stack. You span the stack building, owning, and continuously improving systems, and contributing where needed beyond your core area of expertise. You bring a strong technical foundation with a Master's or PhD in Computer Science or a related technical field (or equivalent experience) and established professional experience in machine learning engineering. You have deep ML expertise with expert knowledge of statistics, machine learning theory, and algorithms, and strong proficiency across AI/ML frameworks, libraries, and tools. You optimise for performance and scale with strong knowledge of ML performance optimization and GPU best practices, and hands-on experience of Kubernetes, relational and NoSQL databases or data lakes, and cloud-native architectures in public clouds (ideally AWS). You practise engineering excellence applying proven engineering best practices and building trusted partnerships with internal and external collaborators. You are an excellent communicator and continuous learner who quickly acquires new technologies and languages, and communicates with clarity across scientific, engineering, and product disciplines. • Experience with imaging or biological data and processes., • Experience working with scientists or in a research environment., • Experience with workflow automation, GenAI, and/or agents. A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. #J-18808-Ljbffr

Role: Senior Data Manager Location: Welwyn Garden City, Hybrid - 2-3 days per week in the office Hours: Full-time Contract: 6 months, Outside IR35 Pay: £37.76 - £42.28 per hour PAYE basic excluding holiday pay or £50 - £56 per hour LTD/Umbrella An excellent opportunity has arisen for a Senior Data Manager to join one of our longstanding clients, a leading global healthcare organisation, in Welwyn Garden City. This is a senior clinical data management position responsible for ensuring the quality, integrity and availability of clinical trial data across one or more studies, working closely with Biostatistics, Data Science, Clinical Operations and other cross-functional teams. • 25 days holiday plus Bank Holidays, • Hybrid working, with 2-3 days per week in the office, • Free on-site parking, • 6-month contract, Outside IR35, • Opportunity to work within a leading global healthcare organisation, • Exposure to global clinical trials and innovative data technologies, • Minimum 5 years' clinical data management experience, or an advanced degree with 3 years' equivalent experience, • Bachelor's or Master's degree in Life Sciences, Computer Science, Statistics, Informatics or a related discipline, • Hands-on experience managing data for clinical trials, • Experience with CRF design and query resolution, • Working knowledge of EDC systems and data standards such as CDISC, • Good understanding of clinical data types and how they relate to analysis, • Familiarity with risk-based monitoring or data quality metrics, • Ability to work independently and manage multiple priorities, • SAS, R or Python knowledge would be advantageous, • Early-phase or adaptive study experience would be beneficial, • Independently manage end-to-end data management across one or more clinical studies, • Oversee activities from CRF and database design through to final study closure, • Work with Biostatistics, Data Science and Clinical teams to define data specifications, • Support the selection and oversight of data-related vendors, • Drive timely data entry and query resolution, • Resolve complex clinical data issues across systems including EDC, ePRO and IRT, • Review and improve study-level data processes, • Ensure third-party vendor deliverables meet regulatory and quality requirements, • Support high-quality data delivery and readiness for analysis, • Share technical expertise and contribute to continuous improvement across the wider team #J-18808-Ljbffr

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

Why Join? Full-time, permanent position January 2027 start, with April potentially negotiable Lead and develop Computer Science across the school Opportunity to shape the curriculum and direction of the subject Excellent CPD and professional development opportunities Established Sixth Form and stron

Strong secondary Computer Science teaching experience Excellent subject knowledge Experience teaching Computing/Computer Science at KS3 and KS4; KS5 desirable Strong organisational and leadership skills A passion for developing students' digital and computational thinking The confidence to lead a su

Seeking a Computer Science Teacher for a long-term contract in Stoke-on-Trent, starting September 2026.

Seeking a motivated and experienced Computer Science Teacher for a school in Thanet. Responsibilities include teaching computer science to students.

Seeking a Head of Computer Science to lead and shape the subject in a secondary school, develop curriculum, and support another teacher.

Term time teachers are looking for a highly experienced computer science teacher to join a strong computer science department in Tonbridge. Position: Computer Science TeacherLocation: Tonbridge Employment Type: Permanent Start Date: September 2026. Plan, deliver, and assess engaging Computer Science

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

The National Autistic Society is committed to safeguarding and promoting the welfare of all children and adults who use our services.Successful applicants will be required to complete the relevant safeguarding checks.The National Autistic Society helps create a world that works for autistic people,

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

This store is designed for ease and enjoyment — a space where customers can pop in, pick up their favourite doughnuts, or perch for a quick break.It’s simple, stylish, and full of feel-good moments — and now, it could be where your career takes off.As a team member, you’ll be the friendly fa

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

Directly reports to the General Manager.As a Cleaner for our Quick Service Restaurant (QSR), you will play a crucial role in maintaining cleanliness and hygiene standards to ensure a pleasant dining experience for our customers.You will be responsible for cleaning various areas of the restaurant, in

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.