Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
07/05/2026
Full time
Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.
Senior Data Scientist page is loaded Senior Data Scientistremote type: Hybridlocations: Edinburgh, GB: London, GBtime type: Full timeposted on: Posted Todayjob requisition id: JR2773Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments.Now, with the world's energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected.By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead.Wood Mackenzie Intelligence Connected Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Job Description The Senior Data Scientist will play a pivotal leadership role in building AI-native capabilities for both Synoptic, Wood Mackenzie's AI-first innovation unit, and the broader Energy & Natural Resources consulting portfolio. This role will be a core contributor in the development of cross-domain AI systems, knowledge-graph-powered analytics, and advanced forecasting models that support high-impact commercial workflows such as portfolio scenario analysis, M&A intelligence, forecasting, and energy transition planning. Main responsibilities Working in the central machine learning department, you will be collaborating with our product, data, research, modelling, data science and engineering teams and reporting to the head of Applied AI. You will drive revenue growth by expanding our capabilities, assets and end-to-end AI solutions. Responsibilities will include: Build machine learning and forecasting models supporting cross-commodity scenario analysis, energy transition planning, and strategic investment decision making Work closely with embedded SMEs to encode domain knowledge into machine-readable structures that enable causal reasoning across global energy systems Conduct exploratory analysis across large-scale, high-dimensional datasets spanning commodities, assets, infrastructure, and markets Collaborate with engineers to design and implement scalable data pipelines and model deployment workflows Support consulting engagements by developing analytical models, running simulations, and generating insight-rich deliverables Work with product and research teams to validate models with early users and iteratively improve model performance Document modelling approaches, contribute to code quality and standards, and participate in internal technical reviewsWe are a hybrid working company and the successful applicant will be expected to be present in the office at least two days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future.Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones. Key Skills & Experience You will be passionate about solving complex customer problems and bringing great products to market. Essential Skills 5+ years of experience applying machine learning or statistical modelling to real-world datasets Strong experience with Python and ML libraries (e.g., scikit-learn, PyTorch, XGBoost) Experience working with complex, multi-domain or high-dimensional datasets Demonstrated ability to work in cross-functional teams with engineers, analysts, and domain experts Strong analytical thinking and problem-solving skills Preferred Skills Understanding of energy markets, asset modelling, or related analytical domains Experience in consulting or client-facing analysis is advantageous Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.
07/05/2026
Full time
Senior Data Scientist page is loaded Senior Data Scientistremote type: Hybridlocations: Edinburgh, GB: London, GBtime type: Full timeposted on: Posted Todayjob requisition id: JR2773Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments.Now, with the world's energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected.By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead.Wood Mackenzie Intelligence Connected Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Job Description The Senior Data Scientist will play a pivotal leadership role in building AI-native capabilities for both Synoptic, Wood Mackenzie's AI-first innovation unit, and the broader Energy & Natural Resources consulting portfolio. This role will be a core contributor in the development of cross-domain AI systems, knowledge-graph-powered analytics, and advanced forecasting models that support high-impact commercial workflows such as portfolio scenario analysis, M&A intelligence, forecasting, and energy transition planning. Main responsibilities Working in the central machine learning department, you will be collaborating with our product, data, research, modelling, data science and engineering teams and reporting to the head of Applied AI. You will drive revenue growth by expanding our capabilities, assets and end-to-end AI solutions. Responsibilities will include: Build machine learning and forecasting models supporting cross-commodity scenario analysis, energy transition planning, and strategic investment decision making Work closely with embedded SMEs to encode domain knowledge into machine-readable structures that enable causal reasoning across global energy systems Conduct exploratory analysis across large-scale, high-dimensional datasets spanning commodities, assets, infrastructure, and markets Collaborate with engineers to design and implement scalable data pipelines and model deployment workflows Support consulting engagements by developing analytical models, running simulations, and generating insight-rich deliverables Work with product and research teams to validate models with early users and iteratively improve model performance Document modelling approaches, contribute to code quality and standards, and participate in internal technical reviewsWe are a hybrid working company and the successful applicant will be expected to be present in the office at least two days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future.Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones. Key Skills & Experience You will be passionate about solving complex customer problems and bringing great products to market. Essential Skills 5+ years of experience applying machine learning or statistical modelling to real-world datasets Strong experience with Python and ML libraries (e.g., scikit-learn, PyTorch, XGBoost) Experience working with complex, multi-domain or high-dimensional datasets Demonstrated ability to work in cross-functional teams with engineers, analysts, and domain experts Strong analytical thinking and problem-solving skills Preferred Skills Understanding of energy markets, asset modelling, or related analytical domains Experience in consulting or client-facing analysis is advantageous Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.
Locations Sainsbury's Supermarkets Ltd, London, Greater London, EC1M 6HA, GB Closing Date 05/04/2026, 10:49 AM Full Time or Part Time Full time Contract Type Permanent Advertised Salary Competitive Plus Benefits The Technology Manager is central to business-critical transformation of technology delivery and achieving Sainsbury's business strategy, working at the heart of a complex matrix operating model spanning internal teams, offshore partners, and strategic technology organisations. Responsible for assuring technology service and delivery provision for Data Engineering, managing the performance of external partners providing engineering and BAU services, and driving financial accountability for the data domain. This role business partners at senior level, ensures fit-for-purpose, secure, efficient data products and applications, and drives continuous improvement in technical processes to deliver value early and often while maximising value for money across contracts and services. What I am accountable for Contribute to data strategies for respective products and functional areas, working closely with Data Architecture, Engineering Teams, and Product Management to ensure alignment with business objectives and data technology principles. Partner with Product Managers and Data Science teams to ensure delivery of data engineering services that meet analytical, reporting, and ML requirements, balancing business needs with technical feasibility and operational constraints. Ensure data pipelines are delivered in accordance with Sainsbury's Tech guidelines, data governance standards, and technology principles, evolving these based on requirements and learnings from delivery. Input into overall data roadmaps, ensuring data solutions fit with business strategy and agenda and that all initiatives have clear and appropriate action plans covering data ingestion, transformation, quality, and access. Leadership Drive a culture of personal accountability and ownership across direct contributions and external offshore Data Engineering teams, ensuring high performance, data quality standards, and delivery excellence. All companies listed above are subsidiaries of J Sainsbury plc (185647) Coach offshore data engineering teams to understand the rationale for technical approaches in data architecture and pipeline design, surfacing and dealing with ambiguity and conflicting demands, escalating appropriately to resolve prioritization conflicts. Build collaborative relationships with Data Scientists, Data Analysts, Business Intelligence teams, service providers, suppliers, and wider Sainsbury's Tech colleagues to ensure data services meet required standards and expectations. Engage and influence at all levels, partnering with data teams and business stakeholders to maintain and evolve a strong service mindset focused on data quality, accessibility, and business value. Influence brilliantly through timely communication of relevant information up to Director level, translating complex data engineering and technical issues to meet the demands of diverse audiences. Make decisions with ambiguous or incomplete information, exercising judgment in the absence of clear guidelines and frameworks while managing data-related risks appropriately. Manage small budget, ensuring financial discipline across both change and run activities for data platforms, tracking spend against forecasts and business cases. Support Procurement and Supplier Management on supplier selection processes for data engineering partners, establishing and managing ongoing relationships with selected suppliers and ensuring offshore Data Engineering teams deliver against third-party obligations. Intervene and mitigate potential financial or contractual issues with data engineering partners, ensuring commercial risks are identified early and managed proactively with appropriate stakeholder involvement. Technical Assurance Work alongside Product, Data Architecture, Data Engineering, and third-party suppliers to identify key risks and issues early in delivery, building sensible mitigation approaches and securing stakeholder support where necessary. Act as key point of contact for Data Engineering, BAU, third-party managed data solutions, and vendors, ensuring clear communication and coordination across the data engineering domain. Engage with data engineering technical detail when needed, understanding the data platform landscape including data ingestion, transformation (DBT), orchestration (Airflow), streaming (Kafka), and data warehousing (Snowflake), and able to articulate technical choices and trade-offs to different stakeholders. Work at both conceptual and detailed levels in data architecture and engineering, prepared to get into technical and commercial specifics while maintaining strategic perspective on data service delivery. Ensure data quality and governance standards are maintained across offshore delivery, implementing appropriate testing, validation, and quality assurance processes for data pipelines and platforms. Delivery Assurance Culturally embed a methodology for delivering high-quality data engineering services across the relevant domain, ensuring consistent approaches, standards, and data quality practices. Use sound judgment to focus on the most critical and impactful data initiatives, making best use of available offshore and internal resources and prioritising effectively across competing demands. Review acceptance of data solutions into BAU support, ensuring appropriate readiness, data quality validation, documentation, and operational capability before transition. All companies listed above are subsidiaries of J Sainsbury plc (185647) Approve changes to data platforms and pipelines in the live environment, balancing business need with risk management, data integrity, and operational stability. Feed into data rollout and deployment plans, ensuring practical, achievable approaches that minimize risk to data quality and maximize successful adoption. Service and Risk Management Ensure assurance of day-to day running of data engineering services within the Data division and associated operational activities. Conduct regular Service Reviews with offshore data engineering suppliers, driving outputs and actions to closure, holding partners accountable for performance, data quality, and improvement. Support Service Transition processes for new data solutions including knowledge article generation, runbook documentation, and ensuring smooth handover from delivery to operations for data pipelines and platforms. Ensure all Operational Risks related to data platforms are raised, tracked, and reviewed in collaboration with offshore Partners in ServiceNow, maintaining comprehensive risk visibility and management including data quality and governance risks. Drive continuous improvement culture in data engineering by attending post-implementation reviews, ensuring learnings feed through the wider Tech and Data approach to delivery and service management. Support internal and offshore data engineering teams to manage risks, ambiguity, and changing business priorities, ensuring delivery of overall business benefit despite complexity in data requirements and priorities. What I need to know Strong understanding of data engineering technologies including data ingestion, transformation (DBT), orchestration (Airflow/Astronomer). Experience with cloud data platforms (AWS data services, Azure data services) including cost management and optimization Knowledge of data quality frameworks, data governance practices, and metadata management Understanding of data pipeline architecture, ETL/ELT patterns, and data modeling principles Familiarity with infrastructure as code (Terraform) and CI/CD for data platforms (GitHub Actions) Substantial experience in data engineering management roles managing external partners and offshore data engineering teams Proven track record demonstrating strong commercial acumen and financial management Experience identifying continuous improvement in data engineering through innovation or service improvements Proven track record of strong leadership managing offshore data engineering teams inside and outside the organization Ability to coach offshore data engineering teams to make customer-oriented decisions focused on data quality and business value Show initiative to implement new data engineering ideas while taking objective view on what is realistically possible Ability to work independently and proactively. Professional certifications in cloud data platforms Familiarity with data catalog and lineage tools (Alation) Experience with data quality tools and automated testing frameworks for data pipelines All companies listed above are subsidiaries of J Sainsbury plc (185647) Experience managing relationships with specific strategic data engineering partners (TCS, Accenture, etc.) In-depth experience working with large-scale offshore data engineering suppliers in complex, large-scale organizations What I need to show Own it Take full accountability for offshore partner performance, data quality standards, and budget management, ensuring commitments are met and maintaining transparent communication when challenges arise Drive offshore partner accountability, holding data engineering teams responsible for delivery, quality . click apply for full job details
07/05/2026
Full time
Locations Sainsbury's Supermarkets Ltd, London, Greater London, EC1M 6HA, GB Closing Date 05/04/2026, 10:49 AM Full Time or Part Time Full time Contract Type Permanent Advertised Salary Competitive Plus Benefits The Technology Manager is central to business-critical transformation of technology delivery and achieving Sainsbury's business strategy, working at the heart of a complex matrix operating model spanning internal teams, offshore partners, and strategic technology organisations. Responsible for assuring technology service and delivery provision for Data Engineering, managing the performance of external partners providing engineering and BAU services, and driving financial accountability for the data domain. This role business partners at senior level, ensures fit-for-purpose, secure, efficient data products and applications, and drives continuous improvement in technical processes to deliver value early and often while maximising value for money across contracts and services. What I am accountable for Contribute to data strategies for respective products and functional areas, working closely with Data Architecture, Engineering Teams, and Product Management to ensure alignment with business objectives and data technology principles. Partner with Product Managers and Data Science teams to ensure delivery of data engineering services that meet analytical, reporting, and ML requirements, balancing business needs with technical feasibility and operational constraints. Ensure data pipelines are delivered in accordance with Sainsbury's Tech guidelines, data governance standards, and technology principles, evolving these based on requirements and learnings from delivery. Input into overall data roadmaps, ensuring data solutions fit with business strategy and agenda and that all initiatives have clear and appropriate action plans covering data ingestion, transformation, quality, and access. Leadership Drive a culture of personal accountability and ownership across direct contributions and external offshore Data Engineering teams, ensuring high performance, data quality standards, and delivery excellence. All companies listed above are subsidiaries of J Sainsbury plc (185647) Coach offshore data engineering teams to understand the rationale for technical approaches in data architecture and pipeline design, surfacing and dealing with ambiguity and conflicting demands, escalating appropriately to resolve prioritization conflicts. Build collaborative relationships with Data Scientists, Data Analysts, Business Intelligence teams, service providers, suppliers, and wider Sainsbury's Tech colleagues to ensure data services meet required standards and expectations. Engage and influence at all levels, partnering with data teams and business stakeholders to maintain and evolve a strong service mindset focused on data quality, accessibility, and business value. Influence brilliantly through timely communication of relevant information up to Director level, translating complex data engineering and technical issues to meet the demands of diverse audiences. Make decisions with ambiguous or incomplete information, exercising judgment in the absence of clear guidelines and frameworks while managing data-related risks appropriately. Manage small budget, ensuring financial discipline across both change and run activities for data platforms, tracking spend against forecasts and business cases. Support Procurement and Supplier Management on supplier selection processes for data engineering partners, establishing and managing ongoing relationships with selected suppliers and ensuring offshore Data Engineering teams deliver against third-party obligations. Intervene and mitigate potential financial or contractual issues with data engineering partners, ensuring commercial risks are identified early and managed proactively with appropriate stakeholder involvement. Technical Assurance Work alongside Product, Data Architecture, Data Engineering, and third-party suppliers to identify key risks and issues early in delivery, building sensible mitigation approaches and securing stakeholder support where necessary. Act as key point of contact for Data Engineering, BAU, third-party managed data solutions, and vendors, ensuring clear communication and coordination across the data engineering domain. Engage with data engineering technical detail when needed, understanding the data platform landscape including data ingestion, transformation (DBT), orchestration (Airflow), streaming (Kafka), and data warehousing (Snowflake), and able to articulate technical choices and trade-offs to different stakeholders. Work at both conceptual and detailed levels in data architecture and engineering, prepared to get into technical and commercial specifics while maintaining strategic perspective on data service delivery. Ensure data quality and governance standards are maintained across offshore delivery, implementing appropriate testing, validation, and quality assurance processes for data pipelines and platforms. Delivery Assurance Culturally embed a methodology for delivering high-quality data engineering services across the relevant domain, ensuring consistent approaches, standards, and data quality practices. Use sound judgment to focus on the most critical and impactful data initiatives, making best use of available offshore and internal resources and prioritising effectively across competing demands. Review acceptance of data solutions into BAU support, ensuring appropriate readiness, data quality validation, documentation, and operational capability before transition. All companies listed above are subsidiaries of J Sainsbury plc (185647) Approve changes to data platforms and pipelines in the live environment, balancing business need with risk management, data integrity, and operational stability. Feed into data rollout and deployment plans, ensuring practical, achievable approaches that minimize risk to data quality and maximize successful adoption. Service and Risk Management Ensure assurance of day-to day running of data engineering services within the Data division and associated operational activities. Conduct regular Service Reviews with offshore data engineering suppliers, driving outputs and actions to closure, holding partners accountable for performance, data quality, and improvement. Support Service Transition processes for new data solutions including knowledge article generation, runbook documentation, and ensuring smooth handover from delivery to operations for data pipelines and platforms. Ensure all Operational Risks related to data platforms are raised, tracked, and reviewed in collaboration with offshore Partners in ServiceNow, maintaining comprehensive risk visibility and management including data quality and governance risks. Drive continuous improvement culture in data engineering by attending post-implementation reviews, ensuring learnings feed through the wider Tech and Data approach to delivery and service management. Support internal and offshore data engineering teams to manage risks, ambiguity, and changing business priorities, ensuring delivery of overall business benefit despite complexity in data requirements and priorities. What I need to know Strong understanding of data engineering technologies including data ingestion, transformation (DBT), orchestration (Airflow/Astronomer). Experience with cloud data platforms (AWS data services, Azure data services) including cost management and optimization Knowledge of data quality frameworks, data governance practices, and metadata management Understanding of data pipeline architecture, ETL/ELT patterns, and data modeling principles Familiarity with infrastructure as code (Terraform) and CI/CD for data platforms (GitHub Actions) Substantial experience in data engineering management roles managing external partners and offshore data engineering teams Proven track record demonstrating strong commercial acumen and financial management Experience identifying continuous improvement in data engineering through innovation or service improvements Proven track record of strong leadership managing offshore data engineering teams inside and outside the organization Ability to coach offshore data engineering teams to make customer-oriented decisions focused on data quality and business value Show initiative to implement new data engineering ideas while taking objective view on what is realistically possible Ability to work independently and proactively. Professional certifications in cloud data platforms Familiarity with data catalog and lineage tools (Alation) Experience with data quality tools and automated testing frameworks for data pipelines All companies listed above are subsidiaries of J Sainsbury plc (185647) Experience managing relationships with specific strategic data engineering partners (TCS, Accenture, etc.) In-depth experience working with large-scale offshore data engineering suppliers in complex, large-scale organizations What I need to show Own it Take full accountability for offshore partner performance, data quality standards, and budget management, ensuring commitments are met and maintaining transparent communication when challenges arise Drive offshore partner accountability, holding data engineering teams responsible for delivery, quality . click apply for full job details
Senior Data Scientist page is loaded Senior Data Scientistlocations: San Leandro, California, United States of Americatime type: Full timeposted on: Posted 24 Days Agotime left to apply: End Date: September 15, 2025 (7 days left to apply)job requisition id: R011803AVEVA is creating software trusted by over 90% of leading industrial companies. Salary Range: $190,100.00 - $316,900.00 This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. Job Title: Senior Data Scientist Location: San Leandro, CA (Hybrid) Employment Type: full-time The job We are seeking an innovative Data Scientist to join our AI Investigation and Incubation team. This role will support the investigation, incubation, and development of new AI solutions to be incorporated into AVEVA's industrial intelligence offerings. The ideal candidate will have a strong background in machine learning, data science, and industrial applications. Key responsibilities Investigate and recommend AI algorithmic/data science solutions to industrial problems. Collaborate and consult with product teams on the development of new product capabilities. Lead and contribute to investigations and incubations of emerging AI technologies for industrial applications. Collaborate with cross-functional teams to prototype and test AI-driven solutions. Contribute to the design and architecture of scalable data infrastructure and analytics platforms. Essential requirements Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degree preferred. 8+ years of experience in data science or machine learning roles with 3+ years in hands-on AI/ML model development and deployment. Experience in industrial or engineering domains is a plus. Proficiency in Python, SQL, and machine learning libraries. Strong analytical and problem-solving skills. Expertise in AI/ML techniques and best practices, including model evaluation, training/tuning, monitoring, and governance Up-to-date understanding of modern AI technologies including foundation models and agents Familiarity with cloud platforms (AWS, Azure, GCP). Strong ability to translate emerging research into practical solutions. Curious, detail-oriented, and collaborative. Ability to work independently and in a team environment. Experience mentoring junior team members or leading small projects is a plus. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: USA Benefits include: Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well-being support, medical, dental, vision, and 401K.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
07/05/2026
Full time
Senior Data Scientist page is loaded Senior Data Scientistlocations: San Leandro, California, United States of Americatime type: Full timeposted on: Posted 24 Days Agotime left to apply: End Date: September 15, 2025 (7 days left to apply)job requisition id: R011803AVEVA is creating software trusted by over 90% of leading industrial companies. Salary Range: $190,100.00 - $316,900.00 This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. Job Title: Senior Data Scientist Location: San Leandro, CA (Hybrid) Employment Type: full-time The job We are seeking an innovative Data Scientist to join our AI Investigation and Incubation team. This role will support the investigation, incubation, and development of new AI solutions to be incorporated into AVEVA's industrial intelligence offerings. The ideal candidate will have a strong background in machine learning, data science, and industrial applications. Key responsibilities Investigate and recommend AI algorithmic/data science solutions to industrial problems. Collaborate and consult with product teams on the development of new product capabilities. Lead and contribute to investigations and incubations of emerging AI technologies for industrial applications. Collaborate with cross-functional teams to prototype and test AI-driven solutions. Contribute to the design and architecture of scalable data infrastructure and analytics platforms. Essential requirements Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degree preferred. 8+ years of experience in data science or machine learning roles with 3+ years in hands-on AI/ML model development and deployment. Experience in industrial or engineering domains is a plus. Proficiency in Python, SQL, and machine learning libraries. Strong analytical and problem-solving skills. Expertise in AI/ML techniques and best practices, including model evaluation, training/tuning, monitoring, and governance Up-to-date understanding of modern AI technologies including foundation models and agents Familiarity with cloud platforms (AWS, Azure, GCP). Strong ability to translate emerging research into practical solutions. Curious, detail-oriented, and collaborative. Ability to work independently and in a team environment. Experience mentoring junior team members or leading small projects is a plus. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: USA Benefits include: Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well-being support, medical, dental, vision, and 401K.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
About Nivoda Nivoda's growth trajectory has skyrocketed over the past 12 months, and we continue to expand across new regions at an unprecedented pace. Our DNA centers on understanding our customers' needs and offering them a seamless experience. With a growing team based in major cities worldwide, including London, New York, Hong Kong, and Mumbai, Nivoda is becoming the go to marketplace for the global jewelry industry. We are bold, innovative, and relentless in our pursuit of excellence as we transform an industry steeped in tradition. About the Role We are building our data science capability from the ground up, and this is a rare opportunity to be the founding data scientist embedded within our Growth team. You will own the analytical agenda for growth - from onboarding funnel analysis and top-of-funnel acquisition through to activation, product uptake, and revenue expansion - and for delivering insights that drive meaningful business outcomes. This role sits at the intersection of data engineering, experimentation, and growth strategy. You will work autonomously, partnering closely with growth product managers, engineers, and marketing, and you will have the freedom to build the infrastructure and culture of data-driven decision-making. What You'll Do Experimentation & A/B Testing Design, build, and own a robust A/B testing and experimentation framework for the growth function Define metrics, set up holdout groups, run significance tests, and communicate results with clarity to both technical and non-technical stakeholders Identify opportunities for rapid iteration and champion a test-and-learn culture across the growth pod Data Infrastructure & Pipelines Build and maintain scalable data pipelines and databases that support real-time and near-real-time growth analytics Develop ETL pipelines (e.g. Python-based) and ensure reliable, clean data flowing into dashboards and models Collaborate with the Head of Data Engineering to align on tooling, architecture, and best practices Growth Analytics Analyse user behaviour across the full funnel - acquisition channels, onboarding, conversion, engagement, and churn Build models and dashboards that surface actionable insight for the growth and marketing teams Work closely with AI tools and emerging technologies; bring demonstrable experience of AI-native workflows to the team Cross Functional Partnership Act as the primary data partner for growth PMs, engineers, and marketing stakeholders Translate complex analyses into clear narratives and recommendations for senior leadership Over time, help define what a best in class data science function looks like and contribute to building it What You'll Need Master's degree in a quantitative discipline (e.g. Statistics, Computer Science, Mathematics, Engineering) or equivalent practical experience 4 - 6+ years of experience as a data scientist, ideally within a growth pod or growth-focused team at a scale up (Series B through pre IPO) Hands on experience building and running A/B testing frameworks from scratch Strong engineering fundamentals - comfortable building ETL pipelines, data models, and production quality analytical code (Python preferred) Experience working with complex, cross functional data in a fast paced startup or scale up environment AI native: actively using AI tools in your day to day workflow and able to speak to the tangible impact this has had Comfortable operating autonomously with a builder mindset - there is no established data science function to lean on Preferred Qualifications Experience at a marketplace business (two sided platforms with real time supply/demand dynamics) Background as a growth analyst or in a growth PM adjacent role before moving into data science Prior experience working in Series B-D high growth companies where you've had to build, not just maintain What We Offer ️ Flexible working hours and a vibrant company culture Remote work Plenty of opportunities for growth and learning ️ Unlimited holiday allowance Chance to join and contribute to a company during its exponential expansion phase Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don't discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly. This is a full time, permanent position that's remote within Europe. Unfortunately, we are unable to offer sponsorship at this time. If after reading this job description you believe this is not the best fit for you, we'd encourage you to join our Talent Pool so we can keep you in mind as new roles open up. You can sign up here: Nivoda Talent Pool This ensures you're among the first to hear about openings aligned with your skills and interests.
07/05/2026
Full time
About Nivoda Nivoda's growth trajectory has skyrocketed over the past 12 months, and we continue to expand across new regions at an unprecedented pace. Our DNA centers on understanding our customers' needs and offering them a seamless experience. With a growing team based in major cities worldwide, including London, New York, Hong Kong, and Mumbai, Nivoda is becoming the go to marketplace for the global jewelry industry. We are bold, innovative, and relentless in our pursuit of excellence as we transform an industry steeped in tradition. About the Role We are building our data science capability from the ground up, and this is a rare opportunity to be the founding data scientist embedded within our Growth team. You will own the analytical agenda for growth - from onboarding funnel analysis and top-of-funnel acquisition through to activation, product uptake, and revenue expansion - and for delivering insights that drive meaningful business outcomes. This role sits at the intersection of data engineering, experimentation, and growth strategy. You will work autonomously, partnering closely with growth product managers, engineers, and marketing, and you will have the freedom to build the infrastructure and culture of data-driven decision-making. What You'll Do Experimentation & A/B Testing Design, build, and own a robust A/B testing and experimentation framework for the growth function Define metrics, set up holdout groups, run significance tests, and communicate results with clarity to both technical and non-technical stakeholders Identify opportunities for rapid iteration and champion a test-and-learn culture across the growth pod Data Infrastructure & Pipelines Build and maintain scalable data pipelines and databases that support real-time and near-real-time growth analytics Develop ETL pipelines (e.g. Python-based) and ensure reliable, clean data flowing into dashboards and models Collaborate with the Head of Data Engineering to align on tooling, architecture, and best practices Growth Analytics Analyse user behaviour across the full funnel - acquisition channels, onboarding, conversion, engagement, and churn Build models and dashboards that surface actionable insight for the growth and marketing teams Work closely with AI tools and emerging technologies; bring demonstrable experience of AI-native workflows to the team Cross Functional Partnership Act as the primary data partner for growth PMs, engineers, and marketing stakeholders Translate complex analyses into clear narratives and recommendations for senior leadership Over time, help define what a best in class data science function looks like and contribute to building it What You'll Need Master's degree in a quantitative discipline (e.g. Statistics, Computer Science, Mathematics, Engineering) or equivalent practical experience 4 - 6+ years of experience as a data scientist, ideally within a growth pod or growth-focused team at a scale up (Series B through pre IPO) Hands on experience building and running A/B testing frameworks from scratch Strong engineering fundamentals - comfortable building ETL pipelines, data models, and production quality analytical code (Python preferred) Experience working with complex, cross functional data in a fast paced startup or scale up environment AI native: actively using AI tools in your day to day workflow and able to speak to the tangible impact this has had Comfortable operating autonomously with a builder mindset - there is no established data science function to lean on Preferred Qualifications Experience at a marketplace business (two sided platforms with real time supply/demand dynamics) Background as a growth analyst or in a growth PM adjacent role before moving into data science Prior experience working in Series B-D high growth companies where you've had to build, not just maintain What We Offer ️ Flexible working hours and a vibrant company culture Remote work Plenty of opportunities for growth and learning ️ Unlimited holiday allowance Chance to join and contribute to a company during its exponential expansion phase Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don't discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly. This is a full time, permanent position that's remote within Europe. Unfortunately, we are unable to offer sponsorship at this time. If after reading this job description you believe this is not the best fit for you, we'd encourage you to join our Talent Pool so we can keep you in mind as new roles open up. You can sign up here: Nivoda Talent Pool This ensures you're among the first to hear about openings aligned with your skills and interests.
About Spotfire Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire combines visualizations and advanced analytics to allow experts in their field to find industry-specific solutions the human mind or computers can't solve alone. Our more than 10,000 customers include: Majority of the top 10 Energy companies in the world Majority of the top 10 Life Sciences companies in the world 7 of the world's top 10 Manufacturing companies Several other major companies in banking, retail, and airlines We are looking for people with a passion to make a big difference by doing the job they love - dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment. Overview Our Customer Success team is central to our global strategy. Their work enables our clients to quickly create and deploy solutions that drive innovation, optimise operations, offer insight, and drive transformation. Ultimately the team is responsible for enabling our client's competitiveness by accelerating ROI from any data science initiative with products that transform data into insight. Operating across sectors and with a high degree of independence, our data scientists have helped improve performance for F1 teams, improved energy production reliability through advanced statistical modeling, and enhanced product quality and optimized yield by detecting defects, forecasting production issues, and optimizing resource allocation to improve efficiency. We are looking for a Data Scientist to join our team. You are seeking an opportunity to challenge and develop both your knowledge as well as our client's data science capabilities. You will join a team of highly collaborative individuals and will play a key role in developing our capability and establishing Spotfire leadership in the industrial analytics space. Through the content you create and deliver, you will be enabling our partners and customers on their Spotfire skills and will draw together our Spotfire user community. The role is based in the United Kingdom as a remote role. We are open to considering other European locations as well. Responsibilities The job holder will be expected to contribute to the following with varying degrees of priority: Work with customers and partners to understand their education needs for Spotfire, Spotfire Statistica, and Spotfire Data Virtualization. Lead development and maintenance of education content, including online courses and certification materials, for Spotfire, Spotfire Statistica, and Spotfire Data Virtualization. Content will need to be accurate, relevant, and aligned with industry standards. Collaborate with others in the Spotfire Education and Community team to create Dr. Spotfire webinars and Quick Tip videos Manage relationships with IT and external vendors for required software tools. Incorporate feedback from customers and internal staff to improve the effectiveness of educational content and initiatives. Contribute Spotfire learning materials to and Spotfire community. Moderate Spotfire community as it relates to Spotfire enablement. Increase awareness and enable adoption of Spotfire Industry Pro through Spotfire community content creation. Represent the Spotfire team as an instructor in industry events and external conferences. Qualifications 3+ years of experience in data analytics and delivery of demonstrations, projects, engagements, or deployed software applications involving predictive analytics such as machine learning. Ability to understand data and data goals, and find solutions that are appropriate to the task. Exceptional presentation and public speaking skills, with demonstrated experience instructing/training technical concepts to diverse audiences (customers, partners, and at industry events). 3+ years of experience with Python or R, and working knowledge of SQL. Experience with a variety of data science tools, including data visualization platforms (e.g., Spotfire, Tableau) and predictive modeling environments (e.g., KNIME, Matlab). Deep, hands on experience with Spotfire, Spotfire Statistica, and/or Spotfire Data Virtualization is highly desired. Familiarity with Cloud ML platforms (e.g., AzureML, GCP), Big Data tools (e.g., Databricks, Spark, Snowflake), or enterprise data preparation/integration tools (e.g., Data Virtualization, Java, .Net) a plus. A degree in Computer Science, Statistics, Data Science or related analytical field of study, with graduate classes in statistics and data mining. Demonstrated ability to design, develop and maintain technical educational content, including online courses, documentation and video tutorials. Language skills: Business level English; other languages are a plus. Experience moderating and engaging with a technical user community, or proven ability to drive adoption and awareness through content creation (blogs, social media, forums) Please note you must have full working rights for the country you are applying for. If on a work permit or visa, please make sure the details along with expiry date are included on your application About Us: Cloud Software Group is one of the world's largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done - from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap - a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud. Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications. If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via Bridge portal for assistance.
06/05/2026
Full time
About Spotfire Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire combines visualizations and advanced analytics to allow experts in their field to find industry-specific solutions the human mind or computers can't solve alone. Our more than 10,000 customers include: Majority of the top 10 Energy companies in the world Majority of the top 10 Life Sciences companies in the world 7 of the world's top 10 Manufacturing companies Several other major companies in banking, retail, and airlines We are looking for people with a passion to make a big difference by doing the job they love - dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment. Overview Our Customer Success team is central to our global strategy. Their work enables our clients to quickly create and deploy solutions that drive innovation, optimise operations, offer insight, and drive transformation. Ultimately the team is responsible for enabling our client's competitiveness by accelerating ROI from any data science initiative with products that transform data into insight. Operating across sectors and with a high degree of independence, our data scientists have helped improve performance for F1 teams, improved energy production reliability through advanced statistical modeling, and enhanced product quality and optimized yield by detecting defects, forecasting production issues, and optimizing resource allocation to improve efficiency. We are looking for a Data Scientist to join our team. You are seeking an opportunity to challenge and develop both your knowledge as well as our client's data science capabilities. You will join a team of highly collaborative individuals and will play a key role in developing our capability and establishing Spotfire leadership in the industrial analytics space. Through the content you create and deliver, you will be enabling our partners and customers on their Spotfire skills and will draw together our Spotfire user community. The role is based in the United Kingdom as a remote role. We are open to considering other European locations as well. Responsibilities The job holder will be expected to contribute to the following with varying degrees of priority: Work with customers and partners to understand their education needs for Spotfire, Spotfire Statistica, and Spotfire Data Virtualization. Lead development and maintenance of education content, including online courses and certification materials, for Spotfire, Spotfire Statistica, and Spotfire Data Virtualization. Content will need to be accurate, relevant, and aligned with industry standards. Collaborate with others in the Spotfire Education and Community team to create Dr. Spotfire webinars and Quick Tip videos Manage relationships with IT and external vendors for required software tools. Incorporate feedback from customers and internal staff to improve the effectiveness of educational content and initiatives. Contribute Spotfire learning materials to and Spotfire community. Moderate Spotfire community as it relates to Spotfire enablement. Increase awareness and enable adoption of Spotfire Industry Pro through Spotfire community content creation. Represent the Spotfire team as an instructor in industry events and external conferences. Qualifications 3+ years of experience in data analytics and delivery of demonstrations, projects, engagements, or deployed software applications involving predictive analytics such as machine learning. Ability to understand data and data goals, and find solutions that are appropriate to the task. Exceptional presentation and public speaking skills, with demonstrated experience instructing/training technical concepts to diverse audiences (customers, partners, and at industry events). 3+ years of experience with Python or R, and working knowledge of SQL. Experience with a variety of data science tools, including data visualization platforms (e.g., Spotfire, Tableau) and predictive modeling environments (e.g., KNIME, Matlab). Deep, hands on experience with Spotfire, Spotfire Statistica, and/or Spotfire Data Virtualization is highly desired. Familiarity with Cloud ML platforms (e.g., AzureML, GCP), Big Data tools (e.g., Databricks, Spark, Snowflake), or enterprise data preparation/integration tools (e.g., Data Virtualization, Java, .Net) a plus. A degree in Computer Science, Statistics, Data Science or related analytical field of study, with graduate classes in statistics and data mining. Demonstrated ability to design, develop and maintain technical educational content, including online courses, documentation and video tutorials. Language skills: Business level English; other languages are a plus. Experience moderating and engaging with a technical user community, or proven ability to drive adoption and awareness through content creation (blogs, social media, forums) Please note you must have full working rights for the country you are applying for. If on a work permit or visa, please make sure the details along with expiry date are included on your application About Us: Cloud Software Group is one of the world's largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done - from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap - a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud. Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications. If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via Bridge portal for assistance.
Principal Scientist / Associate Scientific Director - Computational Chemistry Job Role: Principal Scientist / Associate Scientific Director - Computational Chemistry Location: Hybrid - home based with regular on site presence in Chapel-en-le Frith Salary: Competitive (depending on experience and scope of leadership) Job type: Permanent, full time (37.5 hrs per week) In this pivotal role, you will apply your computational chemistry expertise to solve complex drug discovery challenges and guide medicinal chemistry programmes for our clients. Working as part of a Private Equity backed, fast growing CRO, you will be central to advancing client projects while helping shape and grow our computational chemistry capability. This role is available at Principal Scientist or Associate Scientific Director level, depending on experience and scope of leadership. What you will be doing Deliver high quality computational chemistry support across drug discovery programmes, from target identification through to clinical candidate nomination Apply structure based and ligand based small molecule drug design methods including docking, QSAR, pharmacophore modelling, virtual screening, MD and QM calculations, to guide medicinal chemistry and solve complex design challenges Provide expert guidance to medicinal chemists and multidisciplinary project teams, integrating computational insight with experimental data Deliver and interpret high quality computational outputs, providing clear, pragmatic recommendations to project teams and clients Work seamlessly with medicinal chemistry, biology, DMPK and safety colleagues as a senior scientific partner Mentor and develop computational chemists, setting high standards for scientific thinking, quality and integrity Contribute to proposals, reports and client interactions, articulating the value of computational chemistry clearly and credibly Maintain the highest standards of scientific integrity and continuously develop your technical knowledge At Associate Scientific Director level, you will also: Shape the strategic direction and growth of the computational chemistry service offering Act as a recognised subject matter expert across the organisation and externally Influence capability development, methodology adoption, and long term service evolution Play a key role in client engagement, proposal strategy, and scientific positioning About you You will hold a PhD in computational chemistry or a closely related discipline You will have significant industrial drug discovery experience within pharma, biotech, or CRO settings You will bring strong expertise in structure based and ligand based small molecule drug design and the practical application of computational tools You will be comfortable working in multidisciplinary project teams and communicating complex science clearly You will be organised, adaptable, and able to deliver across multiple projects in a fast paced environment At Associate Scientific Director level, you will also demonstrate clear scientific leadership, strategic thinking, and service level influence Knowledge of peptide and/or contemporary modality structure based drug design would be an advantage What you will get In addition to a competitive salary, we provide generous holiday entitlement, a pension scheme with enhanced employer contributions, a health cash plan covering a range of therapy treatments, a cycle to work scheme, a retail discount scheme, death in service benefit, a discretionary bonus scheme, and free on site parking. You'll also have access to our BHN Extras platform, offering cashback, discounts, and tech/home purchases via salary sacrifice. Colleague wellbeing is important to us, we offer 24/7 virtual GP access, emotional support services, and a comprehensive wellbeing hub. We're proud of our inclusive, supportive culture and provide a range of learning and development opportunities to help you grow both personally and professionally.
06/05/2026
Full time
Principal Scientist / Associate Scientific Director - Computational Chemistry Job Role: Principal Scientist / Associate Scientific Director - Computational Chemistry Location: Hybrid - home based with regular on site presence in Chapel-en-le Frith Salary: Competitive (depending on experience and scope of leadership) Job type: Permanent, full time (37.5 hrs per week) In this pivotal role, you will apply your computational chemistry expertise to solve complex drug discovery challenges and guide medicinal chemistry programmes for our clients. Working as part of a Private Equity backed, fast growing CRO, you will be central to advancing client projects while helping shape and grow our computational chemistry capability. This role is available at Principal Scientist or Associate Scientific Director level, depending on experience and scope of leadership. What you will be doing Deliver high quality computational chemistry support across drug discovery programmes, from target identification through to clinical candidate nomination Apply structure based and ligand based small molecule drug design methods including docking, QSAR, pharmacophore modelling, virtual screening, MD and QM calculations, to guide medicinal chemistry and solve complex design challenges Provide expert guidance to medicinal chemists and multidisciplinary project teams, integrating computational insight with experimental data Deliver and interpret high quality computational outputs, providing clear, pragmatic recommendations to project teams and clients Work seamlessly with medicinal chemistry, biology, DMPK and safety colleagues as a senior scientific partner Mentor and develop computational chemists, setting high standards for scientific thinking, quality and integrity Contribute to proposals, reports and client interactions, articulating the value of computational chemistry clearly and credibly Maintain the highest standards of scientific integrity and continuously develop your technical knowledge At Associate Scientific Director level, you will also: Shape the strategic direction and growth of the computational chemistry service offering Act as a recognised subject matter expert across the organisation and externally Influence capability development, methodology adoption, and long term service evolution Play a key role in client engagement, proposal strategy, and scientific positioning About you You will hold a PhD in computational chemistry or a closely related discipline You will have significant industrial drug discovery experience within pharma, biotech, or CRO settings You will bring strong expertise in structure based and ligand based small molecule drug design and the practical application of computational tools You will be comfortable working in multidisciplinary project teams and communicating complex science clearly You will be organised, adaptable, and able to deliver across multiple projects in a fast paced environment At Associate Scientific Director level, you will also demonstrate clear scientific leadership, strategic thinking, and service level influence Knowledge of peptide and/or contemporary modality structure based drug design would be an advantage What you will get In addition to a competitive salary, we provide generous holiday entitlement, a pension scheme with enhanced employer contributions, a health cash plan covering a range of therapy treatments, a cycle to work scheme, a retail discount scheme, death in service benefit, a discretionary bonus scheme, and free on site parking. You'll also have access to our BHN Extras platform, offering cashback, discounts, and tech/home purchases via salary sacrifice. Colleague wellbeing is important to us, we offer 24/7 virtual GP access, emotional support services, and a comprehensive wellbeing hub. We're proud of our inclusive, supportive culture and provide a range of learning and development opportunities to help you grow both personally and professionally.
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
05/05/2026
Full time
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
Shape the Future of AI at Forge Holiday Group At Forge Holiday Group, we don't just do holidays, we create memories. With market-leading brands like Sykes Holiday Cottages, Forest Holidays, and Bachcare in New Zealand, we're 1,700+ strong and powered by four values: One Business One Team, Keep it Simple, Grow & Learn, Sustainable Impact. Why This Role Stands Out Innovation: Work hands on with cutting edge AI/ML tools and techniques to deliver real business impact. Leadership: Mentor and collaborate with talented engineers, data scientists, and product teams. Culture: People first, values driven, creativity & integrity at the core. Impact: Shape AI driven solutions that directly improve customer experience and business decisions. About the Role As a Senior AI/ML Engineer, you'll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions, internal insights, and commercial decision making. You'll Own Build and maintain end to end AI/ML pipelines in Microsoft Fabric. Design, train, deploy and monitor machine learning and deep learning models. Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback. Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions. Uphold data quality, governance, security, and responsible AI practices. Evaluate and adopt new tools and technologies to enhance our AI/ML platform. Mentor junior colleagues and foster a culture of innovation and knowledge sharing. What You Need To Know Salary: Up to £80,000 per annum. Team: Work with cross functional teams and mentor junior engineers. Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit learn. Scope: End to end AI/ML solutions for multi product, multi region strategy. Report To: Head of Data Science / CTO. Location: Chester HQ, Hybrid working. Working Pattern: 37.5 hours, Monday to Friday, 9am to 5:30pm. What We're Looking For Essential Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML. Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real Time Analytics) and Azure ML, including MLflow. Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit learn. Strong understanding of data modelling, data governance, security and responsible AI practices. Excellent problem solving skills and the ability to explain technical concepts to varied audiences. Ability to manage priorities and deliver results in a fast paced environment. Desirable Experience with generative AI, large language models (e.g. LangChain, vector databases) and retrieval augmented generation. Knowledge of AutoML, hyperparameter tuning and advanced MLflow features. Experience with streaming and real time data platforms. Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial awareness in e commerce, travel or holiday lettings sectors. Experience mentoring others or leading technical workstreams. About You Curious, innovative and passionate about data and AI. A team player who values collaboration and honest communication. Able to take ownership, work independently and deliver on commitments. Supportive and approachable, with a willingness to share knowledge. Committed to building ethical AI solutions that respect privacy, security and sustainability. Forge Holiday Group Benefits Annual STIP Company wide Bonus Scheme offering up to an additional 10% of your salary through our performance based bonus program. 33 days' holiday (including bank holidays), plus up to 5 extra with long service. Option to purchase extra holiday days if you wish. A day off for your birthday. 2 volunteering days per year. Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay). Pension scheme with employer contributions. Discounted and last minute stays at Forest Holidays and Sykes Cottages for you, your friends & family. Special offers and discounts designed to enhance your overall wellbeing. Health cash plan & life assurance. Training & development opportunities. 24/7 mental health support. On site gym and parking at Chester HQ (near train station). Employee savings scheme. Long service awards and company events. We're committed to diversity and inclusion and encourage you to bring your authentic self. Need adjustments for recruitment? Just ask. Ready to build intelligent AI solutions that drive real impact? Apply now or share with someone exceptional. Forge Holiday Group Ltd Senior (5+ years of experience)
04/05/2026
Full time
Shape the Future of AI at Forge Holiday Group At Forge Holiday Group, we don't just do holidays, we create memories. With market-leading brands like Sykes Holiday Cottages, Forest Holidays, and Bachcare in New Zealand, we're 1,700+ strong and powered by four values: One Business One Team, Keep it Simple, Grow & Learn, Sustainable Impact. Why This Role Stands Out Innovation: Work hands on with cutting edge AI/ML tools and techniques to deliver real business impact. Leadership: Mentor and collaborate with talented engineers, data scientists, and product teams. Culture: People first, values driven, creativity & integrity at the core. Impact: Shape AI driven solutions that directly improve customer experience and business decisions. About the Role As a Senior AI/ML Engineer, you'll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions, internal insights, and commercial decision making. You'll Own Build and maintain end to end AI/ML pipelines in Microsoft Fabric. Design, train, deploy and monitor machine learning and deep learning models. Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback. Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions. Uphold data quality, governance, security, and responsible AI practices. Evaluate and adopt new tools and technologies to enhance our AI/ML platform. Mentor junior colleagues and foster a culture of innovation and knowledge sharing. What You Need To Know Salary: Up to £80,000 per annum. Team: Work with cross functional teams and mentor junior engineers. Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit learn. Scope: End to end AI/ML solutions for multi product, multi region strategy. Report To: Head of Data Science / CTO. Location: Chester HQ, Hybrid working. Working Pattern: 37.5 hours, Monday to Friday, 9am to 5:30pm. What We're Looking For Essential Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML. Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real Time Analytics) and Azure ML, including MLflow. Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit learn. Strong understanding of data modelling, data governance, security and responsible AI practices. Excellent problem solving skills and the ability to explain technical concepts to varied audiences. Ability to manage priorities and deliver results in a fast paced environment. Desirable Experience with generative AI, large language models (e.g. LangChain, vector databases) and retrieval augmented generation. Knowledge of AutoML, hyperparameter tuning and advanced MLflow features. Experience with streaming and real time data platforms. Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial awareness in e commerce, travel or holiday lettings sectors. Experience mentoring others or leading technical workstreams. About You Curious, innovative and passionate about data and AI. A team player who values collaboration and honest communication. Able to take ownership, work independently and deliver on commitments. Supportive and approachable, with a willingness to share knowledge. Committed to building ethical AI solutions that respect privacy, security and sustainability. Forge Holiday Group Benefits Annual STIP Company wide Bonus Scheme offering up to an additional 10% of your salary through our performance based bonus program. 33 days' holiday (including bank holidays), plus up to 5 extra with long service. Option to purchase extra holiday days if you wish. A day off for your birthday. 2 volunteering days per year. Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay). Pension scheme with employer contributions. Discounted and last minute stays at Forest Holidays and Sykes Cottages for you, your friends & family. Special offers and discounts designed to enhance your overall wellbeing. Health cash plan & life assurance. Training & development opportunities. 24/7 mental health support. On site gym and parking at Chester HQ (near train station). Employee savings scheme. Long service awards and company events. We're committed to diversity and inclusion and encourage you to bring your authentic self. Need adjustments for recruitment? Just ask. Ready to build intelligent AI solutions that drive real impact? Apply now or share with someone exceptional. Forge Holiday Group Ltd Senior (5+ years of experience)
Technology Manager - Reporting Platforms Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 06 May 2026 Requisition ID: We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. Technology Manager - Reporting Platforms The Technology Manager is central to business-critical transformation of technology delivery and achieving Sainsbury's business strategy, working at the heart of a complex matrix operating model spanning internal teams, offshore partners, and strategic technology organisations. Responsible for assuring technology service and delivery provision for Data Engineering, managing the performance of external partners providing engineering and BAU services, and driving financial accountability for the data domain. This role business partners at senior level, ensures fit-for-purpose, secure, efficient data products and applications, and drives continuous improvement in technical processes to deliver value early and often while maximising value for money across contracts and services. What I am accountable for: Contribute to data strategies for respective products and functional areas, working closely with Data Architecture, Engineering Teams, and Product Management to ensure alignment with business objectives and data technology principles. Partner with Product Managers and Data Science teams to ensure delivery of data engineering services that meet analytical, reporting, and ML requirements, balancing business needs with technical feasibility and operational constraints. Ensure data pipelines are delivered in accordance with Sainsbury's Tech guidelines, data governance standards, and technology principles, evolving these based on requirements and learnings from delivery. Input into overall data roadmaps, ensuring data solutions fit with business strategy and agenda and that all initiatives have clear and appropriate action plans covering data ingestion, transformation, quality, and access. Leadership Drive a culture of personal accountability and ownership across direct contributions and external offshore Data Engineering teams, ensuring high performance, data quality standards, and delivery excellence. Coach offshore data engineering teams to understand the rationale for technical approaches in data architecture and pipeline design, surfacing and dealing with ambiguity and conflicting demands, escalating appropriately to resolve prioritization conflicts. Build collaborative relationships with Data Scientists, Data Analysts, Business Intelligence teams, service providers, suppliers, and wider Sainsbury's Tech colleagues to ensure data services meet required standards and expectations. Engage and influence at all levels, partnering with data teams and business stakeholders to maintain and evolve a strong service mindset focused on data quality, accessibility, and business value. Influence brilliantly through timely communication of relevant information up to Director level, translating complex data engineering and technical issues to meet the demands of diverse audiences. Make decisions with ambiguous or incomplete information, exercising judgment in the absence of clear guidelines and frameworks while managing data-related risks appropriately. Manage small budget, ensuring financial discipline across both change and run activities for data platforms, tracking spend against forecasts and business cases. Support Procurement and Supplier Management on supplier selection processes for data engineering partners, establishing and managing ongoing relationships with selected suppliers and ensuring offshore Data Engineering teams deliver against third-party obligations. Intervene and mitigate potential financial or contractual issues with data engineering partners, ensuring commercial risks are identified early and managed proactively with appropriate stakeholder involvement. Technical Assurance Work alongside Product, Data Architecture, Data Engineering, and third-party suppliers to identify key risks and issues early in delivery, building sensible mitigation approaches and securing stakeholder support where necessary. Act as key point of contact for Data Engineering, BAU, third-party managed data solutions, and vendors, ensuring clear communication and coordination across the data engineering domain. Engage with data engineering technical detail when needed, understanding the data platform landscape including data ingestion, transformation (DBT), orchestration (Airflow), streaming (Kafka), and data warehousing (Snowflake), and able to articulate technical choices and trade-offs to different stakeholders. Work at both conceptual and detailed levels in data architecture and engineering, prepared to get into technical and commercial specifics while maintaining strategic perspective on data service delivery. Ensure data quality and governance standards are maintained across offshore delivery, implementing appropriate testing, validation, and quality assurance processes for data pipelines and platforms. Delivery Assurance Culturally embed a methodology for delivering high-quality data engineering services across the relevant domain, ensuring consistent approaches, standards, and data quality practices. Use sound judgment to focus on the most critical and impactful data initiatives, making best use of available offshore and internal resources and prioritising effectively across competing demands. Review acceptance of data solutions into BAU support, ensuring appropriate readiness, data quality validation, documentation, and operational capability before transition. Approve changes to data platforms and pipelines in the live environment, balancing business need with risk management, data integrity, and operational stability. Service and Risk Management Ensure assurance of day-to-day running of data engineering services within the Data division and associated operational activities. Conduct regular Service Reviews with offshore data engineering suppliers, driving outputs and actions to closure, holding partners accountable for performance, data quality, and improvement. Support Service Transition processes for new data solutions including knowledge article generation, runbook documentation, and ensuring smooth handover from delivery to operations for data pipelines and platforms. Ensure all Operational Risks related to data platforms are raised, tracked, and reviewed in collaboration with offshore Partners in ServiceNow, maintaining comprehensive risk visibility and management including data quality and governance risks. Drive continuous improvement culture in data engineering by attending post-implementation reviews, ensuring learnings feed through the wider Tech and Data approach to delivery and service management. Support internal and offshore data engineering teams to manage risks, ambiguity, and changing business priorities, ensuring delivery of overall business benefit despite complexity in data requirements and priorities. What I need to know: Strong understanding of data engineering technologies including data ingestion, transformation (DBT), orchestration (Airflow/Astronomer). Experience with cloud data platforms (AWS data services, Azure data services) including cost management and optimization. Knowledge of data quality frameworks, data governance practices, and metadata management. Understanding of data pipeline architecture, ETL/ELT patterns, and data modelling principles. Familiarity with infrastructure as code (Terraform) and CI/CD for data platforms (GitHub Actions). Substantial experience in data engineering management roles managing external partners and offshore data engineering teams. Proven track record demonstrating strong commercial acumen and financial management. Experience identifying continuous improvement in data engineering through innovation or service improvements. Proven track record of strong leadership managing offshore data engineering teams inside and outside the organization. Ability to coach offshore data engineering teams to make customer-oriented decisions focused on data quality and business value. Show initiative to implement new data engineering ideas while taking objective view on what is realistically possible. Ability to work independently and proactively. Professional certifications in cloud data platforms. Familiarity with data catalog and lineage tools (Alation). Experience with data quality tools and automated testing frameworks for data pipelines. Experience managing relationships with specific strategic data engineering partners (TCS, Accenture, etc.). In-depth experience working with large-scale offshore data engineering suppliers in complex, large-scale organization. What I need to show: Own it . click apply for full job details
03/05/2026
Full time
Technology Manager - Reporting Platforms Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 06 May 2026 Requisition ID: We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. Technology Manager - Reporting Platforms The Technology Manager is central to business-critical transformation of technology delivery and achieving Sainsbury's business strategy, working at the heart of a complex matrix operating model spanning internal teams, offshore partners, and strategic technology organisations. Responsible for assuring technology service and delivery provision for Data Engineering, managing the performance of external partners providing engineering and BAU services, and driving financial accountability for the data domain. This role business partners at senior level, ensures fit-for-purpose, secure, efficient data products and applications, and drives continuous improvement in technical processes to deliver value early and often while maximising value for money across contracts and services. What I am accountable for: Contribute to data strategies for respective products and functional areas, working closely with Data Architecture, Engineering Teams, and Product Management to ensure alignment with business objectives and data technology principles. Partner with Product Managers and Data Science teams to ensure delivery of data engineering services that meet analytical, reporting, and ML requirements, balancing business needs with technical feasibility and operational constraints. Ensure data pipelines are delivered in accordance with Sainsbury's Tech guidelines, data governance standards, and technology principles, evolving these based on requirements and learnings from delivery. Input into overall data roadmaps, ensuring data solutions fit with business strategy and agenda and that all initiatives have clear and appropriate action plans covering data ingestion, transformation, quality, and access. Leadership Drive a culture of personal accountability and ownership across direct contributions and external offshore Data Engineering teams, ensuring high performance, data quality standards, and delivery excellence. Coach offshore data engineering teams to understand the rationale for technical approaches in data architecture and pipeline design, surfacing and dealing with ambiguity and conflicting demands, escalating appropriately to resolve prioritization conflicts. Build collaborative relationships with Data Scientists, Data Analysts, Business Intelligence teams, service providers, suppliers, and wider Sainsbury's Tech colleagues to ensure data services meet required standards and expectations. Engage and influence at all levels, partnering with data teams and business stakeholders to maintain and evolve a strong service mindset focused on data quality, accessibility, and business value. Influence brilliantly through timely communication of relevant information up to Director level, translating complex data engineering and technical issues to meet the demands of diverse audiences. Make decisions with ambiguous or incomplete information, exercising judgment in the absence of clear guidelines and frameworks while managing data-related risks appropriately. Manage small budget, ensuring financial discipline across both change and run activities for data platforms, tracking spend against forecasts and business cases. Support Procurement and Supplier Management on supplier selection processes for data engineering partners, establishing and managing ongoing relationships with selected suppliers and ensuring offshore Data Engineering teams deliver against third-party obligations. Intervene and mitigate potential financial or contractual issues with data engineering partners, ensuring commercial risks are identified early and managed proactively with appropriate stakeholder involvement. Technical Assurance Work alongside Product, Data Architecture, Data Engineering, and third-party suppliers to identify key risks and issues early in delivery, building sensible mitigation approaches and securing stakeholder support where necessary. Act as key point of contact for Data Engineering, BAU, third-party managed data solutions, and vendors, ensuring clear communication and coordination across the data engineering domain. Engage with data engineering technical detail when needed, understanding the data platform landscape including data ingestion, transformation (DBT), orchestration (Airflow), streaming (Kafka), and data warehousing (Snowflake), and able to articulate technical choices and trade-offs to different stakeholders. Work at both conceptual and detailed levels in data architecture and engineering, prepared to get into technical and commercial specifics while maintaining strategic perspective on data service delivery. Ensure data quality and governance standards are maintained across offshore delivery, implementing appropriate testing, validation, and quality assurance processes for data pipelines and platforms. Delivery Assurance Culturally embed a methodology for delivering high-quality data engineering services across the relevant domain, ensuring consistent approaches, standards, and data quality practices. Use sound judgment to focus on the most critical and impactful data initiatives, making best use of available offshore and internal resources and prioritising effectively across competing demands. Review acceptance of data solutions into BAU support, ensuring appropriate readiness, data quality validation, documentation, and operational capability before transition. Approve changes to data platforms and pipelines in the live environment, balancing business need with risk management, data integrity, and operational stability. Service and Risk Management Ensure assurance of day-to-day running of data engineering services within the Data division and associated operational activities. Conduct regular Service Reviews with offshore data engineering suppliers, driving outputs and actions to closure, holding partners accountable for performance, data quality, and improvement. Support Service Transition processes for new data solutions including knowledge article generation, runbook documentation, and ensuring smooth handover from delivery to operations for data pipelines and platforms. Ensure all Operational Risks related to data platforms are raised, tracked, and reviewed in collaboration with offshore Partners in ServiceNow, maintaining comprehensive risk visibility and management including data quality and governance risks. Drive continuous improvement culture in data engineering by attending post-implementation reviews, ensuring learnings feed through the wider Tech and Data approach to delivery and service management. Support internal and offshore data engineering teams to manage risks, ambiguity, and changing business priorities, ensuring delivery of overall business benefit despite complexity in data requirements and priorities. What I need to know: Strong understanding of data engineering technologies including data ingestion, transformation (DBT), orchestration (Airflow/Astronomer). Experience with cloud data platforms (AWS data services, Azure data services) including cost management and optimization. Knowledge of data quality frameworks, data governance practices, and metadata management. Understanding of data pipeline architecture, ETL/ELT patterns, and data modelling principles. Familiarity with infrastructure as code (Terraform) and CI/CD for data platforms (GitHub Actions). Substantial experience in data engineering management roles managing external partners and offshore data engineering teams. Proven track record demonstrating strong commercial acumen and financial management. Experience identifying continuous improvement in data engineering through innovation or service improvements. Proven track record of strong leadership managing offshore data engineering teams inside and outside the organization. Ability to coach offshore data engineering teams to make customer-oriented decisions focused on data quality and business value. Show initiative to implement new data engineering ideas while taking objective view on what is realistically possible. Ability to work independently and proactively. Professional certifications in cloud data platforms. Familiarity with data catalog and lineage tools (Alation). Experience with data quality tools and automated testing frameworks for data pipelines. Experience managing relationships with specific strategic data engineering partners (TCS, Accenture, etc.). In-depth experience working with large-scale offshore data engineering suppliers in complex, large-scale organization. What I need to show: Own it . click apply for full job details
Martin Veasey Talent Solutions
Northampton, Northamptonshire
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
29/04/2026
Full time
Senior Machine Learning Data Scientist - Credit Risk 80,000- 120,000 + Bonus + Benefits (Flexibility to 150k DOE) East Midlands (Hybrid Min. 3 days) The Opportunity There are very few roles in the UK market where you can take ownership of a proven, production-grade credit risk model that is already outperforming competitors - and be given the autonomy to evolve it, refine it and directly influence commercial outcomes. This is one of them. This opportunity sits within a high-growth, data-driven financial services environment where machine learning is not theoretical or exploratory - it is embedded at the core of how the business makes decisions. At the centre of this capability is a highly accurate credit risk model, supported by rich, real-world datasets and a continuous feedback loop of internal and external lending outcomes. The model is already delivering strong predictive performance, but the real value lies in how it is developed from here. This opportunity represents a natural evolution of an already successful machine learning capability, offering the chance to take ownership of a proven model and shape its future direction. The Role This is a senior, hands-on data science role focused on credit risk modelling within a commercial lending environment. You will take ownership of the core modelling framework, working directly on probability of default models and broader decisioning logic that underpins lending strategy. The emphasis is on refinement, optimisation and continuous improvement rather than building from scratch. You will be responsible for the intellectual core of the models: Feature engineering across financial, behavioural and transactional data Algorithm selection and tuning (logistic regression, gradient boosting, ensemble methods) Model validation, performance optimisation and ongoing recalibration Ensuring models remain robust in changing economic conditions You will not be responsible for infrastructure, pipelines or deployment. A dedicated engineering team manages AWS and production environments, allowing you to focus on modelling and analytics. This is a highly visible role with direct exposure to senior stakeholders. You will be expected to explain model performance, justify modelling decisions and translate technical outputs into clear commercial insight. The Environment This is a business that understands the value of data but is still at a stage where impact is direct and visible. There is: No large data science hierarchy No separation between thinking and execution No dilution of responsibility across multiple teams You will operate as the central subject matter expert within a collaborative technical environment, with the autonomy to influence both modelling direction and commercial outcomes. Over time, there is a clear pathway to build out a team and evolve into a leadership role. However, the immediate focus is on hands-on ownership and delivery. What This Role Is Not This role will not suit individuals who: Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants to remain close to the detail and take responsibility for outcomes. The Ideal Profile You are a hands-on machine learning data scientist with deep experience in credit risk modelling. You are currently building, refining and optimising models yourself, not delegating that work. You are likely to have developed your career within: SME lending, fintech or banking environments Credit risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial or behavioural datasets You understand how your work impacts: Approval rates Default risk Commercial performance You are comfortable discussing modelling decisions in depth with technical stakeholders, but equally able to simplify complex concepts for non-technical audiences. Qualifications You will typically have a strong academic foundation in a quantitative discipline such as Mathematics, Statistics, Data Science, Engineering, Physics or a closely related field. Many candidates at this level will hold a Master's degree or equivalent advanced qualification, although this is not essential where there is clear evidence of deep practical expertise in credit risk modelling and machine learning. What is critical is a strong grounding in mathematical thinking, statistical modelling and problem solving, combined with the ability to apply that knowledge in a commercial environment. Why This Role Stands Out Ownership of a high-performing, production-grade credit risk model Access to rich, real-world data with continuous feedback loops Direct influence on lending decisions and commercial performance Strong engineering support, allowing full focus on modelling High visibility with senior leadership Clear pathway to future Head of AI / Machine Learning role Opportunity to shape the next phase of a proven data capability Package & Flexibility 80,000- 120,000 base salary Bonus up to 15% Flexibility to 150,000 for exceptional candidates Hybrid working (East Midlands, typically 2-3 days onsite with flexibility)
Head of AI & Machine Learning London (Hybrid - 2 days on-site) £180,000 base + equity + bonus The Opportunity I'm working with one of the UK's most exciting AI scale-ups, a forward-thinking business that's just secured a significant Series B funding round. They're building cutting-edge, applied AI technology that's already making a real impact across industries, and now they're looking for a Head of AI & Machine Learning to lead the next stage of growth. This is a chance to step into a senior leadership role where you'll shape the entire AI strategy and grow and inspire a high-performing team The Role As Head of AI & Machine Learning, you'll sit on the senior leadership team and play a pivotal role in setting the technical direction of the company. This role blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide research and development of advanced machine learning and generative AI solutions. Partner with product and engineering teams to deliver AI-driven features into a rapidly scaling platform. Keep the company ahead of the curve on emerging AI trends and represent them externally as a thought leader. What They're Looking For A proven leader with experience heading up AI/ML teams in a high-growth tech environment. Deep technical expertise across machine learning, deep learning, and ideally generative AI. Strong ability to combine strategy with execution, from setting vision to delivering production-grade AI systems. Excellent stakeholder skills, with experience working closely with product and engineering leaders. A passion for building teams, driving innovation, and scaling applied AI solutions. What's available £180k+ salary with equity upside. Backed by top-tier investors, huge runway for growth. A platform with global ambitions, scaling fast. Hybrid flexibility (2 days a week in central London). RSG Plc is acting as an Employment Agency in relation to this vacancy.
01/10/2025
Full time
Head of AI & Machine Learning London (Hybrid - 2 days on-site) £180,000 base + equity + bonus The Opportunity I'm working with one of the UK's most exciting AI scale-ups, a forward-thinking business that's just secured a significant Series B funding round. They're building cutting-edge, applied AI technology that's already making a real impact across industries, and now they're looking for a Head of AI & Machine Learning to lead the next stage of growth. This is a chance to step into a senior leadership role where you'll shape the entire AI strategy and grow and inspire a high-performing team The Role As Head of AI & Machine Learning, you'll sit on the senior leadership team and play a pivotal role in setting the technical direction of the company. This role blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide research and development of advanced machine learning and generative AI solutions. Partner with product and engineering teams to deliver AI-driven features into a rapidly scaling platform. Keep the company ahead of the curve on emerging AI trends and represent them externally as a thought leader. What They're Looking For A proven leader with experience heading up AI/ML teams in a high-growth tech environment. Deep technical expertise across machine learning, deep learning, and ideally generative AI. Strong ability to combine strategy with execution, from setting vision to delivering production-grade AI systems. Excellent stakeholder skills, with experience working closely with product and engineering leaders. A passion for building teams, driving innovation, and scaling applied AI solutions. What's available £180k+ salary with equity upside. Backed by top-tier investors, huge runway for growth. A platform with global ambitions, scaling fast. Hybrid flexibility (2 days a week in central London). RSG Plc is acting as an Employment Agency in relation to this vacancy.
Role Title: UI UX Lead (GenAI) Location: Glasgow Duration: 30/06/2026 Pay Rate:£450 MUST BE PAYE THROUGH UMBRELLA Role Description: Lead the design and delivery of intuitive, intelligent, and scalable user experiences for data products powered by GenAI, with a strong emphasis on natural language search and data discoverability. You will shape the UX/UI strategy for enterprise-grade tools that enable users to interact with complex data assets through conversational and visual interfaces. The role also demands hands-on development expertise in modern Front End frameworks and API integration to ensure seamless and performant user experiences. Key Responsibilities UX/UI Strategy & Leadership * Define and drive the UX/UI vision for GenAI-enabled data products. * Lead design efforts across multiple product streams, ensuring consistency and usability. * Collaborate with product managers, engineers, and data scientists to align design with business and technical goals. Design & Development Execution * Create wireframes, prototypes, and high-fidelity designs for NLP search interfaces and GenAI-powered workflows. * Develop and implement responsive, accessible, and performant Front End components using React and/or Angular. * Integrate with RESTful APIs and Back End services to enable dynamic data interactions and GenAI capabilities. * Conduct usability testing and iterate designs based on user feedback and analytics. GenAI & NLP Integration * Design interfaces that support natural language interactions, summarisation, and intelligent recommendations. * Collaborate with AI/ML teams to visualise GenAI outputs and integrate them into user workflows. * Translate complex data catalog structures into intuitive user journeys. User Research & Insights * Conduct user interviews, surveys, and behavioural analysis to inform design decisions. * Identify pain points in data discovery and usage, and propose UX solutions to address them. Governance & Standards * Establish design guidelines and reusable components for data products. * Ensure compliance with data privacy, ethical design, and security standards. Required Skills & Experience * Proven experience as a UX/UI Lead or Senior Designer in enterprise environments, with strong understanding of architectural principles and design patterns. * Strong portfolio showcasing design work for data-intensive or AI-powered applications. * Deep understanding of GenAI concepts, especially NLP search and conversational interfaces. * Hands-on development experience with React and/or Angular, including component architecture, state management, and performance optimisation. * Strong knowledge of API integration, including RESTful services, authentication flows, and error handling. * Proficiency in design tools (eg, Figma, Sketch, Adobe XD) and prototyping platforms. * Familiarity with HTML/CSS and Front End development principles. * Experience working in Agile teams and regulated industries (eg, financial services). Desirable Qualifications * Degree in UX/UI Design, Human-Computer Interaction, or related field. * Experience with data catalogues, metadata management, or data governance platforms. * Knowledge of ethical design practices and accessibility standards. * Exposure to GenAI frameworks and tools such as RAISE, vectorisation, and chunking strategies. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
28/08/2025
Contractor
Role Title: UI UX Lead (GenAI) Location: Glasgow Duration: 30/06/2026 Pay Rate:£450 MUST BE PAYE THROUGH UMBRELLA Role Description: Lead the design and delivery of intuitive, intelligent, and scalable user experiences for data products powered by GenAI, with a strong emphasis on natural language search and data discoverability. You will shape the UX/UI strategy for enterprise-grade tools that enable users to interact with complex data assets through conversational and visual interfaces. The role also demands hands-on development expertise in modern Front End frameworks and API integration to ensure seamless and performant user experiences. Key Responsibilities UX/UI Strategy & Leadership * Define and drive the UX/UI vision for GenAI-enabled data products. * Lead design efforts across multiple product streams, ensuring consistency and usability. * Collaborate with product managers, engineers, and data scientists to align design with business and technical goals. Design & Development Execution * Create wireframes, prototypes, and high-fidelity designs for NLP search interfaces and GenAI-powered workflows. * Develop and implement responsive, accessible, and performant Front End components using React and/or Angular. * Integrate with RESTful APIs and Back End services to enable dynamic data interactions and GenAI capabilities. * Conduct usability testing and iterate designs based on user feedback and analytics. GenAI & NLP Integration * Design interfaces that support natural language interactions, summarisation, and intelligent recommendations. * Collaborate with AI/ML teams to visualise GenAI outputs and integrate them into user workflows. * Translate complex data catalog structures into intuitive user journeys. User Research & Insights * Conduct user interviews, surveys, and behavioural analysis to inform design decisions. * Identify pain points in data discovery and usage, and propose UX solutions to address them. Governance & Standards * Establish design guidelines and reusable components for data products. * Ensure compliance with data privacy, ethical design, and security standards. Required Skills & Experience * Proven experience as a UX/UI Lead or Senior Designer in enterprise environments, with strong understanding of architectural principles and design patterns. * Strong portfolio showcasing design work for data-intensive or AI-powered applications. * Deep understanding of GenAI concepts, especially NLP search and conversational interfaces. * Hands-on development experience with React and/or Angular, including component architecture, state management, and performance optimisation. * Strong knowledge of API integration, including RESTful services, authentication flows, and error handling. * Proficiency in design tools (eg, Figma, Sketch, Adobe XD) and prototyping platforms. * Familiarity with HTML/CSS and Front End development principles. * Experience working in Agile teams and regulated industries (eg, financial services). Desirable Qualifications * Degree in UX/UI Design, Human-Computer Interaction, or related field. * Experience with data catalogues, metadata management, or data governance platforms. * Knowledge of ethical design practices and accessibility standards. * Exposure to GenAI frameworks and tools such as RAISE, vectorisation, and chunking strategies. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Are you a sharp, ambitious graduate with a natural commercial instinct, a love of business and 2+ years of client development experience? Looking for a role with real influence, variety and strategic input? This might be exactly what you're looking for. We are on the hunt for a Client Development Executive to play a pivotal role in a growing mid sized consultancy with the spirit of a startup and the brains of a top-tier consultancy. We're looking for a high achiever, you will already have achieved a 2:1 or above in your degree and have a proven track record of business development success in your career so far. The consultancy have a tonne of personality, deep expertise, serious credentials and bags of ambition. With an already enviable client list, you will be working with world class strategists, award winning researchers, mind-blowing data scientists and an exceptionally talented creative team. The opportunities to learn are endless and you'll be highly motivated to make an impact, drive growth and be highly rewarded. You'll work directly with senior leaders to shape and drive the new business strategy, identifying opportunities, building client relationships, and delivering a seamless experience from outreach to contract. This isn't just lead gen, it's about smart thinking, deep market understanding and being part of a business that blends consultancy rigour with creative flair. This is a dynamic, commercial, client facing role with real responsibility from day one. What You'll Do Partner with internal stakeholders to develop and execute targeted business development plans Generate high-quality leads through outreach, insight and proactive networking Manage inbound opportunities, tender portals, and the "Hello" inbox Build relationships with senior prospects and guide them through the sales journey Collaborate closely with the Marketing team on campaigns and content Track, measure and report performance via Salesforce (CRM ownership is key) Support and coordinate strategic events that enhance our market presence What We're Looking For A bright graduate with 2+ years in sales, client development, or commercial roles Ideally experienced in consultancy, marcoms, or a creative agency environment A confident communicator - persuasive, polished, and business-savvy Able to push back and challenge where needed, while maintaining diplomacy and trust Comfortable managing targets and delivering results under pressure Commercially minded, highly organised, and a natural connector of people Hands-on with CRM systems (ideally Salesforce), detail-oriented, and data confident If you are smashing your current client development role, dare we say, slightly bored and are looking for your next move to be your career defining opportunity - this is it! At Fourteen People, we are committed to offering equal opportunities to all candidates regardless of race, religion, gender, sexuality, disability, age or any other protected characteristics. We understand there is still much to be done as we partner with our clients to create and improve robust recruitment processes that will improve diversity equity and inclusion in the workplace. Fourteen People Ltd is acting as an Employment Agency in relation to this vacancy .
22/08/2025
Full time
Are you a sharp, ambitious graduate with a natural commercial instinct, a love of business and 2+ years of client development experience? Looking for a role with real influence, variety and strategic input? This might be exactly what you're looking for. We are on the hunt for a Client Development Executive to play a pivotal role in a growing mid sized consultancy with the spirit of a startup and the brains of a top-tier consultancy. We're looking for a high achiever, you will already have achieved a 2:1 or above in your degree and have a proven track record of business development success in your career so far. The consultancy have a tonne of personality, deep expertise, serious credentials and bags of ambition. With an already enviable client list, you will be working with world class strategists, award winning researchers, mind-blowing data scientists and an exceptionally talented creative team. The opportunities to learn are endless and you'll be highly motivated to make an impact, drive growth and be highly rewarded. You'll work directly with senior leaders to shape and drive the new business strategy, identifying opportunities, building client relationships, and delivering a seamless experience from outreach to contract. This isn't just lead gen, it's about smart thinking, deep market understanding and being part of a business that blends consultancy rigour with creative flair. This is a dynamic, commercial, client facing role with real responsibility from day one. What You'll Do Partner with internal stakeholders to develop and execute targeted business development plans Generate high-quality leads through outreach, insight and proactive networking Manage inbound opportunities, tender portals, and the "Hello" inbox Build relationships with senior prospects and guide them through the sales journey Collaborate closely with the Marketing team on campaigns and content Track, measure and report performance via Salesforce (CRM ownership is key) Support and coordinate strategic events that enhance our market presence What We're Looking For A bright graduate with 2+ years in sales, client development, or commercial roles Ideally experienced in consultancy, marcoms, or a creative agency environment A confident communicator - persuasive, polished, and business-savvy Able to push back and challenge where needed, while maintaining diplomacy and trust Comfortable managing targets and delivering results under pressure Commercially minded, highly organised, and a natural connector of people Hands-on with CRM systems (ideally Salesforce), detail-oriented, and data confident If you are smashing your current client development role, dare we say, slightly bored and are looking for your next move to be your career defining opportunity - this is it! At Fourteen People, we are committed to offering equal opportunities to all candidates regardless of race, religion, gender, sexuality, disability, age or any other protected characteristics. We understand there is still much to be done as we partner with our clients to create and improve robust recruitment processes that will improve diversity equity and inclusion in the workplace. Fourteen People Ltd is acting as an Employment Agency in relation to this vacancy .
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
03/07/2023
Full time
Location
Dstl Porton Down, Salisbury, Wiltshire, SP4 0JQ or Dstl Portsdown West, Fareham, Hampshire, PO17 6AD
About the job
Job summary
Dstl is the science and technology arm of the Ministry of Defence. We improve the front-line capability of the UK Armed Forces helping keep our country safe.
The Cyber Security and Safety Group has never been more important. Many military platforms such as fast jets, unmanned air vehicles, helicopters, naval vessels, and land vehicles are becoming increasingly reliant on Software, Artificial Intelligence (AI) and Autonomous functions to control all aspects of their behaviour.
We’re looking for mathematically strong data scientists to help make AI reliant military systems robust and trustworthy in complex operations to help save lives.
An example of our world class inspiring work is designing and trialling a variety of autonomous air and ground vehicles out in Salisbury plain with the US and Australia. AI models were retrained in flight to meet changing mission situations to enhance commanders’ decision-making.
You could be involved in:
Assessing and improving AI content in Defence and Security safety critical systems in the Air, Sea and Land domains, to ensure that they are safe, secure and protected.
Applying the latest thinking in verification and validation of artificial intelligence and autonomous functions for defence and security purposes.
Innovating to support the delivery of the UK Cyber Strategy by researching algorithms for Cyber defence.
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
Have a drive for keeping abreast of the latest developments in cyber security and emerging trends in artificial intelligence. We give our people the opportunity to think and innovate. We offer loads of opportunities for training and scholarships, attending and presenting at conferences, and collaborating with internal research and industry and academia.
Work in a team consisting of highly professional Autonomy and Mathematical experts with enviable national and international reputations to take part in cutting edge research. Use your critical thinking and creative problem solving skills to implement state of art methods and tools.
Develop a knowledge of undertaking verification, validation and vulnerability assessments on Systems of interest.
Appreciate the importance of safety, security requirements to have a positive impact on defence and security of the UK.
Deliver technical reports and recommendations to leadership, senior officials across government and military and other non-technical audiences through clear data storytelling and well-crafted verbal presentations
Person specification
We are looking for someone who has:
A keen interest in algorithms, AI, ML or statistical analysis along with a willingness to develop additional capabilities in cyber security and safety.
Experience contributing to Software or AI / ML intensive projects.
Is looking for a career with a difference, doing a job that provides the latest and most effective tools to defend our nation and uphold the principle of freedom.
Important Information:
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
Behaviours
We'll assess you against these behaviours during the selection process:
Changing and Improving
Communicating and Influencing
Seeing the Big Picture
Working Together
Benefits
Benefits
Dstl’s full range of great benefits can be found in the information pack which includes:
Financial : An excellent pension scheme starting from 26% employer contribution ( find out more here ). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.
Flexible working : Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.
Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.
Things you need to know
Selection process details
This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours and Experience.
We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.
Sifting will be taking place bi-weekly throughout the campaign, successful applicants will be invited to attend an online interview via MS Teams.
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check. Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window) . See our vetting charter (opens in a new window) . People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
Open to UK nationals only. This job is not open to candidates who hold a dual nationality.
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
Apply and further information
This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative. Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job contact :
Name : Dstl Recruitment
Email : dstlrecruitment@dstl.gov.uk
Recruitment team
Email : dstlrecruitment@dstl.gov.uk
Further information
Should you wish to raise a formal complaint about the Dstl recruitment process you should email dstlrecruitment@dstl.gov.uk stating the nature of the issue. We will respond within 5 working days.
Attachments
20230626_CSAS_Data_Scientist_Autonomy_Dependability_L5 Opens in new window (docx, 66kB) Candidate_info_pack_CIS - 20220824 Opens in new window (pdf, 1378kB)
About Capgemini Invent At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want An overview of the role As a (Consultant/Senior Consultant) Data Migration Architect, you will be the Subject Matter Expert (SME) for helping customers successfully modernize their data platforms, migrate them to the Cloud native platforms, and infuse AI in existing solution. You will work closely with clients and partners in guiding them in building new solutions that incorporate the very best of Data & AI solution available today, by providing architectural deep dive and hands-on expertise. Experience Experience in migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform, from business case, TCO to the actual technical implementation. Prior work experience in a Consulting/Architecture position is essential. We are looking for passionate people who have deep data platform experience, but also ability to operate as an advisor to senior data leaders in client organisations. Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills Why you? Be a technical expert on all aspects of some or all of the cloud native Data Analytic Platforms such as Azure Synapse, Amazon Redshift, EMR, Athena, Databricks, Snowflake, BigQuery, DataProc, Cloudera, etc Guide customers through the process of migrating to appropriate target platform though architectural deep dive and improving current methodologies to provide clients a seamless migration process Work hands-on with clients to demonstrate and communicate implementation best practices on the target migrated platform, ensure training and enablement is achieved so clients are comfortable with their new target operating model. Maintain deep understanding of complementary technologies on all AWS, Azure and GCP Extensive hands-on expertise with SQL and SQL analytics. Python, Terraform (or similar) and CI/CD skills will be an added bonus. Extensive knowledge of and experience with large-scale database technology (e.g. Teradata, Oracle Exadata, Netezza, Greenplum, etc.) Presenting skills is key, need to convey value to both technical and executive audiences, on a whiteboard or using presentations and demos The work No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why us ? As a team: We value diversity: we embrace the value that diverse teams bring to our A&AI practice and our clients. We focus on clients: positively impacting our clients data culture and operations We are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably I&D (Insights and Data), Hybrid Intelligence (previously known as Tessella) and with select third party alliances We foster community: building new analytics and AI products and services through our functional and industry communities of interest and help individuals with their though leadership We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion
23/09/2022
Full time
About Capgemini Invent At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want An overview of the role As a (Consultant/Senior Consultant) Data Migration Architect, you will be the Subject Matter Expert (SME) for helping customers successfully modernize their data platforms, migrate them to the Cloud native platforms, and infuse AI in existing solution. You will work closely with clients and partners in guiding them in building new solutions that incorporate the very best of Data & AI solution available today, by providing architectural deep dive and hands-on expertise. Experience Experience in migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform, from business case, TCO to the actual technical implementation. Prior work experience in a Consulting/Architecture position is essential. We are looking for passionate people who have deep data platform experience, but also ability to operate as an advisor to senior data leaders in client organisations. Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills Why you? Be a technical expert on all aspects of some or all of the cloud native Data Analytic Platforms such as Azure Synapse, Amazon Redshift, EMR, Athena, Databricks, Snowflake, BigQuery, DataProc, Cloudera, etc Guide customers through the process of migrating to appropriate target platform though architectural deep dive and improving current methodologies to provide clients a seamless migration process Work hands-on with clients to demonstrate and communicate implementation best practices on the target migrated platform, ensure training and enablement is achieved so clients are comfortable with their new target operating model. Maintain deep understanding of complementary technologies on all AWS, Azure and GCP Extensive hands-on expertise with SQL and SQL analytics. Python, Terraform (or similar) and CI/CD skills will be an added bonus. Extensive knowledge of and experience with large-scale database technology (e.g. Teradata, Oracle Exadata, Netezza, Greenplum, etc.) Presenting skills is key, need to convey value to both technical and executive audiences, on a whiteboard or using presentations and demos The work No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why us ? As a team: We value diversity: we embrace the value that diverse teams bring to our A&AI practice and our clients. We focus on clients: positively impacting our clients data culture and operations We are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably I&D (Insights and Data), Hybrid Intelligence (previously known as Tessella) and with select third party alliances We foster community: building new analytics and AI products and services through our functional and industry communities of interest and help individuals with their though leadership We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page Why this role? • You'll undertake cross-functional engineering projects, working in small teams with other engineers in different knowledge spheres, building supportable, sustainable, and reliable service • Be part of a new community of engineers within Capgemini Invent. You will be able to work together as community and help each other to deliver and develop as professionals. We work on large scale, technically challenging projects. • Take personal responsibility for components' technical delivery - collaborating with other senior developers and architects to design robust, scalable technical solutions • Continually improve our teams' development processes, practices, tools, and techniques • Share your knowledge and experience with colleagues as you coach them and mentor them, helping the team to grow their skills, as well as developing your own skills by experimenting with and learning new technologies • Encourage innovation, inclusion, teamwork, self-organisation, and diversity • Work with clients and internal teams to develop new opportunities and open-source projects and initiatives. Why you? To be part of this team, you will have a mixture of the following: Required • Java using Spring Boot (or similar framework) to build microservices • Use Test Driven or Behaviour Driven Development • Use version control software - Git • Online version control tools - GitHub, GitLab etc • Use CI/CD to verify and validate code • Ability to converse with both internal and external stakeholders, always holding the appropriate level of conversation Desirable • Containerisation such as Docker • NoSQL database (familiarity with MongoDB is preferred) • Cloud technologies such as AWS Lambda, SQS and SNS (or similar in GCP or Azure) A Plus • Frontend development experience - NodeJS, ReactJS, Nujucks, ExpressJS, HTML and CSS An overview of the role: Our software engineers are responsible for creating the visions of our clients and driving better business outcomes. They are tasked with building cutting-edge digital solutions for our clients, combining a clear understanding of business value and a consultative approach to make the difference. They will be able to work on a vast variety of projects and get exposure to a variety of technology such as (but not exhaustively) NodeJS, Java, Kotlin, Spring boot framework, RESTful microservices, NoSQL databases. Our software engineers sit within Digital Factory, part of the Business Technology practice in Capgemini Invent. Capgemini Invent lead digital transformation projects across Capgemini. We are a new and dynamic community that values innovation, professional development, and the ability to make a real difference for our clients. We work in diverse multi-disciplinary teams, hand-in-glove with our clients. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Why us ? Capgemini Invent offers engineers a culture of learning, ownership, and focus on value. You'll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. Normally (outside of COVID restrictions) there are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new (We are constantly monitoring the Government's advice on COVID, and run events in line with that, often virtually now). Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 9th year. When you join Capgemini, you'll join a team that does the right thing. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ..... click apply for full job details
19/09/2022
Full time
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page Why this role? • You'll undertake cross-functional engineering projects, working in small teams with other engineers in different knowledge spheres, building supportable, sustainable, and reliable service • Be part of a new community of engineers within Capgemini Invent. You will be able to work together as community and help each other to deliver and develop as professionals. We work on large scale, technically challenging projects. • Take personal responsibility for components' technical delivery - collaborating with other senior developers and architects to design robust, scalable technical solutions • Continually improve our teams' development processes, practices, tools, and techniques • Share your knowledge and experience with colleagues as you coach them and mentor them, helping the team to grow their skills, as well as developing your own skills by experimenting with and learning new technologies • Encourage innovation, inclusion, teamwork, self-organisation, and diversity • Work with clients and internal teams to develop new opportunities and open-source projects and initiatives. Why you? To be part of this team, you will have a mixture of the following: Required • Java using Spring Boot (or similar framework) to build microservices • Use Test Driven or Behaviour Driven Development • Use version control software - Git • Online version control tools - GitHub, GitLab etc • Use CI/CD to verify and validate code • Ability to converse with both internal and external stakeholders, always holding the appropriate level of conversation Desirable • Containerisation such as Docker • NoSQL database (familiarity with MongoDB is preferred) • Cloud technologies such as AWS Lambda, SQS and SNS (or similar in GCP or Azure) A Plus • Frontend development experience - NodeJS, ReactJS, Nujucks, ExpressJS, HTML and CSS An overview of the role: Our software engineers are responsible for creating the visions of our clients and driving better business outcomes. They are tasked with building cutting-edge digital solutions for our clients, combining a clear understanding of business value and a consultative approach to make the difference. They will be able to work on a vast variety of projects and get exposure to a variety of technology such as (but not exhaustively) NodeJS, Java, Kotlin, Spring boot framework, RESTful microservices, NoSQL databases. Our software engineers sit within Digital Factory, part of the Business Technology practice in Capgemini Invent. Capgemini Invent lead digital transformation projects across Capgemini. We are a new and dynamic community that values innovation, professional development, and the ability to make a real difference for our clients. We work in diverse multi-disciplinary teams, hand-in-glove with our clients. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Why us ? Capgemini Invent offers engineers a culture of learning, ownership, and focus on value. You'll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. Normally (outside of COVID restrictions) there are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new (We are constantly monitoring the Government's advice on COVID, and run events in line with that, often virtually now). Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for an 9th year. When you join Capgemini, you'll join a team that does the right thing. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. ..... click apply for full job details
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page Why this role? • You'll undertake cross-functional engineering projects, working in small teams with other engineers in different knowledge spheres, building supportable, sustainable, and reliable service • Be part of a new community of engineers within Capgemini Invent. You will be able to work together as community and help each other to deliver and develop as professionals. We work on large scale, technically challenging projects. • Take personal responsibility for components' technical delivery - collaborating with other senior developers and architects to design robust, scalable technical solutions • Continually improve our teams' development processes, practices, tools, and techniques • Share your knowledge and experience with colleagues as you coach them and mentor them, helping the team to grow their skills, as well as developing your own skills by experimenting with and learning new technologies • Encourage innovation, inclusion, teamwork, self-organisation, and diversity • Work with clients and internal teams to develop new opportunities and open-source projects and initiatives. Why you? To be part of this team, you will have a mixture of the following experience: Extensive experience of how to build Java/Kotlin Spring Boot (or similar framework) microservices Experience using Javascript including NodeJS, React, HTML and CSS to build fronted web applications Experience in Test Driven or Behaviour Driven Development for both front and back-end development Experience with CI/CD to verify and validate code Experience using version control software - Git Experience using online version control tools - GitHub, GitLab etc Experience working in an agile team environment Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) Familiarity with web standards, accessibility, and development best practice Familiarity with cloud technologies such as AWS Lambda, SQS and SNS (or similar in GCP or Azure) Familiarity with using Docker to aid develop and testing as well as deployment a plus. Familiarity using the GOV.UK Design System a plus Ability to converse with both internal and external stakeholders, always holding the appropriate level of conversation Why us? Capgemini Invent offers engineers a culture of learning, ownership, and focus on value. You'll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. Normally (outside of COVID restrictions) there are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new (We are constantly monitoring the Government's advice on COVID, and run events in line with that, often virtually now). An overview of the role: Our full stack consultants are responsible for creating the visions of our clients and driving better business outcomes. They are tasked with building cutting-edge digital solutions for our clients, combining a clear understanding of business value and a consultative approach to make the difference. They will be able to work on a vast variety of projects and get exposure to a variety of technology such as (but not exhaustively) NodeJS, Java, Kotlin, Spring boot framework, RESTful microservices, NoSQL databases. Our full stack consultants sit within Digital Factory, part of the Business Technology practice in Capgemini Invent. Capgemini Invent lead digital transformation projects across Capgemini. We are a new and dynamic community that values innovation, professional development, and the ability to make a real difference for our clients. We work in diverse multi-disciplinary teams, hand-in-glove with our clients. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact..... click apply for full job details
19/09/2022
Full time
At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page Why this role? • You'll undertake cross-functional engineering projects, working in small teams with other engineers in different knowledge spheres, building supportable, sustainable, and reliable service • Be part of a new community of engineers within Capgemini Invent. You will be able to work together as community and help each other to deliver and develop as professionals. We work on large scale, technically challenging projects. • Take personal responsibility for components' technical delivery - collaborating with other senior developers and architects to design robust, scalable technical solutions • Continually improve our teams' development processes, practices, tools, and techniques • Share your knowledge and experience with colleagues as you coach them and mentor them, helping the team to grow their skills, as well as developing your own skills by experimenting with and learning new technologies • Encourage innovation, inclusion, teamwork, self-organisation, and diversity • Work with clients and internal teams to develop new opportunities and open-source projects and initiatives. Why you? To be part of this team, you will have a mixture of the following experience: Extensive experience of how to build Java/Kotlin Spring Boot (or similar framework) microservices Experience using Javascript including NodeJS, React, HTML and CSS to build fronted web applications Experience in Test Driven or Behaviour Driven Development for both front and back-end development Experience with CI/CD to verify and validate code Experience using version control software - Git Experience using online version control tools - GitHub, GitLab etc Experience working in an agile team environment Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) Familiarity with web standards, accessibility, and development best practice Familiarity with cloud technologies such as AWS Lambda, SQS and SNS (or similar in GCP or Azure) Familiarity with using Docker to aid develop and testing as well as deployment a plus. Familiarity using the GOV.UK Design System a plus Ability to converse with both internal and external stakeholders, always holding the appropriate level of conversation Why us? Capgemini Invent offers engineers a culture of learning, ownership, and focus on value. You'll gain exposure to high-profile transformations and gain hands-on exposure to leading technologies. Our consultants are formally trained by industry experts in consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned both to your interests and our client's outcomes. Les Fontaines: Capgemini Invent has a unique training environment just outside of Paris, where we can immerse ourselves in thought-leadership, share knowledge and build capabilities that will help us and our clients to succeed. We hold monthly showcases of our digital transformation initiatives, sharing knowledge and showing off how the power of technology is impacting our clients. Normally (outside of COVID restrictions) there are monthly team drinks, and it's a chance to connect face-to-face with the wider team over a few drinks in the city. The monthly team breakfasts give you a different, more relaxed setting to meet up in the office to hear from the leadership, meet colleagues and discuss the trends and insights within the market. Team away days are always a chance to connect with the team, have fun and learn something new (We are constantly monitoring the Government's advice on COVID, and run events in line with that, often virtually now). An overview of the role: Our full stack consultants are responsible for creating the visions of our clients and driving better business outcomes. They are tasked with building cutting-edge digital solutions for our clients, combining a clear understanding of business value and a consultative approach to make the difference. They will be able to work on a vast variety of projects and get exposure to a variety of technology such as (but not exhaustively) NodeJS, Java, Kotlin, Spring boot framework, RESTful microservices, NoSQL databases. Our full stack consultants sit within Digital Factory, part of the Business Technology practice in Capgemini Invent. Capgemini Invent lead digital transformation projects across Capgemini. We are a new and dynamic community that values innovation, professional development, and the ability to make a real difference for our clients. We work in diverse multi-disciplinary teams, hand-in-glove with our clients. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Diversity: Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all of our teams. Work/Life Harmony: We understand that everyone has varied lives and we want you to have a great work-life balance. So, where possible, our Work Life Harmony policy will help you to work flexibly and juggle your work and home life. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact..... click apply for full job details
About the Role Working in a fast paced UX team, you'll be primarily focussed on Next Online projects with cutting edge tools, processes and technology. Whilst enhancing the Next brand through well considered, exceptional design, you'll be responsible for creating hi-fidelity designs, interactive prototypes, supporting devs and ensuring quality. Being part of the user experience team, you will have a passion for user centered design, working with user research, data scientists, and understanding customer behaviour to make informed design decisions. About you - With at least 2 years' impressive experience delivering digital products, and a degree in a web or graphic design field, you'll have a portfolio filled with outstanding work and ideas. - You'll also have strong experience of designing for apps as well as web - all with a strong focus on user experience. - You'll have excellent knowledge of modern web standards, as well as being capable of bringing concepts to life. - You'll also have core experience in interaction design, wireframing, animation, working within brand guidelines and design systems. - With a creative approach to solving problems and a natural flair for design, you'll have good knowledge of industry-standard tools such as Sketch, Figma, InVision Studio, Miro, Adobe CC as well as some basic HTML/CSS knowledge. - Able to relate design decisions to business strategy and research data - You'll also have excellent planning, time management and communication skills. - Focused on seeing work through to completion with a strong eye for detail Criteria -2 years experience delivering digital products and a degree in a web or graphic design field - Experience of designing for apps as well as web - Experience in interaction design, wireframing, animation - Knowledge of modern web standards Benefits Bonus Scheme Pension Scheme ShareSave Scheme Life Assurance Staff Discount On-site Nursery About Next You know Next, but did you know we're a FTSE-100 retail company employing over 43,000 people across the UK and Ireland. We're the UK's 2nd largest fashion retailer and for Kidswear we're the market leader. At the last count we have over 540 stores, plus the Next Online and it's now possible to buy on-line from over 70 countries around the world! So we've gone global!
04/10/2021
Full time
About the Role Working in a fast paced UX team, you'll be primarily focussed on Next Online projects with cutting edge tools, processes and technology. Whilst enhancing the Next brand through well considered, exceptional design, you'll be responsible for creating hi-fidelity designs, interactive prototypes, supporting devs and ensuring quality. Being part of the user experience team, you will have a passion for user centered design, working with user research, data scientists, and understanding customer behaviour to make informed design decisions. About you - With at least 2 years' impressive experience delivering digital products, and a degree in a web or graphic design field, you'll have a portfolio filled with outstanding work and ideas. - You'll also have strong experience of designing for apps as well as web - all with a strong focus on user experience. - You'll have excellent knowledge of modern web standards, as well as being capable of bringing concepts to life. - You'll also have core experience in interaction design, wireframing, animation, working within brand guidelines and design systems. - With a creative approach to solving problems and a natural flair for design, you'll have good knowledge of industry-standard tools such as Sketch, Figma, InVision Studio, Miro, Adobe CC as well as some basic HTML/CSS knowledge. - Able to relate design decisions to business strategy and research data - You'll also have excellent planning, time management and communication skills. - Focused on seeing work through to completion with a strong eye for detail Criteria -2 years experience delivering digital products and a degree in a web or graphic design field - Experience of designing for apps as well as web - Experience in interaction design, wireframing, animation - Knowledge of modern web standards Benefits Bonus Scheme Pension Scheme ShareSave Scheme Life Assurance Staff Discount On-site Nursery About Next You know Next, but did you know we're a FTSE-100 retail company employing over 43,000 people across the UK and Ireland. We're the UK's 2nd largest fashion retailer and for Kidswear we're the market leader. At the last count we have over 540 stores, plus the Next Online and it's now possible to buy on-line from over 70 countries around the world! So we've gone global!
Job description We currently have an opportunity for an Enterprise Data Architect to join our IT team in London. The Enterprise Data Architect will ensure A&O has focus on and maintains an enterprise data governance framework for data policies, standards, process and practices, across A&O, to achieve the required level of consistency and quality to meet A&O business needs. The role will be the custodian of data, setting the vision for A&O's use of data and will manage A&Os data catalogue to improve the quality and value of core data assets, respond to regulatory requirements as well as support strategic functional requirements. The role will manage the way that people and programs engage with data, ensuring that data can be turned into valuable insights that inform business decisions. The role holder will consistently communicate the business benefit of data standards and will champion and govern those standards across the firm. The role holder will ensure internal procedures keep pace with evolving data regulation and compliance. Role and responsibilities Manage and govern a unified view of A&O data, its data linage and provenance Govern and manage the A&O data catalogue across all data assets. Ensure data is discoverable, well understood, and trusted Drive innovation and growth through the use of data, unlocking data for insightful business decisions Help establish best practice, rules and ownership of A&Os taxonomy and ontology Build and maintain good working-relationships across A&Os Data Stewards to ensure internal stakeholders and leaders are informed and aligned Create a Data Governance and Quality function, including processes and tools to achieve A&Os data objectives Define a proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need Actively use the trends in data quality and data governance to drive positive change in people, process, technology and governance Develop and be responsible for the standards, policies and procedures for the on-going implementation of data governance Ensure alignment between data governance best practice, Data Privacy procedures and requirements and the IT Information Security strategy Work closely with and set direction for the Trusted Data Platform team, staying close to opportunities and challenges that exist within A&O, provide guidance on new products, approaches and supplier relationships that could impact data collection, processing and analytics Key requirements Business Competencies Aptitude for and experience of creating, managing, motivating and developing teams Commercial acumen including an understanding of the overall picture of how the IT service costs and value add to the business Excellent communication, interpersonal and influencing skills, including the ability to communicate both on technical and business levels. Excellent customer-facing skills with a good grasp of key drivers and requirements within the Business. High level of personal credibility, impact and influence with proven ability to work effectively and persuasively at all levels of the business Knowledge & Experience Knowledge and awareness of business and technology issues related to the management of enterprise wide data Expert level data modelling experience. Including a deep understanding of relational, taxonomical and ontological modelling approaches Strong recent experience of developing and managing an enterprise data catalogue Proven experience of developing and implementing a Data Governance Framework and a Data Quality Management service Keen eye for detail with a genuine interest in understanding the journey data takes throughout A&O Demonstrable experience in building, delivering and managing detailed data quality measurement frameworks Comfortable presenting complex data models, flows and relationships to non-data peers and colleagues An expert in information management practices including information lifecycle management, data profiling, master data management, data audits and requirements gathering Clear knowledge and experience relating to the application of data governance, data privacy and data ethics principles to support and drive data strategy Evidence of establishing governance processes, with engaged teams, leading and implementing enterprise-wide data governance and demonstrable improvements in data quality Preferable: Knowledge and experience relating to MLOps, testing and quality management Preferable: Experienced in managing, versioning and automating data and systems Preferable: Experience of unstructured and semi-structured data and associated processing approaches. NLP and Machine learning experience a distinct advantage. Preferable: Experienced at using relevant frameworks such as GDPR and other data privacy regulations to drive data governance ethics Preferable: Experience using automated approaches to manage and support data privacy compliance Is a collaborative team player fostering strong working relationships, with strong culture awareness Strong leadership and influencing skills; interacting with senior stakeholders; highly personable Strong ability to extract information by questioning, active listening and interviewing Results orientated to ensure change and delivery project metrics are meaningful and supported with robust business data Analytical with strong numeracy and good statistical skills Experience of working in Agile project environments Ability to work with technical, (developers, data engineers, data scientists) and nontechnical staff Allen & Overy LLP is committed to being an inclusive employer and we are happy to consider flexible working arrangements. Additional information - External It's Time Allen & Overy is a leading global law firm operating in over thirty countries. By turning our insight, technology and talent into ground-breaking solutions, we've earned a place at the forefront of our industry. Our lawyers are leaders in their field - and the same goes for our support teams. Ambitious, driven and open to fresh perspectives, we find innovative new ways to deliver our services and maintain our reputation for excellence, in all that we do. The nature of law is changing and with that change brings unique opportunities. With our collaborative working culture, flexibility, and a commitment to your progress, we build rewarding careers. By joining our global team, you are supported by colleagues from around the world. If you're ready for a new challenge, it's time to seize the opportunity.
15/09/2021
Full time
Job description We currently have an opportunity for an Enterprise Data Architect to join our IT team in London. The Enterprise Data Architect will ensure A&O has focus on and maintains an enterprise data governance framework for data policies, standards, process and practices, across A&O, to achieve the required level of consistency and quality to meet A&O business needs. The role will be the custodian of data, setting the vision for A&O's use of data and will manage A&Os data catalogue to improve the quality and value of core data assets, respond to regulatory requirements as well as support strategic functional requirements. The role will manage the way that people and programs engage with data, ensuring that data can be turned into valuable insights that inform business decisions. The role holder will consistently communicate the business benefit of data standards and will champion and govern those standards across the firm. The role holder will ensure internal procedures keep pace with evolving data regulation and compliance. Role and responsibilities Manage and govern a unified view of A&O data, its data linage and provenance Govern and manage the A&O data catalogue across all data assets. Ensure data is discoverable, well understood, and trusted Drive innovation and growth through the use of data, unlocking data for insightful business decisions Help establish best practice, rules and ownership of A&Os taxonomy and ontology Build and maintain good working-relationships across A&Os Data Stewards to ensure internal stakeholders and leaders are informed and aligned Create a Data Governance and Quality function, including processes and tools to achieve A&Os data objectives Define a proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need Actively use the trends in data quality and data governance to drive positive change in people, process, technology and governance Develop and be responsible for the standards, policies and procedures for the on-going implementation of data governance Ensure alignment between data governance best practice, Data Privacy procedures and requirements and the IT Information Security strategy Work closely with and set direction for the Trusted Data Platform team, staying close to opportunities and challenges that exist within A&O, provide guidance on new products, approaches and supplier relationships that could impact data collection, processing and analytics Key requirements Business Competencies Aptitude for and experience of creating, managing, motivating and developing teams Commercial acumen including an understanding of the overall picture of how the IT service costs and value add to the business Excellent communication, interpersonal and influencing skills, including the ability to communicate both on technical and business levels. Excellent customer-facing skills with a good grasp of key drivers and requirements within the Business. High level of personal credibility, impact and influence with proven ability to work effectively and persuasively at all levels of the business Knowledge & Experience Knowledge and awareness of business and technology issues related to the management of enterprise wide data Expert level data modelling experience. Including a deep understanding of relational, taxonomical and ontological modelling approaches Strong recent experience of developing and managing an enterprise data catalogue Proven experience of developing and implementing a Data Governance Framework and a Data Quality Management service Keen eye for detail with a genuine interest in understanding the journey data takes throughout A&O Demonstrable experience in building, delivering and managing detailed data quality measurement frameworks Comfortable presenting complex data models, flows and relationships to non-data peers and colleagues An expert in information management practices including information lifecycle management, data profiling, master data management, data audits and requirements gathering Clear knowledge and experience relating to the application of data governance, data privacy and data ethics principles to support and drive data strategy Evidence of establishing governance processes, with engaged teams, leading and implementing enterprise-wide data governance and demonstrable improvements in data quality Preferable: Knowledge and experience relating to MLOps, testing and quality management Preferable: Experienced in managing, versioning and automating data and systems Preferable: Experience of unstructured and semi-structured data and associated processing approaches. NLP and Machine learning experience a distinct advantage. Preferable: Experienced at using relevant frameworks such as GDPR and other data privacy regulations to drive data governance ethics Preferable: Experience using automated approaches to manage and support data privacy compliance Is a collaborative team player fostering strong working relationships, with strong culture awareness Strong leadership and influencing skills; interacting with senior stakeholders; highly personable Strong ability to extract information by questioning, active listening and interviewing Results orientated to ensure change and delivery project metrics are meaningful and supported with robust business data Analytical with strong numeracy and good statistical skills Experience of working in Agile project environments Ability to work with technical, (developers, data engineers, data scientists) and nontechnical staff Allen & Overy LLP is committed to being an inclusive employer and we are happy to consider flexible working arrangements. Additional information - External It's Time Allen & Overy is a leading global law firm operating in over thirty countries. By turning our insight, technology and talent into ground-breaking solutions, we've earned a place at the forefront of our industry. Our lawyers are leaders in their field - and the same goes for our support teams. Ambitious, driven and open to fresh perspectives, we find innovative new ways to deliver our services and maintain our reputation for excellence, in all that we do. The nature of law is changing and with that change brings unique opportunities. With our collaborative working culture, flexibility, and a commitment to your progress, we build rewarding careers. By joining our global team, you are supported by colleagues from around the world. If you're ready for a new challenge, it's time to seize the opportunity.
