Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You'll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm. As a Data Engineer at JPMorgan Chase within our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm's goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement. Job responsibilities Develop workflows and ELT pipelines using Python and Databricks. Support review of controls to ensure sufficient protection of enterprise data. Implement data security using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databases Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. Utilize AWS Cloud Services for developing, deploying, and managing applications at scale. Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing. Preferred qualifications, capabilities, and skills Familiarity with the Standardized data layer practices (Medallion architecture) Exposure to Aurora Postgres and MongoDB Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
16/07/2026
Full time
Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You'll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm. As a Data Engineer at JPMorgan Chase within our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm's goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement. Job responsibilities Develop workflows and ELT pipelines using Python and Databricks. Support review of controls to ensure sufficient protection of enterprise data. Implement data security using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databases Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. Utilize AWS Cloud Services for developing, deploying, and managing applications at scale. Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing. Preferred qualifications, capabilities, and skills Familiarity with the Standardized data layer practices (Medallion architecture) Exposure to Aurora Postgres and MongoDB Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Data Analyst IIIApplylocations: London: Valencia: Madridtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JR-The Apex Group was established in Bermuda in 2003 and is now one of the world's largest fund administration and middle office solutions providers.Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.That's why, at Apex Group, we will do more than simply 'empower' you. We will work to supercharge your unique skills and experience.Take the lead and we'll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.For our business, for clients, and for you About Apex Apex Group Ltd., established in Bermuda in 2003, is a global financial services provider. With over 80 offices in 70 countries worldwide and more than 12,000 employees, Apex Group delivers an expansive range of services to asset managers, financial institutions, private clients and family offices. The Group has continually improved and evolved its capabilities to offer a single-source solution through establishing the broadest range of services in the industry; including fund services, digital onboarding and bank accounts, depositary, custody, super ManCo services, corporate services including HR and Payroll and a pioneering ESG Ratings and Advisory solution. Apex Group's purpose is to be more than just a financial services provider and is committed to driving positive change to address three core areas; the Environment and Climate Change, Women's Empowerment and Economic Independence, Education and Social Mobility.Life at Apex isn't just about the work you do, it's about embracing the culture and loving what you do. Every employee plays a part in making Apex who we are today and the more that we grow, the more important that becomes. Whatever your career path or specialism Apex ensures it rewards loyal and dedicated employees. The international nature of our business and global network of offices means that there are opportunities to broaden your life experiences and take both short-term or permanent relocation options. Job Specification We are seeking a skilled and detail-oriented Data Analyst to join our team. As a Data Analyst, you will play a vital role in collecting, analysing, and interpreting complex data sets to provide actionable insights and support data-driven decision-making across the organization. You will collaborate closely with various stakeholders to identify business needs, design data models, perform statistical analysis, and present findings in a clear and concise manner. The ideal candidate has a strong analytical mindset, advanced data manipulation skills, and a passion for extracting valuable information from raw data. Responsibilities: Collect, clean, and transform large data sets from multiple sources into usable formats for analysis. Develop and maintain efficient data models, databases, and reporting systems. Identify, analyse, and interpret trends or patterns in complex data sets to support strategic business decisions. Conduct statistical analysis and generate meaningful reports and visualizations to communicate findings effectively. Collaborate with cross-functional teams to define key performance indicators (KPIs) and develop metrics for measuring business performance. Identify data quality issues, troubleshoot problems, and implement solutions to ensure data accuracy and integrity. Monitor and evaluate data collection processes to optimize efficiency and effectiveness. Stay updated with industry trends, emerging technologies, and best practices in data analysis and visualization. Present findings, insights, and recommendations to stakeholders in a clear and concise manner, both verbally and in written reports. Utilise Snowflake as the data source to ensure accurate, up-to-date, and well-structured data for reporting. Ensure that you follow best practices for software development, including version control, coding standards, and testing methodologies. Collaborate with data engineers to ensure seamless data integration from various sources into Snowflake and the coordination of data models. Implement data governance practices to maintain data accuracy, security, and compliance within BI solutions. Requirements: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. 8+ years of extensive experience as a Data Analyst Experience working with Snowflake Experience of designing and implementing data analytics strategies and driving successful data-driven initiatives. Proficiency in SQL for data extraction, manipulation, and analysis. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. High level analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications: Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Programming skills in Python/R for statistical analysis Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization.Join our organization and lead the way in harnessing the power of data to drive strategic decision-making, innovation, and growth. What you will get in return: A genuinely unique opportunity to be part of an expanding large global business. Joining Apex Group will provide you with a platform for professional and personal success and an environment where you can truly make an impact.Our people are our greatest asset and we believe learning is central to developing talent, nurturing strong leaders, fostering a supportive company culture and ultimately drives our success.Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.
16/07/2026
Full time
Data Analyst IIIApplylocations: London: Valencia: Madridtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JR-The Apex Group was established in Bermuda in 2003 and is now one of the world's largest fund administration and middle office solutions providers.Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.That's why, at Apex Group, we will do more than simply 'empower' you. We will work to supercharge your unique skills and experience.Take the lead and we'll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.For our business, for clients, and for you About Apex Apex Group Ltd., established in Bermuda in 2003, is a global financial services provider. With over 80 offices in 70 countries worldwide and more than 12,000 employees, Apex Group delivers an expansive range of services to asset managers, financial institutions, private clients and family offices. The Group has continually improved and evolved its capabilities to offer a single-source solution through establishing the broadest range of services in the industry; including fund services, digital onboarding and bank accounts, depositary, custody, super ManCo services, corporate services including HR and Payroll and a pioneering ESG Ratings and Advisory solution. Apex Group's purpose is to be more than just a financial services provider and is committed to driving positive change to address three core areas; the Environment and Climate Change, Women's Empowerment and Economic Independence, Education and Social Mobility.Life at Apex isn't just about the work you do, it's about embracing the culture and loving what you do. Every employee plays a part in making Apex who we are today and the more that we grow, the more important that becomes. Whatever your career path or specialism Apex ensures it rewards loyal and dedicated employees. The international nature of our business and global network of offices means that there are opportunities to broaden your life experiences and take both short-term or permanent relocation options. Job Specification We are seeking a skilled and detail-oriented Data Analyst to join our team. As a Data Analyst, you will play a vital role in collecting, analysing, and interpreting complex data sets to provide actionable insights and support data-driven decision-making across the organization. You will collaborate closely with various stakeholders to identify business needs, design data models, perform statistical analysis, and present findings in a clear and concise manner. The ideal candidate has a strong analytical mindset, advanced data manipulation skills, and a passion for extracting valuable information from raw data. Responsibilities: Collect, clean, and transform large data sets from multiple sources into usable formats for analysis. Develop and maintain efficient data models, databases, and reporting systems. Identify, analyse, and interpret trends or patterns in complex data sets to support strategic business decisions. Conduct statistical analysis and generate meaningful reports and visualizations to communicate findings effectively. Collaborate with cross-functional teams to define key performance indicators (KPIs) and develop metrics for measuring business performance. Identify data quality issues, troubleshoot problems, and implement solutions to ensure data accuracy and integrity. Monitor and evaluate data collection processes to optimize efficiency and effectiveness. Stay updated with industry trends, emerging technologies, and best practices in data analysis and visualization. Present findings, insights, and recommendations to stakeholders in a clear and concise manner, both verbally and in written reports. Utilise Snowflake as the data source to ensure accurate, up-to-date, and well-structured data for reporting. Ensure that you follow best practices for software development, including version control, coding standards, and testing methodologies. Collaborate with data engineers to ensure seamless data integration from various sources into Snowflake and the coordination of data models. Implement data governance practices to maintain data accuracy, security, and compliance within BI solutions. Requirements: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. 8+ years of extensive experience as a Data Analyst Experience working with Snowflake Experience of designing and implementing data analytics strategies and driving successful data-driven initiatives. Proficiency in SQL for data extraction, manipulation, and analysis. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. High level analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications: Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Programming skills in Python/R for statistical analysis Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization.Join our organization and lead the way in harnessing the power of data to drive strategic decision-making, innovation, and growth. What you will get in return: A genuinely unique opportunity to be part of an expanding large global business. Joining Apex Group will provide you with a platform for professional and personal success and an environment where you can truly make an impact.Our people are our greatest asset and we believe learning is central to developing talent, nurturing strong leaders, fostering a supportive company culture and ultimately drives our success.Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.
Join a leading UK Telecom & Media Innovator as a CRO Engineer. Job Overview: Role: CRO Engineer Location: Paddington - Sheldon Square Contract: end of August but likely to be another 6 months on this project. Pay Rates: Umbrella Rate: £600-650/day Work Mode (Hybrid): Wednesday and one other day Key Responsibilities: Senior Optimisation (CRO) Engineer We are looking for a 5+ year-experienced Senior Optimisation Engineer to work in our Optimisation team to help build out the web UI campaigns for our new services and applications.This is a role for an experienced web application developer (Angular framework) to optimise our current UI to achieve OKR's set by the business and improve our customer usage and enjoyment metrics. You will be a strong front-end coder with experience of working in experimentation, optimisation & personalisation. In this role you will be working with optimisation tools in an Agile squad, ultimately responsible for and further evolving the engineering quality, design, implementation, and operation of your product.You will work with business partners, engineers, data scientists, and UX designers to design, implement, test, deliver, and document complex applications, tools, systems and services. The must-haves: 5+ years of developing A/B / MVT optimisation experience campaigns Front end development experience in either REACT or Angular framework Proficiency knowledge in JavaScript, jQuery, Vanilla JS, CSS and HTML A passion for great online experience and an understanding of end-to-end user journeys and customer experience/CX Experience of automation testing to write regression tests Solid experience of website personalisation and audience targeting Solid experience of working with fully responsive websites Advanced understanding of Data analytics and Tag Manager (GTM) Nice to have: Experience of developing in TypeScript, JavaScript, Python or Java. Prior use of split testing platforms is preferable - Adobe Target, Optimizely, Google Optimize. A good understanding of design patterns, OOD, design and data structures Hands-on expertise in disparate technologies such as cloud computing, native device development, CMS solutions, service-oriented architecture, user interface development, or machine learning. How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
16/07/2026
Contractor
Join a leading UK Telecom & Media Innovator as a CRO Engineer. Job Overview: Role: CRO Engineer Location: Paddington - Sheldon Square Contract: end of August but likely to be another 6 months on this project. Pay Rates: Umbrella Rate: £600-650/day Work Mode (Hybrid): Wednesday and one other day Key Responsibilities: Senior Optimisation (CRO) Engineer We are looking for a 5+ year-experienced Senior Optimisation Engineer to work in our Optimisation team to help build out the web UI campaigns for our new services and applications.This is a role for an experienced web application developer (Angular framework) to optimise our current UI to achieve OKR's set by the business and improve our customer usage and enjoyment metrics. You will be a strong front-end coder with experience of working in experimentation, optimisation & personalisation. In this role you will be working with optimisation tools in an Agile squad, ultimately responsible for and further evolving the engineering quality, design, implementation, and operation of your product.You will work with business partners, engineers, data scientists, and UX designers to design, implement, test, deliver, and document complex applications, tools, systems and services. The must-haves: 5+ years of developing A/B / MVT optimisation experience campaigns Front end development experience in either REACT or Angular framework Proficiency knowledge in JavaScript, jQuery, Vanilla JS, CSS and HTML A passion for great online experience and an understanding of end-to-end user journeys and customer experience/CX Experience of automation testing to write regression tests Solid experience of website personalisation and audience targeting Solid experience of working with fully responsive websites Advanced understanding of Data analytics and Tag Manager (GTM) Nice to have: Experience of developing in TypeScript, JavaScript, Python or Java. Prior use of split testing platforms is preferable - Adobe Target, Optimizely, Google Optimize. A good understanding of design patterns, OOD, design and data structures Hands-on expertise in disparate technologies such as cloud computing, native device development, CMS solutions, service-oriented architecture, user interface development, or machine learning. How to Apply: If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Talent Solutions is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Data and AI Governance Lead The Data and AI Governance Lead owns the governance framework for enterprise data and AI-enabled analytics across Azure, Fabric, and Purview. The role ensures data is classified, trusted, controlled, auditable, and safe for consumption by reporting, analytics, and AI tools - and that the platform is secure with continuously improving data quality. The postholder works with business data owners, IT security, architecture, engineering, and analytics teams to embed governance into ways of working, tooling, and technical delivery. Key Accountabilities Own and mature the data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage. Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master and reference data alignment of definitions, KPIs, and semantic standards across domains. Define and operate governance controls for AI-enabled data consumption, including the AI use case register covering risk rating, approval status, required controls, and review dates; establish the control checklist required before any AI use case goes live. Define rules for what data AI tools can and cannot access; ensure AI tools only consume approved, certified, classified, and traceable data with appropriate controls for prompt handling, output handling, personal data, sensitive data, and commercially sensitive data. Own audit evidence for AI-enabled data products including data source classification, ownership, access model, metric definition, lineage, and approval history. Implement data quality management including critical data elements, rule sets, monitoring, issue management, and remediation workflows; establish data quality standards, stewardship, and data owner accountability. Partner with cyber, legal, privacy, P&C, and business data owners to ensure AI use of enterprise data is safe, compliant, and auditable; partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness. Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance. Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify AI use cases by risk and define appropriate pre go live controls. Ability to translate AI governance principles into practical technical controls implementable by engineers and architects, including prompt governance, output governance, data access controls, and audit evidence. Strong understanding of personal, sensitive, employee, and commercially sensitive data and access restrictions. Data quality framework design, data ownership, stewardship, and issue management; experience with profiling, rule design, monitoring, and root cause analysis. Knowledge of GDPR and PII controls with practical implementation experience in Azure. Strong stakeholder management across data, cyber, legal, privacy, P&C, and business domains; ability to challenge unsafe AI use cases and translate between technical and business audiences. Experience embedding governance into delivery pipelines including CI/CD, data contracts, and automated checks. Qualifications and Experience Bachelor's degree in data analytics, data governance, data science, or a related discipline. Significant experience leading technical data governance in Microsoft Azure with a proven track record of improving data quality and stewardship using modern tooling. Extensive hands on experience with Microsoft Purview across an Azure data platform, with evidenced improvements to data quality and standardisation in a global context. Experience governing sensitive enterprise data including personal data, employee data, and business critical reporting data. Experience in AI governance, responsible AI, AI risk management, or AI data access controls; familiarity with frameworks such as NIST AI Risk Management, ISO AI Management standards, or equivalent. Practical implementation of international data standardisation frameworks for harmonising definitions, taxonomies, and formats across regions. Experience automating governance using modern tooling and embedding controls into data platform delivery. Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent. Experience with AI/ML and data science platform use cases with comprehensive technical governance. Equal Opportunity Employer At RES we celebrate difference. We encourage applicants from diverse backgrounds, ideas, and points of view to build teams that solve complex problems. RES is an equal opportunity employer and we welcome candidates of all backgrounds.
15/07/2026
Full time
Data and AI Governance Lead The Data and AI Governance Lead owns the governance framework for enterprise data and AI-enabled analytics across Azure, Fabric, and Purview. The role ensures data is classified, trusted, controlled, auditable, and safe for consumption by reporting, analytics, and AI tools - and that the platform is secure with continuously improving data quality. The postholder works with business data owners, IT security, architecture, engineering, and analytics teams to embed governance into ways of working, tooling, and technical delivery. Key Accountabilities Own and mature the data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage. Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master and reference data alignment of definitions, KPIs, and semantic standards across domains. Define and operate governance controls for AI-enabled data consumption, including the AI use case register covering risk rating, approval status, required controls, and review dates; establish the control checklist required before any AI use case goes live. Define rules for what data AI tools can and cannot access; ensure AI tools only consume approved, certified, classified, and traceable data with appropriate controls for prompt handling, output handling, personal data, sensitive data, and commercially sensitive data. Own audit evidence for AI-enabled data products including data source classification, ownership, access model, metric definition, lineage, and approval history. Implement data quality management including critical data elements, rule sets, monitoring, issue management, and remediation workflows; establish data quality standards, stewardship, and data owner accountability. Partner with cyber, legal, privacy, P&C, and business data owners to ensure AI use of enterprise data is safe, compliant, and auditable; partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness. Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance. Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify AI use cases by risk and define appropriate pre go live controls. Ability to translate AI governance principles into practical technical controls implementable by engineers and architects, including prompt governance, output governance, data access controls, and audit evidence. Strong understanding of personal, sensitive, employee, and commercially sensitive data and access restrictions. Data quality framework design, data ownership, stewardship, and issue management; experience with profiling, rule design, monitoring, and root cause analysis. Knowledge of GDPR and PII controls with practical implementation experience in Azure. Strong stakeholder management across data, cyber, legal, privacy, P&C, and business domains; ability to challenge unsafe AI use cases and translate between technical and business audiences. Experience embedding governance into delivery pipelines including CI/CD, data contracts, and automated checks. Qualifications and Experience Bachelor's degree in data analytics, data governance, data science, or a related discipline. Significant experience leading technical data governance in Microsoft Azure with a proven track record of improving data quality and stewardship using modern tooling. Extensive hands on experience with Microsoft Purview across an Azure data platform, with evidenced improvements to data quality and standardisation in a global context. Experience governing sensitive enterprise data including personal data, employee data, and business critical reporting data. Experience in AI governance, responsible AI, AI risk management, or AI data access controls; familiarity with frameworks such as NIST AI Risk Management, ISO AI Management standards, or equivalent. Practical implementation of international data standardisation frameworks for harmonising definitions, taxonomies, and formats across regions. Experience automating governance using modern tooling and embedding controls into data platform delivery. Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent. Experience with AI/ML and data science platform use cases with comprehensive technical governance. Equal Opportunity Employer At RES we celebrate difference. We encourage applicants from diverse backgrounds, ideas, and points of view to build teams that solve complex problems. RES is an equal opportunity employer and we welcome candidates of all backgrounds.
Data and AI Governance Lead The Data and AI Governance Lead owns the governance framework for enterprise data and AI-enabled analytics across Azure, Fabric, and Purview. The role ensures data is classified, trusted, controlled, auditable, and safe for consumption by reporting, analytics, and AI tools - and that the platform is secure with continuously improving data quality. The postholder works with business data owners, IT security, architecture, engineering, and analytics teams to embed governance into ways of working, tooling, and technical delivery. Key Accountabilities Own and mature the data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage. Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master and reference data alignment of definitions, KPIs, and semantic standards across domains. Define and operate governance controls for AI-enabled data consumption, including the AI use case register covering risk rating, approval status, required controls, and review dates; establish the control checklist required before any AI use case goes live. Define rules for what data AI tools can and cannot access; ensure AI tools only consume approved, certified, classified, and traceable data with appropriate controls for prompt handling, output handling, personal data, sensitive data, and commercially sensitive data. Own audit evidence for AI-enabled data products including data source classification, ownership, access model, metric definition, lineage, and approval history. Implement data quality management including critical data elements, rule sets, monitoring, issue management, and remediation workflows; establish data quality standards, stewardship, and data owner accountability. Partner with cyber, legal, privacy, P&C, and business data owners to ensure AI use of enterprise data is safe, compliant, and auditable; partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness. Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance. Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify AI use cases by risk and define appropriate pre go live controls. Ability to translate AI governance principles into practical technical controls implementable by engineers and architects, including prompt governance, output governance, data access controls, and audit evidence. Strong understanding of personal, sensitive, employee, and commercially sensitive data and access restrictions. Data quality framework design, data ownership, stewardship, and issue management; experience with profiling, rule design, monitoring, and root cause analysis. Knowledge of GDPR and PII controls with practical implementation experience in Azure. Strong stakeholder management across data, cyber, legal, privacy, P&C, and business domains; ability to challenge unsafe AI use cases and translate between technical and business audiences. Experience embedding governance into delivery pipelines including CI/CD, data contracts, and automated checks. Qualifications and Experience Bachelor's degree in data analytics, data governance, data science, or a related discipline. Significant experience leading technical data governance in Microsoft Azure with a proven track record of improving data quality and stewardship using modern tooling. Extensive hands on experience with Microsoft Purview across an Azure data platform, with evidenced improvements to data quality and standardisation in a global context. Experience governing sensitive enterprise data including personal data, employee data, and business critical reporting data. Experience in AI governance, responsible AI, AI risk management, or AI data access controls; familiarity with frameworks such as NIST AI Risk Management, ISO AI Management standards, or equivalent. Practical implementation of international data standardisation frameworks for harmonising definitions, taxonomies, and formats across regions. Experience automating governance using modern tooling and embedding controls into data platform delivery. Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent. Experience with AI/ML and data science platform use cases with comprehensive technical governance. Equal Opportunity Employer At RES we celebrate difference. We encourage applicants from diverse backgrounds, ideas, and points of view to build teams that solve complex problems. RES is an equal opportunity employer and we welcome candidates of all backgrounds.
15/07/2026
Full time
Data and AI Governance Lead The Data and AI Governance Lead owns the governance framework for enterprise data and AI-enabled analytics across Azure, Fabric, and Purview. The role ensures data is classified, trusted, controlled, auditable, and safe for consumption by reporting, analytics, and AI tools - and that the platform is secure with continuously improving data quality. The postholder works with business data owners, IT security, architecture, engineering, and analytics teams to embed governance into ways of working, tooling, and technical delivery. Key Accountabilities Own and mature the data and AI governance framework across Fabric, Purview, and the AI-enabled analytics platform; author and maintain policies and standards for data quality, metadata, lineage, retention, privacy, and ethical data and AI usage. Implement and own Purview catalogue, classification, lineage, glossary, data ownership, and certified dataset processes; drive master and reference data alignment of definitions, KPIs, and semantic standards across domains. Define and operate governance controls for AI-enabled data consumption, including the AI use case register covering risk rating, approval status, required controls, and review dates; establish the control checklist required before any AI use case goes live. Define rules for what data AI tools can and cannot access; ensure AI tools only consume approved, certified, classified, and traceable data with appropriate controls for prompt handling, output handling, personal data, sensitive data, and commercially sensitive data. Own audit evidence for AI-enabled data products including data source classification, ownership, access model, metric definition, lineage, and approval history. Implement data quality management including critical data elements, rule sets, monitoring, issue management, and remediation workflows; establish data quality standards, stewardship, and data owner accountability. Partner with cyber, legal, privacy, P&C, and business data owners to ensure AI use of enterprise data is safe, compliant, and auditable; partner with Cyber/InfoSec on data classification, access control, segregation of duties, and audit readiness. Support responsible AI practices including human oversight, explainability, traceability, and appropriate use of AI-generated outputs; support AI/ML governance including model risk controls, data suitability checks, and bias and ethical considerations. Skills and Competencies Strong hands on expertise in Microsoft Purview: metadata management, classification, glossary, lineage, and certified dataset governance. Strong understanding of AI governance, responsible AI, AI risk assessment, and AI control frameworks; ability to classify AI use cases by risk and define appropriate pre go live controls. Ability to translate AI governance principles into practical technical controls implementable by engineers and architects, including prompt governance, output governance, data access controls, and audit evidence. Strong understanding of personal, sensitive, employee, and commercially sensitive data and access restrictions. Data quality framework design, data ownership, stewardship, and issue management; experience with profiling, rule design, monitoring, and root cause analysis. Knowledge of GDPR and PII controls with practical implementation experience in Azure. Strong stakeholder management across data, cyber, legal, privacy, P&C, and business domains; ability to challenge unsafe AI use cases and translate between technical and business audiences. Experience embedding governance into delivery pipelines including CI/CD, data contracts, and automated checks. Qualifications and Experience Bachelor's degree in data analytics, data governance, data science, or a related discipline. Significant experience leading technical data governance in Microsoft Azure with a proven track record of improving data quality and stewardship using modern tooling. Extensive hands on experience with Microsoft Purview across an Azure data platform, with evidenced improvements to data quality and standardisation in a global context. Experience governing sensitive enterprise data including personal data, employee data, and business critical reporting data. Experience in AI governance, responsible AI, AI risk management, or AI data access controls; familiarity with frameworks such as NIST AI Risk Management, ISO AI Management standards, or equivalent. Practical implementation of international data standardisation frameworks for harmonising definitions, taxonomies, and formats across regions. Experience automating governance using modern tooling and embedding controls into data platform delivery. Relevant certifications such as DAMA/CDMP, DCAM, privacy, cloud, AI governance, or equivalent. Experience with AI/ML and data science platform use cases with comprehensive technical governance. Equal Opportunity Employer At RES we celebrate difference. We encourage applicants from diverse backgrounds, ideas, and points of view to build teams that solve complex problems. RES is an equal opportunity employer and we welcome candidates of all backgrounds.
McKinsey & Company, Inc.
City Of Westminster, London
Do you want to do work that matters, along side supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will collaborate with clients and interdisciplinary teams to develop advanced analytics solutions, optimize code, and solve complex business challenges across industries. You'll deepen your expertise by contributing to cutting edge projects, R&D, and global conferences while working alongside top tier talent in a dynamic, innovative environment. You'll partner with clients to understand their needs and develop impactful analytics solutions. You'll translate business challenges into analytical problems, build models to solve them, and ensure they are evaluated with relevant metrics. Additionally, you'll contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML. Your work will create real world impact. By identifying patterns in data and delivering innovative solutions, you'll help clients maintain a competitive edge and transform their operations-driving measurable, lasting improvements across industries. You'll be based in London and collaborate closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide. Together, you'll work on interdisciplinary projects to solve complex business challenges across various sectors. Partnering with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you'll lead the design and deployment of advanced machine learning and AI solutions that deliver tangible business impact. You'll thrive in an unparalleled environment for growth. You'll connect technology with business value, tackle diverse challenges, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI's transformative potential while advancing as a technologist and leader. YOUR GROWTH Driving lasting impact and building long term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture-doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. YOUR QUALIFICATIONS AND SKILLS Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields 2+ years of professional experience applying machine learning and data mining techniques to solve real world problems with substantial data sets Programming experience (focus on machine learning): SQL and Python's Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice to have Strong understanding of machine learning methods and experience applying them to complex, data rich environments Ability to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data driven solutions Experience deploying ML/AI technologies into production or applied business environments is a plus While we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure Familiarity with Generative AI (GenAI) and agentic systems is a strong plus Excellent time management skills to handle responsibilities in a complex and largely autonomous environment Willingness to travel Strong communication skills, both verbal and written, in English with the ability to adapt your style to different audiences and seniority levels FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
15/07/2026
Full time
Do you want to do work that matters, along side supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will collaborate with clients and interdisciplinary teams to develop advanced analytics solutions, optimize code, and solve complex business challenges across industries. You'll deepen your expertise by contributing to cutting edge projects, R&D, and global conferences while working alongside top tier talent in a dynamic, innovative environment. You'll partner with clients to understand their needs and develop impactful analytics solutions. You'll translate business challenges into analytical problems, build models to solve them, and ensure they are evaluated with relevant metrics. Additionally, you'll contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML. Your work will create real world impact. By identifying patterns in data and delivering innovative solutions, you'll help clients maintain a competitive edge and transform their operations-driving measurable, lasting improvements across industries. You'll be based in London and collaborate closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide. Together, you'll work on interdisciplinary projects to solve complex business challenges across various sectors. Partnering with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you'll lead the design and deployment of advanced machine learning and AI solutions that deliver tangible business impact. You'll thrive in an unparalleled environment for growth. You'll connect technology with business value, tackle diverse challenges, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI's transformative potential while advancing as a technologist and leader. YOUR GROWTH Driving lasting impact and building long term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture-doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. YOUR QUALIFICATIONS AND SKILLS Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields 2+ years of professional experience applying machine learning and data mining techniques to solve real world problems with substantial data sets Programming experience (focus on machine learning): SQL and Python's Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice to have Strong understanding of machine learning methods and experience applying them to complex, data rich environments Ability to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data driven solutions Experience deploying ML/AI technologies into production or applied business environments is a plus While we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure Familiarity with Generative AI (GenAI) and agentic systems is a strong plus Excellent time management skills to handle responsibilities in a complex and largely autonomous environment Willingness to travel Strong communication skills, both verbal and written, in English with the ability to adapt your style to different audiences and seniority levels FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
At FDJ UNITED, we don't just follow the game, we reinvent it. FDJ UNITED is one of Europe's leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you'll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day. We're looking for bold people who are eager to succeed and ready to level up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field. Join us in shaping the future of gaming. What You'll Do Build and run data pipelines that ingest data from sources like Oracle databases, APIs, and SFTP files into our Oracle data warehouse. Write and maintain SQL and PL/SQL (Oracle 19c+) for data processing, reporting, and analytics. Help design and maintain data models (3NF, Star, Snowflake) that support reporting and downstream applications. Develop and maintain dashboards and reports using tools such as Power BI. Investigate data issues, perform root cause analysis, and help resolve data and reporting problems for stakeholders. Collaborate with stakeholders to understand their data and reporting needs and help turn them into practical data solutions. Help support our data platforms, including participating in on call and incident handling on a rotation. Work in an Agile team, contributing to planning, delivery, and continuous improvement. What You Bring Solid experience working with Oracle databases (19c+), using SQL and PL/SQL in production. 5+ years working with large datasets in a data engineering or similar role. Good understanding of data warehousing concepts, data modelling (Star/Snowflake/3NF), and ETL/ELT pipelines. Experience tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands on experience with at least one cloud data platform, ideally AWS (e.g., Redshift, RDS, or similar). Exposure to modern data transformation tools such as dbt or similar frameworks. Basic understanding of cloud concepts (networking, storage, security) and CI/CD for data pipelines. An interest in learning new tools and technologies, and in improving data quality, reliability, and performance. Bonus Skills Experience with other reporting/BI tools such as Power BI or AWS QuickSight. Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery. Some knowledge of Kafka and a programming language (e.g., Python or Java) for building data workflows and automation. Familiarity with AWS services such as S3, Glue, Lambda, EMR, or streaming tools like MSK/Kinesis. Experience with basic data governance, data quality checks, and security practices (e.g., RBAC, encryption, handling PII). Equal Opportunity We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics such as age, gender, origin, religion, sexual orientation, neurodiversity, or disability. Are you ready to LEVEL UP THE GAME?
15/07/2026
Full time
At FDJ UNITED, we don't just follow the game, we reinvent it. FDJ UNITED is one of Europe's leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you'll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day. We're looking for bold people who are eager to succeed and ready to level up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field. Join us in shaping the future of gaming. What You'll Do Build and run data pipelines that ingest data from sources like Oracle databases, APIs, and SFTP files into our Oracle data warehouse. Write and maintain SQL and PL/SQL (Oracle 19c+) for data processing, reporting, and analytics. Help design and maintain data models (3NF, Star, Snowflake) that support reporting and downstream applications. Develop and maintain dashboards and reports using tools such as Power BI. Investigate data issues, perform root cause analysis, and help resolve data and reporting problems for stakeholders. Collaborate with stakeholders to understand their data and reporting needs and help turn them into practical data solutions. Help support our data platforms, including participating in on call and incident handling on a rotation. Work in an Agile team, contributing to planning, delivery, and continuous improvement. What You Bring Solid experience working with Oracle databases (19c+), using SQL and PL/SQL in production. 5+ years working with large datasets in a data engineering or similar role. Good understanding of data warehousing concepts, data modelling (Star/Snowflake/3NF), and ETL/ELT pipelines. Experience tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands on experience with at least one cloud data platform, ideally AWS (e.g., Redshift, RDS, or similar). Exposure to modern data transformation tools such as dbt or similar frameworks. Basic understanding of cloud concepts (networking, storage, security) and CI/CD for data pipelines. An interest in learning new tools and technologies, and in improving data quality, reliability, and performance. Bonus Skills Experience with other reporting/BI tools such as Power BI or AWS QuickSight. Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery. Some knowledge of Kafka and a programming language (e.g., Python or Java) for building data workflows and automation. Familiarity with AWS services such as S3, Glue, Lambda, EMR, or streaming tools like MSK/Kinesis. Experience with basic data governance, data quality checks, and security practices (e.g., RBAC, encryption, handling PII). Equal Opportunity We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics such as age, gender, origin, religion, sexual orientation, neurodiversity, or disability. Are you ready to LEVEL UP THE GAME?
Alpha Data Services seeks team player with strong experience and analytics interest in the content and management of data within Order Management systems used for trading and decision support as part of the growth in demand within Alpha Data services and our clients.State Street is making a multi-year strategic investment in Alpha Data Services, we need a strong Data practitioner to work with internal teams, clients and prospects to ensure our services continue to mitigate the risk of modelling, trading and regulatory reporting errors which could arise from inaccurate data within our platforms as part of our ongoing service delivery team.We are seeking a detail-oriented and analytical data specialist to join our Data team with experience and knowledge of Asset Management functions and platform content.This role is critical in ensuring the integrity, accuracy, and availability of data used across investment, risk, compliance, and client reporting functions. The ideal candidate will have a strong understanding of financial instruments, data governance, and data quality frameworks, with hands-on experience in SQL and programming languages to support data mapping, transformation, and analysis.The role is accountable for ensuring that ADS commitments are clearly documented and managed and for managing the risk of delays slippage and communications out to the wider team.The successful candidate will work within a data operations and governance model, supporting both BAU processes and continuous improvement initiatives to enhance data quality, reduce exceptions, and strengthen platform reliability. This aligns with the ADS mandate to provide data enrichment, validation, and issue remediation across the Alpha Data Platform.ResponsibilitiesTake ownership of the long term improvement of content across all data domains, ensuring reference data and configuration continue to support the core functioning of the platform.In partnership with Operations and Alpha Data Service teams, ensure robust oversight and objective measurement of services delivered.Collaborate across content support analysts, providing mentorship and technical training on CRD and ADP to build cross domain knowledge of the teamData Quality & GovernanceMonitor, validate, and maintain high-quality reference data across CRD (e.g., securities, issuers, pricing, curves)Investigate and resolve data exceptions, discrepancies, and breaks impacting trading and downstream processesPerform root cause analysis and drive remediation of recurring data issuesSupport implementation of data quality rules, controls, and governance frameworksEDM / CRIMS Data ManagementOversee security master and reference data within Charles River (CRIMS / EDM), including: instrument setup and enrichment; market/broker/settlement data; pricing and curve data; configuration and validation rules.Govern execution of BAU data updates, bulk uploads, and configuration changes in line with governance standards.Execute thematic data updates, bulk uploads, and configuration changes in line with governance standardsOperational SupportLeveraging Data insights and Analytics the role requires the Candidate to pro-actively oversee and improve the data delivery and capability, configurations across all clients to build best practice guides and align clients into a consistent and scalable operating model for BAUEnsure data is continuously improves in terms of timing and fit for purpose for front office consumptionDrive automation improvements and process re-engineering to improve operational scalability through incorporation of Agentic AI models and reimagining workflows to reduce operational user need.Analytics & ReportingWork with the Insights & Analytics teams to mature and maintain dashboards and reports to track data availability metrics with regular cadence with End-to-End test teams to ensure they are leveraging themProvide support to client EDM Professional Services teams and Model office teams to ensure Model office is tested and managedAssist in the automation of data validation and testing practices in Model officeStakeholder EngagementLiaise with internal stakeholders to understand data requirements and deliver solutions.Act as a point of contact for data-related queries and issue resolution.Support timely delivery of solution and change initiatives for our clients with accurate and timely data.What we valueSkills and competenciesStrong experience with Order Management Systems such as AIM, Charles River, or AladdinProven expertise in security master and reference data managementSolid understanding of front-to-back investment data flows (Front Office, Middle Office, Back Office)Hands-on experience in:Data quality managementException handling and reconciliationRoot cause analysisProficient in SQL/ Python and use of AI to generate code to improve data analysis techniquesExcellent analytical and problem-solving capabilitiesHigh level of attention to detail with a strong focus on data accuracyEffective communication and stakeholder management skillsAbility to work both independently and collaboratively within cross-functional teamsProactive mindset with a strong focus on continuous improvementStrong influencing and collaboration skills, with the ability to present information clearly and respond to senior stakeholders, clients, and prospectsAbility to identify trends and patterns through detailed data analysisSkilled in creating clear, impactful data visualisationsCreative thinker with a practical approach to problem-solvingEducation & Preferred QualificationsBachelor's degree in finance, Economics, Computer Science, Data Science, or a related field.Experience in data analysis or data management within asset management or financial services.Experience with data management platforms and market data providers (e.g., Bloomberg, Refinitiv).Knowledge of data governance frameworks and regulatory requirements (e.g., MiFID II, ESG reporting) is a plus.Strong understanding of financial instruments (equities, fixed income, derivatives).Experience with SQL and Python or similar languages for data transformation and automation.About State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.Discover more information on jobs at our CEO Statement
15/07/2026
Full time
Alpha Data Services seeks team player with strong experience and analytics interest in the content and management of data within Order Management systems used for trading and decision support as part of the growth in demand within Alpha Data services and our clients.State Street is making a multi-year strategic investment in Alpha Data Services, we need a strong Data practitioner to work with internal teams, clients and prospects to ensure our services continue to mitigate the risk of modelling, trading and regulatory reporting errors which could arise from inaccurate data within our platforms as part of our ongoing service delivery team.We are seeking a detail-oriented and analytical data specialist to join our Data team with experience and knowledge of Asset Management functions and platform content.This role is critical in ensuring the integrity, accuracy, and availability of data used across investment, risk, compliance, and client reporting functions. The ideal candidate will have a strong understanding of financial instruments, data governance, and data quality frameworks, with hands-on experience in SQL and programming languages to support data mapping, transformation, and analysis.The role is accountable for ensuring that ADS commitments are clearly documented and managed and for managing the risk of delays slippage and communications out to the wider team.The successful candidate will work within a data operations and governance model, supporting both BAU processes and continuous improvement initiatives to enhance data quality, reduce exceptions, and strengthen platform reliability. This aligns with the ADS mandate to provide data enrichment, validation, and issue remediation across the Alpha Data Platform.ResponsibilitiesTake ownership of the long term improvement of content across all data domains, ensuring reference data and configuration continue to support the core functioning of the platform.In partnership with Operations and Alpha Data Service teams, ensure robust oversight and objective measurement of services delivered.Collaborate across content support analysts, providing mentorship and technical training on CRD and ADP to build cross domain knowledge of the teamData Quality & GovernanceMonitor, validate, and maintain high-quality reference data across CRD (e.g., securities, issuers, pricing, curves)Investigate and resolve data exceptions, discrepancies, and breaks impacting trading and downstream processesPerform root cause analysis and drive remediation of recurring data issuesSupport implementation of data quality rules, controls, and governance frameworksEDM / CRIMS Data ManagementOversee security master and reference data within Charles River (CRIMS / EDM), including: instrument setup and enrichment; market/broker/settlement data; pricing and curve data; configuration and validation rules.Govern execution of BAU data updates, bulk uploads, and configuration changes in line with governance standards.Execute thematic data updates, bulk uploads, and configuration changes in line with governance standardsOperational SupportLeveraging Data insights and Analytics the role requires the Candidate to pro-actively oversee and improve the data delivery and capability, configurations across all clients to build best practice guides and align clients into a consistent and scalable operating model for BAUEnsure data is continuously improves in terms of timing and fit for purpose for front office consumptionDrive automation improvements and process re-engineering to improve operational scalability through incorporation of Agentic AI models and reimagining workflows to reduce operational user need.Analytics & ReportingWork with the Insights & Analytics teams to mature and maintain dashboards and reports to track data availability metrics with regular cadence with End-to-End test teams to ensure they are leveraging themProvide support to client EDM Professional Services teams and Model office teams to ensure Model office is tested and managedAssist in the automation of data validation and testing practices in Model officeStakeholder EngagementLiaise with internal stakeholders to understand data requirements and deliver solutions.Act as a point of contact for data-related queries and issue resolution.Support timely delivery of solution and change initiatives for our clients with accurate and timely data.What we valueSkills and competenciesStrong experience with Order Management Systems such as AIM, Charles River, or AladdinProven expertise in security master and reference data managementSolid understanding of front-to-back investment data flows (Front Office, Middle Office, Back Office)Hands-on experience in:Data quality managementException handling and reconciliationRoot cause analysisProficient in SQL/ Python and use of AI to generate code to improve data analysis techniquesExcellent analytical and problem-solving capabilitiesHigh level of attention to detail with a strong focus on data accuracyEffective communication and stakeholder management skillsAbility to work both independently and collaboratively within cross-functional teamsProactive mindset with a strong focus on continuous improvementStrong influencing and collaboration skills, with the ability to present information clearly and respond to senior stakeholders, clients, and prospectsAbility to identify trends and patterns through detailed data analysisSkilled in creating clear, impactful data visualisationsCreative thinker with a practical approach to problem-solvingEducation & Preferred QualificationsBachelor's degree in finance, Economics, Computer Science, Data Science, or a related field.Experience in data analysis or data management within asset management or financial services.Experience with data management platforms and market data providers (e.g., Bloomberg, Refinitiv).Knowledge of data governance frameworks and regulatory requirements (e.g., MiFID II, ESG reporting) is a plus.Strong understanding of financial instruments (equities, fixed income, derivatives).Experience with SQL and Python or similar languages for data transformation and automation.About State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.Discover more information on jobs at our CEO Statement
Required Skills Data Architect Azure London Job Summary Data Architect - Insurance (Azure Data Platform) We're working with a leading organisation investing heavily in its data and analytics capabilities, and they're looking for an experienced Data Architect with a strong Insurance background to help shape the next generation of their Azure data platform. This is a strategic architecture role where you'll define enterprise-wide data solutions, build scalable cloud-based platforms and help turn complex insurance data into a genuine business asset. Day to Day Design end-to-end data architecture across underwriting, claims, policy administration, actuarial and finance functions Define data models, integration frameworks and enterprise data standards Lead the architecture of modern Azure-based data platforms, including Data Lake, Lakehouse and Data Warehouse environments Drive the design of scalable data pipelines, ETL/ELT frameworks and integration patterns Establish governance, data quality and security standards across the platform Support cloud migration and legacy modernisation initiatives Provide architectural leadership to engineering, analytics and business teams Engage senior stakeholders and act as a trusted advisor on data transformation programmes Skills required Proven experience in Data Architecture within the Insurance sector Strong knowledge of Life, General Insurance or Reinsurance data environments Deep expertise across Azure Data Factory, Synapse Analytics, ADLS and Databricks Strong understanding of Data Warehousing, Lakehouse architecture and modern data platforms Experience with Kimball, Inmon or Data Vault modelling approaches Knowledge of data governance, security and regulatory requirements including GDPR, IFRS 17 or Solvency II Strong stakeholder management and communication skills Experience leading enterprise-scale data transformation programmes Nice To Have Azure certifications Experience with Kafka or Event Hubs Exposure to AI, ML or advanced analytics platforms Cloud migration and legacy platform modernisation experience This is an opportunity to play a key role in a major data transformation programme, influencing architecture decisions that will support analytics, reporting and business growth for years to come.
14/07/2026
Full time
Required Skills Data Architect Azure London Job Summary Data Architect - Insurance (Azure Data Platform) We're working with a leading organisation investing heavily in its data and analytics capabilities, and they're looking for an experienced Data Architect with a strong Insurance background to help shape the next generation of their Azure data platform. This is a strategic architecture role where you'll define enterprise-wide data solutions, build scalable cloud-based platforms and help turn complex insurance data into a genuine business asset. Day to Day Design end-to-end data architecture across underwriting, claims, policy administration, actuarial and finance functions Define data models, integration frameworks and enterprise data standards Lead the architecture of modern Azure-based data platforms, including Data Lake, Lakehouse and Data Warehouse environments Drive the design of scalable data pipelines, ETL/ELT frameworks and integration patterns Establish governance, data quality and security standards across the platform Support cloud migration and legacy modernisation initiatives Provide architectural leadership to engineering, analytics and business teams Engage senior stakeholders and act as a trusted advisor on data transformation programmes Skills required Proven experience in Data Architecture within the Insurance sector Strong knowledge of Life, General Insurance or Reinsurance data environments Deep expertise across Azure Data Factory, Synapse Analytics, ADLS and Databricks Strong understanding of Data Warehousing, Lakehouse architecture and modern data platforms Experience with Kimball, Inmon or Data Vault modelling approaches Knowledge of data governance, security and regulatory requirements including GDPR, IFRS 17 or Solvency II Strong stakeholder management and communication skills Experience leading enterprise-scale data transformation programmes Nice To Have Azure certifications Experience with Kafka or Event Hubs Exposure to AI, ML or advanced analytics platforms Cloud migration and legacy platform modernisation experience This is an opportunity to play a key role in a major data transformation programme, influencing architecture decisions that will support analytics, reporting and business growth for years to come.
.Security Engineer III page is loaded Security Engineer IIIlocations: Oxfordtime type: Full timeposted on: Posted Todayjob requisition id: R112063 About our Team You'll be joining the Security Engineering team within Elsevier's Information Security & Data Protection department. Our team is responsible for designing, implementing, configuring, and maintaining security tools used across Elsevier Technology. You will collaborate with colleagues from Incident Response, Threat Engineering, Governance Risk & Compliance (GRC), and work closely with business users to ensure our security tools are effectively adopted throughout our cloud infrastructure. About the Role We are seeking candidates with a passion for cybersecurity. You should have a solid understanding of security tools, cloud technologies, and DevOps methodologies. We value practical experience applying IT security principles across areas such as Network Security, Security Operations, Vulnerability Management, Risk Management, and Incident Response. Responsibilities Collaborate within the security engineering team to design and implement security tooling. Design, build, and maintain AWS cloud infrastructure using Infrastructure as Code (Terraform) Create and support CI/CD pipelines using GitHub Actions to enable reliable, automated deployments Collaborate with engineering teams on architecture, reliability, and continuous improvement Partner with software development teams to ensure effective adoption of security tools. Implement monitoring, logging, and alerting to improve system reliability and visibility Support resilience through capacity planning, performance tuning, disaster recovery, and runbooks Troubleshoot issues efficiently and communicate outcomes clearly. Deliver production-ready systems on time and within budget. Requirements We recognize that no one will meet every requirement. If you are excited about this role and have relevant experience, we encourage you to apply. Demonstrated knowledge of IT security tools and cloud computing, including security services in AWS, Oracle Cloud Infrastructure (OCI), or Aliyun. Experience with CI/CD pipelines (e.g., GitHub Actions). Familiarity with AI tools (such as GitHub Copilot or ChatGPT Enterprise) to enhance security outcomes. Ability to analyze and monitor security systems using tools such as NewRelic or CloudWatch. Proficiency in scripting and/or application development (e.g., Python, Shell scripting). Experience working with security tools such as SIEM, Data Loss Prevention (DLP), Endpoint Detection & Response (EDR), Firewalls, Intrusion Detection/Prevention Systems (IDS/IPS), or code analysis tools. Experience with cloud environments (AWS or others), virtualization, containerization, or infrastructure as code. Exposure to Agile and/or DevOps frameworks. Interest in emerging industry standards for security in technology environments. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
14/07/2026
Full time
.Security Engineer III page is loaded Security Engineer IIIlocations: Oxfordtime type: Full timeposted on: Posted Todayjob requisition id: R112063 About our Team You'll be joining the Security Engineering team within Elsevier's Information Security & Data Protection department. Our team is responsible for designing, implementing, configuring, and maintaining security tools used across Elsevier Technology. You will collaborate with colleagues from Incident Response, Threat Engineering, Governance Risk & Compliance (GRC), and work closely with business users to ensure our security tools are effectively adopted throughout our cloud infrastructure. About the Role We are seeking candidates with a passion for cybersecurity. You should have a solid understanding of security tools, cloud technologies, and DevOps methodologies. We value practical experience applying IT security principles across areas such as Network Security, Security Operations, Vulnerability Management, Risk Management, and Incident Response. Responsibilities Collaborate within the security engineering team to design and implement security tooling. Design, build, and maintain AWS cloud infrastructure using Infrastructure as Code (Terraform) Create and support CI/CD pipelines using GitHub Actions to enable reliable, automated deployments Collaborate with engineering teams on architecture, reliability, and continuous improvement Partner with software development teams to ensure effective adoption of security tools. Implement monitoring, logging, and alerting to improve system reliability and visibility Support resilience through capacity planning, performance tuning, disaster recovery, and runbooks Troubleshoot issues efficiently and communicate outcomes clearly. Deliver production-ready systems on time and within budget. Requirements We recognize that no one will meet every requirement. If you are excited about this role and have relevant experience, we encourage you to apply. Demonstrated knowledge of IT security tools and cloud computing, including security services in AWS, Oracle Cloud Infrastructure (OCI), or Aliyun. Experience with CI/CD pipelines (e.g., GitHub Actions). Familiarity with AI tools (such as GitHub Copilot or ChatGPT Enterprise) to enhance security outcomes. Ability to analyze and monitor security systems using tools such as NewRelic or CloudWatch. Proficiency in scripting and/or application development (e.g., Python, Shell scripting). Experience working with security tools such as SIEM, Data Loss Prevention (DLP), Endpoint Detection & Response (EDR), Firewalls, Intrusion Detection/Prevention Systems (IDS/IPS), or code analysis tools. Experience with cloud environments (AWS or others), virtualization, containerization, or infrastructure as code. Exposure to Agile and/or DevOps frameworks. Interest in emerging industry standards for security in technology environments. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Senior Product Security Engineer IIApplylocations: Oxford: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R113910 Are you passionate about building secure software at scale and embedding security into every stage of the development lifecycle? Do you enjoy collaborating with engineering teams to drive practical, secure-by-design solutions that reduce risk and improve delivery outcomes? About the Role You will contribute to strengthening secure software delivery across engineering teams by embedding security practices, tools, and automation into development workflows. This role focuses on enabling teams to build secure applications and CI/CD pipelines through practical guidance, reusable solutions, and improved processes. You will work across teams to reduce risk, improve reliability, and support secure-by-default delivery at scale. Responsibilities Partner with development teams to improve secure software delivery practices across applications and CI/CD pipelines Support triage and remediation of application security findings through practical guidance and secure refactoring recommendations Facilitate threat modelling activities and translate outcomes into actionable improvements and risk reduction measures Design and maintain secure-by-default delivery patterns, reusable templates, and reference implementations Support adoption of centrally managed tooling and automated security controls Develop integrations and automation to enable security validation, audit evidence generation, and operational metrics Collaborate with platform, architecture, and security teams to improve processes, tooling, and delivery capabilities Communicate security guidance, standards, and best practices to stakeholders Requirements Experience in application security, software engineering, or product security Knowledge of application security principles, common vulnerabilities, and secure coding practices across multiple technology stacks 5+ years of application security, software engineering, or product security experience. BS Engineering/Computer Science or equivalent experience required. Understanding of CI/CD security, including pipeline controls, identity and access management, and secrets handling Experience integrating automated security tooling into software delivery workflows Experience developing reusable templates, standards, and reference implementations Familiarity with security automation, compliance support, and audit evidence generation Awareness of industry security standards and best practices Strong collaboration, communication, analytical, troubleshooting, and problem-solving skills Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
14/07/2026
Full time
Senior Product Security Engineer IIApplylocations: Oxford: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R113910 Are you passionate about building secure software at scale and embedding security into every stage of the development lifecycle? Do you enjoy collaborating with engineering teams to drive practical, secure-by-design solutions that reduce risk and improve delivery outcomes? About the Role You will contribute to strengthening secure software delivery across engineering teams by embedding security practices, tools, and automation into development workflows. This role focuses on enabling teams to build secure applications and CI/CD pipelines through practical guidance, reusable solutions, and improved processes. You will work across teams to reduce risk, improve reliability, and support secure-by-default delivery at scale. Responsibilities Partner with development teams to improve secure software delivery practices across applications and CI/CD pipelines Support triage and remediation of application security findings through practical guidance and secure refactoring recommendations Facilitate threat modelling activities and translate outcomes into actionable improvements and risk reduction measures Design and maintain secure-by-default delivery patterns, reusable templates, and reference implementations Support adoption of centrally managed tooling and automated security controls Develop integrations and automation to enable security validation, audit evidence generation, and operational metrics Collaborate with platform, architecture, and security teams to improve processes, tooling, and delivery capabilities Communicate security guidance, standards, and best practices to stakeholders Requirements Experience in application security, software engineering, or product security Knowledge of application security principles, common vulnerabilities, and secure coding practices across multiple technology stacks 5+ years of application security, software engineering, or product security experience. BS Engineering/Computer Science or equivalent experience required. Understanding of CI/CD security, including pipeline controls, identity and access management, and secrets handling Experience integrating automated security tooling into software delivery workflows Experience developing reusable templates, standards, and reference implementations Familiarity with security automation, compliance support, and audit evidence generation Awareness of industry security standards and best practices Strong collaboration, communication, analytical, troubleshooting, and problem-solving skills Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real world challenges with data? About the role We are seeking a Data Scientist III to help design and validate Agentic AI driven product capabilities within Protégé in PatentSight. The role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex intellectual property (IP) workflows. You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer facing solutions. Key Responsibilities Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large scale text processing. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits. Well being programs. Life assurance. Competitive contributory pension scheme. Save As You Earn share option scheme. Travel season ticket loan. Electric vehicle scheme. Optional dental insurance. Maternity, paternity, and shared parental leave. Employee Assistance Programme. RecaRES days to support charities and causes that matter. Employee resource groups with dedicated volunteer time. Employee discount scheme via Perks at Work. Flexible working hours to support work/life balance. EEO Statement We are an equal opportunity employer. Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
14/07/2026
Full time
Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real world challenges with data? About the role We are seeking a Data Scientist III to help design and validate Agentic AI driven product capabilities within Protégé in PatentSight. The role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex intellectual property (IP) workflows. You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer facing solutions. Key Responsibilities Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large scale text processing. Benefits Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits. Well being programs. Life assurance. Competitive contributory pension scheme. Save As You Earn share option scheme. Travel season ticket loan. Electric vehicle scheme. Optional dental insurance. Maternity, paternity, and shared parental leave. Employee Assistance Programme. RecaRES days to support charities and causes that matter. Employee resource groups with dedicated volunteer time. Employee discount scheme via Perks at Work. Flexible working hours to support work/life balance. EEO Statement We are an equal opportunity employer. Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Sr. Solutions Engineer (Pre-sales) - Kansai Region Req ID: FEQ427R296 Location : Osaka, Japan As a Pre sales Sr. Solutions Engineer (Analytics, AI, Big Data, Public Cloud) - Kansai Region, your mission will be to drive successful technical evaluations and solution design Solutions Architect (Pre-sales) - Kansai Region Req ID: FEQ227R81 Location : Osaka, Japan As a Pre sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) - Kansai Region, your mission will be to drive successful technical evaluations and solutio
14/07/2026
Full time
Sr. Solutions Engineer (Pre-sales) - Kansai Region Req ID: FEQ427R296 Location : Osaka, Japan As a Pre sales Sr. Solutions Engineer (Analytics, AI, Big Data, Public Cloud) - Kansai Region, your mission will be to drive successful technical evaluations and solution design Solutions Architect (Pre-sales) - Kansai Region Req ID: FEQ227R81 Location : Osaka, Japan As a Pre sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) - Kansai Region, your mission will be to drive successful technical evaluations and solutio
About the Role As a Python Developer within the Wholesale Credit Quantitative Research Core team, you will play a central role in building and maintaining Nova - the firm's strategic platform for Loan Loss Forecasting models. Nova is built within JPMorgan's Athena platform and underpins critical regulatory and business processes including CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite forecasting. You will be responsible for designing and implementing the core frameworks and libraries that model developers rely on to build, test, and deploy forecasting models at scale. This is a hands on engineering role that demands strong software craftsmanship, quantitative aptitude, and the ability to translate partially defined business needs into robust, production quality systems. You will work closely with quantitative researchers, model governance, technology partners, and wholesale credit business stakeholders. Job Responsibilities Design, build, and maintain the core Python frameworks and libraries that power Nova, ensuring they are performant, extensible, and easy for model developers to integrate with Develop and enhance the calculation engine and related tooling for loan loss forecasting models, supporting CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite requirements Implement high performance numerical algorithms using Python scientific computing libraries including NumPy, Pandas, and DuckDB Champion test driven development practices across the team, building and maintaining comprehensive unit, integration, and regression test suites to ensure framework reliability Take partially specified problems and business needs from stakeholders and translate them into concrete technical requirements, designs, and implementation plans Leverage LLM based coding tools (e.g., GitHub Copilot, Claude) to accelerate development velocity, drive code quality, and maximize team productivity Perform peer code reviews with a focus on correctness, performance, maintainability, and adherence to team standards Prepare clear and thorough technical documentation covering design decisions, implementation details, and testing strategies Partner with model developers, product and business stakeholders during the implementation, testing, and operationalization of forecasting processes Present regular updates on development progress, technical decisions, and platform roadmap to senior management and cross functional stakeholders Investigate and debug counter intuitive observations in model forecasts, performing root cause analysis at the framework and data level Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative discipline Minimum 5 years of experience in quantitative software development within a financial services environment (e.g., banking, asset management, hedge fund, fintech) Advanced proficiency in Python with deep experience in object oriented design, design patterns, and building production grade frameworks and libraries Strong working knowledge of NumPy and Pandas for numerical computing and data manipulation Demonstrated experience with test driven development and building systems with rigorous unit, integration, and regression test coverage (e.g., pytest, unittest) Strong analytical, quantitative, and problem solving skills with the ability to reason about complex model behavior and data flows Excellent written and verbal communication skills, with the confidence to present technical concepts to both technical and non technical audiences Proven ability to operate as a self starter: taking ambiguous or partially specified problems and driving them through to well defined technical solutions Proficiency with LLM based coding tools and a track record of leveraging AI assistants to meaningfully increase development productivity and code quality Preferred Qualifications, Capabilities, and Skills Experience with DuckDB or similar in process analytical databases for high performance data querying and transformation Knowledge of credit risk concepts including Wholesale Credit, CCAR/DFAST stress testing, CECL/IFRS 9 allowance, and Basel III regulatory capital Experience working with or building upon large scale analytics platforms (e.g., JPMorgan Athena or comparable quantitative computing environments) Familiarity with distributed computing frameworks and techniques for scaling numerical workloads Knowledge of statistical modeling, Monte Carlo simulation, and time series forecasting methodologies Ability to work effectively with large datasets and practical knowledge of SQL and database systems Proven ability to build collaborative relationships with cross functional partners including model developers, business stakeholders, and technology teams Equal Employment Opportunity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.
14/07/2026
Full time
About the Role As a Python Developer within the Wholesale Credit Quantitative Research Core team, you will play a central role in building and maintaining Nova - the firm's strategic platform for Loan Loss Forecasting models. Nova is built within JPMorgan's Athena platform and underpins critical regulatory and business processes including CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite forecasting. You will be responsible for designing and implementing the core frameworks and libraries that model developers rely on to build, test, and deploy forecasting models at scale. This is a hands on engineering role that demands strong software craftsmanship, quantitative aptitude, and the ability to translate partially defined business needs into robust, production quality systems. You will work closely with quantitative researchers, model governance, technology partners, and wholesale credit business stakeholders. Job Responsibilities Design, build, and maintain the core Python frameworks and libraries that power Nova, ensuring they are performant, extensible, and easy for model developers to integrate with Develop and enhance the calculation engine and related tooling for loan loss forecasting models, supporting CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite requirements Implement high performance numerical algorithms using Python scientific computing libraries including NumPy, Pandas, and DuckDB Champion test driven development practices across the team, building and maintaining comprehensive unit, integration, and regression test suites to ensure framework reliability Take partially specified problems and business needs from stakeholders and translate them into concrete technical requirements, designs, and implementation plans Leverage LLM based coding tools (e.g., GitHub Copilot, Claude) to accelerate development velocity, drive code quality, and maximize team productivity Perform peer code reviews with a focus on correctness, performance, maintainability, and adherence to team standards Prepare clear and thorough technical documentation covering design decisions, implementation details, and testing strategies Partner with model developers, product and business stakeholders during the implementation, testing, and operationalization of forecasting processes Present regular updates on development progress, technical decisions, and platform roadmap to senior management and cross functional stakeholders Investigate and debug counter intuitive observations in model forecasts, performing root cause analysis at the framework and data level Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative discipline Minimum 5 years of experience in quantitative software development within a financial services environment (e.g., banking, asset management, hedge fund, fintech) Advanced proficiency in Python with deep experience in object oriented design, design patterns, and building production grade frameworks and libraries Strong working knowledge of NumPy and Pandas for numerical computing and data manipulation Demonstrated experience with test driven development and building systems with rigorous unit, integration, and regression test coverage (e.g., pytest, unittest) Strong analytical, quantitative, and problem solving skills with the ability to reason about complex model behavior and data flows Excellent written and verbal communication skills, with the confidence to present technical concepts to both technical and non technical audiences Proven ability to operate as a self starter: taking ambiguous or partially specified problems and driving them through to well defined technical solutions Proficiency with LLM based coding tools and a track record of leveraging AI assistants to meaningfully increase development productivity and code quality Preferred Qualifications, Capabilities, and Skills Experience with DuckDB or similar in process analytical databases for high performance data querying and transformation Knowledge of credit risk concepts including Wholesale Credit, CCAR/DFAST stress testing, CECL/IFRS 9 allowance, and Basel III regulatory capital Experience working with or building upon large scale analytics platforms (e.g., JPMorgan Athena or comparable quantitative computing environments) Familiarity with distributed computing frameworks and techniques for scaling numerical workloads Knowledge of statistical modeling, Monte Carlo simulation, and time series forecasting methodologies Ability to work effectively with large datasets and practical knowledge of SQL and database systems Proven ability to build collaborative relationships with cross functional partners including model developers, business stakeholders, and technology teams Equal Employment Opportunity We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation.
At ABB, we help industries run leaner and cleaner-and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.This position reports to:Production Engineering Manager Join a collaborative team delivering innovative IT and OT solutions within a dynamic manufacturing environment. In this role, you will work closely with cross-functional stakeholders to understand requirements and design, develop, and support applications across the full lifecycle, from specification through to deployment and ongoing improvement. You will build strong relationships with internal customers while applying your expertise in C#, databases, and web technologies to deliver efficient, high-quality solutions. We are looking for a proactive, organised, and detail-focused individual who is comfortable working in a small team and taking ownership of their work. You will also collaborate with infrastructure colleagues and provide occasional support cover, offering an opportunity to broaden your technical experience.Our Team DynamicsOur teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there.What's in it for you?We want you to bring your full self to work-your ideas, your energy, your ambition. You'll have the tools and freedom to grow your skills, shape your path, and take on challenges that matter. Here, your work creates impact you can see and feel, every day.Your Role and ResponsibilitiesIn this role, you'll help run what runs the world, by taking on meaningful work that drives real impact.Lead end-to-end application delivery, from requirements gathering and specification through to development, testing, deployment, and documentationTranslate user issues into clear, actionable problem statements and drive timely, effective resolutionsTroubleshoot and resolve day-to-day factory system issues independently, ensuring minimal disruptionPrioritise and escalate critical incidents appropriately, maintaining operational continuityManage your workload proactively while contributing effectively within a small, collaborative teamDeliver a high standard of customer service, building trust and strong relationships with internal usersEnsure compliance with IT policies, standards, and relevant internal and external regulationsExecute tasks in line with defined processes and RACI responsibilities, maintaining consistency and qualityAlign local solutions with wider business and IT strategies to support overall organisational goalsProvide guidance and support to colleagues by sharing knowledge and monitoring task progress without formal line management responsibilityWork model: onsite from our Stonehouse location Qualifications for the RoleStrong experience in C# and .NET development, including Webforms, WinForms, WPF, and web servicesHands-on experience with IIS, including setup, configuration, and supportSolid knowledge of SQL Server, including database design and writing stored proceduresProficiency in web technologies such as HTML, CSS, and frameworks like AngularDegree-level education with a proactive approach to problem solving and continuous learningExperience with Microsoft Reporting Services, XML, or label printing technologies such as ZPL - desirableExposure to SAP integrations, including BAPI or RFC interfaces - desirableFamiliarity with Microsoft tools such as Power BI or PowerApps - desirableUnderstanding of IT service management frameworks such as ITIL 4 - desirableAwareness of Industry 4.0 concepts and digital manufacturing environments - desirableBenefitsABB offers a full range of benefits to help you thrive at work and beyond.Competitive salary25 days annual leave plus bank holidaysCompetitive contributory pension schemeLife assuranceFlexible benefits scheme (Includes options to buy/sell holidays, health checks, dental, eye care, gym memberships, cycle to work, gadget discounts and more)Internal mobility opportunities, mentorships & access to projects globallyEmployee Assistance ProgrammeGenerous employee referral schemeFor the 6th consecutive year ABB UK has been recognised as a Top Employer in UK. Being certified as a Top Employer showcases an organisation's dedication to a better world of work and exhibits this through excellent HR policies and people practices.More about usThe Measurement & Analytics Division is among the world's leading manufacturers and suppliers of smart instrumentation and analyzers, working at the heart of industrial digital transformation. The Measurement & Analytics Division's portfolio consists of analyzers measuring compositions of gases and liquids; instrumentation measuring process variables such as temperature, pressure, flow, and level; force measurement solutions measuring parameters such as flatness, thickness, and tension; and advanced digital solutions for device management, device health check and predictive maintenance. The Measurement & Analytics Division serves key industries such as oil and gas, chemical, water and wastewater, power, hydrogen, batteries, as well as the marine industry. The Division enables the optimization of industrial processes by providing and analyzing data collected from sensing and smart measurement devices. Parameters such as emission levels and production inputs are measured by providing 'before' and 'after' values, enabling efficient operations and environmental sustainability through measurement.Join us. Be part of the team where progress happens, industries transform, and your work shapes the world.Run What Runs the World. a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.Ready to make an impact?Apply today or visit to learn more about the impact of our solutions across the globe.
14/07/2026
Full time
At ABB, we help industries run leaner and cleaner-and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.This position reports to:Production Engineering Manager Join a collaborative team delivering innovative IT and OT solutions within a dynamic manufacturing environment. In this role, you will work closely with cross-functional stakeholders to understand requirements and design, develop, and support applications across the full lifecycle, from specification through to deployment and ongoing improvement. You will build strong relationships with internal customers while applying your expertise in C#, databases, and web technologies to deliver efficient, high-quality solutions. We are looking for a proactive, organised, and detail-focused individual who is comfortable working in a small team and taking ownership of their work. You will also collaborate with infrastructure colleagues and provide occasional support cover, offering an opportunity to broaden your technical experience.Our Team DynamicsOur teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there.What's in it for you?We want you to bring your full self to work-your ideas, your energy, your ambition. You'll have the tools and freedom to grow your skills, shape your path, and take on challenges that matter. Here, your work creates impact you can see and feel, every day.Your Role and ResponsibilitiesIn this role, you'll help run what runs the world, by taking on meaningful work that drives real impact.Lead end-to-end application delivery, from requirements gathering and specification through to development, testing, deployment, and documentationTranslate user issues into clear, actionable problem statements and drive timely, effective resolutionsTroubleshoot and resolve day-to-day factory system issues independently, ensuring minimal disruptionPrioritise and escalate critical incidents appropriately, maintaining operational continuityManage your workload proactively while contributing effectively within a small, collaborative teamDeliver a high standard of customer service, building trust and strong relationships with internal usersEnsure compliance with IT policies, standards, and relevant internal and external regulationsExecute tasks in line with defined processes and RACI responsibilities, maintaining consistency and qualityAlign local solutions with wider business and IT strategies to support overall organisational goalsProvide guidance and support to colleagues by sharing knowledge and monitoring task progress without formal line management responsibilityWork model: onsite from our Stonehouse location Qualifications for the RoleStrong experience in C# and .NET development, including Webforms, WinForms, WPF, and web servicesHands-on experience with IIS, including setup, configuration, and supportSolid knowledge of SQL Server, including database design and writing stored proceduresProficiency in web technologies such as HTML, CSS, and frameworks like AngularDegree-level education with a proactive approach to problem solving and continuous learningExperience with Microsoft Reporting Services, XML, or label printing technologies such as ZPL - desirableExposure to SAP integrations, including BAPI or RFC interfaces - desirableFamiliarity with Microsoft tools such as Power BI or PowerApps - desirableUnderstanding of IT service management frameworks such as ITIL 4 - desirableAwareness of Industry 4.0 concepts and digital manufacturing environments - desirableBenefitsABB offers a full range of benefits to help you thrive at work and beyond.Competitive salary25 days annual leave plus bank holidaysCompetitive contributory pension schemeLife assuranceFlexible benefits scheme (Includes options to buy/sell holidays, health checks, dental, eye care, gym memberships, cycle to work, gadget discounts and more)Internal mobility opportunities, mentorships & access to projects globallyEmployee Assistance ProgrammeGenerous employee referral schemeFor the 6th consecutive year ABB UK has been recognised as a Top Employer in UK. Being certified as a Top Employer showcases an organisation's dedication to a better world of work and exhibits this through excellent HR policies and people practices.More about usThe Measurement & Analytics Division is among the world's leading manufacturers and suppliers of smart instrumentation and analyzers, working at the heart of industrial digital transformation. The Measurement & Analytics Division's portfolio consists of analyzers measuring compositions of gases and liquids; instrumentation measuring process variables such as temperature, pressure, flow, and level; force measurement solutions measuring parameters such as flatness, thickness, and tension; and advanced digital solutions for device management, device health check and predictive maintenance. The Measurement & Analytics Division serves key industries such as oil and gas, chemical, water and wastewater, power, hydrogen, batteries, as well as the marine industry. The Division enables the optimization of industrial processes by providing and analyzing data collected from sensing and smart measurement devices. Parameters such as emission levels and production inputs are measured by providing 'before' and 'after' values, enabling efficient operations and environmental sustainability through measurement.Join us. Be part of the team where progress happens, industries transform, and your work shapes the world.Run What Runs the World. a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.Ready to make an impact?Apply today or visit to learn more about the impact of our solutions across the globe.
. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
13/07/2026
Full time
. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with full stack development, across back-end such as Kotlin, C++ codebases, and front-end experience including TypeScript or equivalent. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: 1 year of experience with application development in Android or iOS. Experience working with Dart or Angular and Java. Experience designing and implementing developer-facing APIs, SDKs, or cross-platform wrappers. Experience building monetization platforms, ad configuration interfaces, or automated runtime engines. Experience leveraging LLM APIs, generative AI tools, or modern AI-assisted workflows to build smart product features or improve engineering velocity. About the job the company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. the company Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and the company. We're made up of multiple teams, building the company's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable the company to engage with customers at scale. Responsibilities Design, develop, and maintain clean, scalable products for developer-facing monetization platforms and ad configuration interfaces. Build automated runtime solutions and event-driven systems that control and optimize ad placement, policy compliance, and publisher revenue. Leverage the company's state-of-the-art AI tooling and LLM APIs to improve engineering velocity and build AI-augmented product features. Collaborate with cross-functional partners including PMs, UX, and cross-sites with other engineering partners to deliver seamless end-to-end features. Write robust, well-tested, and high-performance code, ensuring high quality and reliability across our platform. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
13/07/2026
Full time
Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with full stack development, across back-end such as Kotlin, C++ codebases, and front-end experience including TypeScript or equivalent. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: 1 year of experience with application development in Android or iOS. Experience working with Dart or Angular and Java. Experience designing and implementing developer-facing APIs, SDKs, or cross-platform wrappers. Experience building monetization platforms, ad configuration interfaces, or automated runtime engines. Experience leveraging LLM APIs, generative AI tools, or modern AI-assisted workflows to build smart product features or improve engineering velocity. About the job the company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. the company Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and the company. We're made up of multiple teams, building the company's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable the company to engage with customers at scale. Responsibilities Design, develop, and maintain clean, scalable products for developer-facing monetization platforms and ad configuration interfaces. Build automated runtime solutions and event-driven systems that control and optimize ad placement, policy compliance, and publisher revenue. Leverage the company's state-of-the-art AI tooling and LLM APIs to improve engineering velocity and build AI-augmented product features. Collaborate with cross-functional partners including PMs, UX, and cross-sites with other engineering partners to deliver seamless end-to-end features. Write robust, well-tested, and high-performance code, ensuring high quality and reliability across our platform. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Data Scientist IIIApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114916 Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the te am: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to the employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
13/07/2026
Full time
Data Scientist IIIApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114916 Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the te am: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to the employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.Elsevier is part of RELX Group.Let's shape progress together. Join
12/07/2026
Full time
. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.Elsevier is part of RELX Group.Let's shape progress together. Join
A global information and analytics leader in Greater London is seeking a Senior Software Engineer II to focus on generative AI and platform architecture. In this role, you will lead architectural designs, develop AI services using Python, and collaborate across cross-functional teams. The ideal candidate has over 5 years of software engineering experience, proven leadership in platform architecture, and a strong background in Python and Kubernetes. The position promotes flexible working hours and offers a variety of benefits.
12/07/2026
Full time
A global information and analytics leader in Greater London is seeking a Senior Software Engineer II to focus on generative AI and platform architecture. In this role, you will lead architectural designs, develop AI services using Python, and collaborate across cross-functional teams. The ideal candidate has over 5 years of software engineering experience, proven leadership in platform architecture, and a strong background in Python and Kubernetes. The position promotes flexible working hours and offers a variety of benefits.
