Data Engineer II Are you passionate about building scalable, high-performance data-driven applications? Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact? About the team The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI driven research solutions. As a Junior Data Engineer, you will work hands on building and maintaining data pipelines and services, growing your skills alongside experienced engineers in a collaborative team environment. About the role This position is suited for an early career professional with 2-3 years of experience who will contribute to research, design, and software development assignments within a software functional area or product line. Working under the guidance of senior team members, this position supports project delivery by participating in planning discussions and following established methodologies. The role involves contributing to software design at the component level, learning and applying best practices through hands on work and code reviews, and developing communication skills by engaging with team members to understand requirements and translate them into solutions. Key responsibilities Building and maintaining data pipelines and services under the guidance of senior engineers. Working with technologies such as Python, SQL, Spark, and Airflow to process large-scale data. Using AI assisted development tools such as Claude Code, Copilot, or Codex as part of your workflow. Contributing to ELT and ETL pipelines for data ingestion into search, graph, and relational data stores. Writing clean, well tested code and learning best practice software engineering principles, including CI/CD. Contributing to cloud infrastructure on AWS, with support from the wider team. Participating in code reviews and actively seeking feedback to accelerate your growth. Collaborating with product, platform, and data science teams to deliver business value. Requirements 2-3 years of commercial experience as a data or software engineer, including some exposure to production systems. Proficiency in Python, SQL, and Spark. Basic understanding of data engineering concepts including batch processing and relational databases. Some hands on experience with data pipeline tools; exposure to Spark or Airflow is a plus. Familiarity with cloud platforms (preferably AWS); production experience is not required. A collaborative mindset and willingness to learn and communicate openly within the team. Nice to have: Exposure to data lake concepts or formats such as Delta Lake or Iceberg. Any experience with search, graph, or large scale analytical databases. Interest in AI, machine learning pipelines, or embedding generation. Equal Opportunity Employment Elsevier is 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.
06/08/2026
Full time
Data Engineer II Are you passionate about building scalable, high-performance data-driven applications? Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact? About the team The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI driven research solutions. As a Junior Data Engineer, you will work hands on building and maintaining data pipelines and services, growing your skills alongside experienced engineers in a collaborative team environment. About the role This position is suited for an early career professional with 2-3 years of experience who will contribute to research, design, and software development assignments within a software functional area or product line. Working under the guidance of senior team members, this position supports project delivery by participating in planning discussions and following established methodologies. The role involves contributing to software design at the component level, learning and applying best practices through hands on work and code reviews, and developing communication skills by engaging with team members to understand requirements and translate them into solutions. Key responsibilities Building and maintaining data pipelines and services under the guidance of senior engineers. Working with technologies such as Python, SQL, Spark, and Airflow to process large-scale data. Using AI assisted development tools such as Claude Code, Copilot, or Codex as part of your workflow. Contributing to ELT and ETL pipelines for data ingestion into search, graph, and relational data stores. Writing clean, well tested code and learning best practice software engineering principles, including CI/CD. Contributing to cloud infrastructure on AWS, with support from the wider team. Participating in code reviews and actively seeking feedback to accelerate your growth. Collaborating with product, platform, and data science teams to deliver business value. Requirements 2-3 years of commercial experience as a data or software engineer, including some exposure to production systems. Proficiency in Python, SQL, and Spark. Basic understanding of data engineering concepts including batch processing and relational databases. Some hands on experience with data pipeline tools; exposure to Spark or Airflow is a plus. Familiarity with cloud platforms (preferably AWS); production experience is not required. A collaborative mindset and willingness to learn and communicate openly within the team. Nice to have: Exposure to data lake concepts or formats such as Delta Lake or Iceberg. Any experience with search, graph, or large scale analytical databases. Interest in AI, machine learning pipelines, or embedding generation. Equal Opportunity Employment Elsevier is 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.
Elsevier is looking for a Data Engineer II to join their team in Greater London. This position is ideal for candidates with 2-3 years of experience in data or software engineering. You will be responsible for building and maintaining data pipelines, leveraging technologies like Python, SQL, and Spark. The role offers an opportunity to work closely with senior engineers and engage in a collaborative environment, enhancing your skills in software design and development. Exposure to AI and cloud technologies is a plus.
06/08/2026
Full time
Elsevier is looking for a Data Engineer II to join their team in Greater London. This position is ideal for candidates with 2-3 years of experience in data or software engineering. You will be responsible for building and maintaining data pipelines, leveraging technologies like Python, SQL, and Spark. The role offers an opportunity to work closely with senior engineers and engage in a collaborative environment, enhancing your skills in software design and development. Exposure to AI and cloud technologies is a plus.
About Our Team Our global team supports products that provide education, electronic health records, and digital charting solutions to help students document care in today's modern clinical environment. We maintain a very stable product and value trust, respect, collaboration, agility, and quality. About the Role This role focuses on delivering secure, reliable software and cloud infrastructure for services where reputation management and security are critical to business success. You will design, build, deploy, and support production ready solutions in AWS, with monitoring, alerting, and CI/CD practices that enable predictable, repeatable releases. Working in a cross functional Agile team, you will also help shape engineering standards, mentor colleagues, and support continuous improvement. Responsibilities Deliver software engineering services for products where reputation management and security are critical to ongoing business success. Build software that meets agreed KPIs and NFRs in production, with stability, scalability, and security in mind. Set up and maintain AWS infrastructure to deploy the developed business logic. Develop monitoring, alerting, and supporting dashboards to help teams operate services effectively. Develop and maintain a high quality engineering pipeline so releases are predictable, repeatable, and reliable. Work effectively as part of a cross functional Agile team and support the products and services the team owns. Help maintain code quality and engineering standards across the team through collaboration and support. Mentor and guide team members, contribute to process improvements, and advocate for positive change. Requirements Experience working with a public cloud such as Amazon Web Services (AWS). Strong experience using GitHub Actions within a CI/CD pipeline. Solid Python knowledge. Experience with front end technologies such as JavaScript and Node. Experience working with Web Application Firewall (WAF) technologies and Cloudflare features. Solid working experience with Git and SQL. Knowledge of Terraform and experience working with Linux. Familiarity with RESTful services, event driven architectures, scripting, testing practices in CI/CD environments, and Agile DevOps ways of working. Working Pattern We promote a healthy work/life balance across the organization. Flexible hours allow you to work when you are most productive. Equal Opportunity 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.
06/08/2026
Full time
About Our Team Our global team supports products that provide education, electronic health records, and digital charting solutions to help students document care in today's modern clinical environment. We maintain a very stable product and value trust, respect, collaboration, agility, and quality. About the Role This role focuses on delivering secure, reliable software and cloud infrastructure for services where reputation management and security are critical to business success. You will design, build, deploy, and support production ready solutions in AWS, with monitoring, alerting, and CI/CD practices that enable predictable, repeatable releases. Working in a cross functional Agile team, you will also help shape engineering standards, mentor colleagues, and support continuous improvement. Responsibilities Deliver software engineering services for products where reputation management and security are critical to ongoing business success. Build software that meets agreed KPIs and NFRs in production, with stability, scalability, and security in mind. Set up and maintain AWS infrastructure to deploy the developed business logic. Develop monitoring, alerting, and supporting dashboards to help teams operate services effectively. Develop and maintain a high quality engineering pipeline so releases are predictable, repeatable, and reliable. Work effectively as part of a cross functional Agile team and support the products and services the team owns. Help maintain code quality and engineering standards across the team through collaboration and support. Mentor and guide team members, contribute to process improvements, and advocate for positive change. Requirements Experience working with a public cloud such as Amazon Web Services (AWS). Strong experience using GitHub Actions within a CI/CD pipeline. Solid Python knowledge. Experience with front end technologies such as JavaScript and Node. Experience working with Web Application Firewall (WAF) technologies and Cloudflare features. Solid working experience with Git and SQL. Knowledge of Terraform and experience working with Linux. Familiarity with RESTful services, event driven architectures, scripting, testing practices in CI/CD environments, and Agile DevOps ways of working. Working Pattern We promote a healthy work/life balance across the organization. Flexible hours allow you to work when you are most productive. Equal Opportunity 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.
A leading science information provider in Greater London is seeking a Senior Software Engineer I to contribute to developing modern web applications using React and Node.js. This role requires a strong collaborative mindset and the ability to adopt AI-assisted development workflows. The ideal candidate has expertise in web development, ensures performance and accessibility, and actively participates in agile methodologies. The position offers flexibility and various employee benefits.
06/08/2026
Full time
A leading science information provider in Greater London is seeking a Senior Software Engineer I to contribute to developing modern web applications using React and Node.js. This role requires a strong collaborative mindset and the ability to adopt AI-assisted development workflows. The ideal candidate has expertise in web development, ensures performance and accessibility, and actively participates in agile methodologies. The position offers flexibility and various employee benefits.
. Senior Software Engineer I (JavaScript) About the team: ScienceDirect is the world's leading collection of science information on the web and Elsevier's flagship product. We are looking for talented engineers to contribute to a culture of technical excellence paired with strong collaboration and modern engineering practices.Our teams are increasingly adopting AI-assisted development workflows About the role: We are seeking a talented and self-motivated Frontend Software Engineer with strong skills in React and Node.js and a collaborative mindset.You will work as part of a cross-functional product development team building modern web applications used by millions of researchers worldwide.Our teams are actively adopting AI-assisted development practices You should be comfortable experimenting with AI to accelerate development while applying strong engineering judgement to ensure code quality, maintainability, and performance. We are not looking for engineers who rely uncritically on AI-generated output; we are looking for engineers who use these tools to improve the quality, speed, and effectiveness of software development. Key responsibilities: Work as part of a highly collaborative, cross-functional, agile product development team to develop modern responsive web applications Implement intuitive, interactive, and visually appealing user interfaces using React Work closely with UX/UI designers to translate design concepts into functional web applications Ensure applications are optimized for performance, accessibility, and responsiveness across devices and browsers Use AI-assisted development tools to help design, implement, refactor, and debug software. Critically evaluate, adapt, and validate AI-generated output to ensure it meets engineering and quality standards Help the team evolve effective AI-supported development workflows. Write well-tested, documented, and peer-reviewed code Work closely with Product Managers and QA to ensure software meets user and business requirements Contribute to engineering best practices, including testing, CI/CD, code review, and continuous improvement Support the growth of the London engineering team through collaboration, knowledge sharing, and participation in recruitment Requirements: Core Engineering Skills Strong knowledge of HTML, CSS, and JavaScript Experience building modern web applications using React Experience working with Node.js, Express, or related backend services Experience working with RESTful APIs Familiarity with agile development practices such as: + Test-Driven Development + Pair Programming + Continuous Integration + Automated testing and deployment Strong collaboration and communication skills with a positive and constructive approach to teamwork AI-Assisted Development Experience We are particularly interested in engineers who actively use AI tools as part of a software engineering workflow .Examples include: Experience using AI coding assistants such as GitHub Copilot, Claude Code, Cursor, Codex, or similar tools Comfort working in an AI-augmented development environment Ability to break work into well-scoped tasks that AI tools can assist with effectively Curiosity about how AI can improve developer productivity, experimentation, and software quality Enthusiasm for exploring and sharing effective ways of using AI in software engineering Experience with these tools is valued, but curiosity and enthusiasm to learn are equally welcome .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: Comprehensive Pension Plan Home, office, or commuting allowance. 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 - ScienceDirect is home to almost one-quarter of the world's peer-reviewed full-text scientific, technical, and medical content.More than 15 million researchers, healthcare professionals, teachers, and students rely on ScienceDirect as a trusted source of nearly 2,200 journals and 26,000 book titles .The platform supports research and education with rich interactive content, including video, graphs, datasets, and images, along with tools that help users discover and stay up to date with relevant research. 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: .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
06/08/2026
Full time
. Senior Software Engineer I (JavaScript) About the team: ScienceDirect is the world's leading collection of science information on the web and Elsevier's flagship product. We are looking for talented engineers to contribute to a culture of technical excellence paired with strong collaboration and modern engineering practices.Our teams are increasingly adopting AI-assisted development workflows About the role: We are seeking a talented and self-motivated Frontend Software Engineer with strong skills in React and Node.js and a collaborative mindset.You will work as part of a cross-functional product development team building modern web applications used by millions of researchers worldwide.Our teams are actively adopting AI-assisted development practices You should be comfortable experimenting with AI to accelerate development while applying strong engineering judgement to ensure code quality, maintainability, and performance. We are not looking for engineers who rely uncritically on AI-generated output; we are looking for engineers who use these tools to improve the quality, speed, and effectiveness of software development. Key responsibilities: Work as part of a highly collaborative, cross-functional, agile product development team to develop modern responsive web applications Implement intuitive, interactive, and visually appealing user interfaces using React Work closely with UX/UI designers to translate design concepts into functional web applications Ensure applications are optimized for performance, accessibility, and responsiveness across devices and browsers Use AI-assisted development tools to help design, implement, refactor, and debug software. Critically evaluate, adapt, and validate AI-generated output to ensure it meets engineering and quality standards Help the team evolve effective AI-supported development workflows. Write well-tested, documented, and peer-reviewed code Work closely with Product Managers and QA to ensure software meets user and business requirements Contribute to engineering best practices, including testing, CI/CD, code review, and continuous improvement Support the growth of the London engineering team through collaboration, knowledge sharing, and participation in recruitment Requirements: Core Engineering Skills Strong knowledge of HTML, CSS, and JavaScript Experience building modern web applications using React Experience working with Node.js, Express, or related backend services Experience working with RESTful APIs Familiarity with agile development practices such as: + Test-Driven Development + Pair Programming + Continuous Integration + Automated testing and deployment Strong collaboration and communication skills with a positive and constructive approach to teamwork AI-Assisted Development Experience We are particularly interested in engineers who actively use AI tools as part of a software engineering workflow .Examples include: Experience using AI coding assistants such as GitHub Copilot, Claude Code, Cursor, Codex, or similar tools Comfort working in an AI-augmented development environment Ability to break work into well-scoped tasks that AI tools can assist with effectively Curiosity about how AI can improve developer productivity, experimentation, and software quality Enthusiasm for exploring and sharing effective ways of using AI in software engineering Experience with these tools is valued, but curiosity and enthusiasm to learn are equally welcome .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: Comprehensive Pension Plan Home, office, or commuting allowance. 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 - ScienceDirect is home to almost one-quarter of the world's peer-reviewed full-text scientific, technical, and medical content.More than 15 million researchers, healthcare professionals, teachers, and students rely on ScienceDirect as a trusted source of nearly 2,200 journals and 26,000 book titles .The platform supports research and education with rich interactive content, including video, graphs, datasets, and images, along with tools that help users discover and stay up to date with relevant research. 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: .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
Software Engineer / AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? About the team Embedded Innovation Teams are cross functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem first rather than tool first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. About the role As a Software Engineer / AI Engineer, you will build and ship AI powered features as part of a cross functional Innovation Squad, working inside a business function. You will deliver the set technical direction to production standard, working autonomously within a defined problem, building and testing tool use, retrieval pipelines and agent workflows, integrating AI capabilities into enterprise systems, and contributing to evaluation, observability and guardrails. You will hold a high bar on code quality, flag risks and blockers early, and work alongside host function stakeholders to make sure what you build fits real workflows, not assumed ones. You'll also support handover and capability building so the solution is owned and operable after the squad moves on. Key Responsibilities Build prototypes and proofs of concept and ship agentic AI solutions to production standard within a defined technical approach. Implement and test tool use, retrieval pipelines, and agent workflows. Contribute to evaluation, observability and guardrails for agentic systems. Integrate AI capabilities into existing enterprise workflows and systems. Maintain high code quality and documentation so patterns can be reused. Flag technical risks and blockers early. Interface with technical peers to finalize requirements and complete moderately complex bug fixes. Build solutions for reuse, contributing to patterns, reference implementations, and starter kits so work done in one function can be picked up by another. Instrument solutions to capture outcome data against baselines. Work alongside host function stakeholders to ensure the build fits real workflows, not assumed ones. Support handover and capability building in the host function so the solution is owned and operable after the squad moves on. Keep abreast of new technology developments. Take on related responsibilities as the squad's needs evolve. Requirements Engineering experience: 3+ years in software engineering, with hands on experience building LLM powered applications in production (RAG, tool augmented agents or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI / LLMs: Building RAG pipelines, tool augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability. Agent fundamentals: Understands how agents use memory, tools, and retrieval to complete multi step tasks. Enterprise integration: Integrating AI into existing systems via APIs and data pipelines. Cloud: AWS, Azure, or GCP. Delivery: CI/CD, modern SDLC, TDD, and code review. Data: Working with relational, columnar and vector stores, grounded in sound data modelling principles. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Communication: Clear written and verbal communication with technical peers and stakeholders. Measurement: Instrumenting solutions to capture usage, productivity, and quality metrics against established baselines. Benefits Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) Accommodation Statement 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 contacting 1-. 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.
04/08/2026
Full time
Software Engineer / AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy creating solutions that turn complex data into impactful outcomes? About the team Embedded Innovation Teams are cross functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. We work problem first rather than tool first, directly inside segment and function teams, improving the internal workflows that help our people deliver better outcomes for customers, faster. About the role As a Software Engineer / AI Engineer, you will build and ship AI powered features as part of a cross functional Innovation Squad, working inside a business function. You will deliver the set technical direction to production standard, working autonomously within a defined problem, building and testing tool use, retrieval pipelines and agent workflows, integrating AI capabilities into enterprise systems, and contributing to evaluation, observability and guardrails. You will hold a high bar on code quality, flag risks and blockers early, and work alongside host function stakeholders to make sure what you build fits real workflows, not assumed ones. You'll also support handover and capability building so the solution is owned and operable after the squad moves on. Key Responsibilities Build prototypes and proofs of concept and ship agentic AI solutions to production standard within a defined technical approach. Implement and test tool use, retrieval pipelines, and agent workflows. Contribute to evaluation, observability and guardrails for agentic systems. Integrate AI capabilities into existing enterprise workflows and systems. Maintain high code quality and documentation so patterns can be reused. Flag technical risks and blockers early. Interface with technical peers to finalize requirements and complete moderately complex bug fixes. Build solutions for reuse, contributing to patterns, reference implementations, and starter kits so work done in one function can be picked up by another. Instrument solutions to capture outcome data against baselines. Work alongside host function stakeholders to ensure the build fits real workflows, not assumed ones. Support handover and capability building in the host function so the solution is owned and operable after the squad moves on. Keep abreast of new technology developments. Take on related responsibilities as the squad's needs evolve. Requirements Engineering experience: 3+ years in software engineering, with hands on experience building LLM powered applications in production (RAG, tool augmented agents or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI / LLMs: Building RAG pipelines, tool augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability. Agent fundamentals: Understands how agents use memory, tools, and retrieval to complete multi step tasks. Enterprise integration: Integrating AI into existing systems via APIs and data pipelines. Cloud: AWS, Azure, or GCP. Delivery: CI/CD, modern SDLC, TDD, and code review. Data: Working with relational, columnar and vector stores, grounded in sound data modelling principles. Languages: Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs. Communication: Clear written and verbal communication with technical peers and stakeholders. Measurement: Instrumenting solutions to capture usage, productivity, and quality metrics against established baselines. Benefits Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) Accommodation Statement 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 contacting 1-. 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.
Role Overview The Solution Sales Manager plays a critical role in identifying, shaping, and advancing new commercial opportunities for Reaxys business. This role combines outward-facing market engagement with internal strategic alignment - bridging sales, product, marketing, and enablement. The ideal candidate is proactive, innovative, and deeply connected to emerging trends, capable of breaking into new segments, elevating customer conversations, and supporting high-impact deal creation. Key Responsibilities Market Engagement & Lead Generation: Attend industry events and secure speaking opportunities to generate new business leads. Proactively engage target prospects via LinkedIn and outreach channels to build pipeline. Market Insights & Opportunity Intelligence: Share insights on market trends, customer needs, and growth opportunities. Identify new use cases and whitespace areas to support expansion. Business Development & Deal Activation: Identify and develop new business opportunities and strategic partnerships. Support sales by opening doors, warming prospects, and accelerating pipeline. Contribute to deal progression through strong customer engagement. Internal Collaboration & Cross-Functional Alignment: Partner with sales, marketing, and product teams on new business initiatives. Support campaigns, messaging, and proposals to drive lead generation. Provide field insights to inform product and go-to-market strategy. Requirements At least Bachelor's degree in Chemistry is mandatory. At least 3-4 years' experience in a B2B sales / business development role, with a strong focus on new business acquisition. Proven background in the industry would be an advantage. Demonstrated track record of prospecting, lead generation, and closing new business deals. Strong commercial mindset with ability to engage and influence key decision-makers. Excellent communication and relationship-building skills. About the Business Reaxys (by Elsevier) is a leading, AI-powered chemistry intelligence platform that provides access to extensive data on chemical substances, reactions, and bioactivity sourced from scientific literature and patents-helping researchers accelerate discovery, optimize workflows, and make more informed R&D decisions. If performed in the following location: Home-Based Milan, the base pay range is €32,100 - €53,600. The total target cash range is €49,400 - €82,500. Pay mix between base and variable pay varies based on sales role; please discuss with the recruiter. This job may be subject to a collective labor agreement in Italy. Please consult with the hiring team for further details. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. 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. 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 us.
03/08/2026
Full time
Role Overview The Solution Sales Manager plays a critical role in identifying, shaping, and advancing new commercial opportunities for Reaxys business. This role combines outward-facing market engagement with internal strategic alignment - bridging sales, product, marketing, and enablement. The ideal candidate is proactive, innovative, and deeply connected to emerging trends, capable of breaking into new segments, elevating customer conversations, and supporting high-impact deal creation. Key Responsibilities Market Engagement & Lead Generation: Attend industry events and secure speaking opportunities to generate new business leads. Proactively engage target prospects via LinkedIn and outreach channels to build pipeline. Market Insights & Opportunity Intelligence: Share insights on market trends, customer needs, and growth opportunities. Identify new use cases and whitespace areas to support expansion. Business Development & Deal Activation: Identify and develop new business opportunities and strategic partnerships. Support sales by opening doors, warming prospects, and accelerating pipeline. Contribute to deal progression through strong customer engagement. Internal Collaboration & Cross-Functional Alignment: Partner with sales, marketing, and product teams on new business initiatives. Support campaigns, messaging, and proposals to drive lead generation. Provide field insights to inform product and go-to-market strategy. Requirements At least Bachelor's degree in Chemistry is mandatory. At least 3-4 years' experience in a B2B sales / business development role, with a strong focus on new business acquisition. Proven background in the industry would be an advantage. Demonstrated track record of prospecting, lead generation, and closing new business deals. Strong commercial mindset with ability to engage and influence key decision-makers. Excellent communication and relationship-building skills. About the Business Reaxys (by Elsevier) is a leading, AI-powered chemistry intelligence platform that provides access to extensive data on chemical substances, reactions, and bioactivity sourced from scientific literature and patents-helping researchers accelerate discovery, optimize workflows, and make more informed R&D decisions. If performed in the following location: Home-Based Milan, the base pay range is €32,100 - €53,600. The total target cash range is €49,400 - €82,500. Pay mix between base and variable pay varies based on sales role; please discuss with the recruiter. This job may be subject to a collective labor agreement in Italy. Please consult with the hiring team for further details. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. 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. 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 us.
Elsevier is seeking a Systems Engineer (AWS) to support the operation, maintenance and continuous improvement of cloud-based environments. You will monitor system performance, respond to incidents and contribute to infrastructure improvements. You will collaborate with engineering and support teams to troubleshoot issues, automate configurations and participate in change and release activities, while applying security best practices and documentation.
03/08/2026
Full time
Elsevier is seeking a Systems Engineer (AWS) to support the operation, maintenance and continuous improvement of cloud-based environments. You will monitor system performance, respond to incidents and contribute to infrastructure improvements. You will collaborate with engineering and support teams to troubleshoot issues, automate configurations and participate in change and release activities, while applying security best practices and documentation.
Elsevier's Reaxys team seeks a Solution Sales Manager to identify, shape, and advance new commercial opportunities. The role blends market engagement with internal strategy, connecting sales, product, marketing and enablement to accelerate deals. The ideal candidate will be proactive, innovative and capable of breaking into new segments, elevating customer conversations, and helping create high-impact opportunities.
03/08/2026
Full time
Elsevier's Reaxys team seeks a Solution Sales Manager to identify, shape, and advance new commercial opportunities. The role blends market engagement with internal strategy, connecting sales, product, marketing and enablement to accelerate deals. The ideal candidate will be proactive, innovative and capable of breaking into new segments, elevating customer conversations, and helping create high-impact opportunities.
Elsevier is seeking a Senior Data Scientist II in London to design and deliver advanced AI solutions that enhance decision support in research and knowledge discovery. The ideal candidate will have practical experience in data science, machine learning, and NLP. You will collaborate with teams to implement scalable AI systems that significantly impact researchers and professionals. This role offers flexible working hours, and a commitment to maintaining work/life balance.
03/08/2026
Full time
Elsevier is seeking a Senior Data Scientist II in London to design and deliver advanced AI solutions that enhance decision support in research and knowledge discovery. The ideal candidate will have practical experience in data science, machine learning, and NLP. You will collaborate with teams to implement scalable AI systems that significantly impact researchers and professionals. This role offers flexible working hours, and a commitment to maintaining work/life balance.
Senior Data Scientist IIApplylocations: UK - London (London Wall): Oxfordposted on: Posted Todayjob requisition id: R114632 Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks. Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. Familiarity with cloud platforms and modern software engineering practices. Strong communication, collaboration, and mentoring skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. 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 Pattern 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. Together, we create possibilities. Join us. 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.
03/08/2026
Full time
Senior Data Scientist IIApplylocations: UK - London (London Wall): Oxfordposted on: Posted Todayjob requisition id: R114632 Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Technology - Data Science Organization Do you want to build advanced AI that helps researchers discover, understand, and advance science? Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we've worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks. Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact. Familiarity with cloud platforms and modern software engineering practices. Strong communication, collaboration, and mentoring skills. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. 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 Pattern 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. Together, we create possibilities. Join us. 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.
Elsevier seeks a Java Software Engineer to design, develop and deploy cloud-hosted applications that support researchers and publishers worldwide. You will work in agile teams to gather requirements, implement features, and join architectural discussions to improve performance and delivery. Proficiency in Java and frontend techstack is valued along with familiarity with Git, IDEs, and testing frameworks.
31/07/2026
Full time
Elsevier seeks a Java Software Engineer to design, develop and deploy cloud-hosted applications that support researchers and publishers worldwide. You will work in agile teams to gather requirements, implement features, and join architectural discussions to improve performance and delivery. Proficiency in Java and frontend techstack is valued along with familiarity with Git, IDEs, and testing frameworks.
Java Software EngineerApplylocations: Oxford Nielsen House: London Walltime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R112239 Java Software Engineer Would you like to help create products to support the sharing of scientific knowledge? Do you enjoy collaborating to solve complex technical problems? About the team: Our dynamic Agile Teams deliver the technology that facilitates researchers to publish quality scientific research. As a Software Engineer, you will build capabilities to improve the quality of scientific research. About the role: As a Software Engineer, you will build capabilities to support researchers in sharing new knowledge with the broader research community. Key responsibilities: As a Software Engineer, you will be responsible for: Designing, developing, and deploying applications in a cloud-hosted distributed system to build our next-generation product Collaborating with business stakeholders to identify requirements and gather feedback in a fast-moving environment. Providing input into architectural decisions to ensure stability and performance Identifying and implementing enhancements to continually improve our delivery process Partnering with cross-functional Agile and DevOps implementation teams Requirements: To be successful in this role, you will demonstrate proficiency in some of our requirements, with a willingness to learn new ones as needed. Demonstrate some proficiency in most of these technologies: Java, JavaScript / TypeScript tool (React, Angular, etc), SQL, with a willingness to learn the others. Display some experience with a version control system (i.e., Git) Enjoy collaborating with team members to create innovative solutions Have experience with a modern IDE (IntelliJ / VSCode) and proficiency in using refactoring tools. Be open to discussing and honing approaches for our team to improve our working practices Have some experience with test-driven development and mocking libraries (Jest, Mockito) Be familiar with collaborative documentation tools (Jira and Confluence) Have some real knowledge of Agile practices and execution (Scrum, Kanban) Wanting to learn or have experience with AI-based solutions Be eager to learn and grow my skills and experience 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: Comprehensive Pension Plan Home, office, or commuting allowance. 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 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.
31/07/2026
Full time
Java Software EngineerApplylocations: Oxford Nielsen House: London Walltime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R112239 Java Software Engineer Would you like to help create products to support the sharing of scientific knowledge? Do you enjoy collaborating to solve complex technical problems? About the team: Our dynamic Agile Teams deliver the technology that facilitates researchers to publish quality scientific research. As a Software Engineer, you will build capabilities to improve the quality of scientific research. About the role: As a Software Engineer, you will build capabilities to support researchers in sharing new knowledge with the broader research community. Key responsibilities: As a Software Engineer, you will be responsible for: Designing, developing, and deploying applications in a cloud-hosted distributed system to build our next-generation product Collaborating with business stakeholders to identify requirements and gather feedback in a fast-moving environment. Providing input into architectural decisions to ensure stability and performance Identifying and implementing enhancements to continually improve our delivery process Partnering with cross-functional Agile and DevOps implementation teams Requirements: To be successful in this role, you will demonstrate proficiency in some of our requirements, with a willingness to learn new ones as needed. Demonstrate some proficiency in most of these technologies: Java, JavaScript / TypeScript tool (React, Angular, etc), SQL, with a willingness to learn the others. Display some experience with a version control system (i.e., Git) Enjoy collaborating with team members to create innovative solutions Have experience with a modern IDE (IntelliJ / VSCode) and proficiency in using refactoring tools. Be open to discussing and honing approaches for our team to improve our working practices Have some experience with test-driven development and mocking libraries (Jest, Mockito) Be familiar with collaborative documentation tools (Jira and Confluence) Have some real knowledge of Agile practices and execution (Scrum, Kanban) Wanting to learn or have experience with AI-based solutions Be eager to learn and grow my skills and experience 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: Comprehensive Pension Plan Home, office, or commuting allowance. 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 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 Role The Senior Business Analyst role will work with business units, supporting several initiatives driving modernisation, simplification, and consolidation of services. The role will focus on helping business partners hunt for value opportunities for customers, authors and employees, gathering and analysing data, defining current processes and requirements, and identifying and documenting process improvements and functional specifications. Responsibilities Partner with business and product teams to document current business process and challenges, recommend process improvement and design future state processes Gather business requirements, high level user stories and acceptance criteria Maintain stakeholder expectations and raise appropriate issues to project managers as necessary Develop "trusted advisor" relationship with senior stakeholders through effective communication Work with technology teams to produce detailed user stories and acceptance criteria to support development and QA teams Perform analysis on existing systems; identifying options for potential solutions and assess for both technical and business suitability Requirements Proven experience in process modelling (BPMN standard), eliciting business requirements, and translating them into clear user stories and acceptance criteria Solid understanding of software development methodologies, platforms, and tools Demonstrated ability to plan and facilitate small to medium-sized workshops Strong verbal and written communication skills, enabling effective engagement across all organisational levels, including the production of high-quality process documentation Hands-on experience working in agile environments using recognised delivery frameworks such as Agile, Scrum, and Kanban Experience performing the Business Analyst role across the full software development lifecycle Experience with Lead-to-Cash processes and Salesforce Exposure to data analytics and data-driven decision-making and familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams Working for you We promote a healthy work/life balance across the organisation. 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 for you we know that your wellbeing and happiness are key to a long and successful career. Benefits 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 employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work 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 wellbeing and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. 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. 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.
30/07/2026
Full time
About the Role The Senior Business Analyst role will work with business units, supporting several initiatives driving modernisation, simplification, and consolidation of services. The role will focus on helping business partners hunt for value opportunities for customers, authors and employees, gathering and analysing data, defining current processes and requirements, and identifying and documenting process improvements and functional specifications. Responsibilities Partner with business and product teams to document current business process and challenges, recommend process improvement and design future state processes Gather business requirements, high level user stories and acceptance criteria Maintain stakeholder expectations and raise appropriate issues to project managers as necessary Develop "trusted advisor" relationship with senior stakeholders through effective communication Work with technology teams to produce detailed user stories and acceptance criteria to support development and QA teams Perform analysis on existing systems; identifying options for potential solutions and assess for both technical and business suitability Requirements Proven experience in process modelling (BPMN standard), eliciting business requirements, and translating them into clear user stories and acceptance criteria Solid understanding of software development methodologies, platforms, and tools Demonstrated ability to plan and facilitate small to medium-sized workshops Strong verbal and written communication skills, enabling effective engagement across all organisational levels, including the production of high-quality process documentation Hands-on experience working in agile environments using recognised delivery frameworks such as Agile, Scrum, and Kanban Experience performing the Business Analyst role across the full software development lifecycle Experience with Lead-to-Cash processes and Salesforce Exposure to data analytics and data-driven decision-making and familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams Working for you We promote a healthy work/life balance across the organisation. 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 for you we know that your wellbeing and happiness are key to a long and successful career. Benefits 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 employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work 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 wellbeing and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. 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. 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.
Elsevier is looking for a Principal Architect to design future-ready systems that balance performance, reliability, and simplicity. You will influence the engineering strategy across teams and contribute to Enterprise Architecture related to Shared Technologies. The ideal candidate has extensive experience in software architecture, strong problem-solving skills, and the ability to collaborate with diverse teams. Benefits include a comprehensive pension plan, generous vacation entitlement, and flexible working hours.
30/07/2026
Full time
Elsevier is looking for a Principal Architect to design future-ready systems that balance performance, reliability, and simplicity. You will influence the engineering strategy across teams and contribute to Enterprise Architecture related to Shared Technologies. The ideal candidate has extensive experience in software architecture, strong problem-solving skills, and the ability to collaborate with diverse teams. Benefits include a comprehensive pension plan, generous vacation entitlement, and flexible working hours.
Overview Principal Architect -design future ready systems that balance performance, reliability, and simplicity. Drive technical direction and influence engineering strategy across teams. Contribute to Enterprise Architecture within Elsevier, specifically related to Shared Technologies that underpin the product portfolio. Responsibilities Translate business needs and technology direction into scalable architectural solutions. Communicate complex technical concepts in a clear, business focused manner to support decision making. Partner with architects across the organization to ensure alignment, governance, and shared architectural direction. Collaborate with product and business strategy teams to anticipate long term technological needs. Evaluate new technologies and potential acquisitions as required. Define and implement technology strategies that promote standardization, reuse, and simplification. Plan for the evolution, retirement, and replacement of systems within the business unit. Provide architectural leadership and promote software engineering best practices. Review and approve changes to infrastructure components and subsystems. Lead architectural design for large scale development efforts. Act as a bridge between enterprise architecture and engineering teams. Work collaboratively with architects across different groups to ensure cohesive solutions. Introduce and support teams in adopting new technologies. Lead teams in identifying and resolving complex technical challenges. Present findings, risks, and solution options to support informed decision making. Guide technical direction and architectural evolution through reviews and hands on leadership. Identify opportunities to evolve components into shared infrastructure. Stay current with industry and technology advancements and explore opportunities to apply them. Advocate for and support the adoption of shared technologies across business units. Collaborate closely with shared technology teams to provide architectural guidance and support. Qualifications Extensive experience (typically 15+ years) in software, network, or systems architecture. Significant experience leading cross functional or cross product architectural initiatives with measurable enterprise impact. Degree in Engineering or Computer Science, or equivalent practical experience. Deep expertise in architectural design and governance. Strong understanding of programming concepts, databases, and modern engineering practices. Experience leading complex technical projects and collaborating with customers or external partners. Ability to work with vendors to align technology strategies with organizational architecture goals. Innovative mindset with experience in modern technologies, security, and infrastructure. Advanced skills in planning, prioritization, and managing multiple initiatives across teams. Strong problem solving abilities, including guiding teams through diagnosing and resolving complex issues. Clear and effective communication skills, with the ability to present technical concepts to diverse audiences, including senior leadership. Strong research and analytical skills. Ability to develop architectural business cases aligned with enterprise strategy. Expertise in APIs, API management, and API governance. Strong knowledge of modern authentication and authorization protocols (e.g., OAuth2, OIDC). Benefits 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) Equal Opportunity Employer Elsevier is 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. We are committed to providing a fair and accessible hiring process and support accommodations for disabilities.
30/07/2026
Full time
Overview Principal Architect -design future ready systems that balance performance, reliability, and simplicity. Drive technical direction and influence engineering strategy across teams. Contribute to Enterprise Architecture within Elsevier, specifically related to Shared Technologies that underpin the product portfolio. Responsibilities Translate business needs and technology direction into scalable architectural solutions. Communicate complex technical concepts in a clear, business focused manner to support decision making. Partner with architects across the organization to ensure alignment, governance, and shared architectural direction. Collaborate with product and business strategy teams to anticipate long term technological needs. Evaluate new technologies and potential acquisitions as required. Define and implement technology strategies that promote standardization, reuse, and simplification. Plan for the evolution, retirement, and replacement of systems within the business unit. Provide architectural leadership and promote software engineering best practices. Review and approve changes to infrastructure components and subsystems. Lead architectural design for large scale development efforts. Act as a bridge between enterprise architecture and engineering teams. Work collaboratively with architects across different groups to ensure cohesive solutions. Introduce and support teams in adopting new technologies. Lead teams in identifying and resolving complex technical challenges. Present findings, risks, and solution options to support informed decision making. Guide technical direction and architectural evolution through reviews and hands on leadership. Identify opportunities to evolve components into shared infrastructure. Stay current with industry and technology advancements and explore opportunities to apply them. Advocate for and support the adoption of shared technologies across business units. Collaborate closely with shared technology teams to provide architectural guidance and support. Qualifications Extensive experience (typically 15+ years) in software, network, or systems architecture. Significant experience leading cross functional or cross product architectural initiatives with measurable enterprise impact. Degree in Engineering or Computer Science, or equivalent practical experience. Deep expertise in architectural design and governance. Strong understanding of programming concepts, databases, and modern engineering practices. Experience leading complex technical projects and collaborating with customers or external partners. Ability to work with vendors to align technology strategies with organizational architecture goals. Innovative mindset with experience in modern technologies, security, and infrastructure. Advanced skills in planning, prioritization, and managing multiple initiatives across teams. Strong problem solving abilities, including guiding teams through diagnosing and resolving complex issues. Clear and effective communication skills, with the ability to present technical concepts to diverse audiences, including senior leadership. Strong research and analytical skills. Ability to develop architectural business cases aligned with enterprise strategy. Expertise in APIs, API management, and API governance. Strong knowledge of modern authentication and authorization protocols (e.g., OAuth2, OIDC). Benefits 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) Equal Opportunity Employer Elsevier is 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. We are committed to providing a fair and accessible hiring process and support accommodations for disabilities.
About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier's Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier's AI powered research assistant, as well as Elsevier's broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systems, Generative AI and LLM applications, AI evaluation and experimentation, Semantic enrichment and knowledge systems, Scalable AI platforms and intelligent workflows. About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier's Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting edge AI technologies into production experiences used by researchers worldwide. You will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI powered scientific discovery tools. This role is ideal for someone with hands on experience in applied AI, NLP, information retrieval, and LLM based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Develop and improve LLM powered research workflows, including: Scientific question answering, Literature summarization, Semantic exploration and discovery, Research insight generation, Citation aware retrieval and reasoning workflows. Build and iterate on agentic and multi step AI workflows using frameworks such as LangGraph and related orchestration tools. Apply modern techniques in NLP, Generative AI, Embeddings and semantic representations, Retrieval augmented generation (RAG), AI reasoning and workflow orchestration. Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI powered workflows. Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking, and knowledge discovery capabilities. Collaborate with engineering teams to deploy and scale AI powered solutions. Develop and apply evaluation frameworks for search and AI systems, including IR metrics (e.g., NDCG, recall, precision) and LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection). Build and maintain evaluation datasets, benchmark suites, and annotation workflows. Conduct offline experiments and contribute to online experimentation and A/B testing. Analyze experimental results and communicate findings to stakeholders. Contribute to responsible AI practices focused on quality, reliability, and trust. Partner with product managers, engineers, UX researchers, and domain experts to deliver AI powered capabilities. Communicate technical findings and recommendations clearly to both technical and non technical audiences. Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization. Support delivery of projects from research and experimentation through production deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field. Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field. Hands on experience with LLM based applications and generative AI systems, RAG pipelines and retrieval systems, Search and retrieval architectures (lexical, vector, hybrid). Evaluation methodologies for IR and generative AI systems. Strong programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with Databricks or similar distributed data and machine learning platforms. Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis. Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn). Demonstrated ability to independently execute technical projects and contribute to cross functional initiatives. Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications. Experience working on search, ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience working in content rich, knowledge intensive, or highly regulated domains. Working for you - we know that your well being and happiness are key to a long and successful career. Benefits we are delighted to offer Comprehensive Pension Plan. Home, office, or commuting allowance. 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 As 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-. 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. 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 . click apply for full job details
26/07/2026
Full time
About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier's Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier's AI powered research assistant, as well as Elsevier's broader Search & AI Platform. The Platform Data Science organization works at the intersection of: Search and retrieval systems, Generative AI and LLM applications, AI evaluation and experimentation, Semantic enrichment and knowledge systems, Scalable AI platforms and intelligent workflows. About the role We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier's Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting edge AI technologies into production experiences used by researchers worldwide. You will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI powered scientific discovery tools. This role is ideal for someone with hands on experience in applied AI, NLP, information retrieval, and LLM based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Develop and improve LLM powered research workflows, including: Scientific question answering, Literature summarization, Semantic exploration and discovery, Research insight generation, Citation aware retrieval and reasoning workflows. Build and iterate on agentic and multi step AI workflows using frameworks such as LangGraph and related orchestration tools. Apply modern techniques in NLP, Generative AI, Embeddings and semantic representations, Retrieval augmented generation (RAG), AI reasoning and workflow orchestration. Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI powered workflows. Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking, and knowledge discovery capabilities. Collaborate with engineering teams to deploy and scale AI powered solutions. Develop and apply evaluation frameworks for search and AI systems, including IR metrics (e.g., NDCG, recall, precision) and LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection). Build and maintain evaluation datasets, benchmark suites, and annotation workflows. Conduct offline experiments and contribute to online experimentation and A/B testing. Analyze experimental results and communicate findings to stakeholders. Contribute to responsible AI practices focused on quality, reliability, and trust. Partner with product managers, engineers, UX researchers, and domain experts to deliver AI powered capabilities. Communicate technical findings and recommendations clearly to both technical and non technical audiences. Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization. Support delivery of projects from research and experimentation through production deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field. Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field. Hands on experience with LLM based applications and generative AI systems, RAG pipelines and retrieval systems, Search and retrieval architectures (lexical, vector, hybrid). Evaluation methodologies for IR and generative AI systems. Strong programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with Databricks or similar distributed data and machine learning platforms. Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis. Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn). Demonstrated ability to independently execute technical projects and contribute to cross functional initiatives. Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications. Experience working on search, ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience working in content rich, knowledge intensive, or highly regulated domains. Working for you - we know that your well being and happiness are key to a long and successful career. Benefits we are delighted to offer Comprehensive Pension Plan. Home, office, or commuting allowance. 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 As 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-. 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. 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 . click apply for full job details
Elsevier is seeking a Data Scientist III to design, build, and evaluate advanced AI capabilities for LeapSpace and the Search & AI Platform. You will work with senior data scientists, engineers, and domain experts to deliver AI-powered research tools used by researchers worldwide. The role focuses on applied AI, NLP, information retrieval, and LLM-based applications, with opportunities to scale AI-powered workflows and contribute to responsible AI practices.
26/07/2026
Full time
Elsevier is seeking a Data Scientist III to design, build, and evaluate advanced AI capabilities for LeapSpace and the Search & AI Platform. You will work with senior data scientists, engineers, and domain experts to deliver AI-powered research tools used by researchers worldwide. The role focuses on applied AI, NLP, information retrieval, and LLM-based applications, with opportunities to scale AI-powered workflows and contribute to responsible AI practices.
Elsevier is seeking a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. You will own complex problems end-to-end, drive rigorous evaluation practices, and shape the technical direction of retrieval and RAG systems. You should have deep hands-on experience in search/retrieval, RAG pipelines, and evaluation frameworks, operating as a senior individual contributor with growing technical leadership responsibilities.
26/07/2026
Full time
Elsevier is seeking a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. You will own complex problems end-to-end, drive rigorous evaluation practices, and shape the technical direction of retrieval and RAG systems. You should have deep hands-on experience in search/retrieval, RAG pipelines, and evaluation frameworks, operating as a senior individual contributor with growing technical leadership responsibilities.
About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences - from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. About the role We are looking for a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. You will own complex problem areas end-to-end, drive methodological rigor in evaluation, and contribute to the technical direction of retrieval and RAG systems. This role is ideal for someone with deep hands on experience in search/retrieval systems, RAG pipelines, and evaluation frameworks, who is ready to operate as a senior individual contributor with growing technical leadership responsibilities. Key responsibilities Play a leading role in the design and optimization of lexical, vector, and hybrid retrieval systems at scale. Help architect and improve RAG pipelines, including retrieval strategies, prompt design, and system orchestration (e.g., LangGraph-based workflows). Help drive experimentation with embeddings, re ranking models, and retrieval architectures to significantly improve relevance and user outcomes. Partner with engineering to ensure robust, scalable, and production ready implementations. Help define and evolve evaluation strategies for search and generative AI systems across products. Help design robust frameworks for: IR evaluation (e.g., NDCG, recall, ranking quality) GenAI evaluation (e.g., grounding, faithfulness, hallucination detection) Contribute to development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Apply and adapt state of the art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team's roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data - including datasets, chemical entities, genes, drugs, clinical trials, and patient outcomes - into AI powered discovery pipelines. Advance Elsevier's knowledge graph and metadata integration strategy, linking research and health data for more context aware retrieval. Apply cutting edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier's discovery and evaluation stack. Work closely with product, engineering, and domain experts to define and deliver impactful solutions. Communicate findings and recommendations clearly to both technical and non technical stakeholders. Take ownership of projects from problem definition through experimentation and deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience) Experience in data science, machine learning, or applied NLP Strong hands on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM based systems Evaluation methodologies for ML / IR / GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human in the loop evaluation or annotation workflows Publications or demonstrated applied research in IR, NLP, or generative AI Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. 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. Flexible working 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: Holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Life assurance, plus optional additional life cover and spouse's life cover at own cost Access to a competitive contributory pension scheme Save As You Earn share option scheme Access to optional self funded benefits, including electric vehicle scheme, cycle to work scheme, dental insurance, critical illness cover, health cash plan, personal travel insurance Travel season ticket loan Paid time off when you become a parent, and paid time off for carers Support for personal and work related challenges Access to emergency care for both the elderly and children Time off to support the charities and causes that matter to you Awards to recognize key service milestones About the business As 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. If performed in NLD Amsterdam (Radarweg), the base pay range is €53,800 - €89,900. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. 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-. 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. USA Job Seekers: EEO Know Your Rights. 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 . click apply for full job details
26/07/2026
Full time
About the team Elsevier's mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences - from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. About the role We are looking for a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. You will own complex problem areas end-to-end, drive methodological rigor in evaluation, and contribute to the technical direction of retrieval and RAG systems. This role is ideal for someone with deep hands on experience in search/retrieval systems, RAG pipelines, and evaluation frameworks, who is ready to operate as a senior individual contributor with growing technical leadership responsibilities. Key responsibilities Play a leading role in the design and optimization of lexical, vector, and hybrid retrieval systems at scale. Help architect and improve RAG pipelines, including retrieval strategies, prompt design, and system orchestration (e.g., LangGraph-based workflows). Help drive experimentation with embeddings, re ranking models, and retrieval architectures to significantly improve relevance and user outcomes. Partner with engineering to ensure robust, scalable, and production ready implementations. Help define and evolve evaluation strategies for search and generative AI systems across products. Help design robust frameworks for: IR evaluation (e.g., NDCG, recall, ranking quality) GenAI evaluation (e.g., grounding, faithfulness, hallucination detection) Contribute to development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Apply and adapt state of the art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team's roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data - including datasets, chemical entities, genes, drugs, clinical trials, and patient outcomes - into AI powered discovery pipelines. Advance Elsevier's knowledge graph and metadata integration strategy, linking research and health data for more context aware retrieval. Apply cutting edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier's discovery and evaluation stack. Work closely with product, engineering, and domain experts to define and deliver impactful solutions. Communicate findings and recommendations clearly to both technical and non technical stakeholders. Take ownership of projects from problem definition through experimentation and deployment. Required qualifications Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience) Experience in data science, machine learning, or applied NLP Strong hands on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM based systems Evaluation methodologies for ML / IR / GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human in the loop evaluation or annotation workflows Publications or demonstrated applied research in IR, NLP, or generative AI Why join us? Join our team and contribute to a culture of innovation, collaboration, and excellence. 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. Flexible working 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: Holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Life assurance, plus optional additional life cover and spouse's life cover at own cost Access to a competitive contributory pension scheme Save As You Earn share option scheme Access to optional self funded benefits, including electric vehicle scheme, cycle to work scheme, dental insurance, critical illness cover, health cash plan, personal travel insurance Travel season ticket loan Paid time off when you become a parent, and paid time off for carers Support for personal and work related challenges Access to emergency care for both the elderly and children Time off to support the charities and causes that matter to you Awards to recognize key service milestones About the business As 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. If performed in NLD Amsterdam (Radarweg), the base pay range is €53,800 - €89,900. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We know your well being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. 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-. 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. USA Job Seekers: EEO Know Your Rights. 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 . click apply for full job details
