Description Tangle Teezer is a global brand on a simple mission: to give everyone healthier-looking hair with less breakage since 2007. Our gentle brushes are tools for every hair type-from straight to coily-and every routine, helping you go from detangling and blow-drying to styling. Our products are your daily dose of confidence, ready to take on whatever tangles life throws your way. Tangle Teezer is a proud brand within BIC World, a community of iconic and inventive brands that have created simple, joyful products for over 75 years. As part of BIC World, we're dedicated to reimagining everyday essentials in new, sustainable, and responsible ways. Our culture thrives on a "roll up your sleeves" mindset, empowering self-starters and innovators to take ownership of their careers and make a meaningful, global impact. Who are we? Helping you have healthy hair has been our mane goal since 2007. No matter your hair type - straight, curly, fine, fragile, or coily - our range of gentle brushes will leave you with healthier-looking hair and less breakage. With tools for every stroke of your routine, from massaging to detangling and blow-drying to styling, they're your daily dose of confidence. So, you can take on whatever tangles life throws your way. The Role We are looking for an analytical, organized and detail-oriented Sales Assistant, Ecommerce to support Tangle Teezer's growth on our Ecommerce marketplaces in the UK, EU and expansion markets. In this role, you'll assist with monitoring sales performance, checking inventory levels, product listing creation and manage the day-to-day operations of our marketplaces. This is a perfect entry role for someone interested in gaining experience in e-commerce account management as part of a high performing team making great strides in this space. In this role you'll get to: Report and Analyse weekly sales, inventory, and forecast reports to identify trends or issues. Perform daily competitive analysis (pricing, reviews, availability, BuyBox) to support pricing and promotional strategies. Support with the creation of ongoing reporting templates (Excel and PPT) to management on sales performance. Collaborate with the logistics team and AVS team to ensure timely and accurate order fulfilment, WOC, and any day-to-day issues. Own the execution of the set-up of new product lines across the ecommerce retailers. Support the creation and maintenance of product detail pages (i.e. titles, images, A+, variations) through Vendor Central, Amazon's Brand Registry tools, the agency and AVS team. Coordinate with Amazon Vendor Support, the agency and AVS team to resolve any day-to-day issues. Stay updated on Amazon's vendor policies, terms, and platform changes. What we are looking for in you: 1-2 years of experience in e-commerce, sales, or Amazon account support; (Internships or relevant exposure are welcome) Familiarity with retail and e-commerce KPIs such as sell-in, sell-through and conversion rates. Strong analytical mindset with high attention to detail, particularly around data accuracy and content quality. Excellent organizational and multitasking skills, with the ability to manage multiple priorities. Comfortable working cross-functionally with logistics, marketing, and sales teams. Eagerness to learn, grow, and develop technical skills within the e-commerce retail space. Basic understanding of Amazon Vendor Central and/or Seller Central, with prior exposure preferred. Experience or hands-on exposure to e-commerce tools and platforms such as Profitero, Helium 10, and Jungle Scout. preferred What it means to be part of Tangle Teezer: At Tangle Teezer, being part of our PAC means being Proud, Authentic, and Championing each other every day. Proud: We are passionately proud to do things differently, so we perform brilliantly-just like our hair tools. Authentic: We welcome everyone as they are, we bring our true selves to work and show up as who we want to be. Champion: We are champions of one another, our brand, and our environment. The good Stuff: For all your hard work and dedication, we have fantastic rewards for you - Flexible working hours with core hours from 10am to 4pm Working 2 days in the office and 3 days from home Salary from £35,000 Performance-related bonus of 10% based on annual salary 27 days holiday, with the option to buy holiday days 2 volunteering days per year 10 days working from any location of your choice Flexible bank holidays-choose the standard bank holidays or swap them for dates that are more meaningful to you Free in-office massages Enhanced family policies Supportive Period & Menopause Policies Enhanced pension scheme Life assurance at 4x your salary Private medical insurance Medical cash plan for everyday healthcare needs Cycle to Work Scheme Meeting-free Fridays with an early 4:00 pm finish to kickstart your weekend! Pet friendly office. Bring your furry friend to work with you! Equal Opportunity Statement BIC World is an Equal Opportunity Employer. We strongly commit to hiring people with different backgrounds and experiences to help us build better products, make better decisions, and better serve our customers. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, veteran status, disability status, or similar characteristics. All employment is decided based on qualifications, merit, and business need. If you require a reasonable accommodation to participate in our hiring process, please let us know at any stage. BIC World is not seeking assistance or accepting unsolicited resumes from search firms for this employment opportunity. Regardless of past practice, all resumes submitted by search firms to any team member at BIC via email, or directly to a BIC team member in any form without a valid written search agreement in place for that position will be deemed the sole property of BIC, and no fee will be paid in the event the candidate is hired by BIC as a result of the referral or through other means.
26/07/2026
Full time
Description Tangle Teezer is a global brand on a simple mission: to give everyone healthier-looking hair with less breakage since 2007. Our gentle brushes are tools for every hair type-from straight to coily-and every routine, helping you go from detangling and blow-drying to styling. Our products are your daily dose of confidence, ready to take on whatever tangles life throws your way. Tangle Teezer is a proud brand within BIC World, a community of iconic and inventive brands that have created simple, joyful products for over 75 years. As part of BIC World, we're dedicated to reimagining everyday essentials in new, sustainable, and responsible ways. Our culture thrives on a "roll up your sleeves" mindset, empowering self-starters and innovators to take ownership of their careers and make a meaningful, global impact. Who are we? Helping you have healthy hair has been our mane goal since 2007. No matter your hair type - straight, curly, fine, fragile, or coily - our range of gentle brushes will leave you with healthier-looking hair and less breakage. With tools for every stroke of your routine, from massaging to detangling and blow-drying to styling, they're your daily dose of confidence. So, you can take on whatever tangles life throws your way. The Role We are looking for an analytical, organized and detail-oriented Sales Assistant, Ecommerce to support Tangle Teezer's growth on our Ecommerce marketplaces in the UK, EU and expansion markets. In this role, you'll assist with monitoring sales performance, checking inventory levels, product listing creation and manage the day-to-day operations of our marketplaces. This is a perfect entry role for someone interested in gaining experience in e-commerce account management as part of a high performing team making great strides in this space. In this role you'll get to: Report and Analyse weekly sales, inventory, and forecast reports to identify trends or issues. Perform daily competitive analysis (pricing, reviews, availability, BuyBox) to support pricing and promotional strategies. Support with the creation of ongoing reporting templates (Excel and PPT) to management on sales performance. Collaborate with the logistics team and AVS team to ensure timely and accurate order fulfilment, WOC, and any day-to-day issues. Own the execution of the set-up of new product lines across the ecommerce retailers. Support the creation and maintenance of product detail pages (i.e. titles, images, A+, variations) through Vendor Central, Amazon's Brand Registry tools, the agency and AVS team. Coordinate with Amazon Vendor Support, the agency and AVS team to resolve any day-to-day issues. Stay updated on Amazon's vendor policies, terms, and platform changes. What we are looking for in you: 1-2 years of experience in e-commerce, sales, or Amazon account support; (Internships or relevant exposure are welcome) Familiarity with retail and e-commerce KPIs such as sell-in, sell-through and conversion rates. Strong analytical mindset with high attention to detail, particularly around data accuracy and content quality. Excellent organizational and multitasking skills, with the ability to manage multiple priorities. Comfortable working cross-functionally with logistics, marketing, and sales teams. Eagerness to learn, grow, and develop technical skills within the e-commerce retail space. Basic understanding of Amazon Vendor Central and/or Seller Central, with prior exposure preferred. Experience or hands-on exposure to e-commerce tools and platforms such as Profitero, Helium 10, and Jungle Scout. preferred What it means to be part of Tangle Teezer: At Tangle Teezer, being part of our PAC means being Proud, Authentic, and Championing each other every day. Proud: We are passionately proud to do things differently, so we perform brilliantly-just like our hair tools. Authentic: We welcome everyone as they are, we bring our true selves to work and show up as who we want to be. Champion: We are champions of one another, our brand, and our environment. The good Stuff: For all your hard work and dedication, we have fantastic rewards for you - Flexible working hours with core hours from 10am to 4pm Working 2 days in the office and 3 days from home Salary from £35,000 Performance-related bonus of 10% based on annual salary 27 days holiday, with the option to buy holiday days 2 volunteering days per year 10 days working from any location of your choice Flexible bank holidays-choose the standard bank holidays or swap them for dates that are more meaningful to you Free in-office massages Enhanced family policies Supportive Period & Menopause Policies Enhanced pension scheme Life assurance at 4x your salary Private medical insurance Medical cash plan for everyday healthcare needs Cycle to Work Scheme Meeting-free Fridays with an early 4:00 pm finish to kickstart your weekend! Pet friendly office. Bring your furry friend to work with you! Equal Opportunity Statement BIC World is an Equal Opportunity Employer. We strongly commit to hiring people with different backgrounds and experiences to help us build better products, make better decisions, and better serve our customers. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, veteran status, disability status, or similar characteristics. All employment is decided based on qualifications, merit, and business need. If you require a reasonable accommodation to participate in our hiring process, please let us know at any stage. BIC World is not seeking assistance or accepting unsolicited resumes from search firms for this employment opportunity. Regardless of past practice, all resumes submitted by search firms to any team member at BIC via email, or directly to a BIC team member in any form without a valid written search agreement in place for that position will be deemed the sole property of BIC, and no fee will be paid in the event the candidate is hired by BIC as a result of the referral or through other means.
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
Select how often (in days) to receive an alert: Cyber Security Engineer - Assistant Vice President Seeking security engineer to join our Proactive Security team, this role will focus on the development of security technology stack to ensure threat mitigation is in place through offensive and preventive measures. Duties and Responsibilities Develop and maintain threat models for Mizuho information assets and services. Assess and recommend security controls during design and implementation of new projects. Build and maintain tools for proactive detection, configuration drift monitoring and automated remediation. Security tooling integration and orchestration. Develop and implementation of SOAR capabilities that aligns with existing technology stack. Experience with KMS systems and methodologies. Identity based threat detection and prevention. Privileged Access and Session Management SIEM Management: Design, implement, and maintain of workspaces, including data connectors, Logic App, Function App, analytics rules, workbooks, and playbooks. Develop and refine custom queries for advanced threat hunting, incident investigation, and reporting. Optimize SIEM performance, cost, and data retention policies Identify new log sources work closely with infrastructure teams Identify, onboard, and configure critical security log sources with a focus on critical infrastructure services such as Active Directory (Domain Controllers, ADFS), network devices, firewalls, servers (Windows/Linux), and cloud infrastructure logs. Manage Event Collector and Event Forwarding infrastructure. Implement data filtering to ensure high-quality and relevant data ingestion. Parse and analyse custom log formats to extract relevant information for SIEM Develop, test, and deploy advanced threat detection use cases, and common infrastructure attack patterns. Translate threat intelligence and vulnerability insights into actionable detection rules. Continuously review and refine existing detection rules to minimize false positives and improve efficacy. Security Monitoring: Analyse, develop and refine security monitoring controls, practices and use-cases to detect anomalies and incidents across the applications and infrastructure estate. Collaborate with SOC team to enrich detection logic based on known vulnerabilities and misconfigurations. Incident Response & Security Operations: Formulate proactive threat hunting rule based on emerging threats and intelligence. Contribute to the development and improvement of security playbooks and operational procedures. Security Best Practices & Advisory: Provide expert guidance on securing application and critical infrastructure components. Help setup POC and evaluation on new security tools and explore the gap in controls Other Providing subject matter expertise in Cyber Security team as needed. Contribute to the design and delivery of security monitoring and control effectiveness measures. Availability to cover anywhere from 7am to 7pm on all business days. Qualifications, Skills, and Experience Relevant experience on security tool implementation projects (SIEM, Proxy, EDR, DLP and SEG) Experience working with Cyber Security and Incident Response frameworks such as NIST, Kill Chain, Attack life Cycle, & MITRE). Excellent communication skills, both written and verbal, with good documentation. Minimum of 5+ years of experience in Security Engineering, Security Automation/or Orchestration, or similar cybersecurity role. Demonstrable hands-on experience with SIEM (implementation, configuration, custom rule creation). Strong practical experience with EDR and SIEM technology stack In-depth understanding of Active Directory security principles, common attack vectors, and logging mechanisms. Experience with Windows event collection. Proficiency in scripting (e.g., PowerShell, Python) for automation, data manipulation, and custom log parsing. Solid understanding of networking concepts (TCP/IP, firewalls, proxies, VPNs) and security protocols. Familiarity with cloud security principles, Azure, GCP, AWS Working knowledge over a range of operating systems and platforms including: Windows Server, Windows XP, UNIX (Solaris, Linux), Working knowledge of networks: LAN, WAN, Palo Alto, FortiGate, switches, Firewalls, remote access solutions, and VPNs. In-depth experience with SIEM tools with a strategic oversight on appropriate use case methodologies. Implementation of robust security monitoring use cases and Threat hunting capabilities. Relevant industry certifications (e.g., AZ-500, SC-200, SC-900, CompTIA Security+) or similar Cert with Security Orchestration, Automation, and Response (SOAR) playbooks within Sentinel or other platforms. Scripting skills (PowerShell, Python) for automation and data manipulation. What Mizuho Can Offer You Here at Mizuho, there are fantastic progression opportunities and clear paths to promotion. We will give you ample opportunity to affect change and to help grow our business. In addition to the great opportunity outlined above we are also currently able to offer: Competitive starting salary, plus discretionary bonus Non-contributory pension 27 days' annual leave Core working hours Hybrid working - office and home based Virtual GP Wellbeing benefits, including Mental Health Allies and First Aiders For applicable roles only At Mizuho, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. We are committed to supporting equality and diversity, and seek to create a workplace that is fully inclusive. We welcome applications from all sections of the community that we operate in and from all ethnic backgrounds, sexual orientation, beliefs, gender identities and disabilities If you require more information about our equal opportunities policy or wish to discuss any accessibility requirements or reasonable adjustments please contact the recruitment team - and we will be happy to help.
26/07/2026
Full time
Select how often (in days) to receive an alert: Cyber Security Engineer - Assistant Vice President Seeking security engineer to join our Proactive Security team, this role will focus on the development of security technology stack to ensure threat mitigation is in place through offensive and preventive measures. Duties and Responsibilities Develop and maintain threat models for Mizuho information assets and services. Assess and recommend security controls during design and implementation of new projects. Build and maintain tools for proactive detection, configuration drift monitoring and automated remediation. Security tooling integration and orchestration. Develop and implementation of SOAR capabilities that aligns with existing technology stack. Experience with KMS systems and methodologies. Identity based threat detection and prevention. Privileged Access and Session Management SIEM Management: Design, implement, and maintain of workspaces, including data connectors, Logic App, Function App, analytics rules, workbooks, and playbooks. Develop and refine custom queries for advanced threat hunting, incident investigation, and reporting. Optimize SIEM performance, cost, and data retention policies Identify new log sources work closely with infrastructure teams Identify, onboard, and configure critical security log sources with a focus on critical infrastructure services such as Active Directory (Domain Controllers, ADFS), network devices, firewalls, servers (Windows/Linux), and cloud infrastructure logs. Manage Event Collector and Event Forwarding infrastructure. Implement data filtering to ensure high-quality and relevant data ingestion. Parse and analyse custom log formats to extract relevant information for SIEM Develop, test, and deploy advanced threat detection use cases, and common infrastructure attack patterns. Translate threat intelligence and vulnerability insights into actionable detection rules. Continuously review and refine existing detection rules to minimize false positives and improve efficacy. Security Monitoring: Analyse, develop and refine security monitoring controls, practices and use-cases to detect anomalies and incidents across the applications and infrastructure estate. Collaborate with SOC team to enrich detection logic based on known vulnerabilities and misconfigurations. Incident Response & Security Operations: Formulate proactive threat hunting rule based on emerging threats and intelligence. Contribute to the development and improvement of security playbooks and operational procedures. Security Best Practices & Advisory: Provide expert guidance on securing application and critical infrastructure components. Help setup POC and evaluation on new security tools and explore the gap in controls Other Providing subject matter expertise in Cyber Security team as needed. Contribute to the design and delivery of security monitoring and control effectiveness measures. Availability to cover anywhere from 7am to 7pm on all business days. Qualifications, Skills, and Experience Relevant experience on security tool implementation projects (SIEM, Proxy, EDR, DLP and SEG) Experience working with Cyber Security and Incident Response frameworks such as NIST, Kill Chain, Attack life Cycle, & MITRE). Excellent communication skills, both written and verbal, with good documentation. Minimum of 5+ years of experience in Security Engineering, Security Automation/or Orchestration, or similar cybersecurity role. Demonstrable hands-on experience with SIEM (implementation, configuration, custom rule creation). Strong practical experience with EDR and SIEM technology stack In-depth understanding of Active Directory security principles, common attack vectors, and logging mechanisms. Experience with Windows event collection. Proficiency in scripting (e.g., PowerShell, Python) for automation, data manipulation, and custom log parsing. Solid understanding of networking concepts (TCP/IP, firewalls, proxies, VPNs) and security protocols. Familiarity with cloud security principles, Azure, GCP, AWS Working knowledge over a range of operating systems and platforms including: Windows Server, Windows XP, UNIX (Solaris, Linux), Working knowledge of networks: LAN, WAN, Palo Alto, FortiGate, switches, Firewalls, remote access solutions, and VPNs. In-depth experience with SIEM tools with a strategic oversight on appropriate use case methodologies. Implementation of robust security monitoring use cases and Threat hunting capabilities. Relevant industry certifications (e.g., AZ-500, SC-200, SC-900, CompTIA Security+) or similar Cert with Security Orchestration, Automation, and Response (SOAR) playbooks within Sentinel or other platforms. Scripting skills (PowerShell, Python) for automation and data manipulation. What Mizuho Can Offer You Here at Mizuho, there are fantastic progression opportunities and clear paths to promotion. We will give you ample opportunity to affect change and to help grow our business. In addition to the great opportunity outlined above we are also currently able to offer: Competitive starting salary, plus discretionary bonus Non-contributory pension 27 days' annual leave Core working hours Hybrid working - office and home based Virtual GP Wellbeing benefits, including Mental Health Allies and First Aiders For applicable roles only At Mizuho, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. We are committed to supporting equality and diversity, and seek to create a workplace that is fully inclusive. We welcome applications from all sections of the community that we operate in and from all ethnic backgrounds, sexual orientation, beliefs, gender identities and disabilities If you require more information about our equal opportunities policy or wish to discuss any accessibility requirements or reasonable adjustments please contact the recruitment team - and we will be happy to help.
Hours & Salary: 16 hours per week - £11,648 per annum. Employment Status: 3 Years (Fixed Term) Location: In-Person - Non-remote: Birmingham (Pinewood, Woodgate Valley) Who We Look For We're seeking a detail-oriented and motivated Data Analyst Assistantwho is passionate about using data to drive positive change. You'll thrive in this role if you enjoy turning numbers into meaningful insights and want to support a charity that makes a real difference in people's lives. Ideally, you'll have experience handling data, spotting trends, and presenting findings clearly. Strong teamwork skills are essential, as you'll be working with colleagues across our services to ensure data is accurate and impactful. A genuine interest in social impact, equality, or disability rights would be a bonus. If you're organised, curious, and motivated to help us demonstrate our charity's impact, we'd love to hear from you. What does this role involve? As a Data Analyst Assistant, you'll help turn data into insights that improve our services and demonstrate our impact. Your key tasks will include: Collecting and managing data- ensuring accurate, up-to-date records across our services. Analysing and reporting findings- creating dashboards, reports, and visualisations to guide decisions. Supporting funding bids and impact reports- providing clear data summaries for stakeholders. Ensuring data quality and compliance- following GDPR and governance standards. Helping staff use data tools- offering training and troubleshooting support. Collaborating across teams- tailoring reports and insights to different service needs. You'll play an important role in helping Midland Mencap make data-driven decisions that benefit people with learning disabilities. Experience Experience working with spreadsheets (Excel, Google Sheets) and data platforms (Power BI, Tableau, etc.). Experience in the voluntary/community or health and social care sector. Familiarity with CRM systems Experience of delivering training or troubleshooting to staff with digital tools and/or data systems. Skills, Abilities & Attributes Understanding of data collection methods and basic statistical analysis. Strong attention to detail and problem-solving skills. Good written and verbal communication skills. Ability to work independently and collaboratively across teams. Interest in social impact, equality, or disability rights. Ability to contribute to presentations or briefings for board meetings, commissioners, or partners. Understanding of GDPR and information governance standards. Training & Qualifications Working towards or holding a recognised qualification in relation to data analysis. Qualification(s) or certification(s) for relevant data platforms or systems. What we offer? Flexible working arrangements. Training and development opportunities Access to our Employee Assistance Programme. Pension scheme and annual leave entitlement.
25/07/2026
Full time
Hours & Salary: 16 hours per week - £11,648 per annum. Employment Status: 3 Years (Fixed Term) Location: In-Person - Non-remote: Birmingham (Pinewood, Woodgate Valley) Who We Look For We're seeking a detail-oriented and motivated Data Analyst Assistantwho is passionate about using data to drive positive change. You'll thrive in this role if you enjoy turning numbers into meaningful insights and want to support a charity that makes a real difference in people's lives. Ideally, you'll have experience handling data, spotting trends, and presenting findings clearly. Strong teamwork skills are essential, as you'll be working with colleagues across our services to ensure data is accurate and impactful. A genuine interest in social impact, equality, or disability rights would be a bonus. If you're organised, curious, and motivated to help us demonstrate our charity's impact, we'd love to hear from you. What does this role involve? As a Data Analyst Assistant, you'll help turn data into insights that improve our services and demonstrate our impact. Your key tasks will include: Collecting and managing data- ensuring accurate, up-to-date records across our services. Analysing and reporting findings- creating dashboards, reports, and visualisations to guide decisions. Supporting funding bids and impact reports- providing clear data summaries for stakeholders. Ensuring data quality and compliance- following GDPR and governance standards. Helping staff use data tools- offering training and troubleshooting support. Collaborating across teams- tailoring reports and insights to different service needs. You'll play an important role in helping Midland Mencap make data-driven decisions that benefit people with learning disabilities. Experience Experience working with spreadsheets (Excel, Google Sheets) and data platforms (Power BI, Tableau, etc.). Experience in the voluntary/community or health and social care sector. Familiarity with CRM systems Experience of delivering training or troubleshooting to staff with digital tools and/or data systems. Skills, Abilities & Attributes Understanding of data collection methods and basic statistical analysis. Strong attention to detail and problem-solving skills. Good written and verbal communication skills. Ability to work independently and collaboratively across teams. Interest in social impact, equality, or disability rights. Ability to contribute to presentations or briefings for board meetings, commissioners, or partners. Understanding of GDPR and information governance standards. Training & Qualifications Working towards or holding a recognised qualification in relation to data analysis. Qualification(s) or certification(s) for relevant data platforms or systems. What we offer? Flexible working arrangements. Training and development opportunities Access to our Employee Assistance Programme. Pension scheme and annual leave entitlement.
AI ArchitectApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114908 AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team - LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards.This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities: Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable- Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to 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- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
24/07/2026
Full time
AI ArchitectApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114908 AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team - LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards.This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities: Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable- Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to 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- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
The Trafford & Stockport College Group is looking for a MIS Data Assistant to join the MIS team at Altrincham/Stockport. You will manage student and enrolment records, providing accurate admin support across the Group on a 21.75 hour per week contract (0.6 FTE). We offer training and guidance, with a focus on teamwork, strong communication, and flexible working to help colleagues deliver excellent student services.
23/07/2026
Full time
The Trafford & Stockport College Group is looking for a MIS Data Assistant to join the MIS team at Altrincham/Stockport. You will manage student and enrolment records, providing accurate admin support across the Group on a 21.75 hour per week contract (0.6 FTE). We offer training and guidance, with a focus on teamwork, strong communication, and flexible working to help colleagues deliver excellent student services.
We're on a mission to make real estate transactions smarter, faster, and friction-free. Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision. $60m Series B has been raised to accelerate our UK/US expansion. We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. Role Overview As a Legal Solutions Architect (UK) at Orbital, you'll sit at the intersection of commercial real estate law, product, and go-to-market execution. This is a client-facing role supporting our commercial real estate legal customers both pre- and post-sales: Pre-sales: partnering with Account Executives to win new business - running discovery, tailoring demos, shaping pilots and aligning Orbital Copilot to real-world transactional workflows. Post-sales: partnering with Customer Success to onboard teams effectively, coach users through change, and drive adoption, retention, and expansion across firms and legal teams. You'll be a trusted advisor to partners, PSLs/knowledge teams, innovation leaders, and fee-earners - and a key internal "Voice of the Customer" to Product, Engineering, Sales, and Marketing. This role is ideal for a currently practising UK real estate lawyer who's excited by the practical application of AI in legal work and thrives in dynamic, evolving environments. What you'll do Pre-sales: drive successful evaluations and close (40%) Partner closely with Account Executives to understand customer goals, legal workflows, and success criteria - and translate that into an effective evaluation plan. Lead legal workflow discovery with partners, associates, PSLs, paralegals, and innovation teams to uncover pain points and identify high-impact use cases. Deliver tailored product demonstrations, workshops, and stakeholder sessions that resonate with specific practice groups and transaction types. Design and run pilot programmes (scope, enablement, measurement, stakeholder management), ensuring clear outcomes and momentum through to commercial conversion. Provide credible subject-matter leadership in customer conversations, helping stakeholders understand what good looks like for AI-enabled real estate due diligence. Post-sales: accelerate onboarding, adoption, and retention (60%) Partner with Customer Success to onboard new accounts and practice groups, including enablement plans and role-based training. Coach lawyers and legal staff through workflow change - adapting your approach to different seniority levels and firm cultures. Identify friction points in implementation and adoption, and drive practical solutions (enablement, process design, best practices, internal champions). Support renewals and expansions by surfacing value proof points and helping customers scale usage into new matters or teams. Product & GTM: be the legal voice of the customer Translate customer feedback into actionable insights for Product and Engineering (workflows, accuracy, usability, knowledge gaps, and product performance). Partner with Marketing on practice-area-specific collateral and thought leadership content that speaks to lawyers (not technologists). Conduct light market/competitor research to inform positioning and sales strategy. Reinforce Orbital's market presence through activities such as publications, webinars/CPD sessions, and firm events. You should apply if You are a UK-qualified lawyer (solicitor or barrister) and are currently practising (or very recently practising) in commercial real estate. You have 4-8+ years PQE (we care more about depth of experience and credibility with fee-earners than a strict number). You understand commercial real estate legal workflows end-to-end, with experience across areas such as acquisitions/disposals, due diligence, leasing, development, real estate finance, construction, and/or title reporting. You enjoy being client-facing and are comfortable advising senior stakeholders (partners, heads of real estate, PSL/knowledge, innovation teams). You can break down complex legal work into clear, structured steps and explain concepts crisply to different audiences. You're highly tech-literate, curious, and motivated to learn how LLM-based systems add value - including safe and responsible adoption in legal environments. You thrive in a fast-moving, collaborative startup environment where priorities evolve and you take ownership. Nice to have Experience in (or strong familiarity with) legal tech, knowledge roles (PSL/knowledge lawyer), innovation teams, or process improvement. Strong facilitation skills (workshops, enablement sessions, stakeholder management, internal champion programmes). Experience supporting commercial processes (scoping, commercial proposals, procurement/security questionnaires, ROI/value cases). Experience creating reusable assets: templates, checklists, playbooks, or workflow standards. Benefits Competitive salary + performance-based bonus/commission (role dependent) + equity options Matched pension contributions Flexible working hours and location 25 days paid holiday (plus bank holidays) Professional equipment and a personal development budget, with training opportunities Cycle-to-work scheme An inclusive community enjoying all-company off-sites, lunches, and socials Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job-related knowledge, skills, experience, and business requirements.
21/07/2026
Full time
We're on a mission to make real estate transactions smarter, faster, and friction-free. Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision. $60m Series B has been raised to accelerate our UK/US expansion. We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. Role Overview As a Legal Solutions Architect (UK) at Orbital, you'll sit at the intersection of commercial real estate law, product, and go-to-market execution. This is a client-facing role supporting our commercial real estate legal customers both pre- and post-sales: Pre-sales: partnering with Account Executives to win new business - running discovery, tailoring demos, shaping pilots and aligning Orbital Copilot to real-world transactional workflows. Post-sales: partnering with Customer Success to onboard teams effectively, coach users through change, and drive adoption, retention, and expansion across firms and legal teams. You'll be a trusted advisor to partners, PSLs/knowledge teams, innovation leaders, and fee-earners - and a key internal "Voice of the Customer" to Product, Engineering, Sales, and Marketing. This role is ideal for a currently practising UK real estate lawyer who's excited by the practical application of AI in legal work and thrives in dynamic, evolving environments. What you'll do Pre-sales: drive successful evaluations and close (40%) Partner closely with Account Executives to understand customer goals, legal workflows, and success criteria - and translate that into an effective evaluation plan. Lead legal workflow discovery with partners, associates, PSLs, paralegals, and innovation teams to uncover pain points and identify high-impact use cases. Deliver tailored product demonstrations, workshops, and stakeholder sessions that resonate with specific practice groups and transaction types. Design and run pilot programmes (scope, enablement, measurement, stakeholder management), ensuring clear outcomes and momentum through to commercial conversion. Provide credible subject-matter leadership in customer conversations, helping stakeholders understand what good looks like for AI-enabled real estate due diligence. Post-sales: accelerate onboarding, adoption, and retention (60%) Partner with Customer Success to onboard new accounts and practice groups, including enablement plans and role-based training. Coach lawyers and legal staff through workflow change - adapting your approach to different seniority levels and firm cultures. Identify friction points in implementation and adoption, and drive practical solutions (enablement, process design, best practices, internal champions). Support renewals and expansions by surfacing value proof points and helping customers scale usage into new matters or teams. Product & GTM: be the legal voice of the customer Translate customer feedback into actionable insights for Product and Engineering (workflows, accuracy, usability, knowledge gaps, and product performance). Partner with Marketing on practice-area-specific collateral and thought leadership content that speaks to lawyers (not technologists). Conduct light market/competitor research to inform positioning and sales strategy. Reinforce Orbital's market presence through activities such as publications, webinars/CPD sessions, and firm events. You should apply if You are a UK-qualified lawyer (solicitor or barrister) and are currently practising (or very recently practising) in commercial real estate. You have 4-8+ years PQE (we care more about depth of experience and credibility with fee-earners than a strict number). You understand commercial real estate legal workflows end-to-end, with experience across areas such as acquisitions/disposals, due diligence, leasing, development, real estate finance, construction, and/or title reporting. You enjoy being client-facing and are comfortable advising senior stakeholders (partners, heads of real estate, PSL/knowledge, innovation teams). You can break down complex legal work into clear, structured steps and explain concepts crisply to different audiences. You're highly tech-literate, curious, and motivated to learn how LLM-based systems add value - including safe and responsible adoption in legal environments. You thrive in a fast-moving, collaborative startup environment where priorities evolve and you take ownership. Nice to have Experience in (or strong familiarity with) legal tech, knowledge roles (PSL/knowledge lawyer), innovation teams, or process improvement. Strong facilitation skills (workshops, enablement sessions, stakeholder management, internal champion programmes). Experience supporting commercial processes (scoping, commercial proposals, procurement/security questionnaires, ROI/value cases). Experience creating reusable assets: templates, checklists, playbooks, or workflow standards. Benefits Competitive salary + performance-based bonus/commission (role dependent) + equity options Matched pension contributions Flexible working hours and location 25 days paid holiday (plus bank holidays) Professional equipment and a personal development budget, with training opportunities Cycle-to-work scheme An inclusive community enjoying all-company off-sites, lunches, and socials Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job-related knowledge, skills, experience, and business requirements.
Location: On site - Loanhead, Edinburgh Flexible Working Options: 4-day working week (Mon - Thurs) Contract Type: Permanent Join Our Team: Engineering Support Assistant We are seeking a detail-focused and proactive Engineering Support Assistant to join our Engineering Support team at MacTaggart Scott. This role plays a key part in ensuring the accurate control, distribution, and maintenance of technical documentation and engineering data that supports our manufacturing and engineering operations. This is an excellent opportunity for someone who enjoys working in a structured, technical environment and takes pride in accuracy, organisation, and supporting wider engineering teams. You will play an important role in maintaining the integrity of technical drawings and Bill of Material (BoM) data within our ERP system, while also supporting wider engineering administration tasks. Based on site at our Loanhead facility, this role would suit someone who is highly organised, detail-oriented, and comfortable working closely with engineering, procurement, and technical teams in a fast-paced manufacturing environment. About Us MacTaggart Scott primarily supports the Naval Defence industry, providing complete solutions to customer needs from analysis of initial requirements, through design and manufacture, and right through to commissioning and through-life support. Established in 1898, we are proud of our history and tradition but believe that sustainable competitive advantage can only be achieved through continuous improvement, investment, and a commitment to business excellence at every level within the company. What is the job about? As our Engineering Support Assistant, you will be responsible for the control and distribution of technical drawings and the accurate input and maintenance of Bill of Material (BoM) data within our ERP system. You will play a vital role in ensuring that accurate and up-to-date engineering information is available across the business to support manufacturing, procurement, and supply chain activities. When workload allows, you will also support wider engineering administration activities, including Requests for Quotations (RFQs), NATO Stock Number (NSN) applications, and other semi-technical documentation tasks. Success in this role comes from accuracy, attention to detail, and the ability to work collaboratively with engineering and support functions to ensure smooth and efficient information flow across the business. Key Responsibilities will include but are not limited to: Issue manufacturing drawings (paper or electronic) to workshops, procurement, and subcontractors Maintain accurate records of drawing issue, distribution, and revision status Control and manage technical documentation in line with company procedures Support the processing of Requests for Quotations (RFQs) Input and maintain Bill of Material (BoM) data within the company ERP system Ensure accuracy and integrity of ERP system data relating to engineering information Allocate tariff codes to components where required Support NATO Stock Number (NSN) applications with accurate technical information Provide general administrative support to the Engineering Support function as required About You Strong attention to detail and a high level of accuracy Understanding of the importance of controlled technical documentation Proficient in Microsoft Office applications and confident working with data Able to communicate effectively across different business functions Organised, methodical, and able to prioritise workload Flexible and willing to support wider team activities when required Problem-solving mindset with a proactive approach Desirable: Previous experience in an engineering or manufacturing environment Familiarity with ERP systems (e.g. IFS) Experience working with technical drawings or documentation control Knowledge of mechanical, hydraulic, or electrical systems Experience with CREO and/or Windchill MoD security clearance or experience working in secure environments Your Future at MacTaggart Scott - What We Offer Flexible Working:Choose a 4- or 5-day week with flexible hours (07:00-19:00, core hours 09:30-15:30). Comprehensive Leave Policy including annual leave, paid parental leave, and military reservist leave. Career Development & Learning Support through our dedicated Learning and Development team. Wellbeing Programmes including an Employee Assistance Programme, online wellbeing resources, and onsite nurse. Health & Lifestyle Benefits such as life insurance, sick pay, free flu jabs, and a cycle-to-work scheme. Financial & Recognition Rewards including a company pension and a generous employee referral scheme. Convenience & Facilities: free onsite parking, canteen, and employee discounts.
20/07/2026
Full time
Location: On site - Loanhead, Edinburgh Flexible Working Options: 4-day working week (Mon - Thurs) Contract Type: Permanent Join Our Team: Engineering Support Assistant We are seeking a detail-focused and proactive Engineering Support Assistant to join our Engineering Support team at MacTaggart Scott. This role plays a key part in ensuring the accurate control, distribution, and maintenance of technical documentation and engineering data that supports our manufacturing and engineering operations. This is an excellent opportunity for someone who enjoys working in a structured, technical environment and takes pride in accuracy, organisation, and supporting wider engineering teams. You will play an important role in maintaining the integrity of technical drawings and Bill of Material (BoM) data within our ERP system, while also supporting wider engineering administration tasks. Based on site at our Loanhead facility, this role would suit someone who is highly organised, detail-oriented, and comfortable working closely with engineering, procurement, and technical teams in a fast-paced manufacturing environment. About Us MacTaggart Scott primarily supports the Naval Defence industry, providing complete solutions to customer needs from analysis of initial requirements, through design and manufacture, and right through to commissioning and through-life support. Established in 1898, we are proud of our history and tradition but believe that sustainable competitive advantage can only be achieved through continuous improvement, investment, and a commitment to business excellence at every level within the company. What is the job about? As our Engineering Support Assistant, you will be responsible for the control and distribution of technical drawings and the accurate input and maintenance of Bill of Material (BoM) data within our ERP system. You will play a vital role in ensuring that accurate and up-to-date engineering information is available across the business to support manufacturing, procurement, and supply chain activities. When workload allows, you will also support wider engineering administration activities, including Requests for Quotations (RFQs), NATO Stock Number (NSN) applications, and other semi-technical documentation tasks. Success in this role comes from accuracy, attention to detail, and the ability to work collaboratively with engineering and support functions to ensure smooth and efficient information flow across the business. Key Responsibilities will include but are not limited to: Issue manufacturing drawings (paper or electronic) to workshops, procurement, and subcontractors Maintain accurate records of drawing issue, distribution, and revision status Control and manage technical documentation in line with company procedures Support the processing of Requests for Quotations (RFQs) Input and maintain Bill of Material (BoM) data within the company ERP system Ensure accuracy and integrity of ERP system data relating to engineering information Allocate tariff codes to components where required Support NATO Stock Number (NSN) applications with accurate technical information Provide general administrative support to the Engineering Support function as required About You Strong attention to detail and a high level of accuracy Understanding of the importance of controlled technical documentation Proficient in Microsoft Office applications and confident working with data Able to communicate effectively across different business functions Organised, methodical, and able to prioritise workload Flexible and willing to support wider team activities when required Problem-solving mindset with a proactive approach Desirable: Previous experience in an engineering or manufacturing environment Familiarity with ERP systems (e.g. IFS) Experience working with technical drawings or documentation control Knowledge of mechanical, hydraulic, or electrical systems Experience with CREO and/or Windchill MoD security clearance or experience working in secure environments Your Future at MacTaggart Scott - What We Offer Flexible Working:Choose a 4- or 5-day week with flexible hours (07:00-19:00, core hours 09:30-15:30). Comprehensive Leave Policy including annual leave, paid parental leave, and military reservist leave. Career Development & Learning Support through our dedicated Learning and Development team. Wellbeing Programmes including an Employee Assistance Programme, online wellbeing resources, and onsite nurse. Health & Lifestyle Benefits such as life insurance, sick pay, free flu jabs, and a cycle-to-work scheme. Financial & Recognition Rewards including a company pension and a generous employee referral scheme. Convenience & Facilities: free onsite parking, canteen, and employee discounts.
Role: MIS Data Assistant Salary: £25,515 - £26,155 FTE (£15,309.00 - £15,693.00 pro rata for 21.75 hours per week, 0.6 FTE). Hours: 21.75 hours per week Employer Pension Contribution: 15% Location: Trafford and Stockport College Group (Altrincham or Stockport Campus) The Trafford & Stockport College Group (TSCG) has an opportunity for a Data Assistant to join the MIS team to help us achieve our vision of unlocking potential and fostering success. The Role: You will provide support for the MIS function, based at Altrincham/Stockport and working flexibly to support colleagues across the Group. You will have responsibility for student and enrolment records, and work with the MIS Team Leader to provide an exceptional administrative service to our students. One of the most important attributes is the ability to demonstrate strong teamwork skills and a 'can do' attitude. If this is your first role in administration, no problem, you will be fully supported with training and guidance from the wider MIS and Exams team. About you: If you are passionate about administration and sharing your knowledge, skills and experience and have an enthusiasm for making a difference then there has never been a better time to join The Trafford & Stockport College Group. We are looking for an effective communicator with excellent organisational skills and the ability to be highly motivated and flexible to change. Experience is desirable but not essential as full training will be given. About TSCG: - A Great Place to Work Every year, thousands of students join us on courses that are designed to further their career prospects, enable transition to higher education or simply satisfy a desire to learn new skills and support well-being. Employment at The Trafford & Stockport College Group brings many benefits including: Benefits 48 days annual leave (Inclusive of bank holidays) Generous contributory company pension scheme Childcare discounts Onsite Starbucks Employee Assistance Programme Continuous Professional Development Free Parking Exclusive commercial discounts via the CSSC scheme Colleagues at The Trafford & Stockport College Group go above and beyond to ensure that our students get the best possible teaching and support to enable them to reach their ambitions. We expect the very highest standards for all of our students, and this is evidenced year after year by our achievement and progression outcomes. The Trafford & Stockport College Group promotes, celebrates and values diversity and is committed to promoting equality for all. As part of our commitment to being a Disability Confident Employer, all disabled applicants who meet the minimum requirements of the job, as set out in the job description and person specification, will be guaranteed an interview. The Trafford & Stockport College Group is committed to safeguarding and promoting the welfare of all learners and expects all staff to share this commitment. Employment at the Trafford & Stockport College Group is subject to an Enhanced DBS Check via the Disclosure and Barring Service and any post in regulated activity will also be subject to an additional barred list check. The Group will meet the costs associated with this.
20/07/2026
Full time
Role: MIS Data Assistant Salary: £25,515 - £26,155 FTE (£15,309.00 - £15,693.00 pro rata for 21.75 hours per week, 0.6 FTE). Hours: 21.75 hours per week Employer Pension Contribution: 15% Location: Trafford and Stockport College Group (Altrincham or Stockport Campus) The Trafford & Stockport College Group (TSCG) has an opportunity for a Data Assistant to join the MIS team to help us achieve our vision of unlocking potential and fostering success. The Role: You will provide support for the MIS function, based at Altrincham/Stockport and working flexibly to support colleagues across the Group. You will have responsibility for student and enrolment records, and work with the MIS Team Leader to provide an exceptional administrative service to our students. One of the most important attributes is the ability to demonstrate strong teamwork skills and a 'can do' attitude. If this is your first role in administration, no problem, you will be fully supported with training and guidance from the wider MIS and Exams team. About you: If you are passionate about administration and sharing your knowledge, skills and experience and have an enthusiasm for making a difference then there has never been a better time to join The Trafford & Stockport College Group. We are looking for an effective communicator with excellent organisational skills and the ability to be highly motivated and flexible to change. Experience is desirable but not essential as full training will be given. About TSCG: - A Great Place to Work Every year, thousands of students join us on courses that are designed to further their career prospects, enable transition to higher education or simply satisfy a desire to learn new skills and support well-being. Employment at The Trafford & Stockport College Group brings many benefits including: Benefits 48 days annual leave (Inclusive of bank holidays) Generous contributory company pension scheme Childcare discounts Onsite Starbucks Employee Assistance Programme Continuous Professional Development Free Parking Exclusive commercial discounts via the CSSC scheme Colleagues at The Trafford & Stockport College Group go above and beyond to ensure that our students get the best possible teaching and support to enable them to reach their ambitions. We expect the very highest standards for all of our students, and this is evidenced year after year by our achievement and progression outcomes. The Trafford & Stockport College Group promotes, celebrates and values diversity and is committed to promoting equality for all. As part of our commitment to being a Disability Confident Employer, all disabled applicants who meet the minimum requirements of the job, as set out in the job description and person specification, will be guaranteed an interview. The Trafford & Stockport College Group is committed to safeguarding and promoting the welfare of all learners and expects all staff to share this commitment. Employment at the Trafford & Stockport College Group is subject to an Enhanced DBS Check via the Disclosure and Barring Service and any post in regulated activity will also be subject to an additional barred list check. The Group will meet the costs associated with this.
Ecommerce Data Analyst - EMEA Location: Basingstoke / Hybrid (3 days office 2 WFH) Salary: 45,000- 50,000 DOE + Bonus + Excellent Benefits About the Company My client is a global consumer goods business with a portfolio of leading brands across beauty, personal care and lifestyle categories, sold through major retailers and ecommerce platforms across EMEA. With Ecommerce being a key growth priority, with increasing focus on driving sell-out performance, conversion and execution across priority SKUs and retailers. Continuing to build a lean, high-impact Ecommerce team focused on accelerating performance where it matters most, with clear ownership of outcomes and a strong bias for execution. The Role Reporting into the Head of Ecommerce EMEA, this role will serve as the analytical backbone of the eCommerce Acceleration team. You will be responsible for identifying where growth opportunities exist, where performance is being lost, and what actions will have the greatest commercial impact. Working closely with the Retail Growth Lead, Retail Media Lead and Digital Shelf Lead, you will translate data into clear priorities and actionable recommendations. This role is focused on driving decisions, not just producing reports. Key Responsibilities Performance & Insight Analyse performance across priority retailers and SKUs Identify trends, opportunities and root causes of underperformance Translate data into commercially relevant recommendations SKU & Retailer Prioritisation Help determine where the business should focus investment and effort Develop prioritisation frameworks for SKUs, retailers and initiatives Ensure resources are directed towards the highest growth opportunities Retail Media & Digital Shelf Analytics Identify links between content quality, media investment and conversion performance Measure the impact of optimisation initiatives and test-and-learn programmes Support ongoing improvement of media ROI and ecommerce conversion Business Partnering Act as a trusted analytical partner to the Ecommerce leadership team Support weekly business reviews with insight and recommendations Present findings clearly to both technical and non-technical stakeholders Dashboarding & Automation High competence using Power BI dashboards and reporting tools Improve visibility and accessibility of ecommerce performance data Automate reporting and reduce manual analysis wherever possible What We're Looking For FMCG and/or Lifestyle/Beauty category experience preferred 3+ years' experience in ecommerce, commercial analytics, business intelligence or data analytics Advanced Excel skills and experienced Power BI/Tableau user Strong commercial mindset with the ability to turn data into action Experience analysing sales, traffic, conversion or digital performance metrics Ability to communicate complex analysis in a clear and practical way Curious, proactive and comfortable challenging assumptions Highly organised with strong attention to detail Why Join? This is an opportunity to become the analytical engine of a newly established eCommerce Acceleration team. You will work directly with senior leadership and influence where the business invests, which opportunities it pursues and how success is measured. The role offers exposure across ecommerce strategy, retail media, digital shelf and commercial performance, with a direct impact on growth across EMEA. Benefits include- Up to 50,000 salary DOE + bonus Annual pay reviews Hybrid working - 3 days office 2 WFH 35 hours per week during the hours of 9.00 to 17.00. Holidays 25 per year- up to 28 days + Bank Holidays Pension contributions Private Medical Health cover including family Private Dental Cover Critical Illness cover Life Assurance Eye Care Scheme Employee Assistant Programme Subsidised Sport Membership Scheme to a value of 250 per year Beautiful contemporary office and wonderful flexible working culture! Please get in touch to hear more! TJEXE
14/07/2026
Full time
Ecommerce Data Analyst - EMEA Location: Basingstoke / Hybrid (3 days office 2 WFH) Salary: 45,000- 50,000 DOE + Bonus + Excellent Benefits About the Company My client is a global consumer goods business with a portfolio of leading brands across beauty, personal care and lifestyle categories, sold through major retailers and ecommerce platforms across EMEA. With Ecommerce being a key growth priority, with increasing focus on driving sell-out performance, conversion and execution across priority SKUs and retailers. Continuing to build a lean, high-impact Ecommerce team focused on accelerating performance where it matters most, with clear ownership of outcomes and a strong bias for execution. The Role Reporting into the Head of Ecommerce EMEA, this role will serve as the analytical backbone of the eCommerce Acceleration team. You will be responsible for identifying where growth opportunities exist, where performance is being lost, and what actions will have the greatest commercial impact. Working closely with the Retail Growth Lead, Retail Media Lead and Digital Shelf Lead, you will translate data into clear priorities and actionable recommendations. This role is focused on driving decisions, not just producing reports. Key Responsibilities Performance & Insight Analyse performance across priority retailers and SKUs Identify trends, opportunities and root causes of underperformance Translate data into commercially relevant recommendations SKU & Retailer Prioritisation Help determine where the business should focus investment and effort Develop prioritisation frameworks for SKUs, retailers and initiatives Ensure resources are directed towards the highest growth opportunities Retail Media & Digital Shelf Analytics Identify links between content quality, media investment and conversion performance Measure the impact of optimisation initiatives and test-and-learn programmes Support ongoing improvement of media ROI and ecommerce conversion Business Partnering Act as a trusted analytical partner to the Ecommerce leadership team Support weekly business reviews with insight and recommendations Present findings clearly to both technical and non-technical stakeholders Dashboarding & Automation High competence using Power BI dashboards and reporting tools Improve visibility and accessibility of ecommerce performance data Automate reporting and reduce manual analysis wherever possible What We're Looking For FMCG and/or Lifestyle/Beauty category experience preferred 3+ years' experience in ecommerce, commercial analytics, business intelligence or data analytics Advanced Excel skills and experienced Power BI/Tableau user Strong commercial mindset with the ability to turn data into action Experience analysing sales, traffic, conversion or digital performance metrics Ability to communicate complex analysis in a clear and practical way Curious, proactive and comfortable challenging assumptions Highly organised with strong attention to detail Why Join? This is an opportunity to become the analytical engine of a newly established eCommerce Acceleration team. You will work directly with senior leadership and influence where the business invests, which opportunities it pursues and how success is measured. The role offers exposure across ecommerce strategy, retail media, digital shelf and commercial performance, with a direct impact on growth across EMEA. Benefits include- Up to 50,000 salary DOE + bonus Annual pay reviews Hybrid working - 3 days office 2 WFH 35 hours per week during the hours of 9.00 to 17.00. Holidays 25 per year- up to 28 days + Bank Holidays Pension contributions Private Medical Health cover including family Private Dental Cover Critical Illness cover Life Assurance Eye Care Scheme Employee Assistant Programme Subsidised Sport Membership Scheme to a value of 250 per year Beautiful contemporary office and wonderful flexible working culture! Please get in touch to hear more! TJEXE
We're on a mission to make real estate transactions smarter, faster, and friction-free. Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision. We've just raised a $60m Series B to accelerate our UK/US expansion. We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. Our vision We're building the AI that runs real estate transactions end-to-end. Today, property deals depend on overworked lawyers buried in paperwork and reports - a system that's slow, expensive, and stuck in the last century. We're replacing it with autonomous AI that handles the work from instruction to completion, so deals move at the speed of decisions, not documents. Our mission Our mission is to help any professional or individual involved in a property transaction to properly understand what they are getting into, from the outset, before incurring legal fees. Our values We are Bold & Ambitious (changing an entire industry is hard!) We give Power to our People (we give exceptional people autonomy to succeed) We Question or Commit (we welcome debate, but love reaching quick decisions) and we Eat that Frog! (we take on the hardest thing first) Role Overview We are seeking an exceptional Senior/Staff AI Engineer to join us at a defining moment for the company and for AI itself. You'll be a senior technical leader on Orbital Copilot - our agentic AI system reshaping how commercial real estate transactions get done, and a force multiplier on the rest of the AI org. This is not a role for someone looking to transition into AI. We're looking for an engineer who has lived and breathed AI/ML for years, who has built and scaled AI or agentic products from zero to multi million ARR, and who has the scars and intuitions to prove it. You've shipped systems where model behaviour, evaluation rigour, and product instincts had to come together for the business to work - and you've done it in production, with real users, real money, and real consequences. We're looking for someone who has a clear, considered mental model of where this technology is heading, what genuinely matters, and what's noise. You're opinionated about agent design, evals, model selection, and the right level of abstraction - because you've earned those opinions the hard way. At Orbital, we leverage the most intelligent, bleeding edge models from leading AI labs like OpenAI and Anthropic, and we're building one of the most ambitious agentic systems in legal AI. You'll own technical direction on hard problems - multi agent orchestration, long horizon reasoning, retrieval and document understanding at scale, and the evaluation infrastructure that lets us move fast without breaking trust. You'll set the bar for the wider AI engineering team, mentor strong engineers, and partner closely with the VP of AI, AI product managers, real estate legal domain experts, and software engineers to take Orbital Copilot to the next order of magnitude. You will get a chance to: Set technical direction for Orbital Copilot's agentic architecture and the AI systems underpinning our next generation of products. Design, build, and scale complex AI features end to end - from research spike to production system serving high stakes legal workflows. Drive the hardest AI problems we face: multi agent systems, long context reasoning, retrieval augmented generation, document understanding pipelines, and frontier model integration. Build the evaluation, monitoring, and reliability infrastructure that makes shipping AI in regulated, high trust environments possible. Raise the bar on the AI engineering team - through code review, architecture review, mentorship, and the standards you set in your own work. Partner with the VP of AI, AI PMs, and legal domain experts to translate a strong product worldview into systems that move customer and business metrics. Make the calls on model choice, abstractions, and trade offs that compound across the company's roadmap. You should apply if: You have a deep AI/ML background with several years working hands on with modern AI systems - not adjacent to them. You have built and scaled an AI or agentic product from early stages to multi million ARR, and can speak concretely to the technical and product decisions that got it there. You have a track record of excellence - a clear, demonstrable bar reached in your work, research, or both. We want to see evidence you've operated at the very top of your field. You have a well formed thesis on where the frontier is going and what it means for product, and you bring that perspective to every decision. You are AGI pilled with real conviction and the technical chops to back it up in production. You've owned production AI systems through deployment, evaluation, monitoring, and continuous improvement and know what good looks like. You raise the bar for the engineers around you and have a track record of doing so. You have excellent verbal and written communication skills in English, and can make sharp, opinionated technical arguments land with both engineers and non engineers. It would also be nice if you have: Deep, hands on experience with frontier LLMs (OpenAI's GPT 5, Anthropic's Claude models, Google's Gemini) and agentic frameworks. Experience designing and operating multi agent systems or complex agentic architectures in production. A strong evaluation and experimentation discipline - you've built eval harnesses, offline/online evaluation pipelines, and you treat evals as a first class part of the product. Experience building high performance, distributed systems at scale. Proven expertise in building highly secure, fault tolerant APIs. Strong understanding of modern dev practices like 12 Factor, CI/CD, and observability tools such as Datadog or Prometheus. Exposure to GraphQL APIs and WebSockets for real time interactions. Any frontend experience. Benefits Competitive starting salary Matched pension contributions and equity options in a fast growing start up Flexible working hours and location 25 days paid holiday (plus bank holidays) Professional equipment and personal development budget along with training opportunities to learn and develop your skills Free lunch on Wednesdays and Deliveroo budget for late nights Cycle to work scheme Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job related knowledge, skills, experience, and business requirements.
14/07/2026
Full time
We're on a mission to make real estate transactions smarter, faster, and friction-free. Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision. We've just raised a $60m Series B to accelerate our UK/US expansion. We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. Our vision We're building the AI that runs real estate transactions end-to-end. Today, property deals depend on overworked lawyers buried in paperwork and reports - a system that's slow, expensive, and stuck in the last century. We're replacing it with autonomous AI that handles the work from instruction to completion, so deals move at the speed of decisions, not documents. Our mission Our mission is to help any professional or individual involved in a property transaction to properly understand what they are getting into, from the outset, before incurring legal fees. Our values We are Bold & Ambitious (changing an entire industry is hard!) We give Power to our People (we give exceptional people autonomy to succeed) We Question or Commit (we welcome debate, but love reaching quick decisions) and we Eat that Frog! (we take on the hardest thing first) Role Overview We are seeking an exceptional Senior/Staff AI Engineer to join us at a defining moment for the company and for AI itself. You'll be a senior technical leader on Orbital Copilot - our agentic AI system reshaping how commercial real estate transactions get done, and a force multiplier on the rest of the AI org. This is not a role for someone looking to transition into AI. We're looking for an engineer who has lived and breathed AI/ML for years, who has built and scaled AI or agentic products from zero to multi million ARR, and who has the scars and intuitions to prove it. You've shipped systems where model behaviour, evaluation rigour, and product instincts had to come together for the business to work - and you've done it in production, with real users, real money, and real consequences. We're looking for someone who has a clear, considered mental model of where this technology is heading, what genuinely matters, and what's noise. You're opinionated about agent design, evals, model selection, and the right level of abstraction - because you've earned those opinions the hard way. At Orbital, we leverage the most intelligent, bleeding edge models from leading AI labs like OpenAI and Anthropic, and we're building one of the most ambitious agentic systems in legal AI. You'll own technical direction on hard problems - multi agent orchestration, long horizon reasoning, retrieval and document understanding at scale, and the evaluation infrastructure that lets us move fast without breaking trust. You'll set the bar for the wider AI engineering team, mentor strong engineers, and partner closely with the VP of AI, AI product managers, real estate legal domain experts, and software engineers to take Orbital Copilot to the next order of magnitude. You will get a chance to: Set technical direction for Orbital Copilot's agentic architecture and the AI systems underpinning our next generation of products. Design, build, and scale complex AI features end to end - from research spike to production system serving high stakes legal workflows. Drive the hardest AI problems we face: multi agent systems, long context reasoning, retrieval augmented generation, document understanding pipelines, and frontier model integration. Build the evaluation, monitoring, and reliability infrastructure that makes shipping AI in regulated, high trust environments possible. Raise the bar on the AI engineering team - through code review, architecture review, mentorship, and the standards you set in your own work. Partner with the VP of AI, AI PMs, and legal domain experts to translate a strong product worldview into systems that move customer and business metrics. Make the calls on model choice, abstractions, and trade offs that compound across the company's roadmap. You should apply if: You have a deep AI/ML background with several years working hands on with modern AI systems - not adjacent to them. You have built and scaled an AI or agentic product from early stages to multi million ARR, and can speak concretely to the technical and product decisions that got it there. You have a track record of excellence - a clear, demonstrable bar reached in your work, research, or both. We want to see evidence you've operated at the very top of your field. You have a well formed thesis on where the frontier is going and what it means for product, and you bring that perspective to every decision. You are AGI pilled with real conviction and the technical chops to back it up in production. You've owned production AI systems through deployment, evaluation, monitoring, and continuous improvement and know what good looks like. You raise the bar for the engineers around you and have a track record of doing so. You have excellent verbal and written communication skills in English, and can make sharp, opinionated technical arguments land with both engineers and non engineers. It would also be nice if you have: Deep, hands on experience with frontier LLMs (OpenAI's GPT 5, Anthropic's Claude models, Google's Gemini) and agentic frameworks. Experience designing and operating multi agent systems or complex agentic architectures in production. A strong evaluation and experimentation discipline - you've built eval harnesses, offline/online evaluation pipelines, and you treat evals as a first class part of the product. Experience building high performance, distributed systems at scale. Proven expertise in building highly secure, fault tolerant APIs. Strong understanding of modern dev practices like 12 Factor, CI/CD, and observability tools such as Datadog or Prometheus. Exposure to GraphQL APIs and WebSockets for real time interactions. Any frontend experience. Benefits Competitive starting salary Matched pension contributions and equity options in a fast growing start up Flexible working hours and location 25 days paid holiday (plus bank holidays) Professional equipment and personal development budget along with training opportunities to learn and develop your skills Free lunch on Wednesdays and Deliveroo budget for late nights Cycle to work scheme Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job related knowledge, skills, experience, and business requirements.
Data Scientist IIIApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114916 Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the te am: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to the employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
13/07/2026
Full time
Data Scientist IIIApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114916 Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the te am: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to the employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to the employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
12/07/2026
Full time
Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to the employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Senior Data Scientist IApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114918 Senior Data Scientist I Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measureds by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
12/07/2026
Full time
Senior Data Scientist IApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114918 Senior Data Scientist I Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measureds by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Data Scientist I Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI powered insights, and purpose built workflows. Protégé in PatentSight is LNIP's next generation agentic AI assistant, purpose built for strategic patent analysis. Protégé replaces complex filter based workflows with natural language questions, surfacing structured, decision ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. Equal Employment 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. USA Job Seekers: EEO Know Your Rights.
12/07/2026
Full time
Senior Data Scientist I Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI powered insights, and purpose built workflows. Protégé in PatentSight is LNIP's next generation agentic AI assistant, purpose built for strategic patent analysis. Protégé replaces complex filter based workflows with natural language questions, surfacing structured, decision ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. Equal Employment 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. USA Job Seekers: EEO Know Your Rights.
Ready to pioneer the future of AI-augmented engineering and redefine the speed of software delivery? This could be the place for you! $113M funded. Global footprint. AI-powered. Human-driven. INSHUR is the embedded insurance powerhouse for the on-demand world. We partner with giants like Uber and Amazon to provide fair, data-backed coverage for the modern workforce. We're 220 people strong across the UK, US, and Netherlands, using AI as a multiplier to stay ahead of the curve. Want to work where tech actually meets the road? You're in the right place. The role As a Product-Minded Senior Software Engineer III, you will be responsible for incrementally shipping value to customers, orchestrating AI agents to research, plan, and implement changes to our products while iterating with the wider team to leverage these tools to increase velocity and quality. This role reports to an Engineering Manager and sits within a product team of 8-10, who believe in pioneering AI engineering workflows and transforming team practices through agentic collaboration. This is a Hybrid role requiring regular in-person team meetings at our Brighton office, typically held on the last Thursday of each month for team connection. What you'll do Own and Ship Customer Value: You'll deliver incremental customer value through features and projects across INSHUR's policy, claims, and internal tooling products - shipping outcomes that users actually feel. AI-Native Development: Leverage agentic coding tools (Claude Code, Cursor) to research, plan, architect, and implement product changes quickly and with high quality, by guiding agents through complex tasks and validating against engineering standards. Write Code That Matters: You'll write and review code across Go, Java (Spring), and/or Node.js, using AI tooling to bridge syntax gaps rapidly without compromising correctness. You'll define and implement tests in business-readable language that lock in behaviour. Lead Problem Resolution: You'll be the trusted expert for critical bugs and incidents in your area, using AI tooling to diagnose fast and resolve with confidence, preventing customer impact and building team resilience. Drive Wider Initiatives: You'll shape how INSHUR engineers work by contributing to squad, collective, or discipline-level initiatives, especially those advancing AI-augmented engineering practices across the organisation. Own Observability: You'll ensure systems stay healthy and visible by identifying monitoring gaps and independently managing escalations, building confidence that your area runs smoothly. Collaborate Across Functions: You'll work directly with product managers and designers to understand customer needs across our policy, claims, and internal tooling products, ensuring engineering decisions are shaped by real customer context. What we're looking for We care more about how you think than what's on your CV. If you meet most of the essentials and are excited about the problem, apply. Essential Product mindset: You can take an idea and break it down into small iterations of value Outcome driven: Rather than going deep on tooling, you're focussed on delivering value to customers in terms they understand AI-Native / Agentic Workflow: You have effectively used tools like Claude Code to plan, architect, and code, and can clearly explain how you steer agents to achieve complex goals. Golang / Java/NodeJS - Polyglot Mindset: You possess a solid understanding of Go, Java (inc Spring) or NodeJS to verify code, while being able to use AI to bridge syntax gaps rapidly. Testing & Quality Assurance: You are able to articulate tests in business language, even when code is generated by AI. Innovation & Growth Mindset: You are passionate about bringing new workflows to a scale-up environment and "learning in the open." Nice to have Scaling Experience: You have worked with asynchronous distributed systems AI Tooling Proficiency: You bring to the table novel ideas and flows around AI coding assistants like Cursor or Claude Code Mentorship Track Record: You have experience sharing knowledge and upskilling teams on new technologies or methodologies. Behavioural testing mindset: When it comes to testing, you think in terms of locking in behaviour, not implementation What to expect from the process Screen & Intro: 30-minute video call with the Talent Team to discuss the role and your experience with AI agents. HM Interview: 45-60 minute video call with the Engineering Manager and Head of Engineering to delve into workflow, mindset, and AI tool usage. The "Agent" Test: A live technical task where you'll use Claude Code (or your preferred agent) to solve a complex requirement or refactor code. Final Stage: 45-60 minute interview with the broader team and People Team to assess collaboration and "Learning in the open." We design this to be a two-way conversation. Come with questions - we want you to leave knowing whether this is the right move for you. We also use AI tools to support our hiring process - not to make decisions, but to help us run a fairer, faster process. You can read more about how we approach that here, including tips for how you can use AI to prepare. What we offer We've also built a benefits package that invests in our people's long-term personal and professional growth and wellbeing. Here's a sample of what this includes; Salary £70-£80,000, depending on experience and location, plus stock options for every employee 30 days of holiday annually, plus bank holidays Private healthcare for you and your family, including pre-existing conditions Life insurance at 3x your salary 13 weeks parental leave at full pay for new parents Workplace nursery scheme with Gogeta, allowing you to pay fees pre-tax Ride to work scheme Workplace pension scheme to help you save for retirement Flexible working hours to suit your lifestyle £500 annual personal training allowance plus regular learning opportunities on a variety of topics £40 monthly wellbeing to keep you healthy 24/7 Employee Assistance Program, covering you and immediate family members-offering crisis support, counselling, legal advice, menopause CBT, and more Unlimited AI usage with Claude and Gemini Working here You'll do well here if you: Move through ambiguity without waiting for a perfect brief Take ownership of outcomes, not just tasks Adapt quickly when priorities shift, and help others do the same Look for ways to improve how things work, not just how to complete them Use tools, data, and colleagues to make better decisions This probably isn't the right fit if you: Prefer clearly defined processes and a stable, slow-moving environment Are most comfortable staying within the boundaries of your job description Find frequent context-switching draining rather than energising Inclusion and flexibility INSHUR is committed to building a team where everyone can bring their full self to work. We follow a structured hiring process and train our interview teams to support fairness and reduce bias. We welcome applications from people of all backgrounds. We do not discriminate on the basis of race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, or age. This role is advertised as full-time. We're open to discussing part-time, job-sharing, or other flexible arrangements for the right person. If you need any adjustments during the process, let us know and we'll do our best to accommodate.
10/07/2026
Full time
Ready to pioneer the future of AI-augmented engineering and redefine the speed of software delivery? This could be the place for you! $113M funded. Global footprint. AI-powered. Human-driven. INSHUR is the embedded insurance powerhouse for the on-demand world. We partner with giants like Uber and Amazon to provide fair, data-backed coverage for the modern workforce. We're 220 people strong across the UK, US, and Netherlands, using AI as a multiplier to stay ahead of the curve. Want to work where tech actually meets the road? You're in the right place. The role As a Product-Minded Senior Software Engineer III, you will be responsible for incrementally shipping value to customers, orchestrating AI agents to research, plan, and implement changes to our products while iterating with the wider team to leverage these tools to increase velocity and quality. This role reports to an Engineering Manager and sits within a product team of 8-10, who believe in pioneering AI engineering workflows and transforming team practices through agentic collaboration. This is a Hybrid role requiring regular in-person team meetings at our Brighton office, typically held on the last Thursday of each month for team connection. What you'll do Own and Ship Customer Value: You'll deliver incremental customer value through features and projects across INSHUR's policy, claims, and internal tooling products - shipping outcomes that users actually feel. AI-Native Development: Leverage agentic coding tools (Claude Code, Cursor) to research, plan, architect, and implement product changes quickly and with high quality, by guiding agents through complex tasks and validating against engineering standards. Write Code That Matters: You'll write and review code across Go, Java (Spring), and/or Node.js, using AI tooling to bridge syntax gaps rapidly without compromising correctness. You'll define and implement tests in business-readable language that lock in behaviour. Lead Problem Resolution: You'll be the trusted expert for critical bugs and incidents in your area, using AI tooling to diagnose fast and resolve with confidence, preventing customer impact and building team resilience. Drive Wider Initiatives: You'll shape how INSHUR engineers work by contributing to squad, collective, or discipline-level initiatives, especially those advancing AI-augmented engineering practices across the organisation. Own Observability: You'll ensure systems stay healthy and visible by identifying monitoring gaps and independently managing escalations, building confidence that your area runs smoothly. Collaborate Across Functions: You'll work directly with product managers and designers to understand customer needs across our policy, claims, and internal tooling products, ensuring engineering decisions are shaped by real customer context. What we're looking for We care more about how you think than what's on your CV. If you meet most of the essentials and are excited about the problem, apply. Essential Product mindset: You can take an idea and break it down into small iterations of value Outcome driven: Rather than going deep on tooling, you're focussed on delivering value to customers in terms they understand AI-Native / Agentic Workflow: You have effectively used tools like Claude Code to plan, architect, and code, and can clearly explain how you steer agents to achieve complex goals. Golang / Java/NodeJS - Polyglot Mindset: You possess a solid understanding of Go, Java (inc Spring) or NodeJS to verify code, while being able to use AI to bridge syntax gaps rapidly. Testing & Quality Assurance: You are able to articulate tests in business language, even when code is generated by AI. Innovation & Growth Mindset: You are passionate about bringing new workflows to a scale-up environment and "learning in the open." Nice to have Scaling Experience: You have worked with asynchronous distributed systems AI Tooling Proficiency: You bring to the table novel ideas and flows around AI coding assistants like Cursor or Claude Code Mentorship Track Record: You have experience sharing knowledge and upskilling teams on new technologies or methodologies. Behavioural testing mindset: When it comes to testing, you think in terms of locking in behaviour, not implementation What to expect from the process Screen & Intro: 30-minute video call with the Talent Team to discuss the role and your experience with AI agents. HM Interview: 45-60 minute video call with the Engineering Manager and Head of Engineering to delve into workflow, mindset, and AI tool usage. The "Agent" Test: A live technical task where you'll use Claude Code (or your preferred agent) to solve a complex requirement or refactor code. Final Stage: 45-60 minute interview with the broader team and People Team to assess collaboration and "Learning in the open." We design this to be a two-way conversation. Come with questions - we want you to leave knowing whether this is the right move for you. We also use AI tools to support our hiring process - not to make decisions, but to help us run a fairer, faster process. You can read more about how we approach that here, including tips for how you can use AI to prepare. What we offer We've also built a benefits package that invests in our people's long-term personal and professional growth and wellbeing. Here's a sample of what this includes; Salary £70-£80,000, depending on experience and location, plus stock options for every employee 30 days of holiday annually, plus bank holidays Private healthcare for you and your family, including pre-existing conditions Life insurance at 3x your salary 13 weeks parental leave at full pay for new parents Workplace nursery scheme with Gogeta, allowing you to pay fees pre-tax Ride to work scheme Workplace pension scheme to help you save for retirement Flexible working hours to suit your lifestyle £500 annual personal training allowance plus regular learning opportunities on a variety of topics £40 monthly wellbeing to keep you healthy 24/7 Employee Assistance Program, covering you and immediate family members-offering crisis support, counselling, legal advice, menopause CBT, and more Unlimited AI usage with Claude and Gemini Working here You'll do well here if you: Move through ambiguity without waiting for a perfect brief Take ownership of outcomes, not just tasks Adapt quickly when priorities shift, and help others do the same Look for ways to improve how things work, not just how to complete them Use tools, data, and colleagues to make better decisions This probably isn't the right fit if you: Prefer clearly defined processes and a stable, slow-moving environment Are most comfortable staying within the boundaries of your job description Find frequent context-switching draining rather than energising Inclusion and flexibility INSHUR is committed to building a team where everyone can bring their full self to work. We follow a structured hiring process and train our interview teams to support fairness and reduce bias. We welcome applications from people of all backgrounds. We do not discriminate on the basis of race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, or age. This role is advertised as full-time. We're open to discussing part-time, job-sharing, or other flexible arrangements for the right person. If you need any adjustments during the process, let us know and we'll do our best to accommodate.
. 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
09/07/2026
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
People Systems & AI Specialist - FTC 6 months Department: People Employment Type: Fixed Term Contract Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £45,000 - £55,000 / year Description FTC - 6 months Salary - £45,000 per year pro rata Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our "Powerhouse" goal. This is a dedicated, fixed-term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as possible. You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify "admin-heavy" workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don't just store information, but actively drive better decision making across the business and continue to be systems of engagement. Key Responsibilities HRIS Optimisation & Mastery: Conduct a deep dive audit of our current HRIS capabilities. Lead the cleanup of data structures and ensure we are utilising 100% of the system's potential to drive efficiency. Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g., contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations. AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless, sign on experience for employees. Digital Upskilling: Mentor the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure. Skills, Knowledge & Expertise Systems Expert: Deep experience with multiple HRIS platforms (e.g., HiBob, BambooHR, Workday) and a proven track record of complex implementations. Automation Fluency: "No code/low code" enthusiast with understanding of connecting systems and automating triggers to save hundreds of hours of manual work. AI Practitioner: Experience building custom agents or using LLMs to solve specific operational problems. Data Visualisation: Comprehensive skills in tools like Tableau, PowerBI, or Google Looker Studio, with ability to turn messy data into a clear, strategic story. Project Management Rigour: Able to work in a fixed term role, ruthlessly organised, focusing on minimum viable products (MVPs) and rapid delivery cycles. Translator Ability: Ability to relate complex information and processes to engineering squads and People team specialists, ensuring alignment on the digital roadmap. Job Benefits 30 days holiday plus bank holidays (pro rata) Flexible parental leave options Remote working: part time remote working for all staff Paid counselling and financial/legal advice Flexible benefit platform including Smart Tech scheme, Cycle to Work scheme, and individual benefits allowance for health care cash plan or pension plan Optional social and wellbeing calendar of events We encourage people from underrepresented groups to apply for roles with us.
06/07/2026
Full time
People Systems & AI Specialist - FTC 6 months Department: People Employment Type: Fixed Term Contract Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £45,000 - £55,000 / year Description FTC - 6 months Salary - £45,000 per year pro rata Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our "Powerhouse" goal. This is a dedicated, fixed-term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as possible. You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify "admin-heavy" workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don't just store information, but actively drive better decision making across the business and continue to be systems of engagement. Key Responsibilities HRIS Optimisation & Mastery: Conduct a deep dive audit of our current HRIS capabilities. Lead the cleanup of data structures and ensure we are utilising 100% of the system's potential to drive efficiency. Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g., contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations. AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless, sign on experience for employees. Digital Upskilling: Mentor the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure. Skills, Knowledge & Expertise Systems Expert: Deep experience with multiple HRIS platforms (e.g., HiBob, BambooHR, Workday) and a proven track record of complex implementations. Automation Fluency: "No code/low code" enthusiast with understanding of connecting systems and automating triggers to save hundreds of hours of manual work. AI Practitioner: Experience building custom agents or using LLMs to solve specific operational problems. Data Visualisation: Comprehensive skills in tools like Tableau, PowerBI, or Google Looker Studio, with ability to turn messy data into a clear, strategic story. Project Management Rigour: Able to work in a fixed term role, ruthlessly organised, focusing on minimum viable products (MVPs) and rapid delivery cycles. Translator Ability: Ability to relate complex information and processes to engineering squads and People team specialists, ensuring alignment on the digital roadmap. Job Benefits 30 days holiday plus bank holidays (pro rata) Flexible parental leave options Remote working: part time remote working for all staff Paid counselling and financial/legal advice Flexible benefit platform including Smart Tech scheme, Cycle to Work scheme, and individual benefits allowance for health care cash plan or pension plan Optional social and wellbeing calendar of events We encourage people from underrepresented groups to apply for roles with us.
People Systems & AI Specialist - FTC 6 months Department: People Employment Type: Fixed Term Contract Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £45,000 - £55,000 / year Description FTC - 6 months Salary - £45,000 per year pro rata Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our "Powerhouse" goal. This is a dedicated, fixed-term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as possible. You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify "admin-heavy" workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don't just store information, but actively drive better decision making across the business and continue to be systems of engagement. Key Responsibilities HRIS Optimisation & Mastery: Conduct a deep dive audit of our current HRIS capabilities. Lead the cleanup of data structures and ensure we are utilising 100% of the system's potential to drive efficiency. Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g., contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations. AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless, sign on experience for employees. Digital Upskilling: Mentor the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure. Skills, Knowledge & Expertise Systems Expert: Deep experience with multiple HRIS platforms (e.g., HiBob, BambooHR, Workday) and a proven track record of complex implementations. Automation Fluency: "No code/low code" enthusiast with understanding of connecting systems and automating triggers to save hundreds of hours of manual work. AI Practitioner: Experience building custom agents or using LLMs to solve specific operational problems. Data Visualisation: Comprehensive skills in tools like Tableau, PowerBI, or Google Looker Studio, with ability to turn messy data into a clear, strategic story. Project Management Rigour: Able to work in a fixed term role, ruthlessly organised, focusing on minimum viable products (MVPs) and rapid delivery cycles. Translator Ability: Ability to relate complex information and processes to engineering squads and People team specialists, ensuring alignment on the digital roadmap. Job Benefits 30 days holiday plus bank holidays (pro rata) Flexible parental leave options Remote working: part time remote working for all staff Paid counselling and financial/legal advice Flexible benefit platform including Smart Tech scheme, Cycle to Work scheme, and individual benefits allowance for health care cash plan or pension plan Optional social and wellbeing calendar of events We encourage people from underrepresented groups to apply for roles with us.
06/07/2026
Full time
People Systems & AI Specialist - FTC 6 months Department: People Employment Type: Fixed Term Contract Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £45,000 - £55,000 / year Description FTC - 6 months Salary - £45,000 per year pro rata Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our "Powerhouse" goal. This is a dedicated, fixed-term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as possible. You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify "admin-heavy" workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don't just store information, but actively drive better decision making across the business and continue to be systems of engagement. Key Responsibilities HRIS Optimisation & Mastery: Conduct a deep dive audit of our current HRIS capabilities. Lead the cleanup of data structures and ensure we are utilising 100% of the system's potential to drive efficiency. Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g., contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations. AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless, sign on experience for employees. Digital Upskilling: Mentor the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure. Skills, Knowledge & Expertise Systems Expert: Deep experience with multiple HRIS platforms (e.g., HiBob, BambooHR, Workday) and a proven track record of complex implementations. Automation Fluency: "No code/low code" enthusiast with understanding of connecting systems and automating triggers to save hundreds of hours of manual work. AI Practitioner: Experience building custom agents or using LLMs to solve specific operational problems. Data Visualisation: Comprehensive skills in tools like Tableau, PowerBI, or Google Looker Studio, with ability to turn messy data into a clear, strategic story. Project Management Rigour: Able to work in a fixed term role, ruthlessly organised, focusing on minimum viable products (MVPs) and rapid delivery cycles. Translator Ability: Ability to relate complex information and processes to engineering squads and People team specialists, ensuring alignment on the digital roadmap. Job Benefits 30 days holiday plus bank holidays (pro rata) Flexible parental leave options Remote working: part time remote working for all staff Paid counselling and financial/legal advice Flexible benefit platform including Smart Tech scheme, Cycle to Work scheme, and individual benefits allowance for health care cash plan or pension plan Optional social and wellbeing calendar of events We encourage people from underrepresented groups to apply for roles with us.
People Systems & AI Specialist - FTC 6 months Department: People Employment Type: Fixed Term Contract Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £45,000 - £55,000 / year Description FTC - 6 months Salary - £45,000 per year pro rata Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our "Powerhouse" goal. This is a dedicated, fixed-term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as possible. You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify "admin-heavy" workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don't just store information, but actively drive better decision making across the business and continue to be systems of engagement. Key Responsibilities HRIS Optimisation & Mastery: Conduct a deep dive audit of our current HRIS capabilities. Lead the cleanup of data structures and ensure we are utilising 100% of the system's potential to drive efficiency. Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g., contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations. AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless, sign on experience for employees. Digital Upskilling: Mentor the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure. Skills, Knowledge & Expertise Systems Expert: Deep experience with multiple HRIS platforms (e.g., HiBob, BambooHR, Workday) and a proven track record of complex implementations. Automation Fluency: "No code/low code" enthusiast with understanding of connecting systems and automating triggers to save hundreds of hours of manual work. AI Practitioner: Experience building custom agents or using LLMs to solve specific operational problems. Data Visualisation: Comprehensive skills in tools like Tableau, PowerBI, or Google Looker Studio, with ability to turn messy data into a clear, strategic story. Project Management Rigour: Able to work in a fixed term role, ruthlessly organised, focusing on minimum viable products (MVPs) and rapid delivery cycles. Translator Ability: Ability to relate complex information and processes to engineering squads and People team specialists, ensuring alignment on the digital roadmap. Job Benefits 30 days holiday plus bank holidays (pro rata) Flexible parental leave options Remote working: part time remote working for all staff Paid counselling and financial/legal advice Flexible benefit platform including Smart Tech scheme, Cycle to Work scheme, and individual benefits allowance for health care cash plan or pension plan Optional social and wellbeing calendar of events We encourage people from underrepresented groups to apply for roles with us.
06/07/2026
Full time
People Systems & AI Specialist - FTC 6 months Department: People Employment Type: Fixed Term Contract Location: Any UK Office Hub (Bristol / London / Manchester / Swansea) Compensation: £45,000 - £55,000 / year Description FTC - 6 months Salary - £45,000 per year pro rata Made Tech is a technology company, and our People function should lead by example. As our People Systems & AI Specialist, you are the technical engine behind our "Powerhouse" goal. This is a dedicated, fixed-term role designed to provide the impetus and expertise needed to modernise our tech stack and enable future maintenance to be as self sufficient and require minimal manual input as possible. You will own the optimisation of our core HRIS, but your real impact will be in automation and augmentation. You will identify "admin-heavy" workflows and replace them with elegant, automated solutions and AI driven workflows. You are the bridge between raw people data and strategic insights, ensuring that our systems don't just store information, but actively drive better decision making across the business and continue to be systems of engagement. Key Responsibilities HRIS Optimisation & Mastery: Conduct a deep dive audit of our current HRIS capabilities. Lead the cleanup of data structures and ensure we are utilising 100% of the system's potential to drive efficiency. Workflow Automation Lead: Identify the top 10 most manual/repetitive tasks in the People lifecycle (e.g., contract changes, onboarding triggers, leave approvals) and build automated workflows to handle them using tools like Zapier, Workato, or native system integrations. AI Implementation & Tech Enablement: Lead the practical rollout of AI tools within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless, sign on experience for employees. Digital Upskilling: Mentor the wider People team, building their confidence and capability in using new tools and automation techniques so the transformation continues after your tenure. Skills, Knowledge & Expertise Systems Expert: Deep experience with multiple HRIS platforms (e.g., HiBob, BambooHR, Workday) and a proven track record of complex implementations. Automation Fluency: "No code/low code" enthusiast with understanding of connecting systems and automating triggers to save hundreds of hours of manual work. AI Practitioner: Experience building custom agents or using LLMs to solve specific operational problems. Data Visualisation: Comprehensive skills in tools like Tableau, PowerBI, or Google Looker Studio, with ability to turn messy data into a clear, strategic story. Project Management Rigour: Able to work in a fixed term role, ruthlessly organised, focusing on minimum viable products (MVPs) and rapid delivery cycles. Translator Ability: Ability to relate complex information and processes to engineering squads and People team specialists, ensuring alignment on the digital roadmap. Job Benefits 30 days holiday plus bank holidays (pro rata) Flexible parental leave options Remote working: part time remote working for all staff Paid counselling and financial/legal advice Flexible benefit platform including Smart Tech scheme, Cycle to Work scheme, and individual benefits allowance for health care cash plan or pension plan Optional social and wellbeing calendar of events We encourage people from underrepresented groups to apply for roles with us.
