Parexel is in the business of improving the world's health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values, Patients First, Quality, Respect, Empowerment & Accountability. This role will work within our Scientific Data Technology and AI department which is an innovative team that will build and deploy leading AI-driven solutions to improve workflows common across both Parexel and the life sciences industry. The team partner and support the business in building best-in-class AI-driven solutions when nothing suitable exists. This role will be based in the UK and can be either office or hybrid based in our Sheffield office or fully home based anywhere in the UK. The office is open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Senior AI Solution Developer you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel's business. In this role, you will design, develop, and deploy Applications, ML models and data pipelines within the Foundry ecosystem. You will work collaboratively with Data Engineers, Software Developers, Product Managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production. You will also serve as experts within Parexel, driving education and providing expert guidance on Foundry-based ML solutions across the company. Key Accountabilities ML and Gen AI Technology in Foundry Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end user applications. Design, implement, and document new ML/Gen AI modeling techniques and strategies. Develop ML pipelines and workflows in Foundry to support AI solution development and deployment. Review and adapt recent research in ML and Gen AI into Foundry based prototypes and production solutions. Review code and pipelines of other engineers to enhance ML quality and security within Foundry. Applied ML POCs and Experimentation Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry. Develop custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs. Lead experiment and model evaluation design based on well foundated best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry. Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments. AI based Production Solutions Collaborate with Product to define and implement features to satisfy customer requirements within Foundry. Design and develop high quality AI based production pipelines, workflows and applications in Foundry. Participate in planning and check in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective. AI Expertise, Education, and Advocacy Act as an AI and Foundry advisor across Parexel. Software Engineering Develop front end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir's Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.). Education Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience. Skills Experience in Palantir Foundry, it's ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines. Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry). Strong and proven CS fundamentals including data structures, algorithms, and distributed systems. Strong and proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc. Strong and proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry. Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit learn, TensorFlow). Experience with data modeling and pipeline development in Palantir Foundry. Experience with frontend development for intuitive user experience. Broad skillset with database technologies including relational, non relational and graph. Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail. Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork. Knowledge and Experience A strong interest and passion for Machine Learning and Generative AI and being able to demonstrate this is essential. Advanced and strong experience with the following tools: Foundry (Workshop, Pipeline builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub. Strong experience working in applications with RESTful JSON API endpoints. Advanced experience with Azure and Docker. Experience producing high quality code in a shared context. Up to date with state of the art in Machine Learning (and Gen AI techniques/models). Strong experience owning the delivery of value driven production quality AI solutions and models and experiencing acting as a lead on such projects in a professional engineering context. Experience acting as a lead on AI projects in a professional engineering context, preferably using Foundry. In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return of your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry. Apply today to begin your Parexel journey!
Dec 13, 2025
Full time
Parexel is in the business of improving the world's health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values, Patients First, Quality, Respect, Empowerment & Accountability. This role will work within our Scientific Data Technology and AI department which is an innovative team that will build and deploy leading AI-driven solutions to improve workflows common across both Parexel and the life sciences industry. The team partner and support the business in building best-in-class AI-driven solutions when nothing suitable exists. This role will be based in the UK and can be either office or hybrid based in our Sheffield office or fully home based anywhere in the UK. The office is open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Senior AI Solution Developer you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel's business. In this role, you will design, develop, and deploy Applications, ML models and data pipelines within the Foundry ecosystem. You will work collaboratively with Data Engineers, Software Developers, Product Managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production. You will also serve as experts within Parexel, driving education and providing expert guidance on Foundry-based ML solutions across the company. Key Accountabilities ML and Gen AI Technology in Foundry Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end user applications. Design, implement, and document new ML/Gen AI modeling techniques and strategies. Develop ML pipelines and workflows in Foundry to support AI solution development and deployment. Review and adapt recent research in ML and Gen AI into Foundry based prototypes and production solutions. Review code and pipelines of other engineers to enhance ML quality and security within Foundry. Applied ML POCs and Experimentation Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry. Develop custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs. Lead experiment and model evaluation design based on well foundated best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry. Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments. AI based Production Solutions Collaborate with Product to define and implement features to satisfy customer requirements within Foundry. Design and develop high quality AI based production pipelines, workflows and applications in Foundry. Participate in planning and check in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective. AI Expertise, Education, and Advocacy Act as an AI and Foundry advisor across Parexel. Software Engineering Develop front end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir's Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.). Education Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience. Skills Experience in Palantir Foundry, it's ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines. Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry). Strong and proven CS fundamentals including data structures, algorithms, and distributed systems. Strong and proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc. Strong and proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry. Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit learn, TensorFlow). Experience with data modeling and pipeline development in Palantir Foundry. Experience with frontend development for intuitive user experience. Broad skillset with database technologies including relational, non relational and graph. Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail. Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork. Knowledge and Experience A strong interest and passion for Machine Learning and Generative AI and being able to demonstrate this is essential. Advanced and strong experience with the following tools: Foundry (Workshop, Pipeline builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub. Strong experience working in applications with RESTful JSON API endpoints. Advanced experience with Azure and Docker. Experience producing high quality code in a shared context. Up to date with state of the art in Machine Learning (and Gen AI techniques/models). Strong experience owning the delivery of value driven production quality AI solutions and models and experiencing acting as a lead on such projects in a professional engineering context. Experience acting as a lead on AI projects in a professional engineering context, preferably using Foundry. In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return of your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry. Apply today to begin your Parexel journey!
Overview Parexel is in the business of improving the world's health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values: Patients First, Quality, Respect, Empowerment & Accountability. This role will work within the Scientific Data Technology and AI department, an innovative team that will build and deploy leading AI driven solutions to improve workflows common across Parexel and the life sciences industry. Location This role will be based in the UK and can be either office or hybrid based in our Sheffield office or fully home based anywhere in the UK. Role As the AI Solution Developer II you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel's business. You will design, develop, and deploy applications, ML models and data pipelines within the Foundry ecosystem. You will work collaboratively with Data Engineers, SW Developers, Product Managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production. You will also support as experts within Parexel, supporting education and contributing guidance on Foundry based ML solutions across the company. Key Accountabilities Leverage Palantir Foundry to build and deploy reusable custom machine learning models, ontologies and end user applications. Design, implement, and document new ML/Gen AI modeling techniques and strategies. Develop ML pipelines and workflows in Foundry to support AI solution development and deployment. Review and adapt recent research in ML and Gen AI into Foundry based prototypes and production solutions. Review code and pipelines of other engineers to enhance ML quality and security within Foundry. Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry. Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs. Lead experiment and model evaluation design based on well found practices to ensure safe, effective, and principled AI development practices within Foundry. Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments. Collaborate with Product to define and implement features to satisfy customer requirements within Foundry. Design and develop high quality AI based production pipelines, workflows and applications in Foundry. Participate in planning and check in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective. Act as an AI and Foundry advisor across Parexel. Develop front end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir's Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.) Education Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and Gen AI) or other equivalent qualification/experience. Skills Experience in Palantir Foundry, its ecosystem and components, including building Workshop Apps, building and deploying modelling objectives and managing code repos and pipelines. Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry). Proven CS fundamentals including data structures, algorithms, and distributed systems. Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Rein Learning, etc. Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry. Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit learn, TensorFlow). Experience with data modeling and pipeline development in Palantir Foundry. Experience with frontend development for intuitive user experience. Practical understanding of database technologies including relational, non relational and graph. Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail. Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork. Knowledge and Experience Intermediate experience with the following tools: Foundry (Workshop, Pipeline builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub. Intermediate experience working in applications with RESTful JSON API endpoints. Intermediate experience with Azure and Docker. Experience producing high quality code in a shared context. Up to date with state of the art in Machine Learning (and Gen AI techniques/models). Experience contributing to delivery of value driven production quality AI solutions and models. A strong interest and passion for Machine Learning and Generative AI and demonstration of this is essential. Benefits We will offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return for your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry. Apply Apply today to begin your Parexel journey!
Dec 13, 2025
Full time
Overview Parexel is in the business of improving the world's health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values: Patients First, Quality, Respect, Empowerment & Accountability. This role will work within the Scientific Data Technology and AI department, an innovative team that will build and deploy leading AI driven solutions to improve workflows common across Parexel and the life sciences industry. Location This role will be based in the UK and can be either office or hybrid based in our Sheffield office or fully home based anywhere in the UK. Role As the AI Solution Developer II you will be responsible for leveraging Palantir Foundry to develop and implement production ready machine learning and AI solutions for high impact areas in Parexel's business. You will design, develop, and deploy applications, ML models and data pipelines within the Foundry ecosystem. You will work collaboratively with Data Engineers, SW Developers, Product Managers, and business stakeholders to develop innovative ML solutions and models from research to POC to production. You will also support as experts within Parexel, supporting education and contributing guidance on Foundry based ML solutions across the company. Key Accountabilities Leverage Palantir Foundry to build and deploy reusable custom machine learning models, ontologies and end user applications. Design, implement, and document new ML/Gen AI modeling techniques and strategies. Develop ML pipelines and workflows in Foundry to support AI solution development and deployment. Review and adapt recent research in ML and Gen AI into Foundry based prototypes and production solutions. Review code and pipelines of other engineers to enhance ML quality and security within Foundry. Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry. Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs. Lead experiment and model evaluation design based on well found practices to ensure safe, effective, and principled AI development practices within Foundry. Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments. Collaborate with Product to define and implement features to satisfy customer requirements within Foundry. Design and develop high quality AI based production pipelines, workflows and applications in Foundry. Participate in planning and check in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle within the Foundry ecosystem from an AI perspective. Act as an AI and Foundry advisor across Parexel. Develop front end software and user experiences using the latest application programming frameworks, libraries and languages with focus on using Palantir's Foundry platform (Workshop, Slate, etc.) and external frameworks / libraries (React etc.) Education Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and Gen AI) or other equivalent qualification/experience. Skills Experience in Palantir Foundry, its ecosystem and components, including building Workshop Apps, building and deploying modelling objectives and managing code repos and pipelines. Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry). Proven CS fundamentals including data structures, algorithms, and distributed systems. Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Rein Learning, etc. Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry. Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit learn, TensorFlow). Experience with data modeling and pipeline development in Palantir Foundry. Experience with frontend development for intuitive user experience. Practical understanding of database technologies including relational, non relational and graph. Excellent interpersonal, verbal, and written communication skills and ability to advise and mentor. A flexible attitude with respect to work assignments and new learning. Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail. Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collaborators, and to value the importance of teamwork. Knowledge and Experience Intermediate experience with the following tools: Foundry (Workshop, Pipeline builder, Ontology Manager), JIRA, Confluence, Docker, Git, GitHub. Intermediate experience working in applications with RESTful JSON API endpoints. Intermediate experience with Azure and Docker. Experience producing high quality code in a shared context. Up to date with state of the art in Machine Learning (and Gen AI techniques/models). Experience contributing to delivery of value driven production quality AI solutions and models. A strong interest and passion for Machine Learning and Generative AI and demonstration of this is essential. Benefits We will offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and in return for your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry. Apply Apply today to begin your Parexel journey!
Machine Learning Research Engineer - NLP / LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to click apply for full job details
Dec 13, 2025
Full time
Machine Learning Research Engineer - NLP / LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to click apply for full job details
Overview BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Senior Research Scientist Requisition ID: 121740 Location: Great Baddow - Hybrid working 2 days onsite per week Grade: GG11 Referral Bonus: £5,000 BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical Responsibilities: Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material Lead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities Develop prototypes and proof of concept demonstrators Take ownership of tasks in projects and deliver to challenging standards Work effectively both on self-directed projects and as part of a project team Effectively present results to both technical and non-technical audiences Undertake mentoring of junior staff working on similar research topics Patent and/or publish novel concepts and research findings, where appropriate Essential Knowledge, Skills and Experience: PhD or equivalent industry experience in a relevant discipline Several years of expertise in the application of AI/ML and/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD Experience in software development for proof of concept in Python Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing Acoustic data processing (including sonar) Distributed sensing and processing Autonomy Human machine teaming Space-domain Awareness (SDA) Positioning, navigation, and timing Pattern of life analytics Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.
Dec 12, 2025
Full time
Overview BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Senior Research Scientist Requisition ID: 121740 Location: Great Baddow - Hybrid working 2 days onsite per week Grade: GG11 Referral Bonus: £5,000 BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical Responsibilities: Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material Lead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities Develop prototypes and proof of concept demonstrators Take ownership of tasks in projects and deliver to challenging standards Work effectively both on self-directed projects and as part of a project team Effectively present results to both technical and non-technical audiences Undertake mentoring of junior staff working on similar research topics Patent and/or publish novel concepts and research findings, where appropriate Essential Knowledge, Skills and Experience: PhD or equivalent industry experience in a relevant discipline Several years of expertise in the application of AI/ML and/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD Experience in software development for proof of concept in Python Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing Acoustic data processing (including sonar) Distributed sensing and processing Autonomy Human machine teaming Space-domain Awareness (SDA) Positioning, navigation, and timing Pattern of life analytics Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.
Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists is highly desirable. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. Company WhatJobs Level of experience: Senior (5+ years of experience). Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.
Dec 11, 2025
Full time
Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists is highly desirable. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. Company WhatJobs Level of experience: Senior (5+ years of experience). Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.
Job Title: AI Solution Architect Location: London, United Kingdom (Hybrid - 1 day/week) Job Type: Contract Inside IR35 Client: Mphasis Job Summary We are looking for a technically savvy and business minded solutions architect to deeply partner with our most strategic and high impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will collaborate with a dynamic team of professionals, contribute to cutting edge technologies, and make a significant impact on our company's success. Years of experience needed: 15+ yrs Responsibilities Lead development of and provide hands on technical leadership in the delivery of proofs of concept or proofs of architecture for our customers. Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real world problems. Deeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Forge and manage relationships with our customers' leadership and stakeholders to ensure their application's successful deployment and scale. Contribute to open source developer and enterprise resources. Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high signal feedback to the Product and Research teams. Technical Skills - Must have At least 5 years of experience with knowledge of Transformer (and other deep learning) architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud based AI/ML technologies (AWS, Azure, Google, HuggingFace, OpenAI, Databricks) building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of generative LLMs. Fundamental knowledge of ML, and basic knowledge of AI, NLP, and large language models (LLM). Comfortable working with Python and Jupyter Notebooks. In depth knowledge and familiarity with cloud platforms like AWS, GCP, and Microsoft Azure. Technical Skills - Good to have Expertise in any one framework (TensorFlow, PyTorch, Keras). Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (e.g., computer vision, deep learning, conversational AI, and natural language processing frameworks). Experience with transforms architecture design, specializing LLM (Zero/Few Shot Training) or any POC to create SML. Expertise in optimizing AI solutions for runtime cost. Expertise in conversational system architecture. Extensive knowledge on API's & integrations, patterns. Extensive knowledge of big data technologies. Knowledge on statistical methods. Other Skills We'd Appreciate Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. Education Qualification Graduate in Engineering or master's in computer applications. Process Skills General SDLC processes. Understanding of utilizing Agile and Scrum software development methodologies. Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills Good attitude and quick learner. Well developed design, analytical & problem solving skills. Strong oral and written communication skills. Excellent team player, able to work with virtual teams. Self motivated and capable of working independently with minimal management supervision. Certification Having Machine Learning or AI certifications would be an added advantage.
Dec 10, 2025
Full time
Job Title: AI Solution Architect Location: London, United Kingdom (Hybrid - 1 day/week) Job Type: Contract Inside IR35 Client: Mphasis Job Summary We are looking for a technically savvy and business minded solutions architect to deeply partner with our most strategic and high impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will collaborate with a dynamic team of professionals, contribute to cutting edge technologies, and make a significant impact on our company's success. Years of experience needed: 15+ yrs Responsibilities Lead development of and provide hands on technical leadership in the delivery of proofs of concept or proofs of architecture for our customers. Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real world problems. Deeply embedded with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Forge and manage relationships with our customers' leadership and stakeholders to ensure their application's successful deployment and scale. Contribute to open source developer and enterprise resources. Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high signal feedback to the Product and Research teams. Technical Skills - Must have At least 5 years of experience with knowledge of Transformer (and other deep learning) architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud based AI/ML technologies (AWS, Azure, Google, HuggingFace, OpenAI, Databricks) building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of generative LLMs. Fundamental knowledge of ML, and basic knowledge of AI, NLP, and large language models (LLM). Comfortable working with Python and Jupyter Notebooks. In depth knowledge and familiarity with cloud platforms like AWS, GCP, and Microsoft Azure. Technical Skills - Good to have Expertise in any one framework (TensorFlow, PyTorch, Keras). Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (e.g., computer vision, deep learning, conversational AI, and natural language processing frameworks). Experience with transforms architecture design, specializing LLM (Zero/Few Shot Training) or any POC to create SML. Expertise in optimizing AI solutions for runtime cost. Expertise in conversational system architecture. Extensive knowledge on API's & integrations, patterns. Extensive knowledge of big data technologies. Knowledge on statistical methods. Other Skills We'd Appreciate Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. Education Qualification Graduate in Engineering or master's in computer applications. Process Skills General SDLC processes. Understanding of utilizing Agile and Scrum software development methodologies. Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills Good attitude and quick learner. Well developed design, analytical & problem solving skills. Strong oral and written communication skills. Excellent team player, able to work with virtual teams. Self motivated and capable of working independently with minimal management supervision. Certification Having Machine Learning or AI certifications would be an added advantage.
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Representative Projects Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy. You may be a good fit if you Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have 100% of the skills needed to perform the job Formal certifications or education credentials Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We sponsor visas. However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Dec 09, 2025
Full time
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Representative Projects Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy. You may be a good fit if you Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have 100% of the skills needed to perform the job Formal certifications or education credentials Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We sponsor visas. However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Principal Product Data Scientist I Viator About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. What you will do: As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. What You'll bring to the team: Core Qualifications: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering). Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Current Company Current Title Application Consent Select Tripadvisor collects your personal data for the purposes of managing Tripadvisor's recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes. Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor's behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect . click apply for full job details
Dec 09, 2025
Full time
Principal Product Data Scientist I Viator About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)-making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. What you will do: As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. What You'll bring to the team: Core Qualifications: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering). Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Email Phone Country Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Current Company Current Title Application Consent Select Tripadvisor collects your personal data for the purposes of managing Tripadvisor's recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes. Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor's behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect . click apply for full job details