Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
26/07/2026
Full time
Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You'll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You'll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure. This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team's vision and roadmap, and lead technically complex initiatives and be responsible for their success. Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging. Contribute to group initiatives or peer-level initiatives to improve the data platform. Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models. Cultivate a collaborative data culture that empowers self-serve data and model creation. Requirements A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs. A strong experience using batch orchestration tools like Airflow and DBT. A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring. Technical authoring and architecture design experience. Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts. Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow. Mentor and support junior engineers and partner with data scientists on data engineering projects. Additional Information PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!
About the job We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries. We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production grade moderation pipeline using open source models. This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media processing pipelines, video/audio analysis, OCR, speech to text, embedding generation, vector search, multimodal model integrations, and high throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high performance systems. Responsibilities Backend Architecture & System Ownership Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production ready systems. Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration. Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model serving workflows. Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails. Design high throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content. Build distributed, event driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies. Implement reliable asynchronous processing patterns, including retries, idempotency, dead letter queues, backpressure handling, and fault tolerant job execution. AI/ML Integration & Model Workflows Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows. Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech to text, scene analysis, multimodal inference, batching, caching, and fallback strategies. Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade offs, and safely roll out model upgrades. Model Serving & Performance Optimization Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real time and batch processing paths. Work with model serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization. Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate. Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools. Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search. Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item. Infrastructure, Reliability & Observability Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model serving infrastructure, and monitoring systems. Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident response best practices. Collaboration & Engineering Leadership Collaborate with product, design, data, and ML teams to deliver media rich, AI powered product features. Mentor junior and mid level engineers, support technical planning, review designs, and raise engineering quality across the team. Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices. Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns. Education & Experience Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high throughput backend services. Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations. 3+ years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech to text, scene detection, or multimodal model outputs. Hands on experience creating AI powered processing pipelines for image, video, audio, or text analysis. Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization. Prior experience with vector search, semantic search, media retrieval, or similarity matching systems is strongly preferred. Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows. Technical Skills Strong expertise in Python and/or Node.js with deep understanding of building scalable RESTful APIs and backend architectures. Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow. Strong experience with SQL/NoSQL databases, schema design, and data modeling. Preferred exposure to distributed systems, microservices, asynchronous processing, and event driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub sub systems. Experience deploying production systems on AWS, GCP, or similar cloud platforms. Knowledge of infrastructure patterns (compute, storage, networking, observability). AI/ML Integration Experience orchestrating embedding generation, scene detection, OCR, speech to text, image classification, video analysis, and multimodal model integrations. Experience optimizing inference workflows for latency, throughput, reliability, and cost. Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output length formats, and configuring reasoning related behaviors. Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate. Experience working with model serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred. Experience working with LLM and multi modal evaluation and benchmarking frameworks and domain specific benchmarks with the ability to interpret results and optimize model performance accordingly. System Design & Architecture Preferred understanding of distributed systems, scaling patterns, and performance engineering. Ability to design modular, maintainable, and efficient architectures. Experience with API versioning, modularization, and designing long running workflows. Understanding of performance bottlenecks and low latency backend patterns.
26/07/2026
Full time
About the job We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries. We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production grade moderation pipeline using open source models. This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media processing pipelines, video/audio analysis, OCR, speech to text, embedding generation, vector search, multimodal model integrations, and high throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high performance systems. Responsibilities Backend Architecture & System Ownership Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production ready systems. Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration. Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model serving workflows. Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails. Design high throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content. Build distributed, event driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies. Implement reliable asynchronous processing patterns, including retries, idempotency, dead letter queues, backpressure handling, and fault tolerant job execution. AI/ML Integration & Model Workflows Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows. Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech to text, scene analysis, multimodal inference, batching, caching, and fallback strategies. Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade offs, and safely roll out model upgrades. Model Serving & Performance Optimization Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real time and batch processing paths. Work with model serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization. Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate. Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools. Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search. Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item. Infrastructure, Reliability & Observability Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model serving infrastructure, and monitoring systems. Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident response best practices. Collaboration & Engineering Leadership Collaborate with product, design, data, and ML teams to deliver media rich, AI powered product features. Mentor junior and mid level engineers, support technical planning, review designs, and raise engineering quality across the team. Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices. Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns. Education & Experience Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high throughput backend services. Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations. 3+ years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech to text, scene detection, or multimodal model outputs. Hands on experience creating AI powered processing pipelines for image, video, audio, or text analysis. Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization. Prior experience with vector search, semantic search, media retrieval, or similarity matching systems is strongly preferred. Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows. Technical Skills Strong expertise in Python and/or Node.js with deep understanding of building scalable RESTful APIs and backend architectures. Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow. Strong experience with SQL/NoSQL databases, schema design, and data modeling. Preferred exposure to distributed systems, microservices, asynchronous processing, and event driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub sub systems. Experience deploying production systems on AWS, GCP, or similar cloud platforms. Knowledge of infrastructure patterns (compute, storage, networking, observability). AI/ML Integration Experience orchestrating embedding generation, scene detection, OCR, speech to text, image classification, video analysis, and multimodal model integrations. Experience optimizing inference workflows for latency, throughput, reliability, and cost. Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output length formats, and configuring reasoning related behaviors. Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate. Experience working with model serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred. Experience working with LLM and multi modal evaluation and benchmarking frameworks and domain specific benchmarks with the ability to interpret results and optimize model performance accordingly. System Design & Architecture Preferred understanding of distributed systems, scaling patterns, and performance engineering. Ability to design modular, maintainable, and efficient architectures. Experience with API versioning, modularization, and designing long running workflows. Understanding of performance bottlenecks and low latency backend patterns.
Hiscox Underwriting Group Services Ltd (HUGS) is seeking a Principal Data Scientist to lead complex data science initiatives and transform underwriting capabilities. You will mentor junior data scientists and collaborate with various business functions to maximize value across the insurance value chain. The ideal candidate will have a degree in a quantitative field and substantial experience in data science, particularly in machine learning and statistical modeling. A strong ability to communicate complex findings to diverse audiences is essential, alongside proficiency in Python and SQL.
26/07/2026
Full time
Hiscox Underwriting Group Services Ltd (HUGS) is seeking a Principal Data Scientist to lead complex data science initiatives and transform underwriting capabilities. You will mentor junior data scientists and collaborate with various business functions to maximize value across the insurance value chain. The ideal candidate will have a degree in a quantitative field and substantial experience in data science, particularly in machine learning and statistical modeling. A strong ability to communicate complex findings to diverse audiences is essential, alongside proficiency in Python and SQL.
Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.
26/07/2026
Full time
Build a brilliant future with Hiscox. As a Principal Data Scientist you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will transform underwriting capabilities and extend through the entire insurance value chain, championing a multi-disciplinary approach to complex problem solving. You will lead the end to end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You will mentor and coach junior and mid level colleagues, elevate the overall team capability, and collaborate extensively with other disciplines to maximise business value. Key Responsibilities Utilise industry standards, emerging methodologies and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end to end delivery of our most complex data science initiatives, encompassing strong understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands on technical mentorship and guidance to junior and mid level data scientists, fostering best practices, elevating technical standards and cultivating advanced skill development within the team. Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production grade data science solutions. Background in data science within finance or insurance advantageous but not required. Demonstrated capacity for independent, high quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team. Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery. Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non technical stakeholders to drive data driven decision making and solution adoption. Demonstrable experience collaborating effectively with cross functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning and AI driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry leading AI, data, and analytics techniques, methodologies, and engineering best practices.
Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting edge analytics. This role can be based from either our High Wycombe or London offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibits discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact and we will talk to you about how we can support you.
26/07/2026
Full time
Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients harness data. As a key member of our team, you'll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimize their assets, plan smarter investments, and improve environmental outcomes through cutting edge analytics. This role can be based from either our High Wycombe or London offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering high quality results. Mentoring & Team Leadership - support junior colleagues, ensuring technical excellence and professional development within the team. Shaping the Future of Our Digital Services - influence Stantec's growth by scoping proposals, contributing to technical standards, and winning new projects. About You You'll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you'll be a proactive problem solver, an analytical thinker, and a true innovator-someone who can tell a compelling story with data and inspire change across our clients and projects. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibits discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact and we will talk to you about how we can support you.
Job Type: Permanent Reporting to: RE&ILS Head of Data Location: London Role Overview: The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New) Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions). You will co lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision making across RE&ILS strategic Value Streams. Whilst the chapter grows, you are expected to be hands on actively helping to architect, design, and build AI or Data Science based solutions, using internally trained models, LLMs and/or a combination of both. Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the Group AI Governance Framework and maintains rigorous data governance standards. You will be accountable for this adherence. This is likely to be your first managerial role and the first time you have had one or more direct reports - having previously been a Senior Data Scientist or Machine Learning Engineer yourself. Key Responsibilities Chapter Leadership & Talent Management People Management: Lead, recruit, mentor, coach, train, and retain a high performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Culture & Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members. Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice. Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn - especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value. Solution Delivery & ML Ops Excellence Hands On Architecture: Get hands on to help architect, design, and build complex models that integrate into existing IT solutions to improve data driven decision making throughout the Reinsurance Value Chain. ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models. Strategy, Governance & Innovation Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains. Governance & Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work. Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&D to deliver reliable insights and potential next steps quickly. Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership. Required Experience & Structure Reporting to: RE&ILS Head of Data; dotted line to Group Head of Data Science. Direct line management for Data Scientists and Machine Learning Engineers within the RE&ILS Data Science Chapter. Key Partners: RE&ILS CTO, Group Head of Data Science, RE&ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft). Candidate Profile The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA regulated business, advocating for a data driven approach, and driving innovation while maintaining rigorous AI governance standards. Key Experience Deep Interest in Leadership: Demonstrated mentoring and coaching of junior team members, with evidence of successful business outcomes driven using advanced Data Science/AI. Technical Depth: Extensive hands on experience in architecting, designing, and building complex ML models, with strong cloud services knowledge and AI/ML/LLM ecosystem understanding. ML Ops Maturity: Proven ability to build, maintain, and support production deployed models, establishing effective monitoring, evaluation, and refresh processes. AI and Data Governance: Mature understanding of AI and data governance, data obfuscation & privacy laws, data version control, lineage, and application of AI governance frameworks in a regulated environment. Stakeholder Management: Experience managing collaboration with business unit leaders and external technology partners. Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Technical Proficiency: Exceptional proficiency in Python (and R), SQL capabilities, mastery of machine learning & statistical modelling techniques, including generative AI, LLMs, AI Agents, NLP, CV.
26/07/2026
Full time
Job Type: Permanent Reporting to: RE&ILS Head of Data Location: London Role Overview: The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New) Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions). You will co lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision making across RE&ILS strategic Value Streams. Whilst the chapter grows, you are expected to be hands on actively helping to architect, design, and build AI or Data Science based solutions, using internally trained models, LLMs and/or a combination of both. Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the Group AI Governance Framework and maintains rigorous data governance standards. You will be accountable for this adherence. This is likely to be your first managerial role and the first time you have had one or more direct reports - having previously been a Senior Data Scientist or Machine Learning Engineer yourself. Key Responsibilities Chapter Leadership & Talent Management People Management: Lead, recruit, mentor, coach, train, and retain a high performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Culture & Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members. Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice. Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn - especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value. Solution Delivery & ML Ops Excellence Hands On Architecture: Get hands on to help architect, design, and build complex models that integrate into existing IT solutions to improve data driven decision making throughout the Reinsurance Value Chain. ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models. Strategy, Governance & Innovation Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains. Governance & Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work. Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&D to deliver reliable insights and potential next steps quickly. Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership. Required Experience & Structure Reporting to: RE&ILS Head of Data; dotted line to Group Head of Data Science. Direct line management for Data Scientists and Machine Learning Engineers within the RE&ILS Data Science Chapter. Key Partners: RE&ILS CTO, Group Head of Data Science, RE&ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft). Candidate Profile The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA regulated business, advocating for a data driven approach, and driving innovation while maintaining rigorous AI governance standards. Key Experience Deep Interest in Leadership: Demonstrated mentoring and coaching of junior team members, with evidence of successful business outcomes driven using advanced Data Science/AI. Technical Depth: Extensive hands on experience in architecting, designing, and building complex ML models, with strong cloud services knowledge and AI/ML/LLM ecosystem understanding. ML Ops Maturity: Proven ability to build, maintain, and support production deployed models, establishing effective monitoring, evaluation, and refresh processes. AI and Data Governance: Mature understanding of AI and data governance, data obfuscation & privacy laws, data version control, lineage, and application of AI governance frameworks in a regulated environment. Stakeholder Management: Experience managing collaboration with business unit leaders and external technology partners. Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Technical Proficiency: Exceptional proficiency in Python (and R), SQL capabilities, mastery of machine learning & statistical modelling techniques, including generative AI, LLMs, AI Agents, NLP, CV.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high-performing data and AI products that underpin data-driven decision-making across British Airways. What you'll do: Lead the end-to-end delivery and lifecycle management of data science products and initiatives Scope and frame ill-defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high-quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross-functional Agile squads Contribute to feature prioritisation and road-mapping, balancing speed and long-term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non-technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship-building capability Experience coaching, developing and line-managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
26/07/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Principal Data Scientist You'll be part of our Data & AI Delivery team, acting as a technical leader for the application of data science, machine learning, and AI across the organisation. This team plays a critical role in enabling secure, scalable and high-performing data and AI products that underpin data-driven decision-making across British Airways. What you'll do: Lead the end-to-end delivery and lifecycle management of data science products and initiatives Scope and frame ill-defined business problems and define data science solutions aligned with business goals Manage and coach data science teams delivering predictive models, optimisation engines and decision-support tools Design, build and deploy production-ready data science solutions that integrate with business processes and digital platforms Ensure quality, timely delivery and ongoing value of data science products Acquire, process and analyse large and complex datasets to create high-quality model inputs Translate analytical outputs into clear, actionable business recommendations Provide guidance to stakeholders on how data science solutions improve business outcomes Oversee improvements, maintenance and decommissioning of existing data science products Ensure adherence to published frameworks, best practice, model compliance and ethical standards Monitor industry trends and advancements in data science Work collaboratively within cross-functional Agile squads Contribute to feature prioritisation and road-mapping, balancing speed and long-term value Lead and embed effective agile ways of working, including engineering standards and delivery discipline What you'll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non-technical audiences Confidence challenging constructively and influencing senior stakeholders Strong stakeholder relationship-building capability Experience coaching, developing and line-managing others Ethical and responsible approach to data science and AI Collaborative, empowering and resilient working style Continuous improvement mindset with a strong focus on business impact Your experience: Numerate degree or equivalent with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale-up to millions of wet lab experiments weekly-and massive computational scale-owning and operating one of the most powerful supercomputers in the world-Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Engineer Data Integrity and Traceability. You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus. Working Location & Compensation This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
26/07/2026
Full time
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale-up to millions of wet lab experiments weekly-and massive computational scale-owning and operating one of the most powerful supercomputers in the world-Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Engineer Data Integrity and Traceability. You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You'll Join You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus. Working Location & Compensation This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
26/07/2026
Full time
About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
Position Overview We're looking for a Lead Applied Scientist - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and tiny models ( What you will be doing Define the team's roadmap together with product and engineering leads. Stay up to date on the vision language modelling and efficient ML literature, and translate these insights into product opportunities. Manage a team of 6 Applied Scientists. Contribute to the regular development lifecycle by creating datasets, training and evaluation code. Push the frontier of research in areas such as vision language modelling, document understanding, few shot learning, distillation, quantisation, and active learning. Publish research results in national and international conferences and scientific journals. Qualifications 2+ years of experience leading a team of ML scientists or research engineers. 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer. Strong experience in machine learning and computer vision. Strong record of delivering high performance ML driven products. Deep understanding of machine learning theory. Strong coding skills in Python and PyTorch. Preferred: Technical experience in document understanding, vision language modelling, few shot learning, distillation, quantisation, and active learning. Preferred: Publications at top level machine learning conferences. Preferred: Experience optimizing (distributed) training code. What are we looking for Scientific contributions: evidence of past work, publications, talks, or open source projects that influence the team's direction. Leadership & People Management: passion for growing people and fostering teamwork. Product and business acumen: ability to translate research into product impact and form lasting cross functional relationships. Where you will be London, UK (Hybrid - 3 days in office) EEO Statement Entrust is an EEO/AA/Disabled/Veterans Employer. Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact .
25/07/2026
Full time
Position Overview We're looking for a Lead Applied Scientist - Computer Vision to lead one of our Applied Science teams at Entrust. You will lead a team of 6 applied scientists that trains and evaluates vision-language models for data extraction on one side, and tiny models ( What you will be doing Define the team's roadmap together with product and engineering leads. Stay up to date on the vision language modelling and efficient ML literature, and translate these insights into product opportunities. Manage a team of 6 Applied Scientists. Contribute to the regular development lifecycle by creating datasets, training and evaluation code. Push the frontier of research in areas such as vision language modelling, document understanding, few shot learning, distillation, quantisation, and active learning. Publish research results in national and international conferences and scientific journals. Qualifications 2+ years of experience leading a team of ML scientists or research engineers. 5+ years of industry experience as an individual contributor in a machine learning science team, either as an ML scientist or research engineer. Strong experience in machine learning and computer vision. Strong record of delivering high performance ML driven products. Deep understanding of machine learning theory. Strong coding skills in Python and PyTorch. Preferred: Technical experience in document understanding, vision language modelling, few shot learning, distillation, quantisation, and active learning. Preferred: Publications at top level machine learning conferences. Preferred: Experience optimizing (distributed) training code. What are we looking for Scientific contributions: evidence of past work, publications, talks, or open source projects that influence the team's direction. Leadership & People Management: passion for growing people and fostering teamwork. Product and business acumen: ability to translate research into product impact and form lasting cross functional relationships. Where you will be London, UK (Hybrid - 3 days in office) EEO Statement Entrust is an EEO/AA/Disabled/Veterans Employer. Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact .
Senior ML / MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments, we're in the business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale - you'll feel right at home. As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function - working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live. You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack - Vertex AI, BigQuery, dbt, Airflow, and Terraform - on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation. Essentially, to ensure you succeed in this role you're going to need A track record of putting models into production alongside Data Scientists - classic ML, LLM/GenAI, or both Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments Strong Python and SQL skills Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery - or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication. It will also help you to have Experience with LLM evaluation, observability tooling, or RAG systems in production Experience defining MLOps standards across multiple teams Exposure to cost and latency management for GenAI systems Benefits This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team. Competitive salary plus bonus. Private health cover, life insurance, pension, and enhanced parental leave - with specifics tailored to your location. A generous holiday allowance plus public holidays. Access to a global learning and development programme, wellbeing support, and discounts across partner platforms. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more. Our Diversity and Inclusion Commitment We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at so we can best support you. Kindly submit your application and CV in English to ensure it is successfully reviewed.
25/07/2026
Full time
Senior ML / MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments, we're in the business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale - you'll feel right at home. As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function - working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live. You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack - Vertex AI, BigQuery, dbt, Airflow, and Terraform - on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation. Essentially, to ensure you succeed in this role you're going to need A track record of putting models into production alongside Data Scientists - classic ML, LLM/GenAI, or both Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments Strong Python and SQL skills Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery - or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication. It will also help you to have Experience with LLM evaluation, observability tooling, or RAG systems in production Experience defining MLOps standards across multiple teams Exposure to cost and latency management for GenAI systems Benefits This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team. Competitive salary plus bonus. Private health cover, life insurance, pension, and enhanced parental leave - with specifics tailored to your location. A generous holiday allowance plus public holidays. Access to a global learning and development programme, wellbeing support, and discounts across partner platforms. How AI Helps Us Find Great People Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more. Our Diversity and Inclusion Commitment We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at so we can best support you. Kindly submit your application and CV in English to ensure it is successfully reviewed.
Booksy is seeking a Senior ML / MLOps Engineer to join their Data Science & Applied AI team. The role is fully remote and involves collaborating closely with Data Scientists to transition ML models from prototype to production. Responsibilities include overseeing the ML workflow and ensuring performance within SLAs. Ideal candidates will have strong Python and SQL skills, experience with GCP tools, and a solid understanding of CI/CD processes. This position offers competitive salary, health cover, and a generous holiday allowance.
25/07/2026
Full time
Booksy is seeking a Senior ML / MLOps Engineer to join their Data Science & Applied AI team. The role is fully remote and involves collaborating closely with Data Scientists to transition ML models from prototype to production. Responsibilities include overseeing the ML workflow and ensuring performance within SLAs. Ideal candidates will have strong Python and SQL skills, experience with GCP tools, and a solid understanding of CI/CD processes. This position offers competitive salary, health cover, and a generous holiday allowance.
Stantec Consulting International Ltd. is seeking a Principal Data Scientist to join their digital team in the UK, focusing on innovative solutions for the water sector. The position offers hybrid working from their High Wycombe or London offices. The ideal candidate will excel in Python, data visualisations, and have experience with machine learning and cloud deployment. This role requires leadership in data science projects and collaboration with clients to deliver impactful results.
25/07/2026
Full time
Stantec Consulting International Ltd. is seeking a Principal Data Scientist to join their digital team in the UK, focusing on innovative solutions for the water sector. The position offers hybrid working from their High Wycombe or London offices. The ideal candidate will excel in Python, data visualisations, and have experience with machine learning and cloud deployment. This role requires leadership in data science projects and collaboration with clients to deliver impactful results.
Please note this is for London, UK. You only need to apply to one location if there are multiple listed for the job. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier-solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams. WHAT YOU'LL DO Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL. Partner with product and business leads to define analytics strategy: shaping which initiatives to invest in, what success looks like, and how we'll know. Build the scientific frameworks Ripple reuses at scale: product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. Drive evidence-based evaluation of growth across customers, corridors, and on chain activity, surfacing the causal drivers behind adoption and volume. Define and communicate the metrics leadership runs on: translating complex results into clear narratives for Ripple executives and external stakeholders. Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. Technical leadership across cross-functional teams, influencing roadmaps and strategy at both executive and execution levels. Proven experience designing reusable analytics and measurement frameworks that scale across products. Hands on experience applying AI to accelerate analytics workflows (agentic analysis, AI assisted insight generation, natural language data interfaces). Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large scale data tech (Databricks, Airflow, dBT a plus). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree (MS, PhD) in a quantitative field preferred. Exceptional communication skills - able to turn technical depth into executive ready narratives. WHO WE ARE Do Your Best Work The opportunity to build in a fast paced start up environment with experienced industry leaders. A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi weekly all company meeting - business updates and ask me anything style discussion with our Leadership Team. We come together for moments that matter which include team off sites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity. Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support. Employee giving match. Take Care of Yourself R&R days so you can rest and recharge. Generous wellness reimbursement and weekly onsite & virtual programming. Generous vacation policy - work with your manager to take time off when you need it. Industry leading parental leave policies. Family planning benefits. Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events. Benefits listed above are for full time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
25/07/2026
Full time
Please note this is for London, UK. You only need to apply to one location if there are multiple listed for the job. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier-solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams. WHAT YOU'LL DO Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL. Partner with product and business leads to define analytics strategy: shaping which initiatives to invest in, what success looks like, and how we'll know. Build the scientific frameworks Ripple reuses at scale: product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. Drive evidence-based evaluation of growth across customers, corridors, and on chain activity, surfacing the causal drivers behind adoption and volume. Define and communicate the metrics leadership runs on: translating complex results into clear narratives for Ripple executives and external stakeholders. Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. Technical leadership across cross-functional teams, influencing roadmaps and strategy at both executive and execution levels. Proven experience designing reusable analytics and measurement frameworks that scale across products. Hands on experience applying AI to accelerate analytics workflows (agentic analysis, AI assisted insight generation, natural language data interfaces). Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large scale data tech (Databricks, Airflow, dBT a plus). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree (MS, PhD) in a quantitative field preferred. Exceptional communication skills - able to turn technical depth into executive ready narratives. WHO WE ARE Do Your Best Work The opportunity to build in a fast paced start up environment with experienced industry leaders. A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi weekly all company meeting - business updates and ask me anything style discussion with our Leadership Team. We come together for moments that matter which include team off sites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity. Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support. Employee giving match. Take Care of Yourself R&R days so you can rest and recharge. Generous wellness reimbursement and weekly onsite & virtual programming. Generous vacation policy - work with your manager to take time off when you need it. Industry leading parental leave policies. Family planning benefits. Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events. Benefits listed above are for full time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Ripple seeks a Staff Data Scientist to lead technical projects and define the analytics vision across various products. In this role, you'll employ AI to enhance analytics workflows and collaborate with product leads to set strategies. Ideal candidates will possess strong leadership in data science, with 8+ years of experience and an advanced degree in a quantitative field. Benefits for full-time employees include competitive salaries, bonuses, wellness programs, and generous vacation policies.
25/07/2026
Full time
Ripple seeks a Staff Data Scientist to lead technical projects and define the analytics vision across various products. In this role, you'll employ AI to enhance analytics workflows and collaborate with product leads to set strategies. Ideal candidates will possess strong leadership in data science, with 8+ years of experience and an advanced degree in a quantitative field. Benefits for full-time employees include competitive salaries, bonuses, wellness programs, and generous vacation policies.
Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As a Vice President, Data Scientist in the Data Science team, you will help us shape the future of financial services by developing and implementing advanced AI solutions. You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value. In this role, you will have the opportunity to experiment, learn, and innovate alongside a diverse team, leveraging your expertise in data science and finance. Together, we will deliver solutions that transform how we operate and serve our clients. Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment. Job Responsibilities Demonstrate proficiency in the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives. Design and implement multi-agent systems, including orchestration layers that coordinate specialized agents, manage task routing, and integrate human-in-the-loop (HITL) controls. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance through ongoing performance monitoring. Define and implement evaluation frameworks for AI/agentic systems, including prompt quality, agent performance, and business outcome metrics. Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency. Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption. Communicate analytical findings and recommendations to senior leadership. Required Qualifications, Capabilities, and Skills Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e.g. LangGraph, ADK), agent design patterns, and production-grade system integration. Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred.
25/07/2026
Full time
Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As a Vice President, Data Scientist in the Data Science team, you will help us shape the future of financial services by developing and implementing advanced AI solutions. You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value. In this role, you will have the opportunity to experiment, learn, and innovate alongside a diverse team, leveraging your expertise in data science and finance. Together, we will deliver solutions that transform how we operate and serve our clients. Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment. Job Responsibilities Demonstrate proficiency in the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives. Design and implement multi-agent systems, including orchestration layers that coordinate specialized agents, manage task routing, and integrate human-in-the-loop (HITL) controls. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance through ongoing performance monitoring. Define and implement evaluation frameworks for AI/agentic systems, including prompt quality, agent performance, and business outcome metrics. Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency. Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption. Communicate analytical findings and recommendations to senior leadership. Required Qualifications, Capabilities, and Skills Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e.g. LangGraph, ADK), agent design patterns, and production-grade system integration. Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred.
JPMorgan Chase & Co. is seeking a Vice President, Data Scientist in Bournemouth. This role focuses on developing advanced AI solutions that drive business value, collaborating closely with various teams including product and engineering. The candidate will implement scalable tools and work on multi-agent systems, ensuring compliance with business objectives. A strong background in data science and proven experience in deploying AI models are crucial for success in this dynamic and inclusive environment.
25/07/2026
Full time
JPMorgan Chase & Co. is seeking a Vice President, Data Scientist in Bournemouth. This role focuses on developing advanced AI solutions that drive business value, collaborating closely with various teams including product and engineering. The candidate will implement scalable tools and work on multi-agent systems, ensuring compliance with business objectives. A strong background in data science and proven experience in deploying AI models are crucial for success in this dynamic and inclusive environment.
Who We AreWe are DAC-a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint-from global audiences to individual store locations.The Web Analyst supports the strategy, design, implementation, and ongoing optimization of digital measurement solutions across websites and marketing programs. This role blends web analytics implementation with cross-channel reporting and analysis, helping ensure that data is collected accurately, structured appropriately, and translated into clear business insights.The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources. This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions.This role works closely with web developers, data engineers, lead analysts, data scientists, and account teams to support analytics implementation, reporting, and performance analysis.Key Objectives of the RoleSupport web analytics strategy, measurement planning, and implementation across websites and campaignsTranslate business and stakeholder needs into tracking requirements, tagging plans, and reporting outputsEnsure data is collected accurately through proper tagging, implementation QA, and ongoing validationBuild and maintain reporting and visualizations across website, media, and first-party data sourcesUse AI-enabled tools to improve reporting workflows, streamline analysis, and surface insights more efficientlyInvestigate trends and performance changes across digital touchpoints and provide actionable recommendationsCollaborate with technical, media partners and analytics teams to maintain data integrity and improve reporting foundationsPosition AccountabilitiesLead and support Web Analytics engagements in partnership with account service, analytics, and technical teamsOwn the web analytics lifecycle across assigned projects, including measurement design, implementation support, QA, reporting, analysis, and recommendationsGather business requirements and translate them into tracking frameworks, measurement plans, and data collection specificationsSupport tagging and implementation activities for websites and campaigns, including variables, events, conversions, and other measurement requirementsPartner with developers and technical teams during implementation to ensure analytics requirements are correctly deployedPerform implementation QA and troubleshooting to validate tagging, data capture, and reporting accuracyMonitor data quality and identify issues related to tracking, tagging, discrepancies, or broken measurement logicDevelop recurring and ad hoc reporting that integrates website, media, and first-party data into clear and actionable views of performanceBuild dashboards, visualizations, and presentations that communicate performance trends, issues, and opportunities to stakeholdersAnalyze digital performance across websites and campaigns, identifying underperforming areas and opportunities to improve conversion, engagement, and efficiencyInvestigate business questions by connecting behavioral, campaign, and customer data to identify likely drivers of performance changesWork with Data Engineers to understand data architecture, source systems, data flows, and structures that support reporting and analysisCollaborate with Lead Analysts and Data Scientists on more advanced analysis, data interpretation, and insight developmentParticipate in client and internal presentations, helping explain findings, technical considerations, and strategic recommendationsContribute to the growth and evolution of the agency's analytics, implementation, and reporting capabilitiesPreferred RequirementsRelevant bachelor's degree or equivalent industry experience2-4 years of experience in web analytics, digital analytics, or marketing analyticsExperience with web analytics implementation, including tracking design, tagging requirements, QA, and troubleshootingFamiliarity with tag management systems and analytics platforms such as Google Tag Manager, Adobe Launch, Google Analytics, Adobe Analytics, or similar toolsStrong understanding of digital measurement frameworks, events, conversions, campaign tracking, and website performance metricsWorking knowledge of digital media channels, including paid search, paid social, and SEO, with an understanding of how campaigns are optimized and how media performance influences website behavior, traffic quality, and conversionExperience building reports and dashboards using website, media, and first-party dataFamiliarity with data visualization tools such as Power BI, Tableau, Looker Studio, or similar platformsUnderstanding of data architecture, data structures, and how raw source data translates into reporting outputsExperience using AI-enabled tools to support reporting, visualization, analysis, or workflow efficiencyStrong Excel and PowerPoint skillsStrong written, verbal, and presentation skillsAbility to communicate technical concepts and data insights clearly to both technical and non-technical stakeholdersComfortable working cross-functionally with developers, data engineers, analysts, and data scientistsStrong attention to detail, curiosity, and problem-solving abilityWhat you will getProfessional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.Competitive Benefits:Competitive salary and comprehensive health benefits.Generous PTO, wellness initiatives and parental leave.Opportunities for continued learning and professional development.A supportive, collaborative, and casual work environment.How We WorkThis role requires three days in-office. Remote work is not available for this position.This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability. If you require an accommodation in any aspect of the selection process, please reach out to
25/07/2026
Full time
Who We AreWe are DAC-a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint-from global audiences to individual store locations.The Web Analyst supports the strategy, design, implementation, and ongoing optimization of digital measurement solutions across websites and marketing programs. This role blends web analytics implementation with cross-channel reporting and analysis, helping ensure that data is collected accurately, structured appropriately, and translated into clear business insights.The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources. This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions.This role works closely with web developers, data engineers, lead analysts, data scientists, and account teams to support analytics implementation, reporting, and performance analysis.Key Objectives of the RoleSupport web analytics strategy, measurement planning, and implementation across websites and campaignsTranslate business and stakeholder needs into tracking requirements, tagging plans, and reporting outputsEnsure data is collected accurately through proper tagging, implementation QA, and ongoing validationBuild and maintain reporting and visualizations across website, media, and first-party data sourcesUse AI-enabled tools to improve reporting workflows, streamline analysis, and surface insights more efficientlyInvestigate trends and performance changes across digital touchpoints and provide actionable recommendationsCollaborate with technical, media partners and analytics teams to maintain data integrity and improve reporting foundationsPosition AccountabilitiesLead and support Web Analytics engagements in partnership with account service, analytics, and technical teamsOwn the web analytics lifecycle across assigned projects, including measurement design, implementation support, QA, reporting, analysis, and recommendationsGather business requirements and translate them into tracking frameworks, measurement plans, and data collection specificationsSupport tagging and implementation activities for websites and campaigns, including variables, events, conversions, and other measurement requirementsPartner with developers and technical teams during implementation to ensure analytics requirements are correctly deployedPerform implementation QA and troubleshooting to validate tagging, data capture, and reporting accuracyMonitor data quality and identify issues related to tracking, tagging, discrepancies, or broken measurement logicDevelop recurring and ad hoc reporting that integrates website, media, and first-party data into clear and actionable views of performanceBuild dashboards, visualizations, and presentations that communicate performance trends, issues, and opportunities to stakeholdersAnalyze digital performance across websites and campaigns, identifying underperforming areas and opportunities to improve conversion, engagement, and efficiencyInvestigate business questions by connecting behavioral, campaign, and customer data to identify likely drivers of performance changesWork with Data Engineers to understand data architecture, source systems, data flows, and structures that support reporting and analysisCollaborate with Lead Analysts and Data Scientists on more advanced analysis, data interpretation, and insight developmentParticipate in client and internal presentations, helping explain findings, technical considerations, and strategic recommendationsContribute to the growth and evolution of the agency's analytics, implementation, and reporting capabilitiesPreferred RequirementsRelevant bachelor's degree or equivalent industry experience2-4 years of experience in web analytics, digital analytics, or marketing analyticsExperience with web analytics implementation, including tracking design, tagging requirements, QA, and troubleshootingFamiliarity with tag management systems and analytics platforms such as Google Tag Manager, Adobe Launch, Google Analytics, Adobe Analytics, or similar toolsStrong understanding of digital measurement frameworks, events, conversions, campaign tracking, and website performance metricsWorking knowledge of digital media channels, including paid search, paid social, and SEO, with an understanding of how campaigns are optimized and how media performance influences website behavior, traffic quality, and conversionExperience building reports and dashboards using website, media, and first-party dataFamiliarity with data visualization tools such as Power BI, Tableau, Looker Studio, or similar platformsUnderstanding of data architecture, data structures, and how raw source data translates into reporting outputsExperience using AI-enabled tools to support reporting, visualization, analysis, or workflow efficiencyStrong Excel and PowerPoint skillsStrong written, verbal, and presentation skillsAbility to communicate technical concepts and data insights clearly to both technical and non-technical stakeholdersComfortable working cross-functionally with developers, data engineers, analysts, and data scientistsStrong attention to detail, curiosity, and problem-solving abilityWhat you will getProfessional Growth: Work with top-tier clients and cutting-edge tools in the performance marketing industry.Collaborative Culture: Be part of a global organization that values curiosity, transparency, and innovation.Competitive Benefits:Competitive salary and comprehensive health benefits.Generous PTO, wellness initiatives and parental leave.Opportunities for continued learning and professional development.A supportive, collaborative, and casual work environment.How We WorkThis role requires three days in-office. Remote work is not available for this position.This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment or group. DAC is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability. If you require an accommodation in any aspect of the selection process, please reach out to
UK Centre for Ecology and Hydrology
Wallingford, Oxfordshire
Overview Salary: £50,447 - £53,535 + excellent benefits Contract type: Permanent Hybrid working 50/50 Working pattern: Full-time (37 hrs per week) or part-time (0.8FTE, 4x days per week) Location: Wallingford, Lancaster, Bangor or Edinburgh Closing date: Sunday 2 August 2026. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early. About UKCEH UKCEH is a leading independent research institute with over 600 scientists studying how the natural world works. We take a connected approach across land, water and air to understand environmental systems and build resilience for people and the planet. About This Role At UKCEH, trusted, high-quality data underpins both our environmental research and the way we operate as an organisation. As our project portfolio grows, so does the need for consistent, well-governed and accessible insight that supports confident, evidence-based decision-making. We are seeking an experienced and inquisitive Business Intelligence (BI) Manager to provide leadership and oversight of our organisational reporting, ensuring data can be transformed into trusted, decision-ready insights. This is a new and impactful role, focused on strengthening how we manage and use data beyond scientific systems, particularly across project and financial reporting. Within this role, you will have the autonomy to shape and evolve a more connected and reliable data environment, with the freedom to create, establish, maintain and continuously improve how organisational data is structured and used. You will lead the development of a centralised data environment, bringing together project, financial, people and other operational data into a single, trusted source, improving visibility of organisational performance and supporting more effective planning and decision-making. Working within an evolving Microsoft-based data ecosystem, you will reduce reliance on manual processes while bringing clarity and consistency to reporting. Your work will help colleagues plan effectively, manage risk and make informed decisions, while laying the foundations for future innovation, including automation and AI-enabled analytics, supporting outcomes that benefit both people and the planet. Responsibilities Leading and shaping UKCEH's business intelligence and reporting strategy, defining how data is governed, trusted and used Establishing authoritative data sources, shared definitions and key metrics to create a consistent organisational data foundation Overseeing the Power BI platform, ensuring high standards of data quality, security and appropriate access control Defining and maintaining the BI operating model, including standards, governance and best practice for reporting Designing and developing trusted datasets, semantic models and dashboards that support organisational decision-making Transforming reporting by reducing reliance on manual processes, duplicated spreadsheets and high-risk workarounds Partnering with senior stakeholders within Finance, People, Workplace, IT and system owners to prioritise reporting needs and deliver measurable business value Building organisational capability through training, guidance and best practice, while acting as a trusted advisor to senior stakeholders Reporting into the Business Systems Manager, you will partner with senior leaders and system/process owners to shape how data is understood and used across the organisation, translating complex information into clear, actionable insight You will work closely with colleagues across Finance, Project Accounting, People, IT and other Professional Services Teams, acting as UKCEH's specialist in business intelligence and reporting within a collaborative professional services environment In this role, you will drive the development of UKCEH's BI capability - designing data models, architecture and governance frameworks that bring together information from multiple systems into trusted reporting datasets Through tools such as Power BI, you will enable greater visibility of project performance, financial oversight and operational delivery, while building confidence and capability in data across teams Your work will play a key role in advancing UKCEH's data maturity, establishing scalable foundations that support continuous improvement and future innovation What we're looking for Significant experience in business intelligence, analytics or management information Strong understanding of data modelling, reporting best practice and dashboard design Experience establishing standards, governance and quality controls for data and reporting Experience designing or building data warehouses or data lakes Proficiency in data extraction, storage and maintenance and integrating data from multiple systems for reporting Excellent stakeholder management skills with the ability to influence senior leaders and Board members Ability to communicate complex data concepts clearly to non-technical audiences A proactive, analytical approach with excellent attention to detail Demonstrates initiative and creativity, generating innovative ideas to enhance reporting, performance management, data governance and operational efficiency What will help you stand out Experience with Power BI and Microsoft data platforms Experience working in a federated or matrix organisational environment, working closely with a variety of teams and datasets reporting teams Background in project-based or research-focused organisations Knowledge of Azure, Fabric or similar technologies Experience improving processes through automation Exposure to advanced analytics or AI-enabled tools Exposure to AI-enabled analytics, automation and advanced reporting tools (desirable) How to apply and what happens next If you're interested in this role, we'd love to hear from you. You'll be directed to our Workday portal where you'll create an account and upload your CV and your responses to the questions below (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully: A separate cover letter is not required Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable) and impact Limit your responses to a maximum of 150 words per question Questions: Q1. Tell us about a time you designed or implemented a data warehouse or reporting solution. What approach did you take and what was the outcome? Q2. How have you ensured data quality and governance in a previous role? Q3. What tools and techniques have you used to integrate data from multiple systems? Q4. If appointed, what would your priorities be during your first six months to create a trusted, organisation-wide BI function? Working at UKCEH You'll be joining a leading independent, not-for-profit research institute, where your work will have real impact. Our science helps people and the environment to prosper and informs decisions that benefit society as a whole. We're proud to be custodians of over 60 years of environmental data, and just as proud of the people behind it. You'll be supported to develop your career, grow your skills and thrive in a collaborative, purpose-driven environment. What we offer At UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you'll benefit from: Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure 10% employer pension contribution Financial protection through life assurance and income protection Enhanced family-friendly policies Flexible and hybrid working options (depending on your role) Lifestyle perks including dental, gym, retail and cycling discounts A commitment to wellbeing, supported by a range of internal initiatives Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services Peer recognition and rewards that celebrate your contribution Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes Interest-free annual travel season ticket loans (terms apply) Our commitment to inclusion At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we're happy to support you with any adjustments you may need throughout the recruitment process. Our approach to AI and applications We understand that candidates may use AI tools to support their application. We encourage you to ensure your submission reflects your own experience, skills and suitability for the role. Every application that meets the essential criteria will be reviewed by our recruitment panel. A note on sponsorship Unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process. Additional information Here you can explore the kind of roles we recruit for, search our latest vacancies . click apply for full job details
25/07/2026
Full time
Overview Salary: £50,447 - £53,535 + excellent benefits Contract type: Permanent Hybrid working 50/50 Working pattern: Full-time (37 hrs per week) or part-time (0.8FTE, 4x days per week) Location: Wallingford, Lancaster, Bangor or Edinburgh Closing date: Sunday 2 August 2026. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early. About UKCEH UKCEH is a leading independent research institute with over 600 scientists studying how the natural world works. We take a connected approach across land, water and air to understand environmental systems and build resilience for people and the planet. About This Role At UKCEH, trusted, high-quality data underpins both our environmental research and the way we operate as an organisation. As our project portfolio grows, so does the need for consistent, well-governed and accessible insight that supports confident, evidence-based decision-making. We are seeking an experienced and inquisitive Business Intelligence (BI) Manager to provide leadership and oversight of our organisational reporting, ensuring data can be transformed into trusted, decision-ready insights. This is a new and impactful role, focused on strengthening how we manage and use data beyond scientific systems, particularly across project and financial reporting. Within this role, you will have the autonomy to shape and evolve a more connected and reliable data environment, with the freedom to create, establish, maintain and continuously improve how organisational data is structured and used. You will lead the development of a centralised data environment, bringing together project, financial, people and other operational data into a single, trusted source, improving visibility of organisational performance and supporting more effective planning and decision-making. Working within an evolving Microsoft-based data ecosystem, you will reduce reliance on manual processes while bringing clarity and consistency to reporting. Your work will help colleagues plan effectively, manage risk and make informed decisions, while laying the foundations for future innovation, including automation and AI-enabled analytics, supporting outcomes that benefit both people and the planet. Responsibilities Leading and shaping UKCEH's business intelligence and reporting strategy, defining how data is governed, trusted and used Establishing authoritative data sources, shared definitions and key metrics to create a consistent organisational data foundation Overseeing the Power BI platform, ensuring high standards of data quality, security and appropriate access control Defining and maintaining the BI operating model, including standards, governance and best practice for reporting Designing and developing trusted datasets, semantic models and dashboards that support organisational decision-making Transforming reporting by reducing reliance on manual processes, duplicated spreadsheets and high-risk workarounds Partnering with senior stakeholders within Finance, People, Workplace, IT and system owners to prioritise reporting needs and deliver measurable business value Building organisational capability through training, guidance and best practice, while acting as a trusted advisor to senior stakeholders Reporting into the Business Systems Manager, you will partner with senior leaders and system/process owners to shape how data is understood and used across the organisation, translating complex information into clear, actionable insight You will work closely with colleagues across Finance, Project Accounting, People, IT and other Professional Services Teams, acting as UKCEH's specialist in business intelligence and reporting within a collaborative professional services environment In this role, you will drive the development of UKCEH's BI capability - designing data models, architecture and governance frameworks that bring together information from multiple systems into trusted reporting datasets Through tools such as Power BI, you will enable greater visibility of project performance, financial oversight and operational delivery, while building confidence and capability in data across teams Your work will play a key role in advancing UKCEH's data maturity, establishing scalable foundations that support continuous improvement and future innovation What we're looking for Significant experience in business intelligence, analytics or management information Strong understanding of data modelling, reporting best practice and dashboard design Experience establishing standards, governance and quality controls for data and reporting Experience designing or building data warehouses or data lakes Proficiency in data extraction, storage and maintenance and integrating data from multiple systems for reporting Excellent stakeholder management skills with the ability to influence senior leaders and Board members Ability to communicate complex data concepts clearly to non-technical audiences A proactive, analytical approach with excellent attention to detail Demonstrates initiative and creativity, generating innovative ideas to enhance reporting, performance management, data governance and operational efficiency What will help you stand out Experience with Power BI and Microsoft data platforms Experience working in a federated or matrix organisational environment, working closely with a variety of teams and datasets reporting teams Background in project-based or research-focused organisations Knowledge of Azure, Fabric or similar technologies Experience improving processes through automation Exposure to advanced analytics or AI-enabled tools Exposure to AI-enabled analytics, automation and advanced reporting tools (desirable) How to apply and what happens next If you're interested in this role, we'd love to hear from you. You'll be directed to our Workday portal where you'll create an account and upload your CV and your responses to the questions below (approx. 8 mins). Your responses are an important part of our assessment process, so please take the time to complete them thoughtfully: A separate cover letter is not required Use clear, concise examples that demonstrate your personal contribution, relevant skills, qualifications (if applicable) and impact Limit your responses to a maximum of 150 words per question Questions: Q1. Tell us about a time you designed or implemented a data warehouse or reporting solution. What approach did you take and what was the outcome? Q2. How have you ensured data quality and governance in a previous role? Q3. What tools and techniques have you used to integrate data from multiple systems? Q4. If appointed, what would your priorities be during your first six months to create a trusted, organisation-wide BI function? Working at UKCEH You'll be joining a leading independent, not-for-profit research institute, where your work will have real impact. Our science helps people and the environment to prosper and informs decisions that benefit society as a whole. We're proud to be custodians of over 60 years of environmental data, and just as proud of the people behind it. You'll be supported to develop your career, grow your skills and thrive in a collaborative, purpose-driven environment. What we offer At UKCEH, we recognise your dedication and provide a comprehensive benefits package designed to support you both at work and at home. When you join us, you'll benefit from: Generous annual leave - 27 days (rising to 29 days after 5 years) +3 for Christmas closure 10% employer pension contribution Financial protection through life assurance and income protection Enhanced family-friendly policies Flexible and hybrid working options (depending on your role) Lifestyle perks including dental, gym, retail and cycling discounts A commitment to wellbeing, supported by a range of internal initiatives Employee Assistance Programme and health benefits, including 24/7 support with remote GP access, mental health, physiotherapy and lifestyle services Peer recognition and rewards that celebrate your contribution Salary sacrifice agreement benefits including Electric & Plug-in Hybrid vehicle and Cycle2Work schemes Interest-free annual travel season ticket loans (terms apply) Our commitment to inclusion At UKCEH, we believe everyone should feel welcome and able to be themselves at work. We warmly encourage applications from people of all backgrounds, experiences and identities. As a Disability Confident employer, we're happy to support you with any adjustments you may need throughout the recruitment process. Our approach to AI and applications We understand that candidates may use AI tools to support their application. We encourage you to ensure your submission reflects your own experience, skills and suitability for the role. Every application that meets the essential criteria will be reviewed by our recruitment panel. A note on sponsorship Unfortunately, we are unable to offer visa sponsorship for this role and this does not qualify for endorsement to support a Global Talent Visa application. If you are considering pursuing self-sponsorship, please indicate this in your application so we can take it into account during the recruitment process. Additional information Here you can explore the kind of roles we recruit for, search our latest vacancies . click apply for full job details
A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet and Science Diet . Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food. Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods. We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life. A career at Hill's Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. No Relocation Assistance Offered Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Position Details Location: United Kingdom Reporting to: Director, eCommerce Hill's EMEA Salary range per annum: £53,100 - £59,000 "At Hill's we have a purpose to transform the lives of millions of pet families through pioneering innovation, science-led nutrition, and the best and brightest people. If you're interested in work that matters, fueled by passion for pets, we invite you to apply. Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hill's mission is to help enrich and lengthen the special relationships between people and their pets. Our decades of science and research guide us in creating nutrition that's a step ahead so pets and pet parents can enjoy every day together. As the US Veterinarian recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health." Position Summary The purpose of this role is to own and execute the Digital Shelf strategy across Europe for a major pureplay online retailer. You will hold direct responsibility for Content, Search Placement, and Ratings & Reviews, while holding indirect responsibility for on-shelf availability by collaborating with the wider commercial team to drive core metrics. You will lead the Pan-European test-and-learn strategy for content, continuously optimizing pages to maximize traffic and conversion rates. Working in close partnership with the Retail Media manager, you will ensure the delivery of high-converting landing pages for all media activations. Furthermore, you will partner with brand and content teams to guarantee a best-in-class shopper experience. This role requires robust analytical capabilities; you will measure page performance, content completeness, and overall digital shelf health against corporate targets. You must be highly proficient in eCommerce strategies, understanding exactly how to optimize a retailer's website across Brand Stores, Product Detail Pages (PDPs), taxonomy, and site search. Success in this role requires leveraging enterprise Digital Shelf Management platforms to translate data metrics into actionable commercial strategies. Responsibilities Content: responsible for loading and ensuring compliance of Product Detail Page (PDP) content while managing A/B testing and continuous optimisation of retailer content. Serve as the internal expert on premium content requirements, guiding brand and content teams through activation processes. Strategy & Tools: set the broader EMEA Digital Shelf Strategy and manage the regional relationship with the enterprise Digital Shelf tool provider. Collaborate with Global Digital teams to activate strategies across EMEA and support local country teams on digital shelf fundamentals. Search Placement: measure and improve organic placement and share of page in line with targets while owning the keyword strategy to ensure all content is fully optimised. Use digital shelf strategies to optimise for the retailer's search algorithm to drive visibility and conversion. Ratings & Reviews: own the overarching strategy for the retailer to ensure strict brand metric compliance while managing the full lifecycle of ratings and reviews. Track consumer sentiment and deliver actionable insights to the brand teams. Skills and Competencies Digital Shelf Expertise: proven experience setting and activating a Pan-EU Digital Shelf strategy with a major pureplay retailer. Analytical Rigor: demonstrated ability to interpret complex digital shelf data and translate insights into actions that improve KPIs. Commercial Acumen: deep understanding of how Retail Media, Digital Shelf, and eCommerce commercial functions interconnect to drive brand growth and execution. Agility: ability to remain flexible in a rapidly evolving marketing landscape and prioritise workloads effectively under pressure. Communication: excellent stakeholder management skills, capable of influencing. Technical Proficiency: hands on experience with advanced content measurement and management tools is highly preferred. Required Qualifications Degree in Business, Marketing, Digital Commerce or related field 5+ years experience in eCommerce, Digital Marketing or related field Experience working with Digital Shelf tools and large data sets to create continuous improvement and drive growth Experience in optimizing retailer algorithm across Digital Shelf KPI's Excellent oral and written communication skills. Fluency in English (written and oral). Preferred Qualifications Pet Nutrition or related industry experience. Knowledge of market places, 1P & 3P selling Strong experience using AI-powered tools. Digital Marketing experience Working proficiency in a second core European language (e.g., French, German, Spanish, or Italian) Master's degree in Business, Marketing, Digital or a similar field. Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
25/07/2026
Full time
A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet and Science Diet . Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food. Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods. We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life. A career at Hill's Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. No Relocation Assistance Offered Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Position Details Location: United Kingdom Reporting to: Director, eCommerce Hill's EMEA Salary range per annum: £53,100 - £59,000 "At Hill's we have a purpose to transform the lives of millions of pet families through pioneering innovation, science-led nutrition, and the best and brightest people. If you're interested in work that matters, fueled by passion for pets, we invite you to apply. Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hill's mission is to help enrich and lengthen the special relationships between people and their pets. Our decades of science and research guide us in creating nutrition that's a step ahead so pets and pet parents can enjoy every day together. As the US Veterinarian recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health." Position Summary The purpose of this role is to own and execute the Digital Shelf strategy across Europe for a major pureplay online retailer. You will hold direct responsibility for Content, Search Placement, and Ratings & Reviews, while holding indirect responsibility for on-shelf availability by collaborating with the wider commercial team to drive core metrics. You will lead the Pan-European test-and-learn strategy for content, continuously optimizing pages to maximize traffic and conversion rates. Working in close partnership with the Retail Media manager, you will ensure the delivery of high-converting landing pages for all media activations. Furthermore, you will partner with brand and content teams to guarantee a best-in-class shopper experience. This role requires robust analytical capabilities; you will measure page performance, content completeness, and overall digital shelf health against corporate targets. You must be highly proficient in eCommerce strategies, understanding exactly how to optimize a retailer's website across Brand Stores, Product Detail Pages (PDPs), taxonomy, and site search. Success in this role requires leveraging enterprise Digital Shelf Management platforms to translate data metrics into actionable commercial strategies. Responsibilities Content: responsible for loading and ensuring compliance of Product Detail Page (PDP) content while managing A/B testing and continuous optimisation of retailer content. Serve as the internal expert on premium content requirements, guiding brand and content teams through activation processes. Strategy & Tools: set the broader EMEA Digital Shelf Strategy and manage the regional relationship with the enterprise Digital Shelf tool provider. Collaborate with Global Digital teams to activate strategies across EMEA and support local country teams on digital shelf fundamentals. Search Placement: measure and improve organic placement and share of page in line with targets while owning the keyword strategy to ensure all content is fully optimised. Use digital shelf strategies to optimise for the retailer's search algorithm to drive visibility and conversion. Ratings & Reviews: own the overarching strategy for the retailer to ensure strict brand metric compliance while managing the full lifecycle of ratings and reviews. Track consumer sentiment and deliver actionable insights to the brand teams. Skills and Competencies Digital Shelf Expertise: proven experience setting and activating a Pan-EU Digital Shelf strategy with a major pureplay retailer. Analytical Rigor: demonstrated ability to interpret complex digital shelf data and translate insights into actions that improve KPIs. Commercial Acumen: deep understanding of how Retail Media, Digital Shelf, and eCommerce commercial functions interconnect to drive brand growth and execution. Agility: ability to remain flexible in a rapidly evolving marketing landscape and prioritise workloads effectively under pressure. Communication: excellent stakeholder management skills, capable of influencing. Technical Proficiency: hands on experience with advanced content measurement and management tools is highly preferred. Required Qualifications Degree in Business, Marketing, Digital Commerce or related field 5+ years experience in eCommerce, Digital Marketing or related field Experience working with Digital Shelf tools and large data sets to create continuous improvement and drive growth Experience in optimizing retailer algorithm across Digital Shelf KPI's Excellent oral and written communication skills. Fluency in English (written and oral). Preferred Qualifications Pet Nutrition or related industry experience. Knowledge of market places, 1P & 3P selling Strong experience using AI-powered tools. Digital Marketing experience Working proficiency in a second core European language (e.g., French, German, Spanish, or Italian) Master's degree in Business, Marketing, Digital or a similar field. Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
