ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 04, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Senior Data Scientist Pay up to £75,493, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work-life balance. Are you ready to use data science to influence and inspire improvements at huge scale? As a Senior Data Scientist, you'll join the Data Science Team within DWP's Working Age Services (WAS) - the area responsible for the digital services behind Universal Cre click apply for full job details
Apr 04, 2026
Full time
Senior Data Scientist Pay up to £75,493, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work-life balance. Are you ready to use data science to influence and inspire improvements at huge scale? As a Senior Data Scientist, you'll join the Data Science Team within DWP's Working Age Services (WAS) - the area responsible for the digital services behind Universal Cre click apply for full job details
What is the Role: This role is positioned within the Risk Analytics Team as a Senior Quantitative Risk Analyst. In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Risk Analytics is part of the Risk Function, an independent, second line of defence function that monitors, controls, and supports risk taking activities across AIB. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB's risk profile. The Risk Function's main objective is to ensure AIB has a robust risk management framework and culture in place to ensure risks are taken within the risk appetite set by the Board, in support of AIB's customer franchise and social responsibility. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive models that are focussed on core business elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members. Digital protection: Access / utilise bank data within the policies and frameworks required by AIB. What you Will Bring: Minimum 3 years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.) Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g., R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau. Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with regulatory or audit bodies; Strong ability to build relationships and communicate with key stakeholders, Curiosity, and inventiveness. Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front. What We Offer We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements. Some of our benefits include; Variable Pay Employee Assistance Programme Family leave options As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below. Please note that the capabilities will only be asked at interview stage. Ensures Accountability Develops & Empowers Data Analysis If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Nicole Pasquetti, for a conversation.
Apr 04, 2026
Full time
What is the Role: This role is positioned within the Risk Analytics Team as a Senior Quantitative Risk Analyst. In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Risk Analytics is part of the Risk Function, an independent, second line of defence function that monitors, controls, and supports risk taking activities across AIB. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB's risk profile. The Risk Function's main objective is to ensure AIB has a robust risk management framework and culture in place to ensure risks are taken within the risk appetite set by the Board, in support of AIB's customer franchise and social responsibility. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive models that are focussed on core business elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members. Digital protection: Access / utilise bank data within the policies and frameworks required by AIB. What you Will Bring: Minimum 3 years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.) Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g., R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau. Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with regulatory or audit bodies; Strong ability to build relationships and communicate with key stakeholders, Curiosity, and inventiveness. Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front. What We Offer We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements. Some of our benefits include; Variable Pay Employee Assistance Programme Family leave options As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below. Please note that the capabilities will only be asked at interview stage. Ensures Accountability Develops & Empowers Data Analysis If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Nicole Pasquetti, for a conversation.
What is the Role: This role is positioned within the Risk Analytics Team as a Senior Quantitative Risk Analyst. In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Risk Analytics is part of the Risk Function, an independent, second line of defence function that monitors, controls, and supports risk taking activities across AIB. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB's risk profile. The Risk Function's main objective is to ensure AIB has a robust risk management framework and culture in place to ensure risks are taken within the risk appetite set by the Board, in support of AIB's customer franchise and social responsibility. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive models that are focussed on core business elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members. Digital protection: Access / utilise bank data within the policies and frameworks required by AIB. What you Will Bring: Minimum 3 years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.) Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g., R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau. Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with regulatory or audit bodies; Strong ability to build relationships and communicate with key stakeholders, Curiosity, and inventiveness. Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front. What We Offer We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements. Some of our benefits include; Variable Pay Employee Assistance Programme Family leave options As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below. Please note that the capabilities will only be asked at interview stage. Ensures Accountability Develops & Empowers Data Analysis If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Nicole Pasquetti, for a conversation.
Apr 04, 2026
Full time
What is the Role: This role is positioned within the Risk Analytics Team as a Senior Quantitative Risk Analyst. In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Risk Analytics is part of the Risk Function, an independent, second line of defence function that monitors, controls, and supports risk taking activities across AIB. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB's risk profile. The Risk Function's main objective is to ensure AIB has a robust risk management framework and culture in place to ensure risks are taken within the risk appetite set by the Board, in support of AIB's customer franchise and social responsibility. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive models that are focussed on core business elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members. Digital protection: Access / utilise bank data within the policies and frameworks required by AIB. What you Will Bring: Minimum 3 years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.) Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g., R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau. Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with regulatory or audit bodies; Strong ability to build relationships and communicate with key stakeholders, Curiosity, and inventiveness. Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front. What We Offer We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements. Some of our benefits include; Variable Pay Employee Assistance Programme Family leave options As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below. Please note that the capabilities will only be asked at interview stage. Ensures Accountability Develops & Empowers Data Analysis If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Nicole Pasquetti, for a conversation.
Purpose of Onyx The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions. Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines . click apply for full job details
Apr 04, 2026
Full time
Purpose of Onyx The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions. Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines . click apply for full job details
Job Description Summary Do you have a passion for all things software with a desire to make your impact in biotechnology? STEMCELL is hiring a Senior Customer Success Consultant for our STEMSOFT SOFTWARE team! As the Senior Customer Success Consultant you will bring advanced expertise in STEMSOFT product applications within complex regulatory environments. In this job, you will play a pivotal role in strategizing long-term solutions that integrate seamlessly with client workflows, enhancing both user satisfaction and regulatory compliance. You will support organizational growth by actively contributing to revenue generation through strategic client engagements and optimized system configurations. Please note, given our global reach, this position may require flexible working hours to support our international customers. Job Description Duties and Responsibilities Engages deeply with customers to analyze and contextualize their technical and regulatory challenges, providing detailed documentation and strategic advice Leads discussions on best practices and advanced application techniques in client settings, ensuring solutions are both practical and compliant Monitors industry trends in clinical, regulatory, and accreditation processes to guide clients through potential future challenges Articulates strategic solutions that align STEMSOFT capabilities with client needs, focusing on long term usability and compliance Develops and refines best practices for the application of STEMSOFT products, influencing both product development and client processes Knowledge and Qualifications Bachelor's degree or higher in a related field, and 6 to 10 years of experience in clinical cell therapy is an asset Expert understanding of accreditation and regulations related to cell therapy and related medical products of human origin including, but not limited to, FACT, JACIE, FDA, HTA, HealthCanada and EMA Advanced communication skills, with the ability to influence and discuss technical details with various stakeholders effectively Strong leadership in project management and customer consultations Expertise in regulatory compliance and its application to software solutions alongside high proficiency in problem solving, critical thinking, and troubleshooting Ability to educate clients in training and commendable practices STEMCELL Technologies is a privately owned, Vancouver-based biotechnology company that helps power leading edge life science research around the world. Driven by our love of science and passion for quality, we are a company of Scientists Helping Scientists-standing by our customers to provide the outstanding products, technical support, and training they need to advance their research. Scientists performing stem cell, immunology, cancer, regenerative medicine, and cellular therapy research are among those who rely on our cell culture media, cell separation products, instruments, accessory products, and services. Through our many regional offices, as well as our distribution centers in Vancouver, Seattle, Grenoble, and Singapore, we deliver our innovative, specialized products to more than 100 countries. With over 1,800 employees globally, most with scientific or engineering degrees, STEMCELL is proud to be the largest biotechnology employer in Canada. This is an opportunity to work with highly motivated colleagues in a science oriented, creative, and dynamic environment. We offer a competitive salary, excellent benefits, and meaningful career development opportunities. STEMCELL is well recognized for exceptional leadership and business practices. We are one of Canada's Best Managed Companies and operate an ISO 14001 certified environmental management system to measure and reduce our environmental impact. As an equal opportunity employer, STEMCELL is dedicated to ensuring that every employee feels safe, valued, and respected for who they are. We know that scientific progress and innovation occur when diverse, creative minds come together and we are committed to nurturing a culture of inclusivity and belonging. STEMCELL enforces a zero tolerance policy for any form of discrimination. Selection decisions are solely based on job related factors. The annual salary for this job ranges from: £43,900.00 - £65,900.00. STEMCELL determines an individual's pay within the range based on multiple factors including experience, education, job related skills, and equity within the team or organization. For jobs that are eligible for sales incentives, the range noted above is inclusive of target incentives; actual incentives are based on individual performance results in accordance with company policy. In addition to base salary, STEMCELL offers a comprehensive total rewards package that may include health benefits, retirement savings, and more (depending on region). To apply, please select the "Apply" button below. You will then be directed to a login screen asking you to set up an account, which is required to apply.
Apr 04, 2026
Full time
Job Description Summary Do you have a passion for all things software with a desire to make your impact in biotechnology? STEMCELL is hiring a Senior Customer Success Consultant for our STEMSOFT SOFTWARE team! As the Senior Customer Success Consultant you will bring advanced expertise in STEMSOFT product applications within complex regulatory environments. In this job, you will play a pivotal role in strategizing long-term solutions that integrate seamlessly with client workflows, enhancing both user satisfaction and regulatory compliance. You will support organizational growth by actively contributing to revenue generation through strategic client engagements and optimized system configurations. Please note, given our global reach, this position may require flexible working hours to support our international customers. Job Description Duties and Responsibilities Engages deeply with customers to analyze and contextualize their technical and regulatory challenges, providing detailed documentation and strategic advice Leads discussions on best practices and advanced application techniques in client settings, ensuring solutions are both practical and compliant Monitors industry trends in clinical, regulatory, and accreditation processes to guide clients through potential future challenges Articulates strategic solutions that align STEMSOFT capabilities with client needs, focusing on long term usability and compliance Develops and refines best practices for the application of STEMSOFT products, influencing both product development and client processes Knowledge and Qualifications Bachelor's degree or higher in a related field, and 6 to 10 years of experience in clinical cell therapy is an asset Expert understanding of accreditation and regulations related to cell therapy and related medical products of human origin including, but not limited to, FACT, JACIE, FDA, HTA, HealthCanada and EMA Advanced communication skills, with the ability to influence and discuss technical details with various stakeholders effectively Strong leadership in project management and customer consultations Expertise in regulatory compliance and its application to software solutions alongside high proficiency in problem solving, critical thinking, and troubleshooting Ability to educate clients in training and commendable practices STEMCELL Technologies is a privately owned, Vancouver-based biotechnology company that helps power leading edge life science research around the world. Driven by our love of science and passion for quality, we are a company of Scientists Helping Scientists-standing by our customers to provide the outstanding products, technical support, and training they need to advance their research. Scientists performing stem cell, immunology, cancer, regenerative medicine, and cellular therapy research are among those who rely on our cell culture media, cell separation products, instruments, accessory products, and services. Through our many regional offices, as well as our distribution centers in Vancouver, Seattle, Grenoble, and Singapore, we deliver our innovative, specialized products to more than 100 countries. With over 1,800 employees globally, most with scientific or engineering degrees, STEMCELL is proud to be the largest biotechnology employer in Canada. This is an opportunity to work with highly motivated colleagues in a science oriented, creative, and dynamic environment. We offer a competitive salary, excellent benefits, and meaningful career development opportunities. STEMCELL is well recognized for exceptional leadership and business practices. We are one of Canada's Best Managed Companies and operate an ISO 14001 certified environmental management system to measure and reduce our environmental impact. As an equal opportunity employer, STEMCELL is dedicated to ensuring that every employee feels safe, valued, and respected for who they are. We know that scientific progress and innovation occur when diverse, creative minds come together and we are committed to nurturing a culture of inclusivity and belonging. STEMCELL enforces a zero tolerance policy for any form of discrimination. Selection decisions are solely based on job related factors. The annual salary for this job ranges from: £43,900.00 - £65,900.00. STEMCELL determines an individual's pay within the range based on multiple factors including experience, education, job related skills, and equity within the team or organization. For jobs that are eligible for sales incentives, the range noted above is inclusive of target incentives; actual incentives are based on individual performance results in accordance with company policy. In addition to base salary, STEMCELL offers a comprehensive total rewards package that may include health benefits, retirement savings, and more (depending on region). To apply, please select the "Apply" button below. You will then be directed to a login screen asking you to set up an account, which is required to apply.
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in; Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONISIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus 28 days annual leave, plus bank holidays and volunteering days Life Insurance Wellness programs and support Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period:5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time
Apr 03, 2026
Full time
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in; Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONISIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus 28 days annual leave, plus bank holidays and volunteering days Life Insurance Wellness programs and support Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period:5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time
A dynamic data-driven company in the UK is seeking a Senior Data Scientist to design and implement customer-facing ML/AI features. This role involves using SQL and Python to analyze data, prototyping ideas, and collaborating with teams to transform raw data into product features. The ideal candidate should have over 5 years of experience in data science and a strong product-oriented mindset. You'll work in a remote-first environment, having real ownership over the product's development and impact.
Apr 03, 2026
Full time
A dynamic data-driven company in the UK is seeking a Senior Data Scientist to design and implement customer-facing ML/AI features. This role involves using SQL and Python to analyze data, prototyping ideas, and collaborating with teams to transform raw data into product features. The ideal candidate should have over 5 years of experience in data science and a strong product-oriented mindset. You'll work in a remote-first environment, having real ownership over the product's development and impact.
What we do At GoodFit, we help our customers unlock their next stages of growth with highly actionable & relevant data. Without spending thousands of hours on manual research, B2B companies use GoodFit's data engine to identify their next opportunities, understand their customers & generate demand. Our platform takes data from hundreds of sources across the internet and combines it into a real-time, constantly updated view of each opportunity our clients monitor. We process large volumes of data to do this and utilise best-in-class data technologies to deliver this at scale, robustly and efficiently. We have a strong market opportunity and are working with many of the highest-growth B2B companies. To continue accelerating product development and expanding our AI capabilities, we are growing our Data team. About the role As a Senior Data Scientist at GoodFit, you'll be responsible for designing, prototyping, and shipping customer-facing ML/AI features that create measurable product value. You'll operate at the intersection of experimentation and production - partnering closely with Product, Design, and Engineering to explore new ML capabilities, validate them quickly, and help turn them into scalable product features. We're looking for someone who is comfortable navigating ambiguity, framing problems independently, and moving from raw data to shipped product features. Your ability to combine strong modeling fundamentals with product thinking will be key to our success. You will Design and develop ML models (e.g., classification, ranking, scoring) that power customer-facing features Use SQL and Python (pandas, scikit-learn) to analyse product data and identify opportunities Rapidly prototype new AI/ML-driven product ideas in collaboration with Product and Design Define hypotheses, evaluate model performance, and iterate quickly Collaborate with Engineering to productionise validated models Improve automation, personalisation, and predictive capabilities within the product Ensure models are measurable, interpretable, and aligned with user value Assess and validate internal and external data sources used in ML features Evaluate signal quality, bias, completeness, and reliability Define metrics and checks to ensure data is fit for customer-facing use Move from ambiguous problem prototype shipped feature with strong ownership We'd love to hear from you if you have 5+ years of professional experience in data science or applied ML Strong SQL skills and confidence working directly with product data Strong Python experience for modelling (pandas, scikit-learn) Solid understanding of statistics and model evaluation techniques Experience shipping ML-powered features in production A product-oriented mindset and comfort working cross-functionally Strong communication skills and the ability to explain complex concepts clearly Experience working in a startup environment or high-growth company Bonus Experience shipping ML features in a B2B SaaS product Experience with LLM-based systems Experience with recommendation or ranking systems Why you'll love working at GoodFit We are an early-stage startup with a strong growth trajectory. The work you do will have a direct & recognisable impact on our product and customers. We're a remote-first team, valuing long stretches of uninterrupted work over constant connectivity. We have an office near Old Street for those who prefer a hybrid working pattern. The entire team gets together for occasional planning and team meetings (max once per month). As a small team, you'll work across multiple parts of the product and gain exposure to a wide range of technologies. You'll have real ownership - from idea to shipped feature to happy customers - and the opportunity to work directly with experienced founders and product leaders. Hiring process Initial call Main technical interview Two project discussions (including experimentation and product improvement) Final stage interview with Product Manager + team member Inclusion at GoodFit Ltd GoodFit Ltd. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process - please don't hesitate to let us know how we can help. Research shows that some candidates, particularly women and people from underrepresented groups, may hesitate to apply if they don't meet every listed qualification. If this role excites you, we encourage you to apply even if your experience doesn't align perfectly.
Apr 03, 2026
Full time
What we do At GoodFit, we help our customers unlock their next stages of growth with highly actionable & relevant data. Without spending thousands of hours on manual research, B2B companies use GoodFit's data engine to identify their next opportunities, understand their customers & generate demand. Our platform takes data from hundreds of sources across the internet and combines it into a real-time, constantly updated view of each opportunity our clients monitor. We process large volumes of data to do this and utilise best-in-class data technologies to deliver this at scale, robustly and efficiently. We have a strong market opportunity and are working with many of the highest-growth B2B companies. To continue accelerating product development and expanding our AI capabilities, we are growing our Data team. About the role As a Senior Data Scientist at GoodFit, you'll be responsible for designing, prototyping, and shipping customer-facing ML/AI features that create measurable product value. You'll operate at the intersection of experimentation and production - partnering closely with Product, Design, and Engineering to explore new ML capabilities, validate them quickly, and help turn them into scalable product features. We're looking for someone who is comfortable navigating ambiguity, framing problems independently, and moving from raw data to shipped product features. Your ability to combine strong modeling fundamentals with product thinking will be key to our success. You will Design and develop ML models (e.g., classification, ranking, scoring) that power customer-facing features Use SQL and Python (pandas, scikit-learn) to analyse product data and identify opportunities Rapidly prototype new AI/ML-driven product ideas in collaboration with Product and Design Define hypotheses, evaluate model performance, and iterate quickly Collaborate with Engineering to productionise validated models Improve automation, personalisation, and predictive capabilities within the product Ensure models are measurable, interpretable, and aligned with user value Assess and validate internal and external data sources used in ML features Evaluate signal quality, bias, completeness, and reliability Define metrics and checks to ensure data is fit for customer-facing use Move from ambiguous problem prototype shipped feature with strong ownership We'd love to hear from you if you have 5+ years of professional experience in data science or applied ML Strong SQL skills and confidence working directly with product data Strong Python experience for modelling (pandas, scikit-learn) Solid understanding of statistics and model evaluation techniques Experience shipping ML-powered features in production A product-oriented mindset and comfort working cross-functionally Strong communication skills and the ability to explain complex concepts clearly Experience working in a startup environment or high-growth company Bonus Experience shipping ML features in a B2B SaaS product Experience with LLM-based systems Experience with recommendation or ranking systems Why you'll love working at GoodFit We are an early-stage startup with a strong growth trajectory. The work you do will have a direct & recognisable impact on our product and customers. We're a remote-first team, valuing long stretches of uninterrupted work over constant connectivity. We have an office near Old Street for those who prefer a hybrid working pattern. The entire team gets together for occasional planning and team meetings (max once per month). As a small team, you'll work across multiple parts of the product and gain exposure to a wide range of technologies. You'll have real ownership - from idea to shipped feature to happy customers - and the opportunity to work directly with experienced founders and product leaders. Hiring process Initial call Main technical interview Two project discussions (including experimentation and product improvement) Final stage interview with Product Manager + team member Inclusion at GoodFit Ltd GoodFit Ltd. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process - please don't hesitate to let us know how we can help. Research shows that some candidates, particularly women and people from underrepresented groups, may hesitate to apply if they don't meet every listed qualification. If this role excites you, we encourage you to apply even if your experience doesn't align perfectly.
Overview Frontend Engineering Manager / Arch Manager ( GenAI experience ) Location: London Do you want to help leading organisations launch world class human-centric products that re-imagine experiences with digital, data, AI and technology at their core? Then come and join our Accenture Song team. Our team accelerates growth and value for our clients through sustained customer relevance. We are a bold and generous team of creatives, designers, technologists, strategists and engineers working together to make possibilities a reality. We are purpose-built to help businesses serve the modern customer and their ever-evolving needs. As part of our team, you will help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate, and deliver value provides an unparalleled opportunity to grow and advance. You will learn and grow within an innovative culture that thrives on shared success, diverse and innovative ways of thinking that enables boundary-less opportunities that can drive your career in new & exciting ways. This is a fast-paced and client-centric focused environment. We have a constant focus on our people development and a collaborative and mutually encouraging culture. As part of our team, you will be working with cutting-edge design systems and digital platforms, and you will have the opportunity to develop a wide range of new skills on the job. If this sounds like you, we would love to hear from you! As a team: Are you ready to take your career to the next level? At Accenture, you'll be working alongside innovative colleagues on exciting projects that drive collaboration from strategy through to implementation. You'll have access to the latest technologies and work directly with clients to help them achieve their goals. But it's not just about the work - it's about the culture. Our organisation thrives on shared success and diverse ways of thinking, enabling opportunities that can propel your career in new and exciting ways. With a focus on learning, growth, and advancement, you'll be part of an innovative culture that encourages you to push boundaries and think outside the box. We're especially looking for individuals who are experts in front-end engineering for mobile or web platforms, with deep experience in modern frameworks and performance optimization. You'll bring hands-on experience with generative AI technologies and understand how to apply them to enhance product experiences. Consulting experience is also key - you'll be comfortable engaging with clients, shaping solutions, and driving strategic outcomes. If you're looking for a challenging and rewarding career in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll have the chance to develop a wide range of new skills on the job and work with cutting-edge technologies. So why wait? Join us and take your career to new heights. Responsibilities and qualifications As a frontend engineering manager, you will: Support growth within our customer technology product engineering practice Advise clients on how to build product and platform engineering capabilities and teams Build strong client relationships focused on customer, digital and platforms Lead engineering across large digital & agile transformation programmes Collaborate with Product Managers, Designers, Data Scientists and Engineers to deliver compelling user-facing products and solutions Propel the use of Generative AI within our work and products Provide input to technology & engineering thought leadership to our clients and teams Maximise team performance through mentorship, skills learning and career development Contribute to developing offerings, assets, capabilities, and attend events Job Qualifications We are looking for experience in the following: Experience leading front end engineering teams/squads Experience of building with modern frontend technologies on web and/or mobile (e.g. React/iOS/Android/React Native) Use of Generative AI within your workflows and/or products you are creating Experience with integrating cloud services directly into complex solutions(GraphQL/Restful APIs) Previous experience in software engineering senior roles (e.g. Engineering Lead, Team Lead) Extensive experience in agile environments for digital product creation Broad experience in modern engineering practices including: Systems Architecture Front End Engineering Platform & SRE Engineering Quality Engineering CI/CD Comfortable in articulating trends in technology and engineering practices Experience improving speed and quality outcomes using modern engineering practices Set yourself apart: Presented your work at an event or conference Experience developing short & long-term plans for a teams growth and transformation Track record at engaging with senior leadership as a trusted advisor Created proven scalable solutions, especially with AI Academic Requirements: Bachelor's Degree or equivalent with MBA or Masters preferred Does this appeal to you? If so, we wish to hear from you. Please advise if you have any requirements, so we can investigate into arranging reasonable adjustments to the recruitment process. You can contact us at What's in it for you: At Accenture, in addition to a competitive base salary, you will also have an extensive benefits package which includes pension, private health insurance, discounted gym membership, emergency caring facilities, and 3 days' leave per year for charitable work of your choice! Flexible working arrangements can be discussed depending on the position. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. We offer Strategy and Consulting, Interactive, Technology and Operations services - all powered by the world's largest network of Advanced Technology and Intelligent Operations centres. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders,partners and communities. Visit us at Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. Join Accenture to work at the heart of change. Visit us at
Apr 03, 2026
Full time
Overview Frontend Engineering Manager / Arch Manager ( GenAI experience ) Location: London Do you want to help leading organisations launch world class human-centric products that re-imagine experiences with digital, data, AI and technology at their core? Then come and join our Accenture Song team. Our team accelerates growth and value for our clients through sustained customer relevance. We are a bold and generous team of creatives, designers, technologists, strategists and engineers working together to make possibilities a reality. We are purpose-built to help businesses serve the modern customer and their ever-evolving needs. As part of our team, you will help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate, and deliver value provides an unparalleled opportunity to grow and advance. You will learn and grow within an innovative culture that thrives on shared success, diverse and innovative ways of thinking that enables boundary-less opportunities that can drive your career in new & exciting ways. This is a fast-paced and client-centric focused environment. We have a constant focus on our people development and a collaborative and mutually encouraging culture. As part of our team, you will be working with cutting-edge design systems and digital platforms, and you will have the opportunity to develop a wide range of new skills on the job. If this sounds like you, we would love to hear from you! As a team: Are you ready to take your career to the next level? At Accenture, you'll be working alongside innovative colleagues on exciting projects that drive collaboration from strategy through to implementation. You'll have access to the latest technologies and work directly with clients to help them achieve their goals. But it's not just about the work - it's about the culture. Our organisation thrives on shared success and diverse ways of thinking, enabling opportunities that can propel your career in new and exciting ways. With a focus on learning, growth, and advancement, you'll be part of an innovative culture that encourages you to push boundaries and think outside the box. We're especially looking for individuals who are experts in front-end engineering for mobile or web platforms, with deep experience in modern frameworks and performance optimization. You'll bring hands-on experience with generative AI technologies and understand how to apply them to enhance product experiences. Consulting experience is also key - you'll be comfortable engaging with clients, shaping solutions, and driving strategic outcomes. If you're looking for a challenging and rewarding career in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll have the chance to develop a wide range of new skills on the job and work with cutting-edge technologies. So why wait? Join us and take your career to new heights. Responsibilities and qualifications As a frontend engineering manager, you will: Support growth within our customer technology product engineering practice Advise clients on how to build product and platform engineering capabilities and teams Build strong client relationships focused on customer, digital and platforms Lead engineering across large digital & agile transformation programmes Collaborate with Product Managers, Designers, Data Scientists and Engineers to deliver compelling user-facing products and solutions Propel the use of Generative AI within our work and products Provide input to technology & engineering thought leadership to our clients and teams Maximise team performance through mentorship, skills learning and career development Contribute to developing offerings, assets, capabilities, and attend events Job Qualifications We are looking for experience in the following: Experience leading front end engineering teams/squads Experience of building with modern frontend technologies on web and/or mobile (e.g. React/iOS/Android/React Native) Use of Generative AI within your workflows and/or products you are creating Experience with integrating cloud services directly into complex solutions(GraphQL/Restful APIs) Previous experience in software engineering senior roles (e.g. Engineering Lead, Team Lead) Extensive experience in agile environments for digital product creation Broad experience in modern engineering practices including: Systems Architecture Front End Engineering Platform & SRE Engineering Quality Engineering CI/CD Comfortable in articulating trends in technology and engineering practices Experience improving speed and quality outcomes using modern engineering practices Set yourself apart: Presented your work at an event or conference Experience developing short & long-term plans for a teams growth and transformation Track record at engaging with senior leadership as a trusted advisor Created proven scalable solutions, especially with AI Academic Requirements: Bachelor's Degree or equivalent with MBA or Masters preferred Does this appeal to you? If so, we wish to hear from you. Please advise if you have any requirements, so we can investigate into arranging reasonable adjustments to the recruitment process. You can contact us at What's in it for you: At Accenture, in addition to a competitive base salary, you will also have an extensive benefits package which includes pension, private health insurance, discounted gym membership, emergency caring facilities, and 3 days' leave per year for charitable work of your choice! Flexible working arrangements can be discussed depending on the position. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. We offer Strategy and Consulting, Interactive, Technology and Operations services - all powered by the world's largest network of Advanced Technology and Intelligent Operations centres. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders,partners and communities. Visit us at Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. Join Accenture to work at the heart of change. Visit us at
A leading insurance firm is seeking a Senior Data Scientist in London to tackle complex challenges and contribute to data-driven decision-making. This role involves developing predictive models, collaborating with technical teams, and communicating analytical solutions to stakeholders. The ideal candidate will have a strong background in data science, proficiency in tools like Python and SQL, and excellent communication skills. Enjoy a hybrid work model and benefits that promote wellbeing in a unique company culture.
Apr 03, 2026
Full time
A leading insurance firm is seeking a Senior Data Scientist in London to tackle complex challenges and contribute to data-driven decision-making. This role involves developing predictive models, collaborating with technical teams, and communicating analytical solutions to stakeholders. The ideal candidate will have a strong background in data science, proficiency in tools like Python and SQL, and excellent communication skills. Enjoy a hybrid work model and benefits that promote wellbeing in a unique company culture.
Senior Data Scientist page is loaded Senior Data Scientistremote type: Hybridlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Position: Senior Data Scientist Reporting to: Lead Data Scientist Location: London Type: PermanentAs a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You'll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.You'll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox's data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.You'll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution. This achievement reflects the team's commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.As a Data Scientist, you'll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis. Key Responsibilities: Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business. Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation. Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques. Person Specification: Degree in a STEM or closely related field or equivalent experience. A further degree is a plus. Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value. Experience of data science in finance or insurance is an advantage but not required. Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task. Familiarity with version control, agile working and other IT delivery tools is required Skills : Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience. Experience with analytical tools / programming languages and databases (for example: Python, R, SQL). Experience with large language models and prompting, GCP experience is a plus. Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning. A particular interest in natural language processing or machine vision. A strong grasp of foundational statistics is essential. Experience working both in small teams and independently on analytics projects. Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders. Willingness to learn best practice in software development. Knowledge of insurance is an advantage but not essential. Apply now for further information Work with amazing people and be part of a unique culture If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.
Apr 03, 2026
Full time
Senior Data Scientist page is loaded Senior Data Scientistremote type: Hybridlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Position: Senior Data Scientist Reporting to: Lead Data Scientist Location: London Type: PermanentAs a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You'll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.You'll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox's data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.You'll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution. This achievement reflects the team's commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.As a Data Scientist, you'll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis. Key Responsibilities: Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business. Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation. Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques. Person Specification: Degree in a STEM or closely related field or equivalent experience. A further degree is a plus. Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value. Experience of data science in finance or insurance is an advantage but not required. Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task. Familiarity with version control, agile working and other IT delivery tools is required Skills : Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience. Experience with analytical tools / programming languages and databases (for example: Python, R, SQL). Experience with large language models and prompting, GCP experience is a plus. Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning. A particular interest in natural language processing or machine vision. A strong grasp of foundational statistics is essential. Experience working both in small teams and independently on analytics projects. Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders. Willingness to learn best practice in software development. Knowledge of insurance is an advantage but not essential. Apply now for further information Work with amazing people and be part of a unique culture If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. What You'll Do From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team What You'll Bring Extensive experience in an analytical role, ideally within a product-led or digitally native environment Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential Hands-on experience with BI tools such as Lightdash, Looker, or Tableau A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real Comfort working across teams and managing multiple priorities without losing rigour Genuine curiosity about user behaviour and a drive to understand the why behind the data An openness to integrating AI tools into your workflow and a mindset for continuous improvement Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid working and flexible hours EV charging and free parking onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)
Apr 03, 2026
Full time
Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most. What You'll Do From hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisions Work shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chart Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration Create self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truth Use AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertise Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team What You'll Bring Extensive experience in an analytical role, ideally within a product-led or digitally native environment Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential Hands-on experience with BI tools such as Lightdash, Looker, or Tableau A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real Comfort working across teams and managing multiple priorities without losing rigour Genuine curiosity about user behaviour and a drive to understand the why behind the data An openness to integrating AI tools into your workflow and a mindset for continuous improvement Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid working and flexible hours EV charging and free parking onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. monthly Light's Up and annual Shine awards Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
A leading global biopharma company is seeking a Senior Applied AI Engineer to work on high-impact AI/ML solutions. You will collaborate with scientists and product teams to design and deploy machine learning models that enhance drug discovery and decision-making. The ideal candidate has at least 3 years of experience in developing ML models and expertise in Python, along with familiarity with cloud platforms and containerization technologies. The role offers opportunities to educate others on AI and leverage transformative technology to drive significant health outcomes.
Apr 03, 2026
Full time
A leading global biopharma company is seeking a Senior Applied AI Engineer to work on high-impact AI/ML solutions. You will collaborate with scientists and product teams to design and deploy machine learning models that enhance drug discovery and decision-making. The ideal candidate has at least 3 years of experience in developing ML models and expertise in Python, along with familiarity with cloud platforms and containerization technologies. The role offers opportunities to educate others on AI and leverage transformative technology to drive significant health outcomes.
Job Title: Senior Data Scientist Location: Bexhill/Leicester/London - Hybrid Welcome to Hastings Direct We're a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We've made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.We provide insurance for over four million customers, but we know there's even bigger opportunity out there - our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.Pricing is more than just a number - it's a strategic capability. At the heart of Hastings is deep risk insight - continually improving how we assess, segment and price risk through data and analytics. Role Purpose The Senior Data Scientist/Data Science Manager will own and oversee projects delivering predictive models and other tools into Hastings' market-leading pricing. This role is within a team of data scientists championing machine learning (ML) techniques to improve predictive performance using vast amounts of customer information.The Senior Data Scientist/Data Science Manager will combine their knowledge and understanding of data science concepts with Hastings' domain knowledge and processes to develop advanced solutions to help Hastings become the top digital insurer in the UK. They will lead a team of data scientists, who will assist them in the creation of data science solutions. Accountabilities Your remit will include the following: Leading data science projects and teams to develop novel models and tools Mastering Hastings' systems, processes, and technology to maximise the effectiveness of your team Championing the investigation and use of powerful new features developed within Hastings Direct Building reusable, maintainable, automatable, and innovative processes and pipelines Leading, supporting, and mentoring junior colleagues Supporting senior leaders in the delivery of strategic objectives Skills, Knowledge & Experience Essential Deep understanding of predictive modelling and machine learning Track record of delivering commercial value Strong SQL coding skills Proficiency and experience using Python and ML libraries to build data science products Experience using Git for code collaboration and product version control Strong senior stakeholder management and communication skills Desire to lead projects and support junior colleagues to achieve commercial results Desirable Experience in general insurance Experience using Azure Machine Learning Studio Experience using Snowflake Experience leading, supporting, and mentoring junior colleagues Personal Attributes Natural problem solver who loves building quality solutions to complex real-world challenges Dynamic, flexible, and delivery-focussed Takes ownership and accountability Interview Process: Recruiter screening call1st Round - Intro call with Hiring manager2nd Round - Case study round What we will give you: Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.As a Disability Confident employer, we're committed to ensuring our recruitment processes are fully inclusive - what this means to you is if you're applying for a job with us, you'll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS). For more information on the DCS, please visit our inclusive business page on our career's website Benefits: in addition to a competitive salary and £5k car allowance you will also receive Flexible working - we champion a flexible hybrid working approach - please speak to your recruiter to discuss in more detail Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus Physical wellbeing - as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen Financial wellbeing - as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes - discounts, cashback, free independent mortgage advice and free access to financial wellbeing support Mental wellbeing programme - we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs There's more! - 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we'll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.At Hastings Direct, we're committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.Job posting end date:and check out the what we offer tab to learn more.Hastings Direct is a fast growing, agile, digitally focused general insurance provider of products and services to over 4 million customers in the UK, employing over 4,600 colleagues. Our vision - to be the best and biggest digital insurance provider in the market.It's our attitude and the way we run our business that makes us different. We focus on getting it right for our colleagues, customers, company and community. It's a dynamic, flexible, fun and constantly changing environment. You'll enjoy the scope to make a real difference for our customers, influence our company, benefit the communities we work in and have fun along the way.
Apr 03, 2026
Full time
Job Title: Senior Data Scientist Location: Bexhill/Leicester/London - Hybrid Welcome to Hastings Direct We're a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We've made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.We provide insurance for over four million customers, but we know there's even bigger opportunity out there - our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.Pricing is more than just a number - it's a strategic capability. At the heart of Hastings is deep risk insight - continually improving how we assess, segment and price risk through data and analytics. Role Purpose The Senior Data Scientist/Data Science Manager will own and oversee projects delivering predictive models and other tools into Hastings' market-leading pricing. This role is within a team of data scientists championing machine learning (ML) techniques to improve predictive performance using vast amounts of customer information.The Senior Data Scientist/Data Science Manager will combine their knowledge and understanding of data science concepts with Hastings' domain knowledge and processes to develop advanced solutions to help Hastings become the top digital insurer in the UK. They will lead a team of data scientists, who will assist them in the creation of data science solutions. Accountabilities Your remit will include the following: Leading data science projects and teams to develop novel models and tools Mastering Hastings' systems, processes, and technology to maximise the effectiveness of your team Championing the investigation and use of powerful new features developed within Hastings Direct Building reusable, maintainable, automatable, and innovative processes and pipelines Leading, supporting, and mentoring junior colleagues Supporting senior leaders in the delivery of strategic objectives Skills, Knowledge & Experience Essential Deep understanding of predictive modelling and machine learning Track record of delivering commercial value Strong SQL coding skills Proficiency and experience using Python and ML libraries to build data science products Experience using Git for code collaboration and product version control Strong senior stakeholder management and communication skills Desire to lead projects and support junior colleagues to achieve commercial results Desirable Experience in general insurance Experience using Azure Machine Learning Studio Experience using Snowflake Experience leading, supporting, and mentoring junior colleagues Personal Attributes Natural problem solver who loves building quality solutions to complex real-world challenges Dynamic, flexible, and delivery-focussed Takes ownership and accountability Interview Process: Recruiter screening call1st Round - Intro call with Hiring manager2nd Round - Case study round What we will give you: Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.As a Disability Confident employer, we're committed to ensuring our recruitment processes are fully inclusive - what this means to you is if you're applying for a job with us, you'll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS). For more information on the DCS, please visit our inclusive business page on our career's website Benefits: in addition to a competitive salary and £5k car allowance you will also receive Flexible working - we champion a flexible hybrid working approach - please speak to your recruiter to discuss in more detail Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus Physical wellbeing - as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen Financial wellbeing - as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes - discounts, cashback, free independent mortgage advice and free access to financial wellbeing support Mental wellbeing programme - we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs There's more! - 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you'll be helping to drive our growth, so in return, we'll give you all the support, training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we'll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.At Hastings Direct, we're committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.Job posting end date:and check out the what we offer tab to learn more.Hastings Direct is a fast growing, agile, digitally focused general insurance provider of products and services to over 4 million customers in the UK, employing over 4,600 colleagues. Our vision - to be the best and biggest digital insurance provider in the market.It's our attitude and the way we run our business that makes us different. We focus on getting it right for our colleagues, customers, company and community. It's a dynamic, flexible, fun and constantly changing environment. You'll enjoy the scope to make a real difference for our customers, influence our company, benefit the communities we work in and have fun along the way.
A leading digital insurance provider in the UK is looking for a Senior Data Scientist to lead projects in predictive modelling and machine learning. This role involves overseeing a team of data scientists and is positioned based in Bexhill/Leicester/London with a hybrid work model. The ideal candidate will have strong SQL and Python skills, experience in delivering commercial value, and the ability to manage senior stakeholders effectively. Attractive benefits include flexible working and financial wellbeing support.
Apr 03, 2026
Full time
A leading digital insurance provider in the UK is looking for a Senior Data Scientist to lead projects in predictive modelling and machine learning. This role involves overseeing a team of data scientists and is positioned based in Bexhill/Leicester/London with a hybrid work model. The ideal candidate will have strong SQL and Python skills, experience in delivering commercial value, and the ability to manage senior stakeholders effectively. Attractive benefits include flexible working and financial wellbeing support.
Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo's mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You enjoy a high degree of autonomy and thrive in a fast-paced environment You are keen to grow your knowledge in both business and technology You must have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry Great attention to details while keeping an eye on the big picture Excellent communication skills to articulate complex problems Capability to build mutual respect and trust with people of different background Nice to have: Experience in UK/EU retail lending businesses for personal/business customers Experience of ML model governance in a regulated industry Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage
Apr 03, 2026
Full time
Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo's mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You enjoy a high degree of autonomy and thrive in a fast-paced environment You are keen to grow your knowledge in both business and technology You must have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry Great attention to details while keeping an eye on the big picture Excellent communication skills to articulate complex problems Capability to build mutual respect and trust with people of different background Nice to have: Experience in UK/EU retail lending businesses for personal/business customers Experience of ML model governance in a regulated industry Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage
Our Vision & Products EverAI - Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years - Help Us Reach 100M first, 500M next At EverAI, we're shaping what it means to connect with AI. With 50 million users and counting, we're not just building products - we're creating entirely new categories. Our flagship product is the world's largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard - an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we're only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of 75 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos CEO • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 '22 & '23 Michael Monin Co-founder & CTO • 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix Co-founder & CMO • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano CFO/Legal • 25+ years in Finance, Strategy, M&A • Ex-CFO/M& (exited to Blackstone) • Ex-President of the (exited) • (exited) Your Role Our tech team is expanding rapidly to keep pace with the ambitious feature roadmap we've set out. We are therefore hiring experienced Senior Software Engineers, to help us build and scale our product. You'll have the opportunity to help define our roadmap and find the best technical solutions to help our customers. You will also have time to run some experiments and bring new ideas to the table. Reporting directly to our Tech Lead, you will be responsible for: Interacting with the Product Manager to review project specs Preparing integration plans, break-downs, and estimations Hands-on code implementation, PRs, code reviews, testing, etc. You'll be working with Michael (co-founder and CTO) along with the product team and the engineering team (web developers, SRE, data scientists). What you will be working with Ruby, Ruby on Ruby (latest) PostgreSQL, Redis Hotwire (Turbo & Stimulus) Tailwind CSS Your Qualifications Must-haves 5+ years of experience: As a back-end or full-stack software engineer In tech scale-ups or any similarly agile and fast-paced environment On large-scale products where your code was used by thousands of monthly users Strong communication & collaborative skills (perfectly fluent in English) Ownership and commitment - we're looking for owners, not renters ️ Doer mindset - we are moving fast and we need people who can find the right balance between software craftsmanship and velocity User-centricity - you are proud of what you build and you share our obsession for amazing user experience - you are comfortable building products that are based on uncensored models and content Bonus points Past experience and/or interest in data science and generative AI (NLP, ML, MLOps, etc.) Experience working with globally distributed teams Why EverAI? Exponential Growth: From 50M users in 2 years, to 100M next - and 500M beyond Track Record of Category-Creating Innovation: We consistently launch world-first AI applications - setting the pace, not following it Global Impact: Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership: A senior team that's launched, scaled, and exited & IPO'd multiple scale ups - now fully focused on reshaping AI companionship Elite Remote Team: 100% remote and built to win - world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity ️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale What We Offer ️ Contract Type: We prefer B2B, but we're flexible, what matters is long term commitment and impact Work From Anywhere: Fully remote. Choose the environment where you do your best work ️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset Annual Gathering: A yearly in person meetup to connect, brainstorm, and celebrate wins together ️ Health & Wellness Support: Monthly allowance of100 USD for health insurance expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) Co Working Space Budget: Work from a co working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications Equipment: Company laptop provided + monitor budget up to 250 USD for your workspace setup AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows Top Tier Talent Is Our Multiplier We're a fully remote group of A-players from Tier 1 tech, led by an exec team who've launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build - and who we build it with. We're looking for exceptional talent ready to ship & distribute world first AI products at scale, fast, and co create with us this category defining business. If that's you - reach out and apply! External Referral Program Know someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to 2,500 USD if they're hired. Submit a referral here.
Apr 03, 2026
Full time
Our Vision & Products EverAI - Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years - Help Us Reach 100M first, 500M next At EverAI, we're shaping what it means to connect with AI. With 50 million users and counting, we're not just building products - we're creating entirely new categories. Our flagship product is the world's largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard - an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we're only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of 75 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos CEO • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 '22 & '23 Michael Monin Co-founder & CTO • 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix Co-founder & CMO • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano CFO/Legal • 25+ years in Finance, Strategy, M&A • Ex-CFO/M& (exited to Blackstone) • Ex-President of the (exited) • (exited) Your Role Our tech team is expanding rapidly to keep pace with the ambitious feature roadmap we've set out. We are therefore hiring experienced Senior Software Engineers, to help us build and scale our product. You'll have the opportunity to help define our roadmap and find the best technical solutions to help our customers. You will also have time to run some experiments and bring new ideas to the table. Reporting directly to our Tech Lead, you will be responsible for: Interacting with the Product Manager to review project specs Preparing integration plans, break-downs, and estimations Hands-on code implementation, PRs, code reviews, testing, etc. You'll be working with Michael (co-founder and CTO) along with the product team and the engineering team (web developers, SRE, data scientists). What you will be working with Ruby, Ruby on Ruby (latest) PostgreSQL, Redis Hotwire (Turbo & Stimulus) Tailwind CSS Your Qualifications Must-haves 5+ years of experience: As a back-end or full-stack software engineer In tech scale-ups or any similarly agile and fast-paced environment On large-scale products where your code was used by thousands of monthly users Strong communication & collaborative skills (perfectly fluent in English) Ownership and commitment - we're looking for owners, not renters ️ Doer mindset - we are moving fast and we need people who can find the right balance between software craftsmanship and velocity User-centricity - you are proud of what you build and you share our obsession for amazing user experience - you are comfortable building products that are based on uncensored models and content Bonus points Past experience and/or interest in data science and generative AI (NLP, ML, MLOps, etc.) Experience working with globally distributed teams Why EverAI? Exponential Growth: From 50M users in 2 years, to 100M next - and 500M beyond Track Record of Category-Creating Innovation: We consistently launch world-first AI applications - setting the pace, not following it Global Impact: Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership: A senior team that's launched, scaled, and exited & IPO'd multiple scale ups - now fully focused on reshaping AI companionship Elite Remote Team: 100% remote and built to win - world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity ️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale What We Offer ️ Contract Type: We prefer B2B, but we're flexible, what matters is long term commitment and impact Work From Anywhere: Fully remote. Choose the environment where you do your best work ️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset Annual Gathering: A yearly in person meetup to connect, brainstorm, and celebrate wins together ️ Health & Wellness Support: Monthly allowance of100 USD for health insurance expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) Co Working Space Budget: Work from a co working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications Equipment: Company laptop provided + monitor budget up to 250 USD for your workspace setup AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows Top Tier Talent Is Our Multiplier We're a fully remote group of A-players from Tier 1 tech, led by an exec team who've launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build - and who we build it with. We're looking for exceptional talent ready to ship & distribute world first AI products at scale, fast, and co create with us this category defining business. If that's you - reach out and apply! External Referral Program Know someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to 2,500 USD if they're hired. Submit a referral here.
Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo's mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You enjoy a high degree of autonomy and thrive in a fast-paced environment You are keen to grow your knowledge in both business and technology You must have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry Great attention to details while keeping an eye on the big picture Excellent communication skills to articulate complex problems Capability to build mutual respect and trust with people of different background Nice to have: Experience in UK/EU retail lending businesses for personal/business customers Experience of ML model governance in a regulated industry Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage
Apr 03, 2026
Full time
Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo's mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): PyData stack for model development and offline deployment Google Vertex AI platform for cloud computing AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated by the impact on our customers and business You enjoy a high degree of autonomy and thrive in a fast-paced environment You are keen to grow your knowledge in both business and technology You must have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry Great attention to details while keeping an eye on the big picture Excellent communication skills to articulate complex problems Capability to build mutual respect and trust with people of different background Nice to have: Experience in UK/EU retail lending businesses for personal/business customers Experience of ML model governance in a regulated industry Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage
