Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper. The Role We're looking for an experienced and impact-driven Senior Data Scientist to join our Discovery team, focused on helping customers find products they love through better search, recommendations, and personalisation. This is a high-responsibility role that blends advanced modeling, analytical investigations and project ownership. You'll take the lead on projects that improve the core discovery experience-such as personalisation, relevance ranking, and multi-modal retrieval-as well as conduct deep investigations into user behaviour and feature performance. You'll be working across the full research and experimentation lifecycle: from framing the problem and exploring the data, to prototyping models, running offline evaluations, and validating ideas through AB testing. You'll also contribute to literature reviews and research spikes-for example, investigating how to apply new developments in vector search, embeddings, or LLMs to our discovery stack. This is a senior position, so you'll be expected to run projects independently: shaping roadmaps, communicating findings with clarity, mentoring junior team members, and collaborating closely with engineers, PMs and analysts to deliver measurable user and business impact. We work primarily in Python and SQL, with tools like Scikit-learn, Tensorflow, PyTorch and Pandas. Our ML stack runs on AWS and Sagemaker. We value clean, documented, well-tested and reviewed code-and have the tooling and culture to support this. Responsibilities Lead data science projects that improve product discovery features like search, recommendations and browsing Research and prototype new approaches using structured data, text, image and multi-modal embeddings Design and run offline evaluations to assess model changes before launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement, retention) Present complex results to non-technical stakeholders with clarity and strategic insight Mentor junior data scientists, delegate tasks where appropriate, and help set technical direction 5+ years of experience in applied data science, preferably in search, recommendations or user modelling Strong Python and SQL skills, with deep experience in data exploration, feature engineering and model evaluation Proven experience applying and comparing models for structured prediction, ranking, retrieval or recommendation Strong understanding of offline evaluation techniques and trade-offs in information retrieval and recommender systems Ability to communicate clearly across disciplines and seniority levels-including product, design and engineering Experience planning and delivering projects end-to-end, from problem definition to experimentation and rollout Familiarity with AB testing design and analysis in online product settings Bonus: experience working with embeddings (e.g. image, text, product), vector search, LLMs or hybrid models Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, themed events, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Jul 19, 2025
Full time
Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper. The Role We're looking for an experienced and impact-driven Senior Data Scientist to join our Discovery team, focused on helping customers find products they love through better search, recommendations, and personalisation. This is a high-responsibility role that blends advanced modeling, analytical investigations and project ownership. You'll take the lead on projects that improve the core discovery experience-such as personalisation, relevance ranking, and multi-modal retrieval-as well as conduct deep investigations into user behaviour and feature performance. You'll be working across the full research and experimentation lifecycle: from framing the problem and exploring the data, to prototyping models, running offline evaluations, and validating ideas through AB testing. You'll also contribute to literature reviews and research spikes-for example, investigating how to apply new developments in vector search, embeddings, or LLMs to our discovery stack. This is a senior position, so you'll be expected to run projects independently: shaping roadmaps, communicating findings with clarity, mentoring junior team members, and collaborating closely with engineers, PMs and analysts to deliver measurable user and business impact. We work primarily in Python and SQL, with tools like Scikit-learn, Tensorflow, PyTorch and Pandas. Our ML stack runs on AWS and Sagemaker. We value clean, documented, well-tested and reviewed code-and have the tooling and culture to support this. Responsibilities Lead data science projects that improve product discovery features like search, recommendations and browsing Research and prototype new approaches using structured data, text, image and multi-modal embeddings Design and run offline evaluations to assess model changes before launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement, retention) Present complex results to non-technical stakeholders with clarity and strategic insight Mentor junior data scientists, delegate tasks where appropriate, and help set technical direction 5+ years of experience in applied data science, preferably in search, recommendations or user modelling Strong Python and SQL skills, with deep experience in data exploration, feature engineering and model evaluation Proven experience applying and comparing models for structured prediction, ranking, retrieval or recommendation Strong understanding of offline evaluation techniques and trade-offs in information retrieval and recommender systems Ability to communicate clearly across disciplines and seniority levels-including product, design and engineering Experience planning and delivering projects end-to-end, from problem definition to experimentation and rollout Familiarity with AB testing design and analysis in online product settings Bonus: experience working with embeddings (e.g. image, text, product), vector search, LLMs or hybrid models Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, themed events, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Data Scientist with PyMc, Python & Marketing Mixed Modelling Job Type Contract/Temporary Location London Negotiable Job Ref BBBH13 Date Added July 17th, 2025 Consultant Louis Poynter Data Scientist with PyMc, Python & Marketing Mixed Modelling experience 6 Months Contract Inside IR35 Remote/Hybrid working Bankside My client a top Global company are currently looking to recruit a Data Scientist with PyMc & MMM experience to join their team on a 6-month contract basis. Please note if successful this position will need to set up via an Umbrella Company/PAYE. This Data scientist required to work with our clients Data Science team to drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models. Responsibilities: Oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation. Analyse all datasets to ensure that each KPI is understood, and data is ready for modelling. Proficiency in using Excel/SQL/Python/Pandas to process, transform, create variables, and build models. Build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions. Taking base models, oversee or build in additional improvements and progress the model towards finalisation Create sales effect/ ROI workbook, Create response curves and optimisation charts Budget allocation. Run scenarios required to answer client objectives for the purpose of forward looking optimization, Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity. Requirements: Proven experience in developing and implementing Marketing Mix Models Be an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling / ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have in depth understanding of statistical modelling techniques and their mathematical foundations, Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a foundation in modelling and computer science is highly desirable, but not essential. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Jul 19, 2025
Full time
Data Scientist with PyMc, Python & Marketing Mixed Modelling Job Type Contract/Temporary Location London Negotiable Job Ref BBBH13 Date Added July 17th, 2025 Consultant Louis Poynter Data Scientist with PyMc, Python & Marketing Mixed Modelling experience 6 Months Contract Inside IR35 Remote/Hybrid working Bankside My client a top Global company are currently looking to recruit a Data Scientist with PyMc & MMM experience to join their team on a 6-month contract basis. Please note if successful this position will need to set up via an Umbrella Company/PAYE. This Data scientist required to work with our clients Data Science team to drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models. Responsibilities: Oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation. Analyse all datasets to ensure that each KPI is understood, and data is ready for modelling. Proficiency in using Excel/SQL/Python/Pandas to process, transform, create variables, and build models. Build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions. Taking base models, oversee or build in additional improvements and progress the model towards finalisation Create sales effect/ ROI workbook, Create response curves and optimisation charts Budget allocation. Run scenarios required to answer client objectives for the purpose of forward looking optimization, Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity. Requirements: Proven experience in developing and implementing Marketing Mix Models Be an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling / ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have in depth understanding of statistical modelling techniques and their mathematical foundations, Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a foundation in modelling and computer science is highly desirable, but not essential. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Security Engineer , Dedicated Security Team Job ID: Amazon Data Services Ireland Limited At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. We are seeking Security Engineers who want to help secure Amazon. If you're passionate about Information Security, have exceptional technical depth in one or more security domains, and want to join a large scale, fast-paced organization with global impact on millions of customers, then we'd like to talk to you. We are passionate in our desire to secure Amazon's environments and protect our customers' trust and unflinching in our resolve to hold the security bar high. As a Security Engineer, you will be responsible for leading security diligence for acquisitions, designing and guiding post-close acquisition security roadmaps, and enabling existing Amazon subsidiaries to seamlessly secure their environments through the delivery of innovative security solutions and acting as a Trusted Advisor across the organization. The ideal candidate combines technical acumen with an ability to lead by influence and communicate clearly. Technically, this person will be a security generalist with one or more areas of deep expertise. In their communication, they will clearly articulate risks to technical and non-technical audiences alike. Inter-personally, successful candidates will effectively harmonize disparate opinions while effectively prioritizing risks to guide their partners towards secure solutions. Key job responsibilities - As a Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. - You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the infrastructure for all customers and preserves our customers' trust in us. - You'll get to use the full power and breadth of Amazon built security technologies to build services that proactively protect customers, both internally and externally, from security threats. - Communicate effectively with management and engineering, building trust across the organization, and demonstrating discretion with sensitive information. - Identify continuous process improvements at unprecedented scale. - Support scalable security solutions across our diverse subsidiary networks. - Strong desire to up-skill and self-develop to learn at Amazon scale. - Support threat modeling and turn that into actionable plans to reduce risk. - Support pre-acquisition security due diligence interviews and create security findings and recommendations reports. - Support creation of post-close secure integration roadmaps for new acquisitions, act as a Trusted Advisor to new and existing subsidiaries. About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field. - Knowledge of system, network and OS - Understanding of security threats, hands-on experience detecting and defending from cyber attacks, and experience using big data analytics and orchestration to address security challenges. - Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code review. PREFERRED QUALIFICATIONS - You demonstrate excellent judgement in assessing and prioritizing technical risk. - You have a strong application security background with a focus on scalable solutions. - You have experience building and securing complex architecture. - You work to identify and remove bottlenecks for your teammates, both in process and technology. - Hold professional security certification such as CISSP, CRISC Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 19, 2025
Full time
Security Engineer , Dedicated Security Team Job ID: Amazon Data Services Ireland Limited At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. We are seeking Security Engineers who want to help secure Amazon. If you're passionate about Information Security, have exceptional technical depth in one or more security domains, and want to join a large scale, fast-paced organization with global impact on millions of customers, then we'd like to talk to you. We are passionate in our desire to secure Amazon's environments and protect our customers' trust and unflinching in our resolve to hold the security bar high. As a Security Engineer, you will be responsible for leading security diligence for acquisitions, designing and guiding post-close acquisition security roadmaps, and enabling existing Amazon subsidiaries to seamlessly secure their environments through the delivery of innovative security solutions and acting as a Trusted Advisor across the organization. The ideal candidate combines technical acumen with an ability to lead by influence and communicate clearly. Technically, this person will be a security generalist with one or more areas of deep expertise. In their communication, they will clearly articulate risks to technical and non-technical audiences alike. Inter-personally, successful candidates will effectively harmonize disparate opinions while effectively prioritizing risks to guide their partners towards secure solutions. Key job responsibilities - As a Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. - You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the infrastructure for all customers and preserves our customers' trust in us. - You'll get to use the full power and breadth of Amazon built security technologies to build services that proactively protect customers, both internally and externally, from security threats. - Communicate effectively with management and engineering, building trust across the organization, and demonstrating discretion with sensitive information. - Identify continuous process improvements at unprecedented scale. - Support scalable security solutions across our diverse subsidiary networks. - Strong desire to up-skill and self-develop to learn at Amazon scale. - Support threat modeling and turn that into actionable plans to reduce risk. - Support pre-acquisition security due diligence interviews and create security findings and recommendations reports. - Support creation of post-close secure integration roadmaps for new acquisitions, act as a Trusted Advisor to new and existing subsidiaries. About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field. - Knowledge of system, network and OS - Understanding of security threats, hands-on experience detecting and defending from cyber attacks, and experience using big data analytics and orchestration to address security challenges. - Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code review. PREFERRED QUALIFICATIONS - You demonstrate excellent judgement in assessing and prioritizing technical risk. - You have a strong application security background with a focus on scalable solutions. - You have experience building and securing complex architecture. - You work to identify and remove bottlenecks for your teammates, both in process and technology. - Hold professional security certification such as CISSP, CRISC Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Senior / Lead Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Job Type Professional AI or Artificial Intelligence Job Id Location: Offsite, London, United Kingdom Area of Interest Engineer - Software Job Type Professional Technology Interest AI or Artificial Intelligence Job Id New Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by using Causal AI to redefine Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly distributed team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognized this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyze and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and improve the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve complicated research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organizations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Message to applicants applying to work in the U.S. and/or Canada: When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees haveaccess to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days ofvacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Offpolicy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours ofunused sick timewill be carried forwardfrom one calendar yearto the nextsuch that the maximum number of sick time hours an employee may have available is160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. Sign up to receive notifications of similar jobs
Jul 19, 2025
Full time
Senior / Lead Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Job Type Professional AI or Artificial Intelligence Job Id Location: Offsite, London, United Kingdom Area of Interest Engineer - Software Job Type Professional Technology Interest AI or Artificial Intelligence Job Id New Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by using Causal AI to redefine Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly distributed team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognized this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyze and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and improve the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve complicated research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organizations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Message to applicants applying to work in the U.S. and/or Canada: When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees haveaccess to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days ofvacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Offpolicy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours ofunused sick timewill be carried forwardfrom one calendar yearto the nextsuch that the maximum number of sick time hours an employee may have available is160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. Sign up to receive notifications of similar jobs
Do you enjoy solving complex problems using data-driven insights? About The Role This is a fantastic opportunity to contribute to advancing healthcare through imaging solutions. You will play a vital role in Perspectum's Pharma Solutions (clinical trials) work, support Translational Science projects and early stage R&D work for medical devices and future pharma pipelines. As one of our Data Scientists, you are responsible for a broad range of activities including: Operationalising and delivering custom pharma pipelines Optimising existing pharma pipelines to reduce cost and improve data quality Developing new metrics to support ongoing and future pharma trials Creating dashboards to visualise critical metrics and deliver actionable insights Providing 1st-line technical support to troubleshoot issues For further details on the role and what we are looking for, please download the job description under 'Information' on the right hand side of this screen. About You We are looking for a Data Scientist with practical industry experience who enjoys being hands-on, implementing new ideas, and has an analytical mindset. Prior experience in medical imaging, or similar, would be beneficial but is not required. Your knowledge and experience will include: Solid grounding in mathematics/sciences Experience in data science/artificial intelligence Automation of data processing pipelines on remote systems (on the "cloud") Understanding of the importance of algorithmic validation Desirable experience includes: Cloud Computing (i.e. AWS, GCP, Azure) Coding Experience (e.g. Python) CI/CD pipelines, unit testing, use of version control systems. Dashboarding and Data Visualization Skills (e.g. Streamlit, Dash, Retool, Plotly) Exposure to ML libraries/systems (Scikit-learn, PyTorch, MLflow) Clinical trials Good Clinical Practice (GCP) Medical device development About Us All our benefits information can be found in the downloadable Benefits document under 'Information' on the right hand side of this screen. At Perspectum, we are committed to fostering diversity, equity, and inclusion. We prioritise hiring based on merit, skills, and qualifications, valuing individuals for their unique contributions while ensuring a culture that respects and celebrates differences. If you require any reasonable adjustments as part of your application process, please let our Talent Team know.
Jul 19, 2025
Full time
Do you enjoy solving complex problems using data-driven insights? About The Role This is a fantastic opportunity to contribute to advancing healthcare through imaging solutions. You will play a vital role in Perspectum's Pharma Solutions (clinical trials) work, support Translational Science projects and early stage R&D work for medical devices and future pharma pipelines. As one of our Data Scientists, you are responsible for a broad range of activities including: Operationalising and delivering custom pharma pipelines Optimising existing pharma pipelines to reduce cost and improve data quality Developing new metrics to support ongoing and future pharma trials Creating dashboards to visualise critical metrics and deliver actionable insights Providing 1st-line technical support to troubleshoot issues For further details on the role and what we are looking for, please download the job description under 'Information' on the right hand side of this screen. About You We are looking for a Data Scientist with practical industry experience who enjoys being hands-on, implementing new ideas, and has an analytical mindset. Prior experience in medical imaging, or similar, would be beneficial but is not required. Your knowledge and experience will include: Solid grounding in mathematics/sciences Experience in data science/artificial intelligence Automation of data processing pipelines on remote systems (on the "cloud") Understanding of the importance of algorithmic validation Desirable experience includes: Cloud Computing (i.e. AWS, GCP, Azure) Coding Experience (e.g. Python) CI/CD pipelines, unit testing, use of version control systems. Dashboarding and Data Visualization Skills (e.g. Streamlit, Dash, Retool, Plotly) Exposure to ML libraries/systems (Scikit-learn, PyTorch, MLflow) Clinical trials Good Clinical Practice (GCP) Medical device development About Us All our benefits information can be found in the downloadable Benefits document under 'Information' on the right hand side of this screen. At Perspectum, we are committed to fostering diversity, equity, and inclusion. We prioritise hiring based on merit, skills, and qualifications, valuing individuals for their unique contributions while ensuring a culture that respects and celebrates differences. If you require any reasonable adjustments as part of your application process, please let our Talent Team know.
Title: Data Scientist At KBR - We do things that matter. We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 38,000 people worldwide with customers in more than 80 countries and operations in over 29 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results. At KBR, We Deliver. KBR in Australia With over 65 years working on some of Australia's largest and most complex projects, KBR has unmatched experience supporting the nation's critical infrastructure, energy transition and national security priorities. KBR has around 2,000 employees throughout Australia, who are focused on delivering innovative technology and engineering solutions for a safer, more secure and sustainable future. Learn more about KBR in Australia Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. The Opportunity: We are seeking a skilledData Scientistto support our Managed Services Provider (MSP) engagement within the Defence sector inMelbourne. This critical role involves working across complex, multi-domain systems, ensuring successful integration, interoperability, and performance within a broader enterprise or mission system. You will play a pivotal part in bridging capability gaps across multiple stakeholder environments. Responsibilities: Collect and process HUMS data from platforms such as M113AS4, Bushmaster PMV, and ASLAV Inform Condition Based Maintenance (CBM) analysis and generate predictive maintenance insights Integrate HUMS outputs with Defence systems like MILIS (Military Integrated Logistics Information System) / ERP Conduct forensic analysis of incidents using high-resolution sensor data (e.g. GPS, engine torque, battery health) Develop dashboards and visualisations for operational statistics and mission profiles Collaborate with OEMs and Defence stakeholders to refine HUMS configurations and data strategies Support trials and exercises with real-time data interpretation Provide input to specifications and policies from data insights As the ideal candidate you will bring: Degree in Data Science, Engineering, Information Systems, or related field Experience with sensor data, CANBUS, and vehicle diagnostics Proficiency in tools like Python, MATLAB, or Power BI Familiarity with Defence logistics systems and CBM frameworks Strong analytical and problem-solving skills Ability to work in multidisciplinary teams across Defence and industry Relevant degree in Systems Engineering, Electrical/Electronic Engineering, Computer Science, or related discipline. Ability to work under ITAR restrictions if required. All candidates will be required to hold and maintain an active NV1 Defence Security Clearance. Only candidates holding a NV1 Clearance or above should apply. What we will offer you: A workplace culture certified as a Great Place To Work Flexible working Competitive salary (including annual reviews) Paid parental leave Income protection Corporate rewards Salary packaging/Novated leasing Employee stock purchase plans Flu shots, skin checks and discounted private health insurance Career development: Online learning, mentorship and career pathways If you're ready to shape tomorrow, let's get started. Apply Now! As a Major Service Provider of the Australian Defence Force, an AGSVA security clearance will be required and compliance to International Traffic in Arms Regulations (ITAR). As such, our hiring decisions are based on the key requirements of each role and candidates are selected based on their unique strengths and experiences.
Jul 19, 2025
Full time
Title: Data Scientist At KBR - We do things that matter. We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 38,000 people worldwide with customers in more than 80 countries and operations in over 29 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results. At KBR, We Deliver. KBR in Australia With over 65 years working on some of Australia's largest and most complex projects, KBR has unmatched experience supporting the nation's critical infrastructure, energy transition and national security priorities. KBR has around 2,000 employees throughout Australia, who are focused on delivering innovative technology and engineering solutions for a safer, more secure and sustainable future. Learn more about KBR in Australia Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. The Opportunity: We are seeking a skilledData Scientistto support our Managed Services Provider (MSP) engagement within the Defence sector inMelbourne. This critical role involves working across complex, multi-domain systems, ensuring successful integration, interoperability, and performance within a broader enterprise or mission system. You will play a pivotal part in bridging capability gaps across multiple stakeholder environments. Responsibilities: Collect and process HUMS data from platforms such as M113AS4, Bushmaster PMV, and ASLAV Inform Condition Based Maintenance (CBM) analysis and generate predictive maintenance insights Integrate HUMS outputs with Defence systems like MILIS (Military Integrated Logistics Information System) / ERP Conduct forensic analysis of incidents using high-resolution sensor data (e.g. GPS, engine torque, battery health) Develop dashboards and visualisations for operational statistics and mission profiles Collaborate with OEMs and Defence stakeholders to refine HUMS configurations and data strategies Support trials and exercises with real-time data interpretation Provide input to specifications and policies from data insights As the ideal candidate you will bring: Degree in Data Science, Engineering, Information Systems, or related field Experience with sensor data, CANBUS, and vehicle diagnostics Proficiency in tools like Python, MATLAB, or Power BI Familiarity with Defence logistics systems and CBM frameworks Strong analytical and problem-solving skills Ability to work in multidisciplinary teams across Defence and industry Relevant degree in Systems Engineering, Electrical/Electronic Engineering, Computer Science, or related discipline. Ability to work under ITAR restrictions if required. All candidates will be required to hold and maintain an active NV1 Defence Security Clearance. Only candidates holding a NV1 Clearance or above should apply. What we will offer you: A workplace culture certified as a Great Place To Work Flexible working Competitive salary (including annual reviews) Paid parental leave Income protection Corporate rewards Salary packaging/Novated leasing Employee stock purchase plans Flu shots, skin checks and discounted private health insurance Career development: Online learning, mentorship and career pathways If you're ready to shape tomorrow, let's get started. Apply Now! As a Major Service Provider of the Australian Defence Force, an AGSVA security clearance will be required and compliance to International Traffic in Arms Regulations (ITAR). As such, our hiring decisions are based on the key requirements of each role and candidates are selected based on their unique strengths and experiences.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team: The Traveler Business Team builds and drives growth for our global consumer businesses-Expedia, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about data, analytics and predictive modelling? Do you want to be at the forefront of a truly customer-centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III (Individual Contributor) role in the Planning and Insights Analytics team. You will provide powerful analyses and insights and develop business forecast models, capital allocation and strategic planning across Expedia Group brands. This is an exciting opportunity for a team-player who wants to be a central part of a truly customer focused team and a growing analytics function! You will own the relationship with our stakeholders and help drive the expansion of forecast applications, spend allocation and scenario planning across the B2C organization. You will also have opportunities to research and develop new modelling techniques that incorporate business drivers as required. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. In this role, you will: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision-making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Marketing stakeholders, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Experience and qualifications: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling and developing forecast applications Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Jul 19, 2025
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team: The Traveler Business Team builds and drives growth for our global consumer businesses-Expedia, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about data, analytics and predictive modelling? Do you want to be at the forefront of a truly customer-centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III (Individual Contributor) role in the Planning and Insights Analytics team. You will provide powerful analyses and insights and develop business forecast models, capital allocation and strategic planning across Expedia Group brands. This is an exciting opportunity for a team-player who wants to be a central part of a truly customer focused team and a growing analytics function! You will own the relationship with our stakeholders and help drive the expansion of forecast applications, spend allocation and scenario planning across the B2C organization. You will also have opportunities to research and develop new modelling techniques that incorporate business drivers as required. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. In this role, you will: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision-making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Marketing stakeholders, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Experience and qualifications: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling and developing forecast applications Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS' multi-tenant infrastructure About Amazon Security Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve Key job responsibilities As a Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers' trust in us. You'll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts working with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Knowledge of networking protocols such as HTTP, DNS and TCP/IP - Experience programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language PREFERRED QUALIFICATIONS - Experience with AWS products and services - Experience with any combination of the following: threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security - Experience with programming languages such as Python, Java, C++ Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 19, 2025
Full time
Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS' multi-tenant infrastructure About Amazon Security Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve Key job responsibilities As a Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers' trust in us. You'll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts working with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Knowledge of networking protocols such as HTTP, DNS and TCP/IP - Experience programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language PREFERRED QUALIFICATIONS - Experience with AWS products and services - Experience with any combination of the following: threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security - Experience with programming languages such as Python, Java, C++ Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We are seeking a highly motivated Lab Automation Scientist to drive the implementation, optimisation, and support of laboratory automation systems across our biopharma R&D and development workflows. The ideal candidate will have hands-on experience with laboratory robotics and instrumentation, method scripting, and integration with digital systems such as Electronic Lab notebooks (ELN) and Laboratory Information Management Systems (LIMS) and data platforms. The position necessitates expertise in multiple commercially accessible automation equipment, liquid handling systems, coupled with significant biotech and wet lab experience. Please note you must be willing to travel within the UK and Europe, accounting for approximately 10% of working time! Key responsibilities: Design, develop, and validate automated workflows for key assays, processes and screening campaigns mostly on liquid handlers I the field on cell culture process development and analytics. Program and maintain lab automation platforms in addition to troubleshooting equipment failures and coordinating with vendors for maintenance and service. Collaborate closely with laboratory scientists, bioinformaticians, IT teams, and other stakeholders to understand their challenges and needs, and to propose or implement appropriate solutions. Support scale-up and tech transfer of automated workflows to operational areas or QC environments outside of R&D when needed. Supervise the installation, validation, and qualification of equipment to ensure performance meets standards. Key requirements: M.S. or Ph.D. in Biology, Biochemistry, or related field with experience in lab automation within the biotech/pharma industry Demonstrated proficiency in programming and developing at least one of the following laboratory automation software/hardware and liquid handlers: Hamilton Star, Tecan Proficient/Evo, Biomek i series, Agilent Bravo Experience writing or editing automation scripts (e.g., VENUS, EVOware, Python- or Java-based APIs) Familiarity with assay development and optimisation in an R&D or high-throughput environment Understanding of data flow, integration, and digital lab systems (e.g., LIMS, ELN) Excellent communication and presentation abilities at a high level Capable of leading projects with cross-functional teams Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
Jul 19, 2025
Full time
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We are seeking a highly motivated Lab Automation Scientist to drive the implementation, optimisation, and support of laboratory automation systems across our biopharma R&D and development workflows. The ideal candidate will have hands-on experience with laboratory robotics and instrumentation, method scripting, and integration with digital systems such as Electronic Lab notebooks (ELN) and Laboratory Information Management Systems (LIMS) and data platforms. The position necessitates expertise in multiple commercially accessible automation equipment, liquid handling systems, coupled with significant biotech and wet lab experience. Please note you must be willing to travel within the UK and Europe, accounting for approximately 10% of working time! Key responsibilities: Design, develop, and validate automated workflows for key assays, processes and screening campaigns mostly on liquid handlers I the field on cell culture process development and analytics. Program and maintain lab automation platforms in addition to troubleshooting equipment failures and coordinating with vendors for maintenance and service. Collaborate closely with laboratory scientists, bioinformaticians, IT teams, and other stakeholders to understand their challenges and needs, and to propose or implement appropriate solutions. Support scale-up and tech transfer of automated workflows to operational areas or QC environments outside of R&D when needed. Supervise the installation, validation, and qualification of equipment to ensure performance meets standards. Key requirements: M.S. or Ph.D. in Biology, Biochemistry, or related field with experience in lab automation within the biotech/pharma industry Demonstrated proficiency in programming and developing at least one of the following laboratory automation software/hardware and liquid handlers: Hamilton Star, Tecan Proficient/Evo, Biomek i series, Agilent Bravo Experience writing or editing automation scripts (e.g., VENUS, EVOware, Python- or Java-based APIs) Familiarity with assay development and optimisation in an R&D or high-throughput environment Understanding of data flow, integration, and digital lab systems (e.g., LIMS, ELN) Excellent communication and presentation abilities at a high level Capable of leading projects with cross-functional teams Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
Are you the kind of scientist who notices the details others miss? Good, we've got just the role for you. At LEX Diagnostics, we're on a mission to make diagnostics faster, simpler, and more accessible, without compromising performance. Our LEX VELO point-of-care PCR system is built to bring lab-quality results wherever they're needed. And behind every accurate test result is a set of reagents that have passed the highest standards of quality control. That's where you come in. We're looking for a Quality Control Scientist to join our Reagent Production team and take on a hands-on role assessing the consistency and quality of our reagents, from raw materials to final products. You'll be running RT-qPCR assays, troubleshooting issues, collaborating across teams, and documenting results in a way that makes regulators smile. If you're comfortable in the lab, curious about how things work (or don't), and excited to play a key role in getting a new IVD to market, we'd love to talk. What you'll be doing Running QC tests on incoming materials, in-process reagents, and finished products using qPCR and RT-qPCR Following established protocols and documenting results with clarity and accuracy Working closely with the Biology, Manufacturing and Quality teams to ensure every batch meets our gold-standard Supporting continuous improvement efforts and helping refine QC methods as the product scales Ensuring everything is done to Good Laboratory Practice and aligned with our ISO13485/FDA-aware processes Contributing to the reliability and reproducibility of one of the fastest PCR systems in the world What we're looking for A Bachelor's degree in molecular biology or a related field Hands-on experience with qPCR/RT-qPCR (and ideally the know-how to troubleshoot it) An appreciation for precision, accuracy, and documentation - with excellent attention to detail Strong communication skills and the ability to present data clearly and confidently Someone who's motivated, proactive, and thrives in a fast-paced, collaborative lab environment Nice to have Previous experience in IVD or medical diagnostics Familiarity with ISO13485 or similar quality systems Experience in QC testing for regulated products Our working culture encourages entrepreneurship, shared ideas, and technical collaboration, while providing you the freedom to do your best work. We also offer fantastic employee benefits including: Employer pension contribution of 10% (+3% personal contribution) Private Medical Insurance Life insurance 25 days' annual holiday plus bank holidays Discounts and memberships to local sports facilities and the theatre Why join LEX? You'll be part of brilliant team of scientists and engineers, in a culture that encourages ownership, curiosity, and collaboration. You'll also get: A front row seat in a company preparing for product launch The chance to grow with the role and help shape our QC approach A clear purpose: what you do here will directly improve healthcare outcomes around the world Who are we and what does the future hold for you? LEX Diagnostics was founded in 2020. Our innovative system integrates effortlessly into primary care settings, bringing PCR-level sensitivity to urgent care centres, physicians, labs, and pharmacies, all at a significantly lower cost per test than other molecular platforms. 2025 is a milestone year for us as we've just submitted dual 510(k) CLIA waiver applications to the U.S. FDA. This means you will be an important part of a high impact launch that will enhance your future career credentials. The Future In December 2023, QuidelOrtho invested in LEX Diagnostics, which included the exclusive option to acquire the company up to or shortly after 510(k) clearance by the FDA. In QuidelOrtho, we have an investment partner that recognises the capabilities of our team, and are excited for what we can continue to build together We are optimistic to receive 510(k) clearance in late 2025 or early 2026. What this means for you More Resources - Manufacturing scale, regulatory & distribution infrastructure R&D Focus - Concentrated innovation around LEX platform and test menu Career Mobility - As well as creating a cross-disciplinary development environment in science and engineering, LEX employees can transition into broader roles (e.g., regulatory affairs, global supply chain, sales, clinical affairs) across the integrated organisation. Global Exposure - International workflows & markets (US & EU) Impact & Stability - Increased product reach and organisational strength Development - Structured programs and training opportunities 2026 should see the elevation of the LEX Diagnostics team from startup environment into a well-supported, international diagnostics powerhouse without sacrificing the very thing that made our team successful, innovation. You'll help drive forward a unique, market-leading platform within a growing team that needs to invest in your development and career growth. Into the details, but ready for the bigger picture? Come help us build something extraordinary. We'd love to hear from you.
Jul 19, 2025
Full time
Are you the kind of scientist who notices the details others miss? Good, we've got just the role for you. At LEX Diagnostics, we're on a mission to make diagnostics faster, simpler, and more accessible, without compromising performance. Our LEX VELO point-of-care PCR system is built to bring lab-quality results wherever they're needed. And behind every accurate test result is a set of reagents that have passed the highest standards of quality control. That's where you come in. We're looking for a Quality Control Scientist to join our Reagent Production team and take on a hands-on role assessing the consistency and quality of our reagents, from raw materials to final products. You'll be running RT-qPCR assays, troubleshooting issues, collaborating across teams, and documenting results in a way that makes regulators smile. If you're comfortable in the lab, curious about how things work (or don't), and excited to play a key role in getting a new IVD to market, we'd love to talk. What you'll be doing Running QC tests on incoming materials, in-process reagents, and finished products using qPCR and RT-qPCR Following established protocols and documenting results with clarity and accuracy Working closely with the Biology, Manufacturing and Quality teams to ensure every batch meets our gold-standard Supporting continuous improvement efforts and helping refine QC methods as the product scales Ensuring everything is done to Good Laboratory Practice and aligned with our ISO13485/FDA-aware processes Contributing to the reliability and reproducibility of one of the fastest PCR systems in the world What we're looking for A Bachelor's degree in molecular biology or a related field Hands-on experience with qPCR/RT-qPCR (and ideally the know-how to troubleshoot it) An appreciation for precision, accuracy, and documentation - with excellent attention to detail Strong communication skills and the ability to present data clearly and confidently Someone who's motivated, proactive, and thrives in a fast-paced, collaborative lab environment Nice to have Previous experience in IVD or medical diagnostics Familiarity with ISO13485 or similar quality systems Experience in QC testing for regulated products Our working culture encourages entrepreneurship, shared ideas, and technical collaboration, while providing you the freedom to do your best work. We also offer fantastic employee benefits including: Employer pension contribution of 10% (+3% personal contribution) Private Medical Insurance Life insurance 25 days' annual holiday plus bank holidays Discounts and memberships to local sports facilities and the theatre Why join LEX? You'll be part of brilliant team of scientists and engineers, in a culture that encourages ownership, curiosity, and collaboration. You'll also get: A front row seat in a company preparing for product launch The chance to grow with the role and help shape our QC approach A clear purpose: what you do here will directly improve healthcare outcomes around the world Who are we and what does the future hold for you? LEX Diagnostics was founded in 2020. Our innovative system integrates effortlessly into primary care settings, bringing PCR-level sensitivity to urgent care centres, physicians, labs, and pharmacies, all at a significantly lower cost per test than other molecular platforms. 2025 is a milestone year for us as we've just submitted dual 510(k) CLIA waiver applications to the U.S. FDA. This means you will be an important part of a high impact launch that will enhance your future career credentials. The Future In December 2023, QuidelOrtho invested in LEX Diagnostics, which included the exclusive option to acquire the company up to or shortly after 510(k) clearance by the FDA. In QuidelOrtho, we have an investment partner that recognises the capabilities of our team, and are excited for what we can continue to build together We are optimistic to receive 510(k) clearance in late 2025 or early 2026. What this means for you More Resources - Manufacturing scale, regulatory & distribution infrastructure R&D Focus - Concentrated innovation around LEX platform and test menu Career Mobility - As well as creating a cross-disciplinary development environment in science and engineering, LEX employees can transition into broader roles (e.g., regulatory affairs, global supply chain, sales, clinical affairs) across the integrated organisation. Global Exposure - International workflows & markets (US & EU) Impact & Stability - Increased product reach and organisational strength Development - Structured programs and training opportunities 2026 should see the elevation of the LEX Diagnostics team from startup environment into a well-supported, international diagnostics powerhouse without sacrificing the very thing that made our team successful, innovation. You'll help drive forward a unique, market-leading platform within a growing team that needs to invest in your development and career growth. Into the details, but ready for the bigger picture? Come help us build something extraordinary. We'd love to hear from you.
Mondelez España Galletas Production SLU
Reading, Berkshire
Are You Ready to Make an Impact at RSSL? Join Our Mission to Transform Lives Through Science, Innovation and Collaboration At Reading Scientific Services Ltd (RSSL), we lead the way in scientific analysis, research, consultancy, and training. We provide services to the food, pharmaceutical, and consumer goods industries, as well as our parent company, Mondelez International. RSSL is dedicated to delivering world-class scientific solutions and outstanding customer service. Recognised for our excellence, we were awarded CRO of the Year at the 2023 OBN Awards, adding to our previous accolades Employer of the Year, Enlightened Employer and Women in Business. If you are passionate about driving innovation and making a real impact, RSSL is the place for you! Purpose: The role at Team Leader is to provide technical direction with line management responsibilities for a team of 5 Scientists and Technicians within the Speciality Pharmaceutical laboratory (Core team). This role plays a key role in ensuring that projects are performed and supervised effectively and accurately within agreed timescales and to appropriate quality standards. This role focuses on routine testing to established methodologies (client methods and pharmacopeial methods) for pharmaceutical raw materials and products including method verification. The Speciality Pharmaceutical laboratory focus on chromatography, mass spectrometry and elemental analysis techniques, with the focus of this role being gas chromatography (GC) and liquid chromatography mass spectrometry (LCMS). Supervision of analyses and training of junior members of the team, client contact, project management of client projects and administrative support for laboratory management are all part of the role. The position will be primarily based at the RSSL sites on the Reading university campus, although may require attendance at any of the RSSL sites or to support work in other laboratories. Primary Accountabilities / Responsibilities: Technical Provide high quality customer service at all times by ensuring effective organisation of assigned workload, integrity of analytical data generated and timely/accurate provision of results. Provide Technical direction within own area of expertise within the team. Perform a range of analysis using GC ad LCMS independently. Perform complex method optimisation and design verification protocols. Perform maintenance and troubleshooting of lab equipment. Perform data checking and provide interpretation of results for routine testing. Generate certificate analysis or external reports. Expert user of specific software and proficient in the use of generic and specific software packages require for the role: Laboratory's LIMS system, Q-Pulse, OpenLab. Provide training and supervise junior staff in routine activities and methods and interpretation. Take responsibility for elements of specific projects and/or specific areas of general laboratory/sample administration and assign housekeeping tasks as required. Will be expected to work in different laboratories if the demand is required. Communication & Influence Work as part of an efficient analytical team. To liaise with clients, business development and line management to ensure effective communication of project proposals and results. Participate in client and stake holder meetings as required. Deliver internal presentations across groups and to technical stakeholders. Manage small projects or defined areas of larger projects. Leadership and supervision Plan own workload and plan routine projects for junior staff. Train junior members of the team as required. Manage a team of Scientists and Technicians. QEHS Work to the highest standards of safety and quality by ensuring that appropriate COSHHs, risk assessments and SOPs are understood and followed. To complete assigned quality actions in a timely manner, including review and approval Write and approve SOPs and Test Methods. Generation and approval of Risk Assessments and COSHH. Understand and provide technical regulatory leadership in client audits. To maintain a clean, tidy and safe working environment. To understand and work to the requirements of GMP and UKAS. Ensure training records are accurate. Knowledge, Skills, Experience and Language Requirements: Educated to Degree or PhD in a relevant scientific discipline or equivalent relevant experience in a laboratory Excellent understanding of basic/specific lab equipment Scientific understanding and ability to independently conduct chemical analysis in relevant area Good knowledge of laboratory quality and accreditation systems (GMP/UKAS) Accountable, honest, hardworking and able to work efficiently in a team Flexible and adaptable to meet customer/business requirements. Well organised and capable of working on multiple activities concurrently. Meticulous attention to detail Good verbal and written skills with the ability to communicate with client's and colleagues Self motivated, enthusiastic and quick to learn Able to organise own work and others to maximise output Computer literate in standard MS office applications Ability to deliver projects/work within tight timescales and ability to motivate and mentor junior scientific staff Technical credibility to develop good working relationships with internal and external clients Ability to problem solve and plan resources to maintain workflow in delivery of projects Extended experience of working in relevant area Experience of working for. Or with, a CRO Analytical Project management English fluency (written and spoken) More about this role In return for your commitment, drive and enthusiasm, we offer an attractive benefits package within a highly successful international business that offers financial rewards and resources, including: Opportunities to learn and develop Performance Related Bonus scheme Contributory pension (between 8% to 11% employer contribution) Life assurance 27 days holiday allowance (possibility to buy 5 extra days) + bank holidays Employee Assistance Programme (EAP) Business Unit Summary Reading Scientific Services Ltd (RSSL) is a cutting-edge contract research organisation (CRO), providing research, analysis and consultancy to the food, consumer goods and life science sectors. Whether we are creating new products, validating medicines or solving investigations, we take pride in being a leader in our field, serving clients from across 70 countries.Enriched by our parent company, Mondelēz International, our team are committed to transforming lives through science, innovation and collaboration. Curious about us and want to learn more? RSSL is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type RegularAnalytical ScienceScience & Engineering Job Description Are You Ready to Make an Impact at RSSL? Join Our Mission to Transform Lives Through Science, Innovation and Collaboration At Reading Scientific Services Ltd (RSSL), we lead the way in scientific analysis, research, consultancy, and training. We provide services to the food, pharmaceutical, and consumer goods industries, as well as our parent company, Mondelez International. RSSL is dedicated to delivering world-class scientific solutions and outstanding customer service. Recognised for our excellence, we were awarded CRO of the Year at the 2023 OBN Awards, adding to our previous accolades Employer of the Year, Enlightened Employer and Women in Business. If you are passionate about driving innovation and making a real impact, RSSL is the place for you! Purpose: The role at Team Leader is to provide technical direction with line management responsibilities for a team of 5 Scientists and Technicians within the Speciality Pharmaceutical laboratory (Core team). This role plays a key role in ensuring that projects are performed and supervised effectively and accurately within agreed timescales and to appropriate quality standards. This role focuses on routine testing to established methodologies (client methods and pharmacopeial methods) for pharmaceutical raw materials and products including method verification. The Speciality Pharmaceutical laboratory focus on chromatography, mass spectrometry and elemental analysis techniques, with the focus of this role being gas chromatography (GC) and liquid chromatography mass spectrometry (LCMS). Supervision of analyses and training of junior members of the team, client contact, project management of client projects and administrative support for laboratory management are all part of the role. The position will be primarily based at the RSSL sites on the Reading university campus, although may require attendance at any of the RSSL sites or to support work in other laboratories. Primary Accountabilities / Responsibilities: Technical Provide high quality customer service at all times by ensuring effective organisation of assigned workload . click apply for full job details
Jul 19, 2025
Full time
Are You Ready to Make an Impact at RSSL? Join Our Mission to Transform Lives Through Science, Innovation and Collaboration At Reading Scientific Services Ltd (RSSL), we lead the way in scientific analysis, research, consultancy, and training. We provide services to the food, pharmaceutical, and consumer goods industries, as well as our parent company, Mondelez International. RSSL is dedicated to delivering world-class scientific solutions and outstanding customer service. Recognised for our excellence, we were awarded CRO of the Year at the 2023 OBN Awards, adding to our previous accolades Employer of the Year, Enlightened Employer and Women in Business. If you are passionate about driving innovation and making a real impact, RSSL is the place for you! Purpose: The role at Team Leader is to provide technical direction with line management responsibilities for a team of 5 Scientists and Technicians within the Speciality Pharmaceutical laboratory (Core team). This role plays a key role in ensuring that projects are performed and supervised effectively and accurately within agreed timescales and to appropriate quality standards. This role focuses on routine testing to established methodologies (client methods and pharmacopeial methods) for pharmaceutical raw materials and products including method verification. The Speciality Pharmaceutical laboratory focus on chromatography, mass spectrometry and elemental analysis techniques, with the focus of this role being gas chromatography (GC) and liquid chromatography mass spectrometry (LCMS). Supervision of analyses and training of junior members of the team, client contact, project management of client projects and administrative support for laboratory management are all part of the role. The position will be primarily based at the RSSL sites on the Reading university campus, although may require attendance at any of the RSSL sites or to support work in other laboratories. Primary Accountabilities / Responsibilities: Technical Provide high quality customer service at all times by ensuring effective organisation of assigned workload, integrity of analytical data generated and timely/accurate provision of results. Provide Technical direction within own area of expertise within the team. Perform a range of analysis using GC ad LCMS independently. Perform complex method optimisation and design verification protocols. Perform maintenance and troubleshooting of lab equipment. Perform data checking and provide interpretation of results for routine testing. Generate certificate analysis or external reports. Expert user of specific software and proficient in the use of generic and specific software packages require for the role: Laboratory's LIMS system, Q-Pulse, OpenLab. Provide training and supervise junior staff in routine activities and methods and interpretation. Take responsibility for elements of specific projects and/or specific areas of general laboratory/sample administration and assign housekeeping tasks as required. Will be expected to work in different laboratories if the demand is required. Communication & Influence Work as part of an efficient analytical team. To liaise with clients, business development and line management to ensure effective communication of project proposals and results. Participate in client and stake holder meetings as required. Deliver internal presentations across groups and to technical stakeholders. Manage small projects or defined areas of larger projects. Leadership and supervision Plan own workload and plan routine projects for junior staff. Train junior members of the team as required. Manage a team of Scientists and Technicians. QEHS Work to the highest standards of safety and quality by ensuring that appropriate COSHHs, risk assessments and SOPs are understood and followed. To complete assigned quality actions in a timely manner, including review and approval Write and approve SOPs and Test Methods. Generation and approval of Risk Assessments and COSHH. Understand and provide technical regulatory leadership in client audits. To maintain a clean, tidy and safe working environment. To understand and work to the requirements of GMP and UKAS. Ensure training records are accurate. Knowledge, Skills, Experience and Language Requirements: Educated to Degree or PhD in a relevant scientific discipline or equivalent relevant experience in a laboratory Excellent understanding of basic/specific lab equipment Scientific understanding and ability to independently conduct chemical analysis in relevant area Good knowledge of laboratory quality and accreditation systems (GMP/UKAS) Accountable, honest, hardworking and able to work efficiently in a team Flexible and adaptable to meet customer/business requirements. Well organised and capable of working on multiple activities concurrently. Meticulous attention to detail Good verbal and written skills with the ability to communicate with client's and colleagues Self motivated, enthusiastic and quick to learn Able to organise own work and others to maximise output Computer literate in standard MS office applications Ability to deliver projects/work within tight timescales and ability to motivate and mentor junior scientific staff Technical credibility to develop good working relationships with internal and external clients Ability to problem solve and plan resources to maintain workflow in delivery of projects Extended experience of working in relevant area Experience of working for. Or with, a CRO Analytical Project management English fluency (written and spoken) More about this role In return for your commitment, drive and enthusiasm, we offer an attractive benefits package within a highly successful international business that offers financial rewards and resources, including: Opportunities to learn and develop Performance Related Bonus scheme Contributory pension (between 8% to 11% employer contribution) Life assurance 27 days holiday allowance (possibility to buy 5 extra days) + bank holidays Employee Assistance Programme (EAP) Business Unit Summary Reading Scientific Services Ltd (RSSL) is a cutting-edge contract research organisation (CRO), providing research, analysis and consultancy to the food, consumer goods and life science sectors. Whether we are creating new products, validating medicines or solving investigations, we take pride in being a leader in our field, serving clients from across 70 countries.Enriched by our parent company, Mondelēz International, our team are committed to transforming lives through science, innovation and collaboration. Curious about us and want to learn more? RSSL is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type RegularAnalytical ScienceScience & Engineering Job Description Are You Ready to Make an Impact at RSSL? Join Our Mission to Transform Lives Through Science, Innovation and Collaboration At Reading Scientific Services Ltd (RSSL), we lead the way in scientific analysis, research, consultancy, and training. We provide services to the food, pharmaceutical, and consumer goods industries, as well as our parent company, Mondelez International. RSSL is dedicated to delivering world-class scientific solutions and outstanding customer service. Recognised for our excellence, we were awarded CRO of the Year at the 2023 OBN Awards, adding to our previous accolades Employer of the Year, Enlightened Employer and Women in Business. If you are passionate about driving innovation and making a real impact, RSSL is the place for you! Purpose: The role at Team Leader is to provide technical direction with line management responsibilities for a team of 5 Scientists and Technicians within the Speciality Pharmaceutical laboratory (Core team). This role plays a key role in ensuring that projects are performed and supervised effectively and accurately within agreed timescales and to appropriate quality standards. This role focuses on routine testing to established methodologies (client methods and pharmacopeial methods) for pharmaceutical raw materials and products including method verification. The Speciality Pharmaceutical laboratory focus on chromatography, mass spectrometry and elemental analysis techniques, with the focus of this role being gas chromatography (GC) and liquid chromatography mass spectrometry (LCMS). Supervision of analyses and training of junior members of the team, client contact, project management of client projects and administrative support for laboratory management are all part of the role. The position will be primarily based at the RSSL sites on the Reading university campus, although may require attendance at any of the RSSL sites or to support work in other laboratories. Primary Accountabilities / Responsibilities: Technical Provide high quality customer service at all times by ensuring effective organisation of assigned workload . click apply for full job details
Principal Data Engineer - Data Platforms / Data Lakes / Cloud / Python - 6-Month Contract - £625 p/d Inside IR35 - London A global digital media organisation are looking for a Principal Software Engineer to join their Data Foundation & Product Analytics team on an initial 12-month contract. This role sits at the forefront of enterprise data strategy, engineering, and platform governance - and will be instrumental in shaping the next generation of data infrastructure within the business. This is a hybrid role (London-based) with flexibility in a fast-paced, multi-cloud, multiplatform environment. You will partner with the Enterprise Data Lake and Governance teams, architecting robust data pipelines and platforms across cloud and on-prem ecosystems, whilst establishing and enforcing standards for data modelling, ensuring consistency in data quality. Key Responsibilities: Architect and lead the development of large-scale, secure, and resilient data lakes and pipelines using Data Lakes and Data Mesh concepts. Leading a small team including Developers, Data Scientists, Business Analysts Extensive experience using Python, SQL and AWS Define and enforce data architecture across mesh and domain-driven data products. Implement and govern real-time/batch processing (Kafka, Spark, Glue). Ensure strong metadata, cataloguing, and lineage practices across the enterprise. Lead teams of engineers across global hubs, mentoring and supporting high standards. Knowledge on data governance & security practices such as IAM, RBAC, Collibra, OpenMetadata, GDPR compliance
Jul 19, 2025
Full time
Principal Data Engineer - Data Platforms / Data Lakes / Cloud / Python - 6-Month Contract - £625 p/d Inside IR35 - London A global digital media organisation are looking for a Principal Software Engineer to join their Data Foundation & Product Analytics team on an initial 12-month contract. This role sits at the forefront of enterprise data strategy, engineering, and platform governance - and will be instrumental in shaping the next generation of data infrastructure within the business. This is a hybrid role (London-based) with flexibility in a fast-paced, multi-cloud, multiplatform environment. You will partner with the Enterprise Data Lake and Governance teams, architecting robust data pipelines and platforms across cloud and on-prem ecosystems, whilst establishing and enforcing standards for data modelling, ensuring consistency in data quality. Key Responsibilities: Architect and lead the development of large-scale, secure, and resilient data lakes and pipelines using Data Lakes and Data Mesh concepts. Leading a small team including Developers, Data Scientists, Business Analysts Extensive experience using Python, SQL and AWS Define and enforce data architecture across mesh and domain-driven data products. Implement and govern real-time/batch processing (Kafka, Spark, Glue). Ensure strong metadata, cataloguing, and lineage practices across the enterprise. Lead teams of engineers across global hubs, mentoring and supporting high standards. Knowledge on data governance & security practices such as IAM, RBAC, Collibra, OpenMetadata, GDPR compliance
At LEX Diagnostics, we're reinventing PCR for the real world. Our point-of-care system, LEX VELO , delivers ultra-fast molecular diagnostics, and your reagents are at the heart of it. We're looking for a Reagent Development Scientist to help develop temperature-stable, lyophilised reagents that perform under pressure, literally and figuratively. You'll be helping us push PCR beyond the lab and into hospitals, clinics, and emergency settings around the world. This is a hands on role, perfect for a scientist who thrives in the lab, enjoys complex problem solving, and wants to help build next generation diagnostics in a fast paced, collaborative environment. What you'll be doing This isn't just lab work, it's working side by side with biologists, engineers, and production teams to ensure our reagents are robust, reliable, and ready for the real world. You'll: Design and optimise qPCR and RT-qPCR reagents , with a focus on lyophilised and temperature-stable formulations Work closely with Integration, Engineering, and Assay teams to ensure reagents perform consistently within the LEX system Contribute to the development of new tests and features as our platform evolves Collaborate with our Reagent Production and Manufacturing teams to scale up and validate formulations Support experimental design, execution, data analysis, and documentation Work within an IVD framework, contributing to documentation under ISO13485 and preparing reagents for regulatory compliance Help troubleshoot and iterate with flexibility, accuracy, and a team mindset What we're looking for A PhD or equivalent experience in molecular biology or a related field Strong, hands-on experience in molecular biology, including RT/qRT-PCR , nucleic acid extraction, and quantification A solid understanding of reagent formulation , ideally including temperature-stable reagents and lyophilisation Experience with experimental design, troubleshooting, and data interpretation Excellent communication skills, you can clearly explain your findings and work collaboratively across teams A flexible, proactive approach to working in a dynamic, fast-paced R&D environment A keen eye for detail and a strong sense of ownership over your work Nice to have Experience working with prototype instruments , microfluidics or integrated biological systems Familiarity with ISO13485 , ISO9001 or GMP standards Previous experience in IVD or regulated diagnostics A background in improving sample extraction workflows We offer a collaborative and ambitious culture, alongside a fantastic benefits package: 10% employer pension contribution (+3% employee) Private Medical Insurance Life insurance 25 days annual holiday + bank holidays Local gym and theatre membership discounts Who are we and what's ahead for you? LEX Diagnostics was founded in 2020. Our innovative system integrates effortlessly into primary care settings, bringing PCR-level sensitivity to urgent care centres, physician offices, labs, and pharmacies, all at a significantly lower cost per test than other molecular platforms. 2025 is a milestone year : we've just submitted dual 510(k) and CLIA waiver applications to the U.S. FDA. We are hopeful for approval. That means you'll be joining just as we gear up for a major product launch a moment that will have a direct, meaningful impact on your future career. What's next for LEX? In December 2023, QuidelOrtho invested in LEX Diagnostics, including an exclusive option to acquire the company following FDA clearance. This strategic partnership means: More Resources - From scale-up manufacturing to global distribution R&D Focus - You'll stay close to the science as we expand our menu of tests Career Mobility - LEX team members gain access to opportunities across the wider organisation (regulatory, supply chain, sales, clinical, etc.) Global Exposure - Our work impacts international markets including the US and EU Impact & Stability - Combine start-up innovation with enterprise-level strength Development - Access structured training, mentoring, and technical upskilling We are hopeful for FDA clearance in late 2025 or early 2026 , and this will mean transitioning from a nimble start-up, to a globally supported diagnostics leader. Our plans are to do this without losing the curiosity, creativity, and drive that got us here. Why join LEX? Because here, your science really matters. You'll work on visible, vital problems that directly impact diagnostic accuracy, speed, and usability. You'll be part of a collaborative, cross-functional team that values deep technical expertise and shared progress. And you'll help shape how reagents power the future of point-of-care testing. Let your science take centre stage, and help us build the future of diagnostics. Apply now.
Jul 19, 2025
Full time
At LEX Diagnostics, we're reinventing PCR for the real world. Our point-of-care system, LEX VELO , delivers ultra-fast molecular diagnostics, and your reagents are at the heart of it. We're looking for a Reagent Development Scientist to help develop temperature-stable, lyophilised reagents that perform under pressure, literally and figuratively. You'll be helping us push PCR beyond the lab and into hospitals, clinics, and emergency settings around the world. This is a hands on role, perfect for a scientist who thrives in the lab, enjoys complex problem solving, and wants to help build next generation diagnostics in a fast paced, collaborative environment. What you'll be doing This isn't just lab work, it's working side by side with biologists, engineers, and production teams to ensure our reagents are robust, reliable, and ready for the real world. You'll: Design and optimise qPCR and RT-qPCR reagents , with a focus on lyophilised and temperature-stable formulations Work closely with Integration, Engineering, and Assay teams to ensure reagents perform consistently within the LEX system Contribute to the development of new tests and features as our platform evolves Collaborate with our Reagent Production and Manufacturing teams to scale up and validate formulations Support experimental design, execution, data analysis, and documentation Work within an IVD framework, contributing to documentation under ISO13485 and preparing reagents for regulatory compliance Help troubleshoot and iterate with flexibility, accuracy, and a team mindset What we're looking for A PhD or equivalent experience in molecular biology or a related field Strong, hands-on experience in molecular biology, including RT/qRT-PCR , nucleic acid extraction, and quantification A solid understanding of reagent formulation , ideally including temperature-stable reagents and lyophilisation Experience with experimental design, troubleshooting, and data interpretation Excellent communication skills, you can clearly explain your findings and work collaboratively across teams A flexible, proactive approach to working in a dynamic, fast-paced R&D environment A keen eye for detail and a strong sense of ownership over your work Nice to have Experience working with prototype instruments , microfluidics or integrated biological systems Familiarity with ISO13485 , ISO9001 or GMP standards Previous experience in IVD or regulated diagnostics A background in improving sample extraction workflows We offer a collaborative and ambitious culture, alongside a fantastic benefits package: 10% employer pension contribution (+3% employee) Private Medical Insurance Life insurance 25 days annual holiday + bank holidays Local gym and theatre membership discounts Who are we and what's ahead for you? LEX Diagnostics was founded in 2020. Our innovative system integrates effortlessly into primary care settings, bringing PCR-level sensitivity to urgent care centres, physician offices, labs, and pharmacies, all at a significantly lower cost per test than other molecular platforms. 2025 is a milestone year : we've just submitted dual 510(k) and CLIA waiver applications to the U.S. FDA. We are hopeful for approval. That means you'll be joining just as we gear up for a major product launch a moment that will have a direct, meaningful impact on your future career. What's next for LEX? In December 2023, QuidelOrtho invested in LEX Diagnostics, including an exclusive option to acquire the company following FDA clearance. This strategic partnership means: More Resources - From scale-up manufacturing to global distribution R&D Focus - You'll stay close to the science as we expand our menu of tests Career Mobility - LEX team members gain access to opportunities across the wider organisation (regulatory, supply chain, sales, clinical, etc.) Global Exposure - Our work impacts international markets including the US and EU Impact & Stability - Combine start-up innovation with enterprise-level strength Development - Access structured training, mentoring, and technical upskilling We are hopeful for FDA clearance in late 2025 or early 2026 , and this will mean transitioning from a nimble start-up, to a globally supported diagnostics leader. Our plans are to do this without losing the curiosity, creativity, and drive that got us here. Why join LEX? Because here, your science really matters. You'll work on visible, vital problems that directly impact diagnostic accuracy, speed, and usability. You'll be part of a collaborative, cross-functional team that values deep technical expertise and shared progress. And you'll help shape how reagents power the future of point-of-care testing. Let your science take centre stage, and help us build the future of diagnostics. Apply now.
14707 Permanent Competitive Hybrid Cambridge, Cambridgeshire, United Kingdom Updated on: 16-07-2025 ROLE OVERVIEW We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural and chemical data to improve virtual screening and molecular design workflows. 3. Leverage proprietary structural datasets to train, benchmark, and validate new algorithms. 4. Collaborate closely with cross-functional teams to ensure effective translation of research into production-ready solutions. ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Machine Learning Scientist we are looking to identify the following on your profile and past history: 1. Relevant degree in a technical discipline (e.g., computer science, chemistry, physics, engineering). 2. Proven industry experience in machine learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning Scientist / Structure-based Drug Discovery / Protein-Ligand Interaction / Computational Chemistry / AI Techniques / Molecular Modelling / Virtual Screening / Deep Learning / Generative Models / Python Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career. Your next opportunity is just a click away!
Jul 19, 2025
Full time
14707 Permanent Competitive Hybrid Cambridge, Cambridgeshire, United Kingdom Updated on: 16-07-2025 ROLE OVERVIEW We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug discovery. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows: 1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications. 2. Develop and extend AI approaches that integrate structural and chemical data to improve virtual screening and molecular design workflows. 3. Leverage proprietary structural datasets to train, benchmark, and validate new algorithms. 4. Collaborate closely with cross-functional teams to ensure effective translation of research into production-ready solutions. ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Machine Learning Scientist we are looking to identify the following on your profile and past history: 1. Relevant degree in a technical discipline (e.g., computer science, chemistry, physics, engineering). 2. Proven industry experience in machine learning, including deep learning and/or generative models. 3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX). Key Words: Machine Learning Scientist / Structure-based Drug Discovery / Protein-Ligand Interaction / Computational Chemistry / AI Techniques / Molecular Modelling / Virtual Screening / Deep Learning / Generative Models / Python Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career. Your next opportunity is just a click away!
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 3-8+ years of data science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a focus on driving impact A demonstrated ability to manage and deliver on multiple projects with a high attention to detail Solid business acumen and experience in synthesizing complex analyses into actionable recommendations A builder's mindset with a willingness to question assumptions and conventional wisdom Preferred qualifications Experience deploying models in production and adjusting model thresholds to improve performance Experience designing, running, and analyzing complex experiments or leveraging causal inference designs Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. The annual salary range for this role in the primary location is €76,000 - €114,000. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.
Jul 19, 2025
Full time
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 3-8+ years of data science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a focus on driving impact A demonstrated ability to manage and deliver on multiple projects with a high attention to detail Solid business acumen and experience in synthesizing complex analyses into actionable recommendations A builder's mindset with a willingness to question assumptions and conventional wisdom Preferred qualifications Experience deploying models in production and adjusting model thresholds to improve performance Experience designing, running, and analyzing complex experiments or leveraging causal inference designs Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. The annual salary range for this role in the primary location is €76,000 - €114,000. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.
NPL is seeking an experienced Higher Scientist based in Teddington to plan and deliver a variety of technical activities to advance our research. This is a fixed-term contract of 12 months to cover maternity leave, offering a competitive salary and benefits. The Air Quality sector is a critical issue for the UK and globally, gaining prominence on government agendas. NPL's Air Quality & Aerosol Metrology Group manages UK Air Quality Networks, provides essential metrological support to industry, and is a recognized leader in the field. We are looking for a dynamic, motivated individual to join our calibration laboratories on a fixed-term basis. You should hold a degree or higher qualification in a physical science or related discipline, with experience in applying scientific methods in a laboratory setting. Practical experience in scientific work, instrument calibration, working within a quality system, and attention to detail are highly desirable. Strong data processing, critical judgment, and communication skills are essential. You should be capable of identifying and implementing process improvements and have a good understanding of data analysis methods and measurement uncertainty analysis. As a Higher Scientist, you will be expected to acquire new knowledge and contribute to research solutions. You should also be proactive in identifying commercial opportunities arising from your work, which can lead to new products and services. At NPL, we value learning, respect, and teamwork, aiming to improve continuously for our colleagues and customers. Key Responsibilities: Sharing knowledge and mentoring less experienced colleagues. Developing partnerships to enhance capabilities. Acting as an external ambassador and promoting our work. Primary Responsibilities: Independently conducting the full calibration process, including instrument receipt, setup, calibration, data analysis, and certificate production, in accordance with our quality system. Meeting external customer deadlines while ensuring safety and quality standards. Contributing to continuous improvement initiatives for measurement services. Following health and safety protocols, especially when handling chemicals and radioactive sources. Collaborating with the team to solve complex calibration challenges in airborne and aerosolized nanoparticle fields. Working at NPL Teddington and various air quality monitoring sites across southern England; willingness to work outdoors and drive in urban areas is required. Additional Requirements: Current UK driving license. Ability to obtain BPSS security clearance. Note: Applications are reviewed continually, and the closing date may be advanced. We encourage early applications.
Jul 19, 2025
Full time
NPL is seeking an experienced Higher Scientist based in Teddington to plan and deliver a variety of technical activities to advance our research. This is a fixed-term contract of 12 months to cover maternity leave, offering a competitive salary and benefits. The Air Quality sector is a critical issue for the UK and globally, gaining prominence on government agendas. NPL's Air Quality & Aerosol Metrology Group manages UK Air Quality Networks, provides essential metrological support to industry, and is a recognized leader in the field. We are looking for a dynamic, motivated individual to join our calibration laboratories on a fixed-term basis. You should hold a degree or higher qualification in a physical science or related discipline, with experience in applying scientific methods in a laboratory setting. Practical experience in scientific work, instrument calibration, working within a quality system, and attention to detail are highly desirable. Strong data processing, critical judgment, and communication skills are essential. You should be capable of identifying and implementing process improvements and have a good understanding of data analysis methods and measurement uncertainty analysis. As a Higher Scientist, you will be expected to acquire new knowledge and contribute to research solutions. You should also be proactive in identifying commercial opportunities arising from your work, which can lead to new products and services. At NPL, we value learning, respect, and teamwork, aiming to improve continuously for our colleagues and customers. Key Responsibilities: Sharing knowledge and mentoring less experienced colleagues. Developing partnerships to enhance capabilities. Acting as an external ambassador and promoting our work. Primary Responsibilities: Independently conducting the full calibration process, including instrument receipt, setup, calibration, data analysis, and certificate production, in accordance with our quality system. Meeting external customer deadlines while ensuring safety and quality standards. Contributing to continuous improvement initiatives for measurement services. Following health and safety protocols, especially when handling chemicals and radioactive sources. Collaborating with the team to solve complex calibration challenges in airborne and aerosolized nanoparticle fields. Working at NPL Teddington and various air quality monitoring sites across southern England; willingness to work outdoors and drive in urban areas is required. Additional Requirements: Current UK driving license. Ability to obtain BPSS security clearance. Note: Applications are reviewed continually, and the closing date may be advanced. We encourage early applications.
Moving your career forward Our CEO, Angus spotted that many vans on the roads are half full or empty at any given time and so AnyVan was born in 2009 to create the world's most efficient technology logistics platform and help halve the number of miles driven. We've achieved incredible milestones since then, including securing the largest funding round for a UK tech logistics company from Vitruvian Partners. Today, AnyVan is the largest and fastest-growing company in the logistics space, with big ambitions for the future. We're committed to moving that's miles better and have helped over 8 million customers across the UK, Ireland and Europe (France, Germany, Italy, Spain) and over 150,000 customers have rated us excellent on Trustpilot. By using innovative technology, we're transforming the moving experience, cutting costs and doing our part for the planet to make sure moving doesn't cost the earth. We've saved enough miles to travel 1,185 times around the world, reduce 8520 tonnes of carbon annually and are proud to be the only carbon neutral removals and delivery company in the UK We're looking for passionate individuals to join our talented team of approx. 300 AnyVanners in our London and Cape Town offices. If you're as driven as we are and want to be part of a forward-thinking company to make moving 'miles better' and moving your career forward at the same time - we'd love to hear from you! As part of our Routing and Optimisation team, you'll play a crucial role in helping us deliver industry-leading products and services to our customers and delivery partners, while also reducing our cost to fulfil and minimising environmental impact. What you'll be doing: Bring a strong commercial mindset and apply advanced scientific techniques, analytics, and statistics to solve high-impact decision problems. As a seasoned data or decision science practitioner, you'll design and develop scalable, innovative algorithms and analytical solutions with a clear focus on business value. Collaborate closely with the Head of Routing and Optimisation, as well as engineering and product leaders, to conceptualise and deliver end-to-end solutions using heuristics, machine learning, and optimisation techniques. Work alongside, guide, and mentor both senior and junior data scientists to develop production-ready solutions, contributing hands-on where needed to write and deploy high-quality code. Partner with product and tech stakeholders to bring these solutions to life, ensuring they are scalable, sustainable, and commercially effective. Define key KPIs for each solution and take responsibility for tracking their performance post-launch to ensure they deliver measurable impact. Through your technical leadership and commercial focus, you'll drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in Operations Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top-tier management consulting firms focused on logistics A commercial mindset - driven by business impact, not perfection. You find simple, scalable solutions that solve 80% of the problem quickly rather than chasing complex, unnecessary models Passion to drive end-to-end value creation - from shaping the problem to deploying usable solutions and measuring their impact Ability to work with ambiguity and bring clarity; you're comfortable creating structure where there is none Deep understanding of techniques such as mixed-integer programming, heuristics/metaheuristics, approximate algorithms, constraint programming, and machine learning (incl. deep learning) - and you know when not to use them Hands-on experience in domains such as procurement planning, pricing, revenue management, routing, and forecasting Strong SQL and programming ability (Python essential; Java/C++ a plus) Excellent communication skills (written and verbal) - you can explain complex ideas in simple terms, and push back on over-complication when needed Passion for data science, optimisation, and the logistics marketplace Working knowledge of agile methodologies and experience working in fast-moving cross-functional teams A bias to action - you value progress over perfection and can move quickly to deliver value Based in the UK, happy to commute to our Hammersmith office at least 3 days a week Perks of the job: A great base salary that reflects your value Take a Break: 25 days of holiday plus public holidays, Christmas Eve on us and Long Term Service perks capped at 30days Keeping you healthy: In house gym, the opportunity to join Vitality with a hole host of wellbeing benefits and medical cover and enhanced sick pay Prepare for the future: The People's Pension with 5% employee and 3% employer contributions Family leave: enhanced maternity pay Travel: We're 2 mins walk from the tube, partner with Octopus Electric Vehicles and Evans Cycle to Work scheme, and have showers and towels if you cycle! Keeping you refreshed: Enjoy an in-house barista and free breakfast every day Social Scene: Thursday drinks and regular social activities Celebrating Success: 1/4 performance awards with prizes and an annual performance awards - last years winner enjoyed a 4 day all expenses paid trip to the French alps! Skills Booster: Opportunity to join a disruptive Technology Leader and be part of a fast-growing, innovative company reshaping the industry Our company values are: Have fun, get it done (work hard play hard, satisfaction in results, do the right thing) Progress over perfection (Innovate and disrupt, Curious and adaptable, Work quick, learn quicker) One team thinking big (Collaborate and communicate, Celebrate wins, Embrace challenges) DE&I We are committed to building an inclusive and diverse workplace where every voice is heard, every perspective is valued, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds to be part of our mission and contribute to our vibrant culture.
Jul 19, 2025
Full time
Moving your career forward Our CEO, Angus spotted that many vans on the roads are half full or empty at any given time and so AnyVan was born in 2009 to create the world's most efficient technology logistics platform and help halve the number of miles driven. We've achieved incredible milestones since then, including securing the largest funding round for a UK tech logistics company from Vitruvian Partners. Today, AnyVan is the largest and fastest-growing company in the logistics space, with big ambitions for the future. We're committed to moving that's miles better and have helped over 8 million customers across the UK, Ireland and Europe (France, Germany, Italy, Spain) and over 150,000 customers have rated us excellent on Trustpilot. By using innovative technology, we're transforming the moving experience, cutting costs and doing our part for the planet to make sure moving doesn't cost the earth. We've saved enough miles to travel 1,185 times around the world, reduce 8520 tonnes of carbon annually and are proud to be the only carbon neutral removals and delivery company in the UK We're looking for passionate individuals to join our talented team of approx. 300 AnyVanners in our London and Cape Town offices. If you're as driven as we are and want to be part of a forward-thinking company to make moving 'miles better' and moving your career forward at the same time - we'd love to hear from you! As part of our Routing and Optimisation team, you'll play a crucial role in helping us deliver industry-leading products and services to our customers and delivery partners, while also reducing our cost to fulfil and minimising environmental impact. What you'll be doing: Bring a strong commercial mindset and apply advanced scientific techniques, analytics, and statistics to solve high-impact decision problems. As a seasoned data or decision science practitioner, you'll design and develop scalable, innovative algorithms and analytical solutions with a clear focus on business value. Collaborate closely with the Head of Routing and Optimisation, as well as engineering and product leaders, to conceptualise and deliver end-to-end solutions using heuristics, machine learning, and optimisation techniques. Work alongside, guide, and mentor both senior and junior data scientists to develop production-ready solutions, contributing hands-on where needed to write and deploy high-quality code. Partner with product and tech stakeholders to bring these solutions to life, ensuring they are scalable, sustainable, and commercially effective. Define key KPIs for each solution and take responsibility for tracking their performance post-launch to ensure they deliver measurable impact. Through your technical leadership and commercial focus, you'll drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in Operations Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top-tier management consulting firms focused on logistics A commercial mindset - driven by business impact, not perfection. You find simple, scalable solutions that solve 80% of the problem quickly rather than chasing complex, unnecessary models Passion to drive end-to-end value creation - from shaping the problem to deploying usable solutions and measuring their impact Ability to work with ambiguity and bring clarity; you're comfortable creating structure where there is none Deep understanding of techniques such as mixed-integer programming, heuristics/metaheuristics, approximate algorithms, constraint programming, and machine learning (incl. deep learning) - and you know when not to use them Hands-on experience in domains such as procurement planning, pricing, revenue management, routing, and forecasting Strong SQL and programming ability (Python essential; Java/C++ a plus) Excellent communication skills (written and verbal) - you can explain complex ideas in simple terms, and push back on over-complication when needed Passion for data science, optimisation, and the logistics marketplace Working knowledge of agile methodologies and experience working in fast-moving cross-functional teams A bias to action - you value progress over perfection and can move quickly to deliver value Based in the UK, happy to commute to our Hammersmith office at least 3 days a week Perks of the job: A great base salary that reflects your value Take a Break: 25 days of holiday plus public holidays, Christmas Eve on us and Long Term Service perks capped at 30days Keeping you healthy: In house gym, the opportunity to join Vitality with a hole host of wellbeing benefits and medical cover and enhanced sick pay Prepare for the future: The People's Pension with 5% employee and 3% employer contributions Family leave: enhanced maternity pay Travel: We're 2 mins walk from the tube, partner with Octopus Electric Vehicles and Evans Cycle to Work scheme, and have showers and towels if you cycle! Keeping you refreshed: Enjoy an in-house barista and free breakfast every day Social Scene: Thursday drinks and regular social activities Celebrating Success: 1/4 performance awards with prizes and an annual performance awards - last years winner enjoyed a 4 day all expenses paid trip to the French alps! Skills Booster: Opportunity to join a disruptive Technology Leader and be part of a fast-growing, innovative company reshaping the industry Our company values are: Have fun, get it done (work hard play hard, satisfaction in results, do the right thing) Progress over perfection (Innovate and disrupt, Curious and adaptable, Work quick, learn quicker) One team thinking big (Collaborate and communicate, Celebrate wins, Embrace challenges) DE&I We are committed to building an inclusive and diverse workplace where every voice is heard, every perspective is valued, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds to be part of our mission and contribute to our vibrant culture.
The role: We are seeking a highly skilled Senior Data Scientist to join our team. Reporting into the Data Delivery Lead, you will be responsible for analysing and interpreting data from a variety of sources to support our clients decision-making processes. The Data team within Prevail underpins all our mission focused teams. No two days are the same, and the real-world problems that we seek to solve are complicated. Our ideal candidate will have exceptional analytical skills, with the ability to navigate through complex datasets to turn ambiguous requests into meaningful insights. These are the key things that you will be responsible for within the Senior Data Scientist role. There will be activities and tasks in addition to this list that are expected, but the majority of your time will be: Analysing and evaluating intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Utilise advanced analytical techniques and tools to assess the reliability, accuracy, and relevance of intelligence information. Develop and maintain databases, data models, and analytical frameworks to facilitate efficient data analysis and retrieval. Collaborate with intelligence and security professionals across the company to understand requirements and priorities. Prepare and deliver reports, briefings, and presentations to communicate analytical findings to stakeholders effectively. Monitor and assess emerging threats, developments, and geopolitical events to support intelligence assessments and forecasting. Collaborate with cross functional teams to advocate for high-quality data solutions. Mentor more junior members of the team You: Essential Criteria: Proven experience working as a Data Scientist in a relevant field Proficiency in data analysis, data mining, and statistical techniques. Detail-oriented and capable of working with large data sets and attention to accuracy and completeness. Proficiency utilising Python or R (5+ years' experience) Familiarity with conventional statistical models (linear/logistic regression, t-tests, ANOVA) Experience in collecting, organising, and analysing data from diverse sources. Strong analytical thinking, problem-solving, and critical reasoning skills. Excellent written and verbal communication skills, with the ability to convey complex information clearly and concisely. Ability to work independently and as part of a team, managing multiple priorities and meeting deadlines. Ability to attain a UK Security Clearance (5+ years residing in the UK) Highly desirable: Experienced in writing reports or academic articles, presenting at conferences, and visual data storytelling. Familiar with AWS, SQL and Tableau. A background in intelligence or quantitative social sciences. Proficient in experimental design principles. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and consultancy services to clients ranging from governments and multinational corporations to non-governmental organisations. These services are delivered predominantly across Europe, the Middle East and Africa. We pride ourselves on selecting interesting projects which we believe can genuinely make a difference. You will be joining the company at a time of continued growth, and will be required to support a wide variety of these projects across the whole company. What we offer here at Prevail: Competitive salary, salary sacrifice pension, access to onsite gym facilities, enhanced leave polices, and private healthcare after two years at Prevail.
Jul 19, 2025
Full time
The role: We are seeking a highly skilled Senior Data Scientist to join our team. Reporting into the Data Delivery Lead, you will be responsible for analysing and interpreting data from a variety of sources to support our clients decision-making processes. The Data team within Prevail underpins all our mission focused teams. No two days are the same, and the real-world problems that we seek to solve are complicated. Our ideal candidate will have exceptional analytical skills, with the ability to navigate through complex datasets to turn ambiguous requests into meaningful insights. These are the key things that you will be responsible for within the Senior Data Scientist role. There will be activities and tasks in addition to this list that are expected, but the majority of your time will be: Analysing and evaluating intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Utilise advanced analytical techniques and tools to assess the reliability, accuracy, and relevance of intelligence information. Develop and maintain databases, data models, and analytical frameworks to facilitate efficient data analysis and retrieval. Collaborate with intelligence and security professionals across the company to understand requirements and priorities. Prepare and deliver reports, briefings, and presentations to communicate analytical findings to stakeholders effectively. Monitor and assess emerging threats, developments, and geopolitical events to support intelligence assessments and forecasting. Collaborate with cross functional teams to advocate for high-quality data solutions. Mentor more junior members of the team You: Essential Criteria: Proven experience working as a Data Scientist in a relevant field Proficiency in data analysis, data mining, and statistical techniques. Detail-oriented and capable of working with large data sets and attention to accuracy and completeness. Proficiency utilising Python or R (5+ years' experience) Familiarity with conventional statistical models (linear/logistic regression, t-tests, ANOVA) Experience in collecting, organising, and analysing data from diverse sources. Strong analytical thinking, problem-solving, and critical reasoning skills. Excellent written and verbal communication skills, with the ability to convey complex information clearly and concisely. Ability to work independently and as part of a team, managing multiple priorities and meeting deadlines. Ability to attain a UK Security Clearance (5+ years residing in the UK) Highly desirable: Experienced in writing reports or academic articles, presenting at conferences, and visual data storytelling. Familiar with AWS, SQL and Tableau. A background in intelligence or quantitative social sciences. Proficient in experimental design principles. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and consultancy services to clients ranging from governments and multinational corporations to non-governmental organisations. These services are delivered predominantly across Europe, the Middle East and Africa. We pride ourselves on selecting interesting projects which we believe can genuinely make a difference. You will be joining the company at a time of continued growth, and will be required to support a wide variety of these projects across the whole company. What we offer here at Prevail: Competitive salary, salary sacrifice pension, access to onsite gym facilities, enhanced leave polices, and private healthcare after two years at Prevail.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. What you'll be doing: As a data scientist, fundamentally your role is to help customers solve their problems using data science and AI; this involves applying a variety of techniques, ranging from simple data analysis to designing and implementing bespoke machine learning algorithms. We have previously worked on a multitude of different technical solutions for our clients, using Bayesian hierarchical modelling to develop an early warning system for the NHS during the COVID-19 pandemic , modelling 3D point cloud data to identify and measure assets for Network Rail , and using NLP to identify topics in market research . Prior knowledge of these techniques is not a prerequisite as we are looking for both experienced candidates and those who want to learn. We anticipate that with our support, you could become an expert in one of these areas even if you don't yet have much hands-on experience. Additionally, your contribution won't be limited to your technical skills. Using practical and business sense, you will help our excellent commercial team build lasting relationships with our customers, shaping the direction of both current and future projects. As we are a growing business, we need people who take initiative. You will take on more responsibility from day one than you would expect in comparable roles elsewhere, whilst in turn benefitting from the support and mentorship of our more seasoned team members. Data scientists at Faculty take pride in: Solving problems with the best data-science techniques and the scientific method Communicating technical content at the right level both internally and to customers. Fostering a collaborative work environment, sharing knowledge, and bringing the best out of everyone in the team. Seeking out innovative ways to help Faculty grow, for example, by developing shared technical and non-technical resources. Who we are looking for: Experience from quantitative academic research (e.g. STEM PhD), professional data-science positions, or a combination of the two. Programming experience as evidenced by earlier work in data science, academic research or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe. The ability to reason mathematically and an understanding of common statistical tests and/or probability. Experience using common machine learning algorithms as evidenced by previous work or side projects, with the ability to think creatively when an innovative solution is necessary. Experience of manipulating data using the standard libraries for data science (e.g. NumPy, Pandas, Scikit-Learn or equivalents in other programming languages). An appreciation for the scientific method as applied to the commercial world; the ability to turn client requests into problems that can be solved using data science; resourcefulness in overcoming difficulties through creativity, commitment and collaboration; and an inquisitive and questioning mindset in evaluating the performance and impact of models upon deployment. An interest in working alongside our customers and to learn about the commercial aspects of the job. Effective verbal and written communication - you should be comfortable with presenting your work in front of customers. The ability to follow a project plan and stick to deadlines, as well as proactively solve problems that emerge. The following would be a bonus, but are by no means required: Prior commercial experience, particularly if this involved customer-facing work or project management. Research experience (PhD or Postdoc) as evidenced by academic publications and conference talks. Working knowledge of any of following ML domains: NLP, Bayesian inference, computer vision, deep learning, causal modelling, AI safety Experience creating web apps using e.g. Dash, Flask, React.js Familiarity with MLOps including deployment, monitoring and scalability tooling. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jul 19, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. What you'll be doing: As a data scientist, fundamentally your role is to help customers solve their problems using data science and AI; this involves applying a variety of techniques, ranging from simple data analysis to designing and implementing bespoke machine learning algorithms. We have previously worked on a multitude of different technical solutions for our clients, using Bayesian hierarchical modelling to develop an early warning system for the NHS during the COVID-19 pandemic , modelling 3D point cloud data to identify and measure assets for Network Rail , and using NLP to identify topics in market research . Prior knowledge of these techniques is not a prerequisite as we are looking for both experienced candidates and those who want to learn. We anticipate that with our support, you could become an expert in one of these areas even if you don't yet have much hands-on experience. Additionally, your contribution won't be limited to your technical skills. Using practical and business sense, you will help our excellent commercial team build lasting relationships with our customers, shaping the direction of both current and future projects. As we are a growing business, we need people who take initiative. You will take on more responsibility from day one than you would expect in comparable roles elsewhere, whilst in turn benefitting from the support and mentorship of our more seasoned team members. Data scientists at Faculty take pride in: Solving problems with the best data-science techniques and the scientific method Communicating technical content at the right level both internally and to customers. Fostering a collaborative work environment, sharing knowledge, and bringing the best out of everyone in the team. Seeking out innovative ways to help Faculty grow, for example, by developing shared technical and non-technical resources. Who we are looking for: Experience from quantitative academic research (e.g. STEM PhD), professional data-science positions, or a combination of the two. Programming experience as evidenced by earlier work in data science, academic research or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe. The ability to reason mathematically and an understanding of common statistical tests and/or probability. Experience using common machine learning algorithms as evidenced by previous work or side projects, with the ability to think creatively when an innovative solution is necessary. Experience of manipulating data using the standard libraries for data science (e.g. NumPy, Pandas, Scikit-Learn or equivalents in other programming languages). An appreciation for the scientific method as applied to the commercial world; the ability to turn client requests into problems that can be solved using data science; resourcefulness in overcoming difficulties through creativity, commitment and collaboration; and an inquisitive and questioning mindset in evaluating the performance and impact of models upon deployment. An interest in working alongside our customers and to learn about the commercial aspects of the job. Effective verbal and written communication - you should be comfortable with presenting your work in front of customers. The ability to follow a project plan and stick to deadlines, as well as proactively solve problems that emerge. The following would be a bonus, but are by no means required: Prior commercial experience, particularly if this involved customer-facing work or project management. Research experience (PhD or Postdoc) as evidenced by academic publications and conference talks. Working knowledge of any of following ML domains: NLP, Bayesian inference, computer vision, deep learning, causal modelling, AI safety Experience creating web apps using e.g. Dash, Flask, React.js Familiarity with MLOps including deployment, monitoring and scalability tooling. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Job Description: Note: You must have five years UK residency as a minimum to apply. We are looking for talented Scientists and Engineers with experience in research and collaboration to join us at Leonardo in Luton or Bristol. We are not expecting you to have domain knowledge of electronic warfare systems, or significant experience in engineering. What we are looking for are scientists and engineers looking to build their technical knowledge through training, team working, and one-to-one mentoring. Leonardo is a global leader in defence electronics and delivers mission-critical systems for situational awareness, electronic warfare and surveillance across land, sea and air. The Electronic Warfare and Major Air Programmes lines of business are uniquely positioned as one of the world's top developers of electronic surveillance and countermeasure systems as well as being a core member of the Global Combat Air Programme (GCAP), developing Tempest, the next generation fighter aircraft that will replace the RAF's Typhoon. Our Systems Engineers cover a wide variety of roles: Applied research: Early research looking into exploiting new technologies or concepts High-level design: Understanding the impact of design decisions on performance Low-level design: Detailed design, prototyping and optimisation of a particular solution using expertise within their technical domain As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable in a real system. We need talented scientists and engineers to take early concepts from a variety of sources and turn them into working solutions. You do not need a background in engineering to make a difference. Our System Engineers predominantly come from science backgrounds. Many of these people at Leonardo have PhDs/EngDs from a diverse range of research domains across STEM. We will support you in your technical and professional development whatever your background, and provide challenging technical work to allow you to excel. Our working environment is fast-paced but relaxed. We value the expertise of our engineers and work to ensure they have the autonomy and confidence to make decisions themselves or as a team. We put trust in all our engineers to ensure they remain in control of their work and future career prospects. We are recruiting for a number of roles from a variety of backgrounds and skillsets. Based upon your skills and foundation knowledge, we will assess where your knowledge and skills would best fit and discuss options with you. Due to the nature of our work, you must be capable of achieving a minimum of SC security clearance and will require access to caveated information such as UK eyes only. Please see the UK National Security Vetting site for more details. Some roles may require office-based working, based at Luton or Bristol. Typical work you might be involved in: Contribute or lead an early concept study investigating whether new types of algorithm could improve the detection of threats at range Support the development and implementation of data fusion across multiple sensor types Develop simulators used in supporting test and validation of processing solutions What we can offer you: Flexible working: We offer our employees the time and flexibility they need to enjoy a balanced life Continuous Learning: You'll be supported in ongoing personal development, including access to thousands of online courses free of charge via Coursera and LinkedIn Learning Annual leave: 25 days holiday plus eight bank holidays Pension scheme: Our award-winning pension scheme includes generous employer contribution Flexible benefits: Our company-funded approach to flexible benefits allows employees to make choices appropriate for them. Each employee has access to a wide choice of lifestyle, health and wellbeing options best-suited to their individual lifestyle goals Employee discount schemes: Access to everyday discounts with many high street and online retailers, restaurants and days out Family friendly policies Positive support for the Reserve Forces, including additional time off for Reservists What you will get: Advanced Technology: You will have the ability to contribute to the development of market-leading product development, providing advanced capability and protection to UK platforms Agile Systems Engineering: Apply and develop your skills in a fast-paced and dynamic agile development team EW Expertise: Leonardo has subject-matter experts with extensive and detailed knowledge of the EW domain, technology, performance, and operational capabilities, providing the latest advances in sensor technology and enabling our customers to keep pace with an ever-evolving EW environment Continuous Learning: Whether it's EW, leadership, or personal development, you'll be supported in your ongoing professional development though training and mentoring Teamwork: Working alongside like-minded engineers in a highly collaborative environment Connections: Leonardo has an expansive team of over 7,000 people at six major sites across the UK What we are looking for: You will have a PhD, EngD or other relevant research experience within a Science, Technology, Engineering and Maths subject. We would be interested in hearing from you if you also have: Experience of collaborating with others either within your research group or wider afield A drive for continuously improvement of your own skills and knowledge A methodical approach to solving large complex problems Experience in planning, leading and overseeing technical research or development tasks An appreciation of the Systems Engineering process Coding is central to our day to day work. You should have some experience of using a programming language to solve problems or develop models. Experience using Matlab and Simulink would be an advantage Primary Location: GB - Luton - Cap. Green 300 Contract Type: Permanent Hybrid Working: Hybrid
Jul 19, 2025
Full time
Job Description: Note: You must have five years UK residency as a minimum to apply. We are looking for talented Scientists and Engineers with experience in research and collaboration to join us at Leonardo in Luton or Bristol. We are not expecting you to have domain knowledge of electronic warfare systems, or significant experience in engineering. What we are looking for are scientists and engineers looking to build their technical knowledge through training, team working, and one-to-one mentoring. Leonardo is a global leader in defence electronics and delivers mission-critical systems for situational awareness, electronic warfare and surveillance across land, sea and air. The Electronic Warfare and Major Air Programmes lines of business are uniquely positioned as one of the world's top developers of electronic surveillance and countermeasure systems as well as being a core member of the Global Combat Air Programme (GCAP), developing Tempest, the next generation fighter aircraft that will replace the RAF's Typhoon. Our Systems Engineers cover a wide variety of roles: Applied research: Early research looking into exploiting new technologies or concepts High-level design: Understanding the impact of design decisions on performance Low-level design: Detailed design, prototyping and optimisation of a particular solution using expertise within their technical domain As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable in a real system. We need talented scientists and engineers to take early concepts from a variety of sources and turn them into working solutions. You do not need a background in engineering to make a difference. Our System Engineers predominantly come from science backgrounds. Many of these people at Leonardo have PhDs/EngDs from a diverse range of research domains across STEM. We will support you in your technical and professional development whatever your background, and provide challenging technical work to allow you to excel. Our working environment is fast-paced but relaxed. We value the expertise of our engineers and work to ensure they have the autonomy and confidence to make decisions themselves or as a team. We put trust in all our engineers to ensure they remain in control of their work and future career prospects. We are recruiting for a number of roles from a variety of backgrounds and skillsets. Based upon your skills and foundation knowledge, we will assess where your knowledge and skills would best fit and discuss options with you. Due to the nature of our work, you must be capable of achieving a minimum of SC security clearance and will require access to caveated information such as UK eyes only. Please see the UK National Security Vetting site for more details. Some roles may require office-based working, based at Luton or Bristol. Typical work you might be involved in: Contribute or lead an early concept study investigating whether new types of algorithm could improve the detection of threats at range Support the development and implementation of data fusion across multiple sensor types Develop simulators used in supporting test and validation of processing solutions What we can offer you: Flexible working: We offer our employees the time and flexibility they need to enjoy a balanced life Continuous Learning: You'll be supported in ongoing personal development, including access to thousands of online courses free of charge via Coursera and LinkedIn Learning Annual leave: 25 days holiday plus eight bank holidays Pension scheme: Our award-winning pension scheme includes generous employer contribution Flexible benefits: Our company-funded approach to flexible benefits allows employees to make choices appropriate for them. Each employee has access to a wide choice of lifestyle, health and wellbeing options best-suited to their individual lifestyle goals Employee discount schemes: Access to everyday discounts with many high street and online retailers, restaurants and days out Family friendly policies Positive support for the Reserve Forces, including additional time off for Reservists What you will get: Advanced Technology: You will have the ability to contribute to the development of market-leading product development, providing advanced capability and protection to UK platforms Agile Systems Engineering: Apply and develop your skills in a fast-paced and dynamic agile development team EW Expertise: Leonardo has subject-matter experts with extensive and detailed knowledge of the EW domain, technology, performance, and operational capabilities, providing the latest advances in sensor technology and enabling our customers to keep pace with an ever-evolving EW environment Continuous Learning: Whether it's EW, leadership, or personal development, you'll be supported in your ongoing professional development though training and mentoring Teamwork: Working alongside like-minded engineers in a highly collaborative environment Connections: Leonardo has an expansive team of over 7,000 people at six major sites across the UK What we are looking for: You will have a PhD, EngD or other relevant research experience within a Science, Technology, Engineering and Maths subject. We would be interested in hearing from you if you also have: Experience of collaborating with others either within your research group or wider afield A drive for continuously improvement of your own skills and knowledge A methodical approach to solving large complex problems Experience in planning, leading and overseeing technical research or development tasks An appreciation of the Systems Engineering process Coding is central to our day to day work. You should have some experience of using a programming language to solve problems or develop models. Experience using Matlab and Simulink would be an advantage Primary Location: GB - Luton - Cap. Green 300 Contract Type: Permanent Hybrid Working: Hybrid
