ZILO is focused on transforming global transfer agency by providing a single global solution that replaces legacy technology and systems. Our mission is to create sustainable value for firms and the customers they serve, all while putting people first. With a design-driven approach and a commitment to innovation, our team of experts has unified the full breadth of global transfer agency into a single, streamlined solution. At ZILO, we value collaboration, innovation, and continuous improvement. Our team of experienced professionals is dedicated to achieving our goal of being the market-leading solution in global transfer agency. If you are a motivated individual with a passion for technology and a desire to make a real impact in the financial services industry, we would love to hear from you. About this role We are seeking a skilled Data Engineer - Data Lakehouse to join our team. The ideal candidate should be experienced in designing and building data pipelines, performing ETL operations, and managing databases. The candidate will also need to have knowledge and experience in using AWS services for data processing, storage, and analysis. Responsibilities Design, build and maintain efficient and scalable data pipelines to support data processing and analysis. Develop and implement ETL processes to ensure data quality and integrity. Manage and optimize databases, including designing schema and indexing strategies, data partitioning and data archival. Work closely with data scientists and business analysts to understand data requirements and translate them into technical solutions. Collaborate with DevOps and IT teams to deploy, monitor and troubleshoot data systems. Develop and maintain documentation on data infrastructure and processes. Stay current with the latest data engineering technologies, tools and practices. Qualifications Bachelor's degree in computer science, engineering or related field. Minimum of 3 years of experience in data engineering roles. Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with big data technologies (e.g., Hadoop, Spark) is an advantage. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Benefits Enhanced leave - 38 days inclusive of 8 UK Public Holidays Private Health Care including family cover Life Assurance - 5x salary Flexible working - work from home and/or in our London Office Employee Assistance Program Company Pension (Salary Sacrifice options available) Access to training and development Buy and Sell holiday scheme The opportunity for "work from anywhere/global mobility"
Jul 05, 2025
Full time
ZILO is focused on transforming global transfer agency by providing a single global solution that replaces legacy technology and systems. Our mission is to create sustainable value for firms and the customers they serve, all while putting people first. With a design-driven approach and a commitment to innovation, our team of experts has unified the full breadth of global transfer agency into a single, streamlined solution. At ZILO, we value collaboration, innovation, and continuous improvement. Our team of experienced professionals is dedicated to achieving our goal of being the market-leading solution in global transfer agency. If you are a motivated individual with a passion for technology and a desire to make a real impact in the financial services industry, we would love to hear from you. About this role We are seeking a skilled Data Engineer - Data Lakehouse to join our team. The ideal candidate should be experienced in designing and building data pipelines, performing ETL operations, and managing databases. The candidate will also need to have knowledge and experience in using AWS services for data processing, storage, and analysis. Responsibilities Design, build and maintain efficient and scalable data pipelines to support data processing and analysis. Develop and implement ETL processes to ensure data quality and integrity. Manage and optimize databases, including designing schema and indexing strategies, data partitioning and data archival. Work closely with data scientists and business analysts to understand data requirements and translate them into technical solutions. Collaborate with DevOps and IT teams to deploy, monitor and troubleshoot data systems. Develop and maintain documentation on data infrastructure and processes. Stay current with the latest data engineering technologies, tools and practices. Qualifications Bachelor's degree in computer science, engineering or related field. Minimum of 3 years of experience in data engineering roles. Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with big data technologies (e.g., Hadoop, Spark) is an advantage. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Benefits Enhanced leave - 38 days inclusive of 8 UK Public Holidays Private Health Care including family cover Life Assurance - 5x salary Flexible working - work from home and/or in our London Office Employee Assistance Program Company Pension (Salary Sacrifice options available) Access to training and development Buy and Sell holiday scheme The opportunity for "work from anywhere/global mobility"
Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description Our Soil, Groundwater and Remediation (SGR) Services team are looking for enthusiastic Environmental Graduate Consultants in our Birmingham, Bristol, Glasgow, Leeds or Manchester offices from July 2025 onwards. About our Team At AECOM our Team has one of the largest environmental site investigation and assessment divisions in the UK&I part of a wider organisation with an unprecedented global footprint, serving clients in many sectors including property and development, oil and gas, industrial and manufacturing, major infrastructure/ transportation, water and the public sector (including local and national regulators). The team has a well-established network of specialists in the UK&I and around the world which enriches the prospects for graduates, allow the learning of advanced technology applications and contribute to our best practice and strong safety culture. Projects We work for leading UK and international clients on commissions of varying scale across all sectors, such as industrial, pharmaceutical, strategic land holders, ports, road and rail. Here's what you'll do: When a graduate starts with us, we pair them with an experienced member of the team who will guide and mentor them through their initial period working on live projects. You work as part of a team who will support you in your learning and development through our mentoring and graduate development programme. Key duties will include: Designing and undertaking desk studies, site investigations, risk assessments and remediation solutions including laboratory procurement for environmental analysis, data analysis, factual and interpretative report writing. You will coordinate field service/ laboratory subcontractors and fully supervise ground investigation works, collecting soil and groundwater samples/ data during assessment and remedial action activities at various sites in the UK and overseas. You will learn to compile and interpret field and analytical data into conceptual models to inform risk assessments for human health, ground/ surface water and ground gas/vapour and design mitigation measures/remediation solutions. You will be an advocate of best health and safety practice and make sure issues are addressed throughout the life of a project. You will learn how to implement AECOM's industry leading principles of environmental protection and sustainability (our role within the circular economy) within the context of the SGR Services business. Enjoy the Perks At AECOM, you'll enjoy a range of core and personalised benefits designed to support your future and well-being, customised to fit your lifestyle. Take advantage of career development opportunities, our flexible hybrid working model to ensure a work-life balance that suits your lifestyle, technical practice networks, AECOM University, and volunteering days. Here is what you will get from us! On the job support and learning When a graduate starts at AECOM, we pair them with a senior member of the team who will guide and mentor them through their initial period working on live projects and business development tasks, to support with any technical queries. Graduate Development Programme Our 2-year graduate ADVANCE programme is designed to help you build your career in AECOM. You will attend several instructor-led training sessions where you will meet and hear from people across the business and take part in a series of interactive activities to equip you with the knowledge and skills you need to succeed in your role. Alongside the instructor-led elements of the ADVANCE programme, you will also engage with an online curriculum via AECOM University and can join the ADV ANCE webinar series. We will provide you with all the support and tools you need to achieve your professional development ambitions, which may include Chartership with the relevant international professional institution. We have more than 750 graduates on our programmes across the UK and Ireland from more than 40 different disciplines, each making a tangible difference to the environment in which we live and work. See our digital early careers e-brochure here Professional Institutes you may work towards include the Chartered Institute for Water and Environmental Management (CIWEM), Geological Society of London (GSL) - to become a Chartered Geologist or Scientist, Institute for Environmental Sciences (IES) - to become a Chartered Environmentalist; Society of Brownfield Risk Assessment (SoBRA) to become an accredited Risk Assessor. For certain roles training may be given via Specialists in Land Condition (SiLC), The Site Management Safety Training Scheme and/or the UKPIA / SPA Petrol Retail Contractors Safety Passport. Qualifications Ready to push the limits of what's possible? Here's what we're looking for: MSc preferred but not essential. A degree in Environmental Engineering, Engineering Geology, Applied Geology, Exploration Geology, Environmental Geology, Physical Geography, Hydrology, Civil and Environmental Engineering, Process Engineering (to include modules on land contamination), Environmental Management, Environmental Science, Mineral Resources, Environmental Chemistry, Land Reclamation and Restoration, Environmental Assessment and Control - all must have contaminated land interest. You will also have the following: Knowledge: Practical application of geological and hydro-geological concepts• Chemistry Good Microsoft Office skills essential such as Word, Excel & PowerPoint You must have an interest in contaminated land Skills: Willingness and ability to work outdoors in sometimes challenging conditions Willingness and ability to travel and work away from home for periods of time (supported by the business) A full driving licence, or access to reliable transport, would be beneficial as the role will involve travel for site surveys possibly with equipment which could not be transported via public transport. Flexible with working hours and locations, frequent travel within 1 - 2 hrs drive of home office, and occasionally further afield. Ability to communicate effectively to internal and external clients, both verbally & in writing with the confidence to engage with a variety of people (clients, colleagues, stakeholders and sub-contractors alike) and the aptitude to rationally explain, explore and discuss technical issues and capture feedback Willingness and ability to learn and rapidly master new tasks and work under pressure, responding to changing project and programme demands Ability to structure & prioritise work effectively through close cooperation with the team as a whole Ability to work in a team and independently without losing initiative & focus Strong research and report writing (including web-based research) Strong numerate skills Self-starter, develops and delivers work under own initiative. Enthusiastic, hard-working, with ambition and drive Solid attention to detail and thorough approach to work Commercial awareness for business development, marketing, and proposal preparation. Preferred Qualifications: Field investigation experience Experience collecting groundwater data and samples Understanding of contaminated land assessment Understanding of field sampling and data review. Some experience of working in a corporate environment (within or outside of environmental consultancy) Fluency in other languages is an advantage Previous experience of working in a consultancy environment would be beneficial, including work placements or relevant voluntary experience. We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you! Additional Information Applicants are encouraged to apply as early as possible since CVs will be reviewed . click apply for full job details
Jul 05, 2025
Full time
Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description Our Soil, Groundwater and Remediation (SGR) Services team are looking for enthusiastic Environmental Graduate Consultants in our Birmingham, Bristol, Glasgow, Leeds or Manchester offices from July 2025 onwards. About our Team At AECOM our Team has one of the largest environmental site investigation and assessment divisions in the UK&I part of a wider organisation with an unprecedented global footprint, serving clients in many sectors including property and development, oil and gas, industrial and manufacturing, major infrastructure/ transportation, water and the public sector (including local and national regulators). The team has a well-established network of specialists in the UK&I and around the world which enriches the prospects for graduates, allow the learning of advanced technology applications and contribute to our best practice and strong safety culture. Projects We work for leading UK and international clients on commissions of varying scale across all sectors, such as industrial, pharmaceutical, strategic land holders, ports, road and rail. Here's what you'll do: When a graduate starts with us, we pair them with an experienced member of the team who will guide and mentor them through their initial period working on live projects. You work as part of a team who will support you in your learning and development through our mentoring and graduate development programme. Key duties will include: Designing and undertaking desk studies, site investigations, risk assessments and remediation solutions including laboratory procurement for environmental analysis, data analysis, factual and interpretative report writing. You will coordinate field service/ laboratory subcontractors and fully supervise ground investigation works, collecting soil and groundwater samples/ data during assessment and remedial action activities at various sites in the UK and overseas. You will learn to compile and interpret field and analytical data into conceptual models to inform risk assessments for human health, ground/ surface water and ground gas/vapour and design mitigation measures/remediation solutions. You will be an advocate of best health and safety practice and make sure issues are addressed throughout the life of a project. You will learn how to implement AECOM's industry leading principles of environmental protection and sustainability (our role within the circular economy) within the context of the SGR Services business. Enjoy the Perks At AECOM, you'll enjoy a range of core and personalised benefits designed to support your future and well-being, customised to fit your lifestyle. Take advantage of career development opportunities, our flexible hybrid working model to ensure a work-life balance that suits your lifestyle, technical practice networks, AECOM University, and volunteering days. Here is what you will get from us! On the job support and learning When a graduate starts at AECOM, we pair them with a senior member of the team who will guide and mentor them through their initial period working on live projects and business development tasks, to support with any technical queries. Graduate Development Programme Our 2-year graduate ADVANCE programme is designed to help you build your career in AECOM. You will attend several instructor-led training sessions where you will meet and hear from people across the business and take part in a series of interactive activities to equip you with the knowledge and skills you need to succeed in your role. Alongside the instructor-led elements of the ADVANCE programme, you will also engage with an online curriculum via AECOM University and can join the ADV ANCE webinar series. We will provide you with all the support and tools you need to achieve your professional development ambitions, which may include Chartership with the relevant international professional institution. We have more than 750 graduates on our programmes across the UK and Ireland from more than 40 different disciplines, each making a tangible difference to the environment in which we live and work. See our digital early careers e-brochure here Professional Institutes you may work towards include the Chartered Institute for Water and Environmental Management (CIWEM), Geological Society of London (GSL) - to become a Chartered Geologist or Scientist, Institute for Environmental Sciences (IES) - to become a Chartered Environmentalist; Society of Brownfield Risk Assessment (SoBRA) to become an accredited Risk Assessor. For certain roles training may be given via Specialists in Land Condition (SiLC), The Site Management Safety Training Scheme and/or the UKPIA / SPA Petrol Retail Contractors Safety Passport. Qualifications Ready to push the limits of what's possible? Here's what we're looking for: MSc preferred but not essential. A degree in Environmental Engineering, Engineering Geology, Applied Geology, Exploration Geology, Environmental Geology, Physical Geography, Hydrology, Civil and Environmental Engineering, Process Engineering (to include modules on land contamination), Environmental Management, Environmental Science, Mineral Resources, Environmental Chemistry, Land Reclamation and Restoration, Environmental Assessment and Control - all must have contaminated land interest. You will also have the following: Knowledge: Practical application of geological and hydro-geological concepts• Chemistry Good Microsoft Office skills essential such as Word, Excel & PowerPoint You must have an interest in contaminated land Skills: Willingness and ability to work outdoors in sometimes challenging conditions Willingness and ability to travel and work away from home for periods of time (supported by the business) A full driving licence, or access to reliable transport, would be beneficial as the role will involve travel for site surveys possibly with equipment which could not be transported via public transport. Flexible with working hours and locations, frequent travel within 1 - 2 hrs drive of home office, and occasionally further afield. Ability to communicate effectively to internal and external clients, both verbally & in writing with the confidence to engage with a variety of people (clients, colleagues, stakeholders and sub-contractors alike) and the aptitude to rationally explain, explore and discuss technical issues and capture feedback Willingness and ability to learn and rapidly master new tasks and work under pressure, responding to changing project and programme demands Ability to structure & prioritise work effectively through close cooperation with the team as a whole Ability to work in a team and independently without losing initiative & focus Strong research and report writing (including web-based research) Strong numerate skills Self-starter, develops and delivers work under own initiative. Enthusiastic, hard-working, with ambition and drive Solid attention to detail and thorough approach to work Commercial awareness for business development, marketing, and proposal preparation. Preferred Qualifications: Field investigation experience Experience collecting groundwater data and samples Understanding of contaminated land assessment Understanding of field sampling and data review. Some experience of working in a corporate environment (within or outside of environmental consultancy) Fluency in other languages is an advantage Previous experience of working in a consultancy environment would be beneficial, including work placements or relevant voluntary experience. We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at At AECOM, we value everyone's unique contributions and perspectives. If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you! Additional Information Applicants are encouraged to apply as early as possible since CVs will be reviewed . click apply for full job details
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast-paced, high-performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Cube are looking for an experienced Full Stack Application Developer to deliver features and platform improvements to our flagship SaaS product. The role: You will work alongside a team of senior developers, data engineers, technical product owners and data scientists. The main activities are: Collaborating with technical product owners on the technical design of features. Writing tests and clean code to implement features. Work on bugs, tech-debt reduction and performance/scalability tasks. Conduct code reviews. Collaborating with other developers, data engineers and data scientists on major advancements to our platform. Proposing architectural, technical and quality improvements, and driving their implementation. Requirements: Given what we expect the role to contribute, the minimum we require is a track record of success over a few years, working on an enterprise Saas in a complex data environment. In particular: Developing robust, enterprise-level application code. Applying SOLID principles. Agile coding practices. Behaviour-driven design. Test-driven development and test frameworks - both front end and server-side. C# in .NET services. Angular, although deep experience with React or a similar front-end framework is OK - what counts is that you have worked on complex, data-intensive applications (particular text). Microsoft Azure, preferably with AKS, Azure Functions, Event Hubs, Service Bus. SQL server or similar RDBMS. Elastic Search. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Jul 05, 2025
Full time
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast-paced, high-performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Cube are looking for an experienced Full Stack Application Developer to deliver features and platform improvements to our flagship SaaS product. The role: You will work alongside a team of senior developers, data engineers, technical product owners and data scientists. The main activities are: Collaborating with technical product owners on the technical design of features. Writing tests and clean code to implement features. Work on bugs, tech-debt reduction and performance/scalability tasks. Conduct code reviews. Collaborating with other developers, data engineers and data scientists on major advancements to our platform. Proposing architectural, technical and quality improvements, and driving their implementation. Requirements: Given what we expect the role to contribute, the minimum we require is a track record of success over a few years, working on an enterprise Saas in a complex data environment. In particular: Developing robust, enterprise-level application code. Applying SOLID principles. Agile coding practices. Behaviour-driven design. Test-driven development and test frameworks - both front end and server-side. C# in .NET services. Angular, although deep experience with React or a similar front-end framework is OK - what counts is that you have worked on complex, data-intensive applications (particular text). Microsoft Azure, preferably with AKS, Azure Functions, Event Hubs, Service Bus. SQL server or similar RDBMS. Elastic Search. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced Senior Credit Strategy Manager with a strong analytical background, to lead the team responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical role include: Monitoring credit performance on aggregate and by segment. Proactively driving corrective action where required and enhancing the monitoring framework. Providing a clear summary of credit loss rates, and credit risks, to the Risk Committee. Supporting the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work conducted by your team to maximise delivery. Building the capabilities of your team with a strong focus on coaching and professional development. The team: You'll join the Credit Risk team, whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from £80,000 to £90,000 for this role, but we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we look to hire smart, passionate, humble individuals with a growth mindset. We prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally.
Jul 05, 2025
Full time
The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced Senior Credit Strategy Manager with a strong analytical background, to lead the team responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical role include: Monitoring credit performance on aggregate and by segment. Proactively driving corrective action where required and enhancing the monitoring framework. Providing a clear summary of credit loss rates, and credit risks, to the Risk Committee. Supporting the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work conducted by your team to maximise delivery. Building the capabilities of your team with a strong focus on coaching and professional development. The team: You'll join the Credit Risk team, whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from £80,000 to £90,000 for this role, but we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we look to hire smart, passionate, humble individuals with a growth mindset. We prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally.
About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal workflows and enhance user experiences. Advanced Technology Integration: Collaborate on projects that leverage emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross-functional teams and articulate technical concepts to non-technical stakeholders. Proactivity & Continuous Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi-Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi-agent systems to enhance NLP capabilities and automate complex workflows. Nice to have: Experience with knowledge graphs like Neo4j Experience in optimising graph database performance and ensuring the scalability of graph-based solutions. Experience with LangGraph for Agentic Systems Most importantly, if you're someone with a can-do attitude who is willing to get their hands dirty to help us exceed our wildest expectations, then please do not hesitate to apply. What we offer Competitive Salary We offer a highly competitive salary that reflects your skills, experience, and contributions. Impact & Growth Join a fast-growing startup where your ideas matter; experiment, innovate, and see your work come to life. High-Performance Culture Work in a truly meritocratic environment alongside ambitious, driven professionals who push each other to excel. Prestigious Partnerships Collaborate with some of the world's top law firms, financial institutions, and multinational corporations. Prime London Location & Hybrid Flexibility Enjoy a vibrant office in the heart of Aldgate with the option to work in a hybrid environment. We tend to come into the office 2-3 times a week, although you can come in more! Ongoing Learning & Development Access top-tier training, mentorship, and continuous support to advance your career. Time Off Enjoy 25 days of holiday per year, plus UK bank holidays, to recharge and unwind. Pension Plan Secure your future with our competitive pension scheme. Private Healthcare Access to Vitality healthcare, including dental and optical. Flexible Working Work in a way that suits your lifestyle, with the freedom to balance professional and personal priorities. Enhanced Parental Leave We support working parents with generous parental leave policies that go far beyond statutory requirements. Cycle to Work Scheme Save on a new bike and accessories while promoting a healthier, more sustainable commute. Workplace Nursery Scheme Saving working parents lots of money through our salary sacrifice scheme! Top-Quality Equipment Get the tools you need to perform at your best, from cutting-edge tech to ergonomic office setups. About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely is a fast-growing, venture-backed company transforming the $900bn global legal services market. Our customers include some of the world's top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). Data Privacy Notice By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ('Definely') may collect, process, and store your personal data as part of our recruitment process. We will use the information you provide to assess your qualifications for the role you are applying for and to communicate with you regarding your application.Your personal data will be stored for up to 12 months, after which it will be securely deleted unless we have another lawful basis to retain it. You have the right to access, correct, or request the deletion of your data at any time.For more details on how we handle your personal data and your rights, please send us an email to and we will send your our privacy policy. If you have any concerns about how your data is being processed, please do not hesitate to contact us.
Jul 04, 2025
Full time
About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal workflows and enhance user experiences. Advanced Technology Integration: Collaborate on projects that leverage emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross-functional teams and articulate technical concepts to non-technical stakeholders. Proactivity & Continuous Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi-Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi-agent systems to enhance NLP capabilities and automate complex workflows. Nice to have: Experience with knowledge graphs like Neo4j Experience in optimising graph database performance and ensuring the scalability of graph-based solutions. Experience with LangGraph for Agentic Systems Most importantly, if you're someone with a can-do attitude who is willing to get their hands dirty to help us exceed our wildest expectations, then please do not hesitate to apply. What we offer Competitive Salary We offer a highly competitive salary that reflects your skills, experience, and contributions. Impact & Growth Join a fast-growing startup where your ideas matter; experiment, innovate, and see your work come to life. High-Performance Culture Work in a truly meritocratic environment alongside ambitious, driven professionals who push each other to excel. Prestigious Partnerships Collaborate with some of the world's top law firms, financial institutions, and multinational corporations. Prime London Location & Hybrid Flexibility Enjoy a vibrant office in the heart of Aldgate with the option to work in a hybrid environment. We tend to come into the office 2-3 times a week, although you can come in more! Ongoing Learning & Development Access top-tier training, mentorship, and continuous support to advance your career. Time Off Enjoy 25 days of holiday per year, plus UK bank holidays, to recharge and unwind. Pension Plan Secure your future with our competitive pension scheme. Private Healthcare Access to Vitality healthcare, including dental and optical. Flexible Working Work in a way that suits your lifestyle, with the freedom to balance professional and personal priorities. Enhanced Parental Leave We support working parents with generous parental leave policies that go far beyond statutory requirements. Cycle to Work Scheme Save on a new bike and accessories while promoting a healthier, more sustainable commute. Workplace Nursery Scheme Saving working parents lots of money through our salary sacrifice scheme! Top-Quality Equipment Get the tools you need to perform at your best, from cutting-edge tech to ergonomic office setups. About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely is a fast-growing, venture-backed company transforming the $900bn global legal services market. Our customers include some of the world's top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). Data Privacy Notice By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ('Definely') may collect, process, and store your personal data as part of our recruitment process. We will use the information you provide to assess your qualifications for the role you are applying for and to communicate with you regarding your application.Your personal data will be stored for up to 12 months, after which it will be securely deleted unless we have another lawful basis to retain it. You have the right to access, correct, or request the deletion of your data at any time.For more details on how we handle your personal data and your rights, please send us an email to and we will send your our privacy policy. If you have any concerns about how your data is being processed, please do not hesitate to contact us.
Data Scientist at PwC (Sponsorship Available) PwC is seeking a talented and forward-thinking Data Scientist to join its growing team in the UK. This is a fantastic opportunity for candidates with strong analytical expertise and programming skills, particularly in Python for API and model development, to contribute to innovative, data-driven solutions at one of the world's leading professional services firms. As a Data Scientist at PwC, the successful applicant will develop and deploy predictive models, design scalable APIs, and support strategic decision-making across various industries. The role requires a deep understanding of data science methodologies and the ability to work collaboratively across technical and non-technical teams. Visa sponsorship is available, making this an excellent opportunity for international professionals already in the UK or seeking relocation. If you're passionate about unlocking the power of data to solve complex problems and want to be part of a dynamic team shaping the future of business through technology and insight-PwC welcomes your application. About PwC PwC is a global professional services firm dedicated to building trust in society and solving important problems. This commitment influences the services it offers and the decisions it makes. PwC prioritizes genuine leadership and long-term impact over size or short-term revenue growth. Founded in 1849 by Samuel Price, PwC has grown into a leading professional services firm with a diverse community of 370,000 professionals across 149 countries. The firm continuously evolves, embracing innovation and transformation while maintaining trust and quality at its core. PwC remains a human-led, tech-powered business, ready to help clients navigate future challenges. Position: Data Scientist Job Type: Full-Time Location: London, Birmingham, and Manchester About the Role Internal Firm Services Technology Specialism IFS - Internal Firm Services - Other Senior Associate Job Description & Summary The AI and Emerging Technologies team develops AI solutions to solve complex problems for PwC and its clients. Our team works at the forefront of AI and ML in professional services, across industries such as healthcare, financial services, and more. We seek motivated, self-starting individuals with 2+ years of data science experience, comfortable with ambiguity and working in cross-functional environments, across our offices in Manchester, Leeds, Birmingham, and London. Duties What your days will look like: Solution Development: Design, develop, and scale AI and NLP solutions addressing specific business needs, understanding requirements, assessing feasibility, selecting techniques, and creating scalable solutions. AI Strategy: Contribute to AI strategy by identifying opportunities for leveraging AI to innovate, improve processes, and support decision-making, including staying updated on AI trends and conducting market research. Model Development and Evaluation: Develop, deploy, and evaluate AI models, choosing appropriate algorithms, optimizing performance, and ensuring models meet accuracy and reliability standards. Collaboration and Stakeholder Management: Work with business stakeholders and technical teams to understand needs, gather requirements, and align AI solutions with organizational goals. Prototype, develop, and deploy machine learning applications into production. Contribute to business-facing AI applications and ensure high-quality code contributions. Validate and test production models. Present findings to stakeholders via reports and presentations. Requirements This role is for you if: Proficiency in Python for API and model development, including frameworks like Sklearn, Pytorch, and TensorFlow. Understanding of machine learning techniques. Experience with data manipulation libraries (e.g., Pandas, Spark, SQL). Experience with version control (Git). Cloud experience (Azure, GCP, AWS). Additional desirable skills include: Modeling experience in industry-relevant use cases. Familiarity with MLOps environments. Experience with simulation and optimization techniques. What you'll receive from us: We offer benefits designed to support and recognize your contributions, including flexible working arrangements, private medical cover, virtual GP access, volunteering days, and more. Education: Degrees/Field of Study (not specified) Certifications: Not specified Required Skills: Accepting Feedback, Active Listening, Analytical Thinking, Communication, Computer Programming, Creativity, Embracing Change, Emotional Regulation, Inclusion, IT Infrastructure, Learning Agility, etc. (additional skills listed in original) Desired Languages: Not specified Travel Requirements: Not specified Visa Sponsorship: Yes Government Clearance: No Required Documents CV/Resume Application Process If you're qualified and seeking sponsorship, APPLY NOW!
Jul 04, 2025
Full time
Data Scientist at PwC (Sponsorship Available) PwC is seeking a talented and forward-thinking Data Scientist to join its growing team in the UK. This is a fantastic opportunity for candidates with strong analytical expertise and programming skills, particularly in Python for API and model development, to contribute to innovative, data-driven solutions at one of the world's leading professional services firms. As a Data Scientist at PwC, the successful applicant will develop and deploy predictive models, design scalable APIs, and support strategic decision-making across various industries. The role requires a deep understanding of data science methodologies and the ability to work collaboratively across technical and non-technical teams. Visa sponsorship is available, making this an excellent opportunity for international professionals already in the UK or seeking relocation. If you're passionate about unlocking the power of data to solve complex problems and want to be part of a dynamic team shaping the future of business through technology and insight-PwC welcomes your application. About PwC PwC is a global professional services firm dedicated to building trust in society and solving important problems. This commitment influences the services it offers and the decisions it makes. PwC prioritizes genuine leadership and long-term impact over size or short-term revenue growth. Founded in 1849 by Samuel Price, PwC has grown into a leading professional services firm with a diverse community of 370,000 professionals across 149 countries. The firm continuously evolves, embracing innovation and transformation while maintaining trust and quality at its core. PwC remains a human-led, tech-powered business, ready to help clients navigate future challenges. Position: Data Scientist Job Type: Full-Time Location: London, Birmingham, and Manchester About the Role Internal Firm Services Technology Specialism IFS - Internal Firm Services - Other Senior Associate Job Description & Summary The AI and Emerging Technologies team develops AI solutions to solve complex problems for PwC and its clients. Our team works at the forefront of AI and ML in professional services, across industries such as healthcare, financial services, and more. We seek motivated, self-starting individuals with 2+ years of data science experience, comfortable with ambiguity and working in cross-functional environments, across our offices in Manchester, Leeds, Birmingham, and London. Duties What your days will look like: Solution Development: Design, develop, and scale AI and NLP solutions addressing specific business needs, understanding requirements, assessing feasibility, selecting techniques, and creating scalable solutions. AI Strategy: Contribute to AI strategy by identifying opportunities for leveraging AI to innovate, improve processes, and support decision-making, including staying updated on AI trends and conducting market research. Model Development and Evaluation: Develop, deploy, and evaluate AI models, choosing appropriate algorithms, optimizing performance, and ensuring models meet accuracy and reliability standards. Collaboration and Stakeholder Management: Work with business stakeholders and technical teams to understand needs, gather requirements, and align AI solutions with organizational goals. Prototype, develop, and deploy machine learning applications into production. Contribute to business-facing AI applications and ensure high-quality code contributions. Validate and test production models. Present findings to stakeholders via reports and presentations. Requirements This role is for you if: Proficiency in Python for API and model development, including frameworks like Sklearn, Pytorch, and TensorFlow. Understanding of machine learning techniques. Experience with data manipulation libraries (e.g., Pandas, Spark, SQL). Experience with version control (Git). Cloud experience (Azure, GCP, AWS). Additional desirable skills include: Modeling experience in industry-relevant use cases. Familiarity with MLOps environments. Experience with simulation and optimization techniques. What you'll receive from us: We offer benefits designed to support and recognize your contributions, including flexible working arrangements, private medical cover, virtual GP access, volunteering days, and more. Education: Degrees/Field of Study (not specified) Certifications: Not specified Required Skills: Accepting Feedback, Active Listening, Analytical Thinking, Communication, Computer Programming, Creativity, Embracing Change, Emotional Regulation, Inclusion, IT Infrastructure, Learning Agility, etc. (additional skills listed in original) Desired Languages: Not specified Travel Requirements: Not specified Visa Sponsorship: Yes Government Clearance: No Required Documents CV/Resume Application Process If you're qualified and seeking sponsorship, APPLY NOW!
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across fifteen offices in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for an Experienced CRM Data Scientist to join our team in London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of tensorflow / pytorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with us. Stay Healthy: additional10 sick leave days per year, no doctor's note required. Hybrid work schedule: 60% work from the office and 40% work from home per quarter (during your first 3 months, you'll be in the office full-time). Benefits & Perks: Monthly meal allowance. Gym allowance. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Support for New Parents: - 52 weeks of maternity leave, with 21 weeks being fully paid. - 4 weeks of paternity leave, plus the flexibility to work from home full time until your child is 13 weeks old. At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Jul 04, 2025
Full time
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across fifteen offices in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for an Experienced CRM Data Scientist to join our team in London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of tensorflow / pytorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with us. Stay Healthy: additional10 sick leave days per year, no doctor's note required. Hybrid work schedule: 60% work from the office and 40% work from home per quarter (during your first 3 months, you'll be in the office full-time). Benefits & Perks: Monthly meal allowance. Gym allowance. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Support for New Parents: - 52 weeks of maternity leave, with 21 weeks being fully paid. - 4 weeks of paternity leave, plus the flexibility to work from home full time until your child is 13 weeks old. At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Job ID: AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon 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 AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools. 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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. Posted: April 3, 2024 (Updated 4 days ago)
Jul 04, 2025
Full time
Job ID: AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon 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 AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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 in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools. 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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. Posted: April 3, 2024 (Updated 4 days ago)
About the Role: Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients. Lead data science product development start to end from PoC to full productization. Actively research, explore and identify the latest relevant techniques. Identify opportunities for innovation across the Market Intelligence division. Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics / Data Science / Machine Learning / Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and SQL. Experience using Language Models to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets and distributed computing. Good understanding of mathematical foundations of Machine Learning models. Able to translate business problems into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs. Econometrics / Financial Engineering background. Time series modelling. Cloud (AWS, GCP, Azure). Experience with model visualization and explainability. About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Our Values: Integrity, Discovery, Partnership. Benefits: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Inclusive Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision.
Jul 04, 2025
Full time
About the Role: Grade Level (for internal use): 10 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients. Lead data science product development start to end from PoC to full productization. Actively research, explore and identify the latest relevant techniques. Identify opportunities for innovation across the Market Intelligence division. Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics / Data Science / Machine Learning / Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and SQL. Experience using Language Models to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets and distributed computing. Good understanding of mathematical foundations of Machine Learning models. Able to translate business problems into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs. Econometrics / Financial Engineering background. Time series modelling. Cloud (AWS, GCP, Azure). Experience with model visualization and explainability. About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Our Values: Integrity, Discovery, Partnership. Benefits: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. Inclusive Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision.
We are looking for a highly skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow your own path. You'll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit. Requirements Software Engineering: • Proficiency in programming languages used in ML, such as Python/Java. • Knowledge of software development best practices and methodologies. • Experience with version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management. • Strong experience deploying and productionizing ML models. • Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. • Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). What We Offer Culture of Caring: At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and Development: We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & Meaningful Work: GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and Flexibility: We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-Trust Organization: We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Apply Now First name Last name Email Phone Gender The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive. Select Country City Message Upload Resume / Share LinkedIn Profile Drag and drop your file here or click here to upload. Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB. Alternately you can include your Linkedin profile. I want to be considered for future open positions within the GlobalLogic group. Your data will be kept in GlobalLogic's database for 3 years. You can withdraw your consent at any time by contacting . You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice.
Jul 04, 2025
Full time
We are looking for a highly skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow your own path. You'll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit. Requirements Software Engineering: • Proficiency in programming languages used in ML, such as Python/Java. • Knowledge of software development best practices and methodologies. • Experience with version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management. • Strong experience deploying and productionizing ML models. • Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. • Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). What We Offer Culture of Caring: At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and Development: We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & Meaningful Work: GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and Flexibility: We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-Trust Organization: We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Apply Now First name Last name Email Phone Gender The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive. Select Country City Message Upload Resume / Share LinkedIn Profile Drag and drop your file here or click here to upload. Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB. Alternately you can include your Linkedin profile. I want to be considered for future open positions within the GlobalLogic group. Your data will be kept in GlobalLogic's database for 3 years. You can withdraw your consent at any time by contacting . You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 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. About the Fellowship Artificial Intelligence is the most important technology of our age, but it is only valuable when it is applied in the real world - enhancing products, improving services, and saving lives. Since 2014, Faculty has helped 400+ PhD graduates, post-doctoral researchers, masters and experienced software engineers transition into a career in data science through our fellowship programme. The Faculty Fellowship programme helps academics become highly-skilled data scientists and machine learning engineers, transitioning successfully into careers and industries that are ready to benefit from artificial intelligence. After two weeks of intensive lectures and workshops at Faculty, wherein fellows will learn how to apply their technical knowledge towards the application of data science, fellows are paired with project companies for a seven-week data science project, during which fellows are paid the London Living Wage. The finale of the fellowship is Demo Day. Fellows have the opportunity to present their hard work to an audience of 100+ guests. The event is a great chance to network with hiring managers and influential individuals from a wide range of businesses from London, the UK and Europe. After completing the Faculty Fellowship, our alumni have gone on to work for many leading companies; from tech giants like Google, Microsoft and Meta, to the fastest growing startups like PhysicsX and Orbital Witness, to established FTSE 100 companies such as AstraZeneca and Tesco to name a few. Requirements You must have the right to work full-time in the UK. Visit to find out more. Unfortunately, we cannot sponsor this role , so please only apply if you have the right to work in the UK full-time. If this is on the basis of a visa, please provide details of your situation in your application. In general, successful candidates meet the following criteria: A finished PhD or Master's in a STEM subject with some data science/machine learning experience. A high level of mathematical competence. The ability to code or have programming experience, especially in Python. Some experience with theoretical concepts of statistical learning (e.g. hypothesis testing, Bayesian Inference, Regression, SVM, Random Forests, Neural Networks, Natural Language Processing, optimisation). Experience with some coding libraries frequently used in data science. The ability to communicate effectively. Experience composing and following a project plan/sticking to self-imposed deadlines. Timelines Please submit your application no later than Tuesday 1st July 2025 at 17:00 (GMT) . Early submissions have a significant advantage as we have more time to review them. The coding test will take place at the beginning of July 2025 . Candidates will be notified about the coding test via email. The interviews will take place in late July to mid August 2025 . We will interview candidates via Google Meet. Candidates will be notified about the interviews by email. Regardless of the application outcome, you will be notified by end of August 2025 latest. The programme runs from Monday 6th October to Friday 5th December 2025 (full-time, Monday to Friday). Please note you will need to be able to work in London for the duration of the programme. Unfortunately, Faculty does not provide accommodation . Fellowship Benefits Fellows are paid London Living Wage for the duration of the programme (ie. the full nine weeks). The two weeks of training at the beginning of the fellowship are free of charge to you. After the programme, the fellows are welcome to join our free online community where all the fellowship alumni discuss data science news, techniques, conferences and much more. Faculty provides career support to the graduated fellows - once you are part of our "professional network", we will be delighted to keep in touch and help you succeed in your data science career. 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 04, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 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. About the Fellowship Artificial Intelligence is the most important technology of our age, but it is only valuable when it is applied in the real world - enhancing products, improving services, and saving lives. Since 2014, Faculty has helped 400+ PhD graduates, post-doctoral researchers, masters and experienced software engineers transition into a career in data science through our fellowship programme. The Faculty Fellowship programme helps academics become highly-skilled data scientists and machine learning engineers, transitioning successfully into careers and industries that are ready to benefit from artificial intelligence. After two weeks of intensive lectures and workshops at Faculty, wherein fellows will learn how to apply their technical knowledge towards the application of data science, fellows are paired with project companies for a seven-week data science project, during which fellows are paid the London Living Wage. The finale of the fellowship is Demo Day. Fellows have the opportunity to present their hard work to an audience of 100+ guests. The event is a great chance to network with hiring managers and influential individuals from a wide range of businesses from London, the UK and Europe. After completing the Faculty Fellowship, our alumni have gone on to work for many leading companies; from tech giants like Google, Microsoft and Meta, to the fastest growing startups like PhysicsX and Orbital Witness, to established FTSE 100 companies such as AstraZeneca and Tesco to name a few. Requirements You must have the right to work full-time in the UK. Visit to find out more. Unfortunately, we cannot sponsor this role , so please only apply if you have the right to work in the UK full-time. If this is on the basis of a visa, please provide details of your situation in your application. In general, successful candidates meet the following criteria: A finished PhD or Master's in a STEM subject with some data science/machine learning experience. A high level of mathematical competence. The ability to code or have programming experience, especially in Python. Some experience with theoretical concepts of statistical learning (e.g. hypothesis testing, Bayesian Inference, Regression, SVM, Random Forests, Neural Networks, Natural Language Processing, optimisation). Experience with some coding libraries frequently used in data science. The ability to communicate effectively. Experience composing and following a project plan/sticking to self-imposed deadlines. Timelines Please submit your application no later than Tuesday 1st July 2025 at 17:00 (GMT) . Early submissions have a significant advantage as we have more time to review them. The coding test will take place at the beginning of July 2025 . Candidates will be notified about the coding test via email. The interviews will take place in late July to mid August 2025 . We will interview candidates via Google Meet. Candidates will be notified about the interviews by email. Regardless of the application outcome, you will be notified by end of August 2025 latest. The programme runs from Monday 6th October to Friday 5th December 2025 (full-time, Monday to Friday). Please note you will need to be able to work in London for the duration of the programme. Unfortunately, Faculty does not provide accommodation . Fellowship Benefits Fellows are paid London Living Wage for the duration of the programme (ie. the full nine weeks). The two weeks of training at the beginning of the fellowship are free of charge to you. After the programme, the fellows are welcome to join our free online community where all the fellowship alumni discuss data science news, techniques, conferences and much more. Faculty provides career support to the graduated fellows - once you are part of our "professional network", we will be delighted to keep in touch and help you succeed in your data science career. 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.
ROYAL COLLEGE OF PATHOLOGISTS
Tower Hamlets, London
About the College The Royal College of Pathologists is a professional membership organisation with charitable status concerned with all matters relating to the science and practice of pathology. It is a body of its Fellows, Diplomates, Affiliates and trainees, supported by the staff who are based at the College's London offices. The College is a charity with over 13000 members worldwide. The majority of members are doctors and scientists working in hospitals and universities in the UK. The College oversees the training of pathologists and scientists working in 17 different specialties, which include cellular pathology, haematology, clinical biochemistry and medical microbiology. Although some pathologists work in laboratories, many work directly with patients in hospitals and the community. Together, they are involved in the majority of all diagnoses and play an important role in disease prevention, treatment, and monitoring. If you have ever had a blood test, cervical smear or tissue biopsy, a pathologist will have been involved in your care. Main Purpose The Royal College of Pathologists is seeking a Service Desk Manager to lead the IT Service Desk and operational management of the IT function. The post holder will have a proven track record of leading a team of Service Desk Analyst to provide support for the College's IT and AV technology transformation. The role will be responsible for overseeing the day to day support of the IT and AV services across the RCPath. Reporting to the Head of IT, the Service Desk Manager is a highly visible and leading role within the IT Team and will work closely with all departments and the Senior Management Team. The following are some of the key requirements for the role: To lead the support of college-wide data and business applications. This includes Microsoft 365, Open Engage (and the new Dynamics 365 replacement) and associated interfaces to the College websites, LEPT (Learning Environment for Pathology Trainees) and other business application services. To ensure that the IT supporting services (IT & Audio Visual) are operational on a 24x7, 365-day basis. To manage the continual service improvement for the support of all business systems and associated processes. To support College users and events in the use of business applications and Audio Visual equipment, including identifying and supporting training for users (as required). To support the management and delivery of projects according to the College's ongoing development plans. To manage an accurate log of all college IT and AV (Audio Visual) Inventory (hardware and software) in a central database (SolarWinds) and ensure that all stock items are kept in a clean, efficient, organised and tidy location. To design, deliver and maintain controls and service processes aligned to industry standards, based on the ITIL Service Management processes. To analyse, interpret highly complex information as part of major Incident reviews based upon a variety of volatile information sources and produce concise, accurate root cause analysis reports to ensure the team continue to learn from such incidents and avoid re-occurrence. To contribute to the development and implementation of a strategy for the on-going support and development of the business-critical IT infrastructure and security. To support and update the IT Risk register, identifying risks and issues in own area of work. The Royal College of Pathologists understands the value and strength that diversity brings and we are proud to be an organisation of members from a wide range of backgrounds. We are keen to encourage and enable more people of all identities and from all backgrounds to become involved in the College. First round interviews currently scheduled from w/c 11 August 2025 If you would like to apply, please follow the link and click on the apply button.
Jul 04, 2025
Full time
About the College The Royal College of Pathologists is a professional membership organisation with charitable status concerned with all matters relating to the science and practice of pathology. It is a body of its Fellows, Diplomates, Affiliates and trainees, supported by the staff who are based at the College's London offices. The College is a charity with over 13000 members worldwide. The majority of members are doctors and scientists working in hospitals and universities in the UK. The College oversees the training of pathologists and scientists working in 17 different specialties, which include cellular pathology, haematology, clinical biochemistry and medical microbiology. Although some pathologists work in laboratories, many work directly with patients in hospitals and the community. Together, they are involved in the majority of all diagnoses and play an important role in disease prevention, treatment, and monitoring. If you have ever had a blood test, cervical smear or tissue biopsy, a pathologist will have been involved in your care. Main Purpose The Royal College of Pathologists is seeking a Service Desk Manager to lead the IT Service Desk and operational management of the IT function. The post holder will have a proven track record of leading a team of Service Desk Analyst to provide support for the College's IT and AV technology transformation. The role will be responsible for overseeing the day to day support of the IT and AV services across the RCPath. Reporting to the Head of IT, the Service Desk Manager is a highly visible and leading role within the IT Team and will work closely with all departments and the Senior Management Team. The following are some of the key requirements for the role: To lead the support of college-wide data and business applications. This includes Microsoft 365, Open Engage (and the new Dynamics 365 replacement) and associated interfaces to the College websites, LEPT (Learning Environment for Pathology Trainees) and other business application services. To ensure that the IT supporting services (IT & Audio Visual) are operational on a 24x7, 365-day basis. To manage the continual service improvement for the support of all business systems and associated processes. To support College users and events in the use of business applications and Audio Visual equipment, including identifying and supporting training for users (as required). To support the management and delivery of projects according to the College's ongoing development plans. To manage an accurate log of all college IT and AV (Audio Visual) Inventory (hardware and software) in a central database (SolarWinds) and ensure that all stock items are kept in a clean, efficient, organised and tidy location. To design, deliver and maintain controls and service processes aligned to industry standards, based on the ITIL Service Management processes. To analyse, interpret highly complex information as part of major Incident reviews based upon a variety of volatile information sources and produce concise, accurate root cause analysis reports to ensure the team continue to learn from such incidents and avoid re-occurrence. To contribute to the development and implementation of a strategy for the on-going support and development of the business-critical IT infrastructure and security. To support and update the IT Risk register, identifying risks and issues in own area of work. The Royal College of Pathologists understands the value and strength that diversity brings and we are proud to be an organisation of members from a wide range of backgrounds. We are keen to encourage and enable more people of all identities and from all backgrounds to become involved in the College. First round interviews currently scheduled from w/c 11 August 2025 If you would like to apply, please follow the link and click on the apply button.
Business Intelligence Farnborough 27.06.2025 URL of this page was copied to paste buffer Data Analyst INNOVATION IS IMAGINING WHAT NOONE ELSE CAN. SHARE YOUR PASSION. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together. BMW Group Financial Services UK is looking for a Data Analyst. This role is based at the Summit ONE Campus in Farnborough. What awaits you? Analyse data from transactional systems to understand the generation and transformation of data, and its relationship to business processes and models. Develop a detailed understanding of transactional system data at the attribute level to prepare for effective transformation into a structure suitable for analytics. Identify and quantify business stakeholders' requirements which we can convert to re-usable Data Products. Design and implement suitable database schemas to be integrated into our overall Data Model for the purpose of Self-Serving to our customer "spokes". Help embed Data Quality checks, validations, and alerting mechanisms across all data ingestion processes. Partner closely with our Data Engineering Hub in the integration of ETL processes into the Enterprise Data Model platform, ensuring data integrity and seamless flow. Conduct diagnostic data analysis and root cause investigations to identify trends and opportunities for improving business processes and reporting. Support data scientists in developing complex mathematical models, while also designing and developing data visualisations in Tableau. What should you bring along? Degree in a numerical discipline (Computer Science, Statistics, or Mathematics preferred). Strong background in data analytics as a Data Analyst or Data Engineer. Expertise in data modelling from conception to optimisation. Experience in data warehouse development and Data Product development. Experience in developing and implementing a Self-Service way of working. Proficient in developing business operational metrics and reporting processes. Ability to manage stakeholders at various organisational levels. Familiarity with AWS Cloud Data Hub technology. Familiarity with agile project methodologies. Excellent SQL skills and understanding of relational databases. Knowledge of Tableau. Strong problem-solving skills and ability to design innovative solutions. Closing Date: 11th July 2025 At BMW Group, we are committed to offering our employees the right balance between work and personal life.We pride ourselves on being a flexible employer and for most roles, it could be possible to agree flexible hours, job share, compressed hours or part-time working hours and so please discuss your individual requirements as part of the application process so we can try to agree a suitable arrangement. For this role, we also support a hybrid model which combines remote and office working. . We also have several employee resource groups. If you'd like to speak confidentially to any of these groups before applying for a role, please email us directly at and we can arrange an informal discussion. In 2025 BMW Group Financial Services UK was recognised as a Top Employer. We invest in our employees and embrace a culture of flexible working as well as promoting a positive, supportive culture and working environment. We are based in prestigious offices in Farnborough that provide a great place to work with good people and an exciting, engaging, industry leading brand. Successful candidates will be required to complete background screening checks and the offer of employment will be subject to results which we consider are satisfactory.Checks will include references, right to work, IT system Compliance Integrity Check (COIN), CV and relevant qualifications. Checks may also include criminal records, adverse financial (credit), directorships, address, internet research and/or driving licence. If you have any queries on any of these checks, please discuss with us and we will be happy to go through with you in more detail. We are proud to be a part of the Disability Confident scheme. The scheme supports employers to make the most of the talents disabled people can bring to the workplace.
Jul 04, 2025
Full time
Business Intelligence Farnborough 27.06.2025 URL of this page was copied to paste buffer Data Analyst INNOVATION IS IMAGINING WHAT NOONE ELSE CAN. SHARE YOUR PASSION. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together. BMW Group Financial Services UK is looking for a Data Analyst. This role is based at the Summit ONE Campus in Farnborough. What awaits you? Analyse data from transactional systems to understand the generation and transformation of data, and its relationship to business processes and models. Develop a detailed understanding of transactional system data at the attribute level to prepare for effective transformation into a structure suitable for analytics. Identify and quantify business stakeholders' requirements which we can convert to re-usable Data Products. Design and implement suitable database schemas to be integrated into our overall Data Model for the purpose of Self-Serving to our customer "spokes". Help embed Data Quality checks, validations, and alerting mechanisms across all data ingestion processes. Partner closely with our Data Engineering Hub in the integration of ETL processes into the Enterprise Data Model platform, ensuring data integrity and seamless flow. Conduct diagnostic data analysis and root cause investigations to identify trends and opportunities for improving business processes and reporting. Support data scientists in developing complex mathematical models, while also designing and developing data visualisations in Tableau. What should you bring along? Degree in a numerical discipline (Computer Science, Statistics, or Mathematics preferred). Strong background in data analytics as a Data Analyst or Data Engineer. Expertise in data modelling from conception to optimisation. Experience in data warehouse development and Data Product development. Experience in developing and implementing a Self-Service way of working. Proficient in developing business operational metrics and reporting processes. Ability to manage stakeholders at various organisational levels. Familiarity with AWS Cloud Data Hub technology. Familiarity with agile project methodologies. Excellent SQL skills and understanding of relational databases. Knowledge of Tableau. Strong problem-solving skills and ability to design innovative solutions. Closing Date: 11th July 2025 At BMW Group, we are committed to offering our employees the right balance between work and personal life.We pride ourselves on being a flexible employer and for most roles, it could be possible to agree flexible hours, job share, compressed hours or part-time working hours and so please discuss your individual requirements as part of the application process so we can try to agree a suitable arrangement. For this role, we also support a hybrid model which combines remote and office working. . We also have several employee resource groups. If you'd like to speak confidentially to any of these groups before applying for a role, please email us directly at and we can arrange an informal discussion. In 2025 BMW Group Financial Services UK was recognised as a Top Employer. We invest in our employees and embrace a culture of flexible working as well as promoting a positive, supportive culture and working environment. We are based in prestigious offices in Farnborough that provide a great place to work with good people and an exciting, engaging, industry leading brand. Successful candidates will be required to complete background screening checks and the offer of employment will be subject to results which we consider are satisfactory.Checks will include references, right to work, IT system Compliance Integrity Check (COIN), CV and relevant qualifications. Checks may also include criminal records, adverse financial (credit), directorships, address, internet research and/or driving licence. If you have any queries on any of these checks, please discuss with us and we will be happy to go through with you in more detail. We are proud to be a part of the Disability Confident scheme. The scheme supports employers to make the most of the talents disabled people can bring to the workplace.
Salary up to £50,000 depending upon relevant experience Location Hybrid, UK The Vacancy WRc is seeking a Wastewater Hydraulic Network Modeller to join their Technical Consulting Team. This is a hybrid role, offering flexible working hours based on a 37-hour week, Monday to Friday. The role will support the Head of Wastewater Strategy and the growing WRc modelling team in delivering exceptional solutions for the wastewater sector. You will bring ideas, drive, and energy and be highly capable of engaging with clients to deliver solutions that meet their requirements. You will complement the existing team's domain knowledge with your technical skills and experience. Your main focus will be on project delivery to a wide portfolio of project opportunities, including existing UK framework contracts but also novel one-off projects both in the UK and overseas. This typically involves undertaking feasibility studies/projects using computer modelling, statistical modelling, GIS and data analysis to support operational and environmental recommendations or other interventions. Responsibilities: Demonstrate an ability to successfully deliver projects to exacting standards, within budgets and time and with positive client feedback. Support the education and professional development of colleagues, actively developing staff skills and careers so that they are flexible to meet the needs of the market and business targets. Provide technical support to deliver external training. Be prepared to lead a small team with day-to-day line management responsibilities. Champion Health Safety and Wellbeing of staff to ensure safe working practices and culture. Maintain an appreciation and interest in the latest developments in the industry. Show appreciation of potential business opportunities to support future growth of the business. Demonstrate intellectual curiosity, drawing on innovation in academia and industry. Person Specification: You will have proven previous experience in the water sector focused on wastewater network modelling, asset management, drainage planning and data analytics. In addition, you will be able to highlight experience associated with the future challenges that face the water industry and how we may tackle them. You will: Be educated to degree level or above, in a relevant discipline. Demonstrate strong domain knowledge and technical skills within the wastewater environment. Have an inquisitive and logical approach to problem-solving. Be an expert user of InfoWorks ICM modelling software. Experience of water quality modelling would be an advantage. Be proficient in use of GIS, including software such as QGIS and/or ArcGIS. Have skills and experience in one or more of the following: optimisation software, FME, programming languages such as Python and SQL, and/or legacy languages such as Ruby and VBA. Salary & Benefits: Salary up to £50,000 depending upon relevant experience Life assurance A flexible benefits programme including the option to buy additional holidays, health cash plan and discounted gym membership Contributary pension scheme. Full job description attached under documents RSK Group is an Equal Opportunities Employer. RSK will not accept unsolicited CVs from agencies other than RSK PSL or Secondary agencies. About Us Water Research Centre (WRc) is an independent centre of excellence for innovation and growth that boasts more than 90 years of delivering leading, technical research and innovation services to the global water, waste management and energy sectors. Its subsidiary business, Cognica, is a leading provider of intelligent information-management solutions and services to the construction and estate-management markets. The businesses are based in Swindon, UK. WRc's 170 employees bring a shared purpose of discovering and delivering new and exciting solutions that enable clients to meet the challenges of the future. In addition to its wide breadth of services in water, WRc is also home to the National Centre for Environmental Toxicology, an expert team of scientists and toxicologists offering a toxicology-on-demand subscription service. The company is renowned for its ability to address global issues, including climate change, green growth and water and sanitation services, through applied engineering excellence, highlighted through its tagline, "innovation through collaboration". WRcis part of the RSK Group, a leading integrated environmental, engineering, and technical services business providing dynamic, multidisciplinary services to a wide range of sectors. RSK was founded in 1989 and has grown considerably since then. At RSK, we operate as a group of businesses that work together seamlessly, aiming for growth through diversification. Our strategy helps us build a strong and resilient business, capable of weathering external challenges, while also providing greater value to our clients and more opportunities for our employees. Since the beginning, our philosophy has remained the same: employ, develop and reward talented individuals. People are crucial to our company, and we recognise that our success hinges on our colleagues' growth. We're committed to preserving RSK's people-first culture, promoting innovation, and fostering a supportive and caring environment for collaboration. At RSK, we want you to be part of our successes and help you reach your career aspirations. We take pride in offering employees fulfilling and challenging careers by promoting ongoing growth and empowering individuals to excel. We are committed to fostering an inclusive workplace that welcomes individuals from all backgrounds, experiences, and perspectives. We firmly believe that embracing and celebrating the diversity in our workforce makes us a stronger and more innovative company. By providing workplace adjustments, we make it easier for people to confidently explore and pursue our career opportunities and recognise that flexibility is key to fostering a dynamic and thriving workplace.Many of our office-based positions benefit from a flexible working arrangement, allowing our team members to achieve a balance between professional and personal commitments. We actively encourage applications from candidates of all genders, races, ethnicities, ages, neurotypes, religions or beliefs, sexual orientations, and those with disabilities. If you're passionate about making a difference, join us as we work together to build a brighter, more equitable, and sustainable future for all. Do you have what it takes?
Jul 04, 2025
Full time
Salary up to £50,000 depending upon relevant experience Location Hybrid, UK The Vacancy WRc is seeking a Wastewater Hydraulic Network Modeller to join their Technical Consulting Team. This is a hybrid role, offering flexible working hours based on a 37-hour week, Monday to Friday. The role will support the Head of Wastewater Strategy and the growing WRc modelling team in delivering exceptional solutions for the wastewater sector. You will bring ideas, drive, and energy and be highly capable of engaging with clients to deliver solutions that meet their requirements. You will complement the existing team's domain knowledge with your technical skills and experience. Your main focus will be on project delivery to a wide portfolio of project opportunities, including existing UK framework contracts but also novel one-off projects both in the UK and overseas. This typically involves undertaking feasibility studies/projects using computer modelling, statistical modelling, GIS and data analysis to support operational and environmental recommendations or other interventions. Responsibilities: Demonstrate an ability to successfully deliver projects to exacting standards, within budgets and time and with positive client feedback. Support the education and professional development of colleagues, actively developing staff skills and careers so that they are flexible to meet the needs of the market and business targets. Provide technical support to deliver external training. Be prepared to lead a small team with day-to-day line management responsibilities. Champion Health Safety and Wellbeing of staff to ensure safe working practices and culture. Maintain an appreciation and interest in the latest developments in the industry. Show appreciation of potential business opportunities to support future growth of the business. Demonstrate intellectual curiosity, drawing on innovation in academia and industry. Person Specification: You will have proven previous experience in the water sector focused on wastewater network modelling, asset management, drainage planning and data analytics. In addition, you will be able to highlight experience associated with the future challenges that face the water industry and how we may tackle them. You will: Be educated to degree level or above, in a relevant discipline. Demonstrate strong domain knowledge and technical skills within the wastewater environment. Have an inquisitive and logical approach to problem-solving. Be an expert user of InfoWorks ICM modelling software. Experience of water quality modelling would be an advantage. Be proficient in use of GIS, including software such as QGIS and/or ArcGIS. Have skills and experience in one or more of the following: optimisation software, FME, programming languages such as Python and SQL, and/or legacy languages such as Ruby and VBA. Salary & Benefits: Salary up to £50,000 depending upon relevant experience Life assurance A flexible benefits programme including the option to buy additional holidays, health cash plan and discounted gym membership Contributary pension scheme. Full job description attached under documents RSK Group is an Equal Opportunities Employer. RSK will not accept unsolicited CVs from agencies other than RSK PSL or Secondary agencies. About Us Water Research Centre (WRc) is an independent centre of excellence for innovation and growth that boasts more than 90 years of delivering leading, technical research and innovation services to the global water, waste management and energy sectors. Its subsidiary business, Cognica, is a leading provider of intelligent information-management solutions and services to the construction and estate-management markets. The businesses are based in Swindon, UK. WRc's 170 employees bring a shared purpose of discovering and delivering new and exciting solutions that enable clients to meet the challenges of the future. In addition to its wide breadth of services in water, WRc is also home to the National Centre for Environmental Toxicology, an expert team of scientists and toxicologists offering a toxicology-on-demand subscription service. The company is renowned for its ability to address global issues, including climate change, green growth and water and sanitation services, through applied engineering excellence, highlighted through its tagline, "innovation through collaboration". WRcis part of the RSK Group, a leading integrated environmental, engineering, and technical services business providing dynamic, multidisciplinary services to a wide range of sectors. RSK was founded in 1989 and has grown considerably since then. At RSK, we operate as a group of businesses that work together seamlessly, aiming for growth through diversification. Our strategy helps us build a strong and resilient business, capable of weathering external challenges, while also providing greater value to our clients and more opportunities for our employees. Since the beginning, our philosophy has remained the same: employ, develop and reward talented individuals. People are crucial to our company, and we recognise that our success hinges on our colleagues' growth. We're committed to preserving RSK's people-first culture, promoting innovation, and fostering a supportive and caring environment for collaboration. At RSK, we want you to be part of our successes and help you reach your career aspirations. We take pride in offering employees fulfilling and challenging careers by promoting ongoing growth and empowering individuals to excel. We are committed to fostering an inclusive workplace that welcomes individuals from all backgrounds, experiences, and perspectives. We firmly believe that embracing and celebrating the diversity in our workforce makes us a stronger and more innovative company. By providing workplace adjustments, we make it easier for people to confidently explore and pursue our career opportunities and recognise that flexibility is key to fostering a dynamic and thriving workplace.Many of our office-based positions benefit from a flexible working arrangement, allowing our team members to achieve a balance between professional and personal commitments. We actively encourage applications from candidates of all genders, races, ethnicities, ages, neurotypes, religions or beliefs, sexual orientations, and those with disabilities. If you're passionate about making a difference, join us as we work together to build a brighter, more equitable, and sustainable future for all. Do you have what it takes?
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description At Thermo Fisher Scientific, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on - now and in the future. Location/Division Specific Information Evidera's Patient-Centered Research (PCR) group combines a unique portfolio of scientific fields, including health sciences, psychometrics, epidemiology, psychology, and other. Our work has helped identify and clarify unmet clinical needs, assess burden of illness and evaluate patient outcomes, preference and/or adherence, while supporting promotional and labeling claims on a global scale. The Qualitative Clinical Outcomes Assessment (COA) Lead will manage and grow an established team of scientists within Thermo Fisher Scientific's Patient-Centered Research (PCR) team. The qualitative COA team develops, commercializes and delivers best-in-class qualitative research designed to support global COA development programs across therapeutic areas and for a wide range of clients. This includes patient and caregiver reported outcomes, clinician reported outcomes, observer reported outcomes and performance-based measures. The team draws on many research methods, such as landscape review, concept elicitation, cognitive debriefing, UAT testing, thematic or content analysis, and linguistic validation. The successful candidate will report into the PCR Delivery Lead and work closely with other team leads, such as Quantitative COA, patient-experience data or in-trial research teams. Responsibilities include defining the COA qualitative offering, championing thought leadership to advance science and reputation, driving process innovations, collaborating with the commercial team on business development strategies, serving as point of contact for clients, planning team capacity, staffing of opportunities, offering development opportunities for team members, leading recruitment activities, managing the team pipeline, driving financial success, and ensuring operational excellence. The lead will also support client projects as scientific advisor and/or principal investigator. This exciting role is an essential stakeholder to PCR providing a full suite of services and offerings to facilitate the integration of research-based findings into pharmaceutical and bio-technology usage throughout all phases of drug development for the betterment of the patient experience. Essential Functions: Work with the PCR leadership and other stakeholders (e.g., commercial team) to develop a vision for thought leadership, innovation, marketing and business development strategy of the qualitative COA team Develop and execute the annual team plan in close collaboration with external and internal stakeholders (e.g., marketing, commercial teams) Coordinate response to client RFPs, including managing existing qualitative resources as well as identification of additional resource needs (i.e. recruitment oversight), and reviewing and approving proposals and budget Support staff management including interviewing and selection, professional development, goal setting, performance management and other tasks associated with staff functions Identify business risks and develop mitigation plans Develop and build long-lasting client relationships Provide clients with advice on COA strategy and appropriate scientific solutions Knowledge, Skills and Ability: Proven leadership in applied qualitative research, COA development and COA validation with a passion for quality and continuous scientific innovation Robust understanding of the global regulatory landscape and associated requirements, with the ability to navigate regulatory complexity Demonstrated drive to lead and develop high performance teams, including long-term strategies, annual objective planning, optimal resource allocation, and staff development Ability to attract, develop and retain scientific talent Extensive experience in consulting with a passion for understanding and addressing client needs with carefully selected scientific solutions Demonstrated ability to delegate effectively Advanced understanding of project scoping, budgeting and forecasting with the ability to interpret data with attention to detail Strong interpersonal, organizational, communication and staff management skills and experience required. Tact and sensitivity in matters relating to confidential material Ability to communicate complex information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken words and sentences. Fluent in written and oral English Education and Experience: Master's Degree or higher with 10 years of experience in the field, including publication and at least 3 years of team management experience. Benefits We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. with PPD, part of Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued. Apply today! Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Jul 04, 2025
Full time
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description At Thermo Fisher Scientific, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on - now and in the future. Location/Division Specific Information Evidera's Patient-Centered Research (PCR) group combines a unique portfolio of scientific fields, including health sciences, psychometrics, epidemiology, psychology, and other. Our work has helped identify and clarify unmet clinical needs, assess burden of illness and evaluate patient outcomes, preference and/or adherence, while supporting promotional and labeling claims on a global scale. The Qualitative Clinical Outcomes Assessment (COA) Lead will manage and grow an established team of scientists within Thermo Fisher Scientific's Patient-Centered Research (PCR) team. The qualitative COA team develops, commercializes and delivers best-in-class qualitative research designed to support global COA development programs across therapeutic areas and for a wide range of clients. This includes patient and caregiver reported outcomes, clinician reported outcomes, observer reported outcomes and performance-based measures. The team draws on many research methods, such as landscape review, concept elicitation, cognitive debriefing, UAT testing, thematic or content analysis, and linguistic validation. The successful candidate will report into the PCR Delivery Lead and work closely with other team leads, such as Quantitative COA, patient-experience data or in-trial research teams. Responsibilities include defining the COA qualitative offering, championing thought leadership to advance science and reputation, driving process innovations, collaborating with the commercial team on business development strategies, serving as point of contact for clients, planning team capacity, staffing of opportunities, offering development opportunities for team members, leading recruitment activities, managing the team pipeline, driving financial success, and ensuring operational excellence. The lead will also support client projects as scientific advisor and/or principal investigator. This exciting role is an essential stakeholder to PCR providing a full suite of services and offerings to facilitate the integration of research-based findings into pharmaceutical and bio-technology usage throughout all phases of drug development for the betterment of the patient experience. Essential Functions: Work with the PCR leadership and other stakeholders (e.g., commercial team) to develop a vision for thought leadership, innovation, marketing and business development strategy of the qualitative COA team Develop and execute the annual team plan in close collaboration with external and internal stakeholders (e.g., marketing, commercial teams) Coordinate response to client RFPs, including managing existing qualitative resources as well as identification of additional resource needs (i.e. recruitment oversight), and reviewing and approving proposals and budget Support staff management including interviewing and selection, professional development, goal setting, performance management and other tasks associated with staff functions Identify business risks and develop mitigation plans Develop and build long-lasting client relationships Provide clients with advice on COA strategy and appropriate scientific solutions Knowledge, Skills and Ability: Proven leadership in applied qualitative research, COA development and COA validation with a passion for quality and continuous scientific innovation Robust understanding of the global regulatory landscape and associated requirements, with the ability to navigate regulatory complexity Demonstrated drive to lead and develop high performance teams, including long-term strategies, annual objective planning, optimal resource allocation, and staff development Ability to attract, develop and retain scientific talent Extensive experience in consulting with a passion for understanding and addressing client needs with carefully selected scientific solutions Demonstrated ability to delegate effectively Advanced understanding of project scoping, budgeting and forecasting with the ability to interpret data with attention to detail Strong interpersonal, organizational, communication and staff management skills and experience required. Tact and sensitivity in matters relating to confidential material Ability to communicate complex information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken words and sentences. Fluent in written and oral English Education and Experience: Master's Degree or higher with 10 years of experience in the field, including publication and at least 3 years of team management experience. Benefits We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. with PPD, part of Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued. Apply today! Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. As part of our team, you'll be tasked with: You will be working in a fast-paced, innovation-driven data science team, across various industries and use cases. The first project will focus on R package validation for a global biopharma customer, collaborating with the validation lead and statisticians to assess R packages needed for regulatory work, specifically: Perform package assessments Review business user R package assessments Support custom package developers to ensure compliance with organization's standards Release package updates in line with internal/external standards Qualifications Thorough knowledge of the R language Daily use of GitHub, including version control, collaboration, testing, and CI/CD Track record of publishing high-quality R packages on CRAN Superb written and verbal communication skills and demonstrated ability to effectively communicate complex technical and statistical ideas to non-specialists Preferred Qualifications Experience in biostatistics and clinical programming Working with Cloud infrastructure and services (e.g., Azure) Data science background including machine learning and Shiny app development Working at Ascent At Ascent, we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Wellbeing Coaches. Your development and learning will be taken seriously, and we'll support your professional growth through training and certification, with regular feedback and reviews. We are a fun, supportive, and modern workplace that embodies our values of Empathy, Energy, and Audacity! Ascent also offers various benefits in each of our countries. Ascent is an equal opportunities employer. We are committed to inclusion and belonging, ensuring no person is treated less favorably based on gender, pregnancy, maternity, marital or civil partnership status, sexual orientation, race, nationality, ethnicity, age, religion, belief, or disability. If you require reasonable accommodation, please let us know when applying. If you have questions, contact our Talent Acquisition team at . For more details about life at Ascent , visit our Life Page here. Are you legally entitled to work in the UK without sponsorship or a VISA? Please state your annual gross salary expectations in GBP: Would you like to share any further details with us at this stage? Do you consent to us keeping your data for 12 months following this application to consider you for future roles?
Jul 04, 2025
Full time
Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. As part of our team, you'll be tasked with: You will be working in a fast-paced, innovation-driven data science team, across various industries and use cases. The first project will focus on R package validation for a global biopharma customer, collaborating with the validation lead and statisticians to assess R packages needed for regulatory work, specifically: Perform package assessments Review business user R package assessments Support custom package developers to ensure compliance with organization's standards Release package updates in line with internal/external standards Qualifications Thorough knowledge of the R language Daily use of GitHub, including version control, collaboration, testing, and CI/CD Track record of publishing high-quality R packages on CRAN Superb written and verbal communication skills and demonstrated ability to effectively communicate complex technical and statistical ideas to non-specialists Preferred Qualifications Experience in biostatistics and clinical programming Working with Cloud infrastructure and services (e.g., Azure) Data science background including machine learning and Shiny app development Working at Ascent At Ascent, we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Wellbeing Coaches. Your development and learning will be taken seriously, and we'll support your professional growth through training and certification, with regular feedback and reviews. We are a fun, supportive, and modern workplace that embodies our values of Empathy, Energy, and Audacity! Ascent also offers various benefits in each of our countries. Ascent is an equal opportunities employer. We are committed to inclusion and belonging, ensuring no person is treated less favorably based on gender, pregnancy, maternity, marital or civil partnership status, sexual orientation, race, nationality, ethnicity, age, religion, belief, or disability. If you require reasonable accommodation, please let us know when applying. If you have questions, contact our Talent Acquisition team at . For more details about life at Ascent , visit our Life Page here. Are you legally entitled to work in the UK without sponsorship or a VISA? Please state your annual gross salary expectations in GBP: Would you like to share any further details with us at this stage? Do you consent to us keeping your data for 12 months following this application to consider you for future roles?
Business Analyst , Customer Experience and Business Trends (CXBT) Capability Team Are you Customer obsessed, eager to create opportunities and influence business decisions to improve the customer experience across our different Amazon businesses? Customer Experience and Business Trends (CXBT) Capability team is looking for an experienced, talented and highly motivated individual to join our Global Capability team based in Bangalore. As a Business Analyst (BA) , you will contribute to critical global services that measure Amazon's end-to-end Customer Experience. This role will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with program and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive programs. Key job responsibilities - Perform deep data analysis, document findings and insights, and communicate to business stakeholders. - Empower technical and non-technical internal customers to self-serve data pull and data analysis needs. - Be the expert on the data used and generated by the team's products. Act as Subject Matter Expert when it comes to data questions. - Derive insights from data; Synthesize data into succinct narrative and bridges to enable business and leadership to make investment and strategy decisions - Develop and automate market-segment reports to enable business team to understand impact of targeted initiatives About the team Customer Experience & Business Trends (CXBT) is an organization made up of a diverse suit of functions dedicated to deeply understand and improving Customer Experience, globally. We are a team of builders that develop products, services, ideas and various ways of leveraging data to influence products and service offerings - for almost every business at Amazon - for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical & non-technical approaches and stay aware of industry & business trends. We are a global team, made up of a diverse set of profiles, skills & backgrounds - including Product Managers, Software Developers, Computer Vision Experts, Solution Architects, Data Scientists, Business Intelligence Engineers, Business Analytics, Risk Managers & more. BASIC QUALIFICATIONS - 3+ years of tax, finance or a related analytical field experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel - Bachelor's degree in computer science, engineering, mathematics or equivalent - 6+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables), - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques. - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Experience using very large datasets - Strong Analytical skills - has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem - Communication skills - Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data. - Ability to work in a fast-paced business environment and demonstrated track record of project delivery for large, cross-functional projects with evolving requirements 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 04, 2025
Full time
Business Analyst , Customer Experience and Business Trends (CXBT) Capability Team Are you Customer obsessed, eager to create opportunities and influence business decisions to improve the customer experience across our different Amazon businesses? Customer Experience and Business Trends (CXBT) Capability team is looking for an experienced, talented and highly motivated individual to join our Global Capability team based in Bangalore. As a Business Analyst (BA) , you will contribute to critical global services that measure Amazon's end-to-end Customer Experience. This role will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with program and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive programs. Key job responsibilities - Perform deep data analysis, document findings and insights, and communicate to business stakeholders. - Empower technical and non-technical internal customers to self-serve data pull and data analysis needs. - Be the expert on the data used and generated by the team's products. Act as Subject Matter Expert when it comes to data questions. - Derive insights from data; Synthesize data into succinct narrative and bridges to enable business and leadership to make investment and strategy decisions - Develop and automate market-segment reports to enable business team to understand impact of targeted initiatives About the team Customer Experience & Business Trends (CXBT) is an organization made up of a diverse suit of functions dedicated to deeply understand and improving Customer Experience, globally. We are a team of builders that develop products, services, ideas and various ways of leveraging data to influence products and service offerings - for almost every business at Amazon - for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical & non-technical approaches and stay aware of industry & business trends. We are a global team, made up of a diverse set of profiles, skills & backgrounds - including Product Managers, Software Developers, Computer Vision Experts, Solution Architects, Data Scientists, Business Intelligence Engineers, Business Analytics, Risk Managers & more. BASIC QUALIFICATIONS - 3+ years of tax, finance or a related analytical field experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel - Bachelor's degree in computer science, engineering, mathematics or equivalent - 6+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables), - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques. - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Experience using very large datasets - Strong Analytical skills - has ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusion relevant to the business problem - Communication skills - Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data. - Ability to work in a fast-paced business environment and demonstrated track record of project delivery for large, cross-functional projects with evolving requirements 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.
Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE) Do you have a passion for deriving insights from data to make a difference in people's lives? Are you a Day 1 thinker who is passionate about pushing the boundaries of conventional talent development approaches and innovating on behalf of our customers? If so, we would like to hear from you! PATOE is a centralized technology, data, reporting, and analytics organization that supports over a million employees globally, spanning support across NA Customer Fulfillment, Global Operations Learning & Development and PXT Capability & Impact, and Employee Relations. We are seeking a seasoned Business Intelligence Engineer for our Reporting and Analytics team to further our mission of building technology and programs that help our more than 1 million employees reach their full potential from onboarding through career advancement. In this role, a BIE will play a pivotal role in designing, executing, and optimizing data solutions to empower our front-line leaders and ensure they are well-equipped to effectively lead the largest hourly population in Amazon. The ideal candidate will be enthusiastic about translating complex and ambiguous problem statements into actionable solutions, working across Employee Experience and Relations teams worldwide. In this role, you will partner with our program and product managers to consult, prioritize, develop and implement KPIs, and automate reporting processes. Your work will play a major role in devising the team's expansion strategy, technical foundation of our ecosystem and scaling our impact across the org. This role provides opportunities to test new approaches and innovate in an exciting, fast-paced environment Key job responsibilities • In this role, you will use analytics to enhance our reporting and data product offerings and improve employee experience and relations • Collaborate with PATOE developers and evaluate internal processes, approaches, and technical systems to establish highest standards and ensure safety for our associates and leaders • Apply deep analytics and business intelligence skills to extract meaningful insights and learning from large and complicated data sets • Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards • Support cross-functional teams on the day-to-day execution of projects and initiatives • Deliver business reviews to the senior management team regarding progress and roadblocks • Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations • Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation • Conduct advanced statistical analysis to identify trends and opportunities About the team This role sits within the larger People Analytics, Technology, and Operations Excellence (PATOE), a team of Engineers, Data Professionals, Product Managers and Scientists supporting People Experience & Technology (PXT) and Operations worldwide. The role will report into Reporting and Analytics team embedded within PATOE and comprised of Business Intelligence Engineers and Business Analysts. We design, build and sustain scalable data products that support Employee Relations, Global Learning & Development, and WW Operations. BASIC QUALIFICATIONS - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 5+ years experience with SQL, Python, R - 3+ years experience working extensively in large scale data bases and data warehouses. - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience in making recommendations and influencing stakeholders - Bachelor's degree in computer science, engineering, mathematics or equivalent PREFERRED QUALIFICATIONS - 5+ years of business or financial analysis experience - 5+ years of development experience in AWS Services - Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modelling - Master's degree in computer science, engineering, mathematics or equivalent 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. Posted: June 25, 2025 (Updated about 4 hours ago) Posted: June 25, 2025 (Updated about 4 hours ago) Posted: May 13, 2025 (Updated about 11 hours ago) Posted: May 16, 2025 (Updated about 20 hours ago) Posted: June 25, 2025 (Updated 1 day ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 04, 2025
Full time
Business Intelligence Engineer, People Analytics, Technology, and Operations Excellence (PATOE) Do you have a passion for deriving insights from data to make a difference in people's lives? Are you a Day 1 thinker who is passionate about pushing the boundaries of conventional talent development approaches and innovating on behalf of our customers? If so, we would like to hear from you! PATOE is a centralized technology, data, reporting, and analytics organization that supports over a million employees globally, spanning support across NA Customer Fulfillment, Global Operations Learning & Development and PXT Capability & Impact, and Employee Relations. We are seeking a seasoned Business Intelligence Engineer for our Reporting and Analytics team to further our mission of building technology and programs that help our more than 1 million employees reach their full potential from onboarding through career advancement. In this role, a BIE will play a pivotal role in designing, executing, and optimizing data solutions to empower our front-line leaders and ensure they are well-equipped to effectively lead the largest hourly population in Amazon. The ideal candidate will be enthusiastic about translating complex and ambiguous problem statements into actionable solutions, working across Employee Experience and Relations teams worldwide. In this role, you will partner with our program and product managers to consult, prioritize, develop and implement KPIs, and automate reporting processes. Your work will play a major role in devising the team's expansion strategy, technical foundation of our ecosystem and scaling our impact across the org. This role provides opportunities to test new approaches and innovate in an exciting, fast-paced environment Key job responsibilities • In this role, you will use analytics to enhance our reporting and data product offerings and improve employee experience and relations • Collaborate with PATOE developers and evaluate internal processes, approaches, and technical systems to establish highest standards and ensure safety for our associates and leaders • Apply deep analytics and business intelligence skills to extract meaningful insights and learning from large and complicated data sets • Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards • Support cross-functional teams on the day-to-day execution of projects and initiatives • Deliver business reviews to the senior management team regarding progress and roadblocks • Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations • Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation • Conduct advanced statistical analysis to identify trends and opportunities About the team This role sits within the larger People Analytics, Technology, and Operations Excellence (PATOE), a team of Engineers, Data Professionals, Product Managers and Scientists supporting People Experience & Technology (PXT) and Operations worldwide. The role will report into Reporting and Analytics team embedded within PATOE and comprised of Business Intelligence Engineers and Business Analysts. We design, build and sustain scalable data products that support Employee Relations, Global Learning & Development, and WW Operations. BASIC QUALIFICATIONS - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 5+ years experience with SQL, Python, R - 3+ years experience working extensively in large scale data bases and data warehouses. - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience in making recommendations and influencing stakeholders - Bachelor's degree in computer science, engineering, mathematics or equivalent PREFERRED QUALIFICATIONS - 5+ years of business or financial analysis experience - 5+ years of development experience in AWS Services - Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modelling - Master's degree in computer science, engineering, mathematics or equivalent 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. Posted: June 25, 2025 (Updated about 4 hours ago) Posted: June 25, 2025 (Updated about 4 hours ago) Posted: May 13, 2025 (Updated about 11 hours ago) Posted: May 16, 2025 (Updated about 20 hours ago) Posted: June 25, 2025 (Updated 1 day ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Sr. Business Intelligence Engineer, JP Seller Services Seller Services is one of the fastest growing businesses within Amazon. The "Selling on Amazon" service enables third-party sellers to sell their products via Amazon and reach tens of millions of potential shoppers. Japan Seller Services is seeking a Business Intelligence Engineer to join the BI team. The core focus of this role is to leverage data and BI capabilities to directly support the goals and initiatives of the Japan Seller Services business team. Stakeholders include product/program managers, sales managers and leadership team. The ideal candidate will be excited about pulling complex data from large scale database using SQL, identifying and developing metrics that are relevant to the focus of programs, automating metrics tracking on Quicksight or Excel, diving deep into data to fix business issues and uncover growth opportunities, estimating business impact for the new program using proxy data, and running statistical models. The ideal candidate will own good business acumen and enjoy influencing business decisions while improving operational efficiency to drive higher productivity. The individual must be able to: - Manage request intake independently and set priorities based on organizational needs. - Manage multiple tasks simultaneously and deliver in the most efficient and effective way. - Interact and communicate effectively with stakeholders, including senior leadership from multiple project areas. - Translate complex or ambiguous business problems into clear analysis requirements. - Proactively identify high-impact business problems and help partners create actionable priorities. - Derive business insights from analysis and provide recommendations. - Extract complex data from large-scale Redshift databases using efficient queries. - Develop metrics tracking and automate scheduled report refreshes (daily, weekly, monthly, and quarterly). - Design and implement robust, extensible, and scalable solutions. - Ensure data accuracy and reliability while adhering to globally standardized definitions. - Demonstrate technical expertise (SQL, Python, Statistics, AWS technologies) in delivering BI solutions. - Effectively communicate technical blockers and requirements with Business Intelligence teams in US/India. - Make appropriate technical trade-offs between long-term and short-term needs. - Comprehend business documents to understand priorities. - Write clear documentation outlining analysis details, insights, and recommendations Key job responsibilities The individual will own 2+ business domains and work closely with business partners (Product/Program/Sales Managers) and technical partners (BIEs, Data Engineers, Data Scientists) across the following four pillars: Data Visualization Build and maintain metrics tables in Quicksight/Excel for weekly/monthly/quarterly business reviews with the leadership team. Develop and maintain detailed metrics dashboards for product/program managers and account managers. This involves alignment with business stakeholders in Japan and technical stakeholders in US/India. Analytics Deliver insights and recommendations to support business decision-making. This includes opportunity/risk/impact analysis of new programs/product features and investigation of data quality/customer-facing issues. The role may require using statistical models and delivering 1-4 page documents or contributing to business documentation. Ad-hoc Data Pull Write SQL queries and extract complex data for short/long-term planning and quick decision-making. This requires good judgment in determining what should be supported by BIEs versus self-managed by data requesters. Operational Efficiency Enhance BI team productivity by collaborating with Business Intelligence Engineers and Data Engineers in US/India teams to develop and implement innovative solutions. A day in the life A typical day as a Business Intelligence Engineer is dynamic and involves cross-functional and global collaboration. Here's what you might experience throughout your day: - Monitor and prioritize incoming requests from business stakeholders through our ticketing system (SIM) - Align on requirements with stakeholders through various channels (meetings, Slack, in-person discussions) - Develop and maintain data visualizations and analytics solutions - Participate in global technical discussions about metric standardization, data source alignment, database optimizations and other initiatives You will dedicate approximately 5% of time to routine operational tasks. About the team We are a team of 8 people with diverse nationalities and backgrounds. We help each other overcome technical obstacles and are passionate about innovation. We work hard while maintaining work-life harmony. BASIC QUALIFICATIONS - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership 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. Posted: May 23, 2025 (Updated 13 minutes ago) Posted: May 23, 2025 (Updated 18 minutes ago) Posted: May 23, 2025 (Updated 24 minutes ago) Posted: May 20, 2025 (Updated about 1 hour ago) Posted: February 20, 2025 (Updated about 2 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 04, 2025
Full time
Sr. Business Intelligence Engineer, JP Seller Services Seller Services is one of the fastest growing businesses within Amazon. The "Selling on Amazon" service enables third-party sellers to sell their products via Amazon and reach tens of millions of potential shoppers. Japan Seller Services is seeking a Business Intelligence Engineer to join the BI team. The core focus of this role is to leverage data and BI capabilities to directly support the goals and initiatives of the Japan Seller Services business team. Stakeholders include product/program managers, sales managers and leadership team. The ideal candidate will be excited about pulling complex data from large scale database using SQL, identifying and developing metrics that are relevant to the focus of programs, automating metrics tracking on Quicksight or Excel, diving deep into data to fix business issues and uncover growth opportunities, estimating business impact for the new program using proxy data, and running statistical models. The ideal candidate will own good business acumen and enjoy influencing business decisions while improving operational efficiency to drive higher productivity. The individual must be able to: - Manage request intake independently and set priorities based on organizational needs. - Manage multiple tasks simultaneously and deliver in the most efficient and effective way. - Interact and communicate effectively with stakeholders, including senior leadership from multiple project areas. - Translate complex or ambiguous business problems into clear analysis requirements. - Proactively identify high-impact business problems and help partners create actionable priorities. - Derive business insights from analysis and provide recommendations. - Extract complex data from large-scale Redshift databases using efficient queries. - Develop metrics tracking and automate scheduled report refreshes (daily, weekly, monthly, and quarterly). - Design and implement robust, extensible, and scalable solutions. - Ensure data accuracy and reliability while adhering to globally standardized definitions. - Demonstrate technical expertise (SQL, Python, Statistics, AWS technologies) in delivering BI solutions. - Effectively communicate technical blockers and requirements with Business Intelligence teams in US/India. - Make appropriate technical trade-offs between long-term and short-term needs. - Comprehend business documents to understand priorities. - Write clear documentation outlining analysis details, insights, and recommendations Key job responsibilities The individual will own 2+ business domains and work closely with business partners (Product/Program/Sales Managers) and technical partners (BIEs, Data Engineers, Data Scientists) across the following four pillars: Data Visualization Build and maintain metrics tables in Quicksight/Excel for weekly/monthly/quarterly business reviews with the leadership team. Develop and maintain detailed metrics dashboards for product/program managers and account managers. This involves alignment with business stakeholders in Japan and technical stakeholders in US/India. Analytics Deliver insights and recommendations to support business decision-making. This includes opportunity/risk/impact analysis of new programs/product features and investigation of data quality/customer-facing issues. The role may require using statistical models and delivering 1-4 page documents or contributing to business documentation. Ad-hoc Data Pull Write SQL queries and extract complex data for short/long-term planning and quick decision-making. This requires good judgment in determining what should be supported by BIEs versus self-managed by data requesters. Operational Efficiency Enhance BI team productivity by collaborating with Business Intelligence Engineers and Data Engineers in US/India teams to develop and implement innovative solutions. A day in the life A typical day as a Business Intelligence Engineer is dynamic and involves cross-functional and global collaboration. Here's what you might experience throughout your day: - Monitor and prioritize incoming requests from business stakeholders through our ticketing system (SIM) - Align on requirements with stakeholders through various channels (meetings, Slack, in-person discussions) - Develop and maintain data visualizations and analytics solutions - Participate in global technical discussions about metric standardization, data source alignment, database optimizations and other initiatives You will dedicate approximately 5% of time to routine operational tasks. About the team We are a team of 8 people with diverse nationalities and backgrounds. We help each other overcome technical obstacles and are passionate about innovation. We work hard while maintaining work-life harmony. BASIC QUALIFICATIONS - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership 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. Posted: May 23, 2025 (Updated 13 minutes ago) Posted: May 23, 2025 (Updated 18 minutes ago) Posted: May 23, 2025 (Updated 24 minutes ago) Posted: May 20, 2025 (Updated about 1 hour ago) Posted: February 20, 2025 (Updated about 2 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Snr Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan Job ID: Amazon Web Services Japan GK Our AWS Professional Services consultants deliver IT infrastructure and application architecture guidance, lead proof-of-concept projects, perform enterprise portfolio assessments, review operational best practices and conduct skills transfer workshops. AWS consultants collaborate with customers and partners to address security and compliance, performance and scale, availability and manageability. They advise customers on data platforms using the full range of AWS services. They also assist with the non-technical change management work on policies, processes and people changes. At AWS, we're looking for technical architects to collaborate with our customers and partners on key engagements, while helping our partners to develop technical expertise and capacity. The individual requires a strong combination of technical experience, hands-on keyboard capacity, technical leadership experience, and ability to learn fast in a fast paced environment. They will focus on customer solutions that enables customers to be a data-first organization. Key job responsibilities Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), S3, AWS Glue, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings. Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. About the team Diverse Experiences AWS 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 AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness. 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. 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 in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, Math, or related discipline - 7+ years of experience with data modeling, data warehousing, and building ETL pipelines - 10+ years of leadership experience in a technical, customer-facing role in the technology industry - Experience in working with data lakes, modern data architectures, Lambda type architectures - Proficiency in writing and optimizing SQL - Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS. - Experience with Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) - Ability to write code in Python, Ruby, Scala or other platform-related Big data technology - Knowledge of professional software engineering practices & best practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language) PREFERRED QUALIFICATIONS - Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. - Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) - Experience building data products incrementally and integrating and managing datasets from multiple sources - Query performance tuning skills using Unix profiling tools and SQL - Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies - Linux/UNIX including to process large data sets. 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. Posted: April 9, 2025 (Updated about 1 hour ago) Posted: May 19, 2025 (Updated about 2 hours ago) Posted: May 27, 2025 (Updated about 2 hours ago) Posted: May 27, 2025 (Updated about 2 hours ago) Posted: May 27, 2025 (Updated about 2 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 04, 2025
Full time
Snr Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan Job ID: Amazon Web Services Japan GK Our AWS Professional Services consultants deliver IT infrastructure and application architecture guidance, lead proof-of-concept projects, perform enterprise portfolio assessments, review operational best practices and conduct skills transfer workshops. AWS consultants collaborate with customers and partners to address security and compliance, performance and scale, availability and manageability. They advise customers on data platforms using the full range of AWS services. They also assist with the non-technical change management work on policies, processes and people changes. At AWS, we're looking for technical architects to collaborate with our customers and partners on key engagements, while helping our partners to develop technical expertise and capacity. The individual requires a strong combination of technical experience, hands-on keyboard capacity, technical leadership experience, and ability to learn fast in a fast paced environment. They will focus on customer solutions that enables customers to be a data-first organization. Key job responsibilities Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), S3, AWS Glue, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings. Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. About the team Diverse Experiences AWS 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 AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness. 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. 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 in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, Math, or related discipline - 7+ years of experience with data modeling, data warehousing, and building ETL pipelines - 10+ years of leadership experience in a technical, customer-facing role in the technology industry - Experience in working with data lakes, modern data architectures, Lambda type architectures - Proficiency in writing and optimizing SQL - Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS. - Experience with Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) - Ability to write code in Python, Ruby, Scala or other platform-related Big data technology - Knowledge of professional software engineering practices & best practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language) PREFERRED QUALIFICATIONS - Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. - Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) - Experience building data products incrementally and integrating and managing datasets from multiple sources - Query performance tuning skills using Unix profiling tools and SQL - Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies - Linux/UNIX including to process large data sets. 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. Posted: April 9, 2025 (Updated about 1 hour ago) Posted: May 19, 2025 (Updated about 2 hours ago) Posted: May 27, 2025 (Updated about 2 hours ago) Posted: May 27, 2025 (Updated about 2 hours ago) Posted: May 27, 2025 (Updated about 2 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
