476 to 500 of 671 Permanent Big Data Jobs

Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop … novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the … art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration More ❯

the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical insights to drive data-driven decision making and support the firm's trading and risk management objectives, across its derivatives business. What you'll do Key Responsibilities Leadership & Strategy Provide strategic direction for … research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams of highly skilled quantitative professionals Demonstrated expertise in statistical modelling and data analysis across multiple domains Technical Skills Deep understanding of statistical methods, econometric techniques, and their application to financial analysis Proficiency in programming languages commonly used in quantitative analysis (Python … R, SQL, MATLAB, etc.) Strong knowledge of financial markets, instruments, and analytical frameworks Experience with big data technologies, cloud computing, and advanced analytics platforms Understanding of financial theory and practice, including portfolio theory, asset pricing, and risk management Leadership & Personal Qualities Strategic vision and analytical mindset Exceptional problem-solving and critical thinking abilities Outstanding communication and presentation skills More ❯

the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical insights to drive data-driven decision making and support the firm's trading and risk management objectives , across its derivatives business . What youll do Key Responsibilities Leadership & Strategy Provide strategic direction for … research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams of highly skilled quantitative professionals Demonstrated expertise in statistical modelling and data analysis across multiple domains Technical Skills Deep understanding of statistical methods, econometric techniques, and their application to financial analysis Proficiency in programming languages commonly used in quantitative analysis (Python … R, SQL, MATLAB, etc.) Strong knowledge of financial markets, instruments, and analytical frameworks Experience with big data technologies, cloud computing, and advanced analytics platforms Understanding of financial theory and practice, including portfolio theory, asset pricing, and risk management Leadership & Personal Qualities Strategic vision and analytical mindset Exceptional problem-solving and critical thinking abilities Outstanding communication and presentation skills More ❯

the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical insights to drive data-driven decision making and support the firm's trading and risk management objectives , across its derivatives business . What you'll do Key Responsibilities Leadership & Strategy Provide strategic direction … research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams of highly skilled quantitative professionals Demonstrated expertise in statistical modelling and data analysis across multiple domains Technical Skills Deep understanding of statistical methods, econometric techniques, and their application to financial analysis Proficiency in programming languages commonly used in quantitative analysis (Python … R, SQL, MATLAB, etc.) Strong knowledge of financial markets, instruments, and analytical frameworks Experience with big data technologies, cloud computing, and advanced analytics platforms Understanding of financial theory and practice, including portfolio theory, asset pricing, and risk management Leadership & Personal Qualities Strategic vision and analytical mindset Exceptional problem-solving and critical thinking abilities Outstanding communication and presentation skills More ❯

with senior clients, engineers and architects on a daily basis? Are you a critical thinker that is keen to continue exploring the untouched capabilities of technologies such as Cloud, Big Data, AI and Robotics, and how they can be architected into client's landscapes to help them achieve their strategic goals? Joining the team means becoming part of … clients to act with speed and confidence. Your responsibilities as an enterprise architect will include: Assessing the impact of the business strategy on the enterprise architecture, including organisation, applications, data, infrastructure, and operations Staying abreast of Comms and Media industry dynamics and the impact of trends on an organisation, to identify and formulate need for change in enterprise architecture … roadmaps for complex and large technology environments using Lean and Agile enterprise principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the e2e technology landscape including applications, integrations, and data Conducting end-to-end vendor assessments across technology, vendor and or data platforms Working between the business and technology client & 3rd-party stakeholders to effectivity formulate communicate and More ❯

on projects with similar software processes may be substituted for a bachelor's degree. Discretionary Requirements -Cloud Experience: Shall have three (3) years demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, etc.; Shall have demonstrated work experience with the Map Reduce programming model and technologies such as More ❯

developing, and implementing cloud solutions on AWS platforms. - Guide, document, validate technical efforts to design, build, and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analytic. - Participate in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance. … productivity. - Must have an understanding of and experience with the five pillars of a well-architected frameworks. - Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics. - Proven ability to collaborative with multi-disciplinary teams of business analysts, developers, data scientists, and subject matter experts. - 3 or more years More ❯

Functions Technology is building a sophisticated next generation surveillance solution on top of a distributed data platform. Pune (India) and Belfast (United Kingdom) are the global hubs for the creation of feature-based surveillance algorithms using cutting edge technologies and techniques. The global Surveillance Technology team at Citi has an increased book of work that requires additional business lines … barriers, on real time, end of day, and historic lookup bases for indications of potential Market Abuse, Insider Dealing, and other types of fraud. The volume and variety of data involved in these surveillances and the complexity of the algorithms results in one of most challenging and appropriate use cases for big data technologies. As we further More ❯

a forward-thinking consumer finance business, delivering products that genuinely put customers in control. Innovative. Ethical. Customer first. No jargon. No unnecessary complexity. Just fair, transparent lending and smart, data led decision making. If you like the sound of shaping strategies that make a real difference. ........ Read On. The Role We're looking for a commercially minded Senior … a collaborative analytics team, working at the heart of customer engagement and portfolio performance. The opportunity sits within an Existing Customer Management' analytics environment. This is a hands-on, data-driven role where you'll shape strategies that deepen customer relationships, improve profitability, and reduce losses, all while keeping customer outcomes front and centre. Expectations Lead on credit, pricing … and marketing strategies that drive engagement and reduce losses. Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. Take a test and learn' approach, challenging the status quo to find better outcomes. Translate portfolio trends into strategies that shape customer journeys. Collaborate with stakeholders across product, finance, and operations to deliver More ❯

organizational dynamics for software delivery. We build secure Software Factories based on DoD reference designs and NIST Frameworks for Cloud and DevSecOps. These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies Job Summary: The Senior Project Manager/Program Manager will lead complex projects within the DoD's Search … Portfolio, driving the development and implementation of data analytics and artificial intelligence (AI) solutions that enhance decision-making processes across the Department of Defense (DoD). This role requires a strategic thinker with extensive experience in project management methodologies, particularly Agile, to ensure successful project execution and alignment with organizational goals. Key Responsibilities Project Management: Oversee the planning, execution … Track personnel utilization and budget usage across projects, reporting on progress and outcomes to senior leadership. Compliance Oversight: Ensure all software development adheres to DoD policies regarding security and data access. Skills/Qualifications: Education: Bachelor's degree plus 7-10 years of experience or a Master's degree plus 5 years of experience in a relevant field (e.g. More ❯

with senior clients, engineers and architects on a daily basis? Are you a critical thinker that is keen to continue exploring the untouched capabilities of technologies such as Cloud, Big Data, AI and Robotics, and how they can be architected into client's landscapes to help them achieve their strategic goals? Joining the team means becoming part of … Working as a team member in consulting engagements to deliver enterprise architecture services to clients Assessing the impact of the business strategy on the enterprise architecture, including organisation, applications, data, infrastructure, and operations Staying abreast of industry dynamics and the impact of trends on an organisation, to identify and formulate need for change in enterprise architecture Supporting the co … roadmaps for complex and large technology environments using Lean and Agile enterprise principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the e2e technology landscape including applications, integrations, and data Conducting end-to-end vendor assessments across technology, vendor and or data platforms Working between the business and technology client & 3rd party stakeholders to effectivity formulate communicate and More ❯

will keep our infrastructure running smoothly, automate deployments, and make sure our services stay reliable and scale when needed. We need someone who really knows Linux, has worked with Big Data setups, and is comfortable using tools like Ansible, Terraform, Python, and especially AWS. This role is about improving our processes and getting great software out the door … considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. More ❯

Senior Software Engineer (Python) -London Senior Software Engineer - Python - London/Home office The company: Through the power of AI and Big Data this company have developed a number of data driven tools and platforms aimed at delivering a transparent financial solution. Focusing purely on sustainable investment! If you want the leave the planet clean and beautiful … for the next generation then you share the ethos of this company. This group has 4 arms: A Data Provider: Assessing the performance and sustainability of companies worldwide. AI: An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML … Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to the office when needed so being located within a few hours of Central London would be hugely beneficial. The Job: End to end development of backend systems and services More ❯

investment strategies and research on our new Python based quant platform. With access to the world's most comprehensive financial database, you will have the opportunity to apply advanced data science technologies to generate real world investment models. Your role will involve full life-cycle development, from initial pitches to prospective clients, requirement gathering, prototyping, implementation, deployment and adoption. … Commodities In depth knowledge of the Bloomberg Terminal, the world's leading financial analytics platform for investment professionals You will be supported with training to improve your expertise in data science, quantitative investment strategies and capital markets A deep understanding of quantitative strategies and investment knowledge across Equities, Fixed Income, FX and Commodities Open Source Python technologies for advanced … data visualizations, widgets and analytics You'll need to have: Minimum 5 years' experience in Financial Services or a Financial Technology company Work experience in Python and SQL, machine learning is a plus Experience in Equity and/or Fixed Income/Credit/macro quantitative (quantamental) investment strategies A strategic mind set and demonstrable commercial acumen - being able More ❯

Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services … to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing. Responsibilities Cloud-Based Data Preparation: Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space. Optimization: Optimize this pipeline for throughput, latency, and … research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics. Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any More ❯

Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services … to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing. Responsibilities Cloud-Based Data Preparation: Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space. Optimization: Optimize this pipeline for throughput, latency, and … research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics. Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any More ❯

Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services … to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing. Responsibilities Cloud-Based Data Preparation: Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space. Optimization: Optimize this pipeline for throughput, latency, and … research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics. Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any More ❯

career-advancing resources here to help you develop into a better-rounded professional. Basic qualifications Background in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps. Have a demonstrated ability to think strategically about business, product, and technical challenges. A passion for technology and for learning. Preferred qualifications The following qualifications are … on premises or in the cloud. Working knowledge of cloud native architectures. Working knowledge of multiple technology domains, such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc. AWS certification (e.g. … AWS Solutions Architect Associate or Professional) or other industry certification. BASIC QUALIFICATIONS - Experience of a specific technology domain area (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics, AI/ML) experience - Experience developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT transformations toward cloud computing - Experience communicating across technical and non More ❯

close large enterprise deals. Educate and nurture early-phase prospects for potential future opportunities. Demonstrate knowledge of Dataiku DSS and its value proposition, along with an understanding of the Big Data ecosystem, to converse with data and business leaders from SMBs to large multinationals across industries such as e-commerce, retail, banking, insurance, utilities, and transport. Analyze … to handle pressure and a high volume of tasks in a result-oriented setting. Highly analytical, with a focus on tracking and measuring activities. Interest in innovative topics like Data Science and Predictive Analysis. What are you waiting for! At Dataiku, you'll be part of shaping the future of AI. We're not just building a product; we More ❯

Army Defense Cyber Operations (DCO). Required Skills o Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field o 8+ years of experience designing and building data-intensive solutions using distributed computing o Proven track record in designing, building, and/or delivering ML models and components that solve real-world business problems, while working in … collaboration with other technical teams. o Collaborate as part of a cross-functional Agile team to create and enhance capabilities that enables state-of-the-art big data and ML applications. o Retrain, maintain, and monitor models in production. o Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. … models are well-governed from a risk perspective, and o Use programming languages like Python, Scala, or Java. Preferred Skills: o Certifications in Machine Learning/Artificial Intelligence/Data Science o Familiarity with agile development methodologies o 5-8 years of experience in a ML/AI development and/or lead role More ❯

agencies, digital advertising publishers, predictive and intent monitoring services, social monitoring services, designers, copywriters and translation agencies, channel marketing concierge agencies. Ensure all field marketing programs comply with local data privacy regulations. Strategically build the plan for the region including account-based marketing (ABM), lead generation campaigns, executive engagement programs, and marketing automation programs such as nurture tracks. Develop … and camaraderie. Why Make a Move to FICO? At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today - Big Data analytics. You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine More ❯

Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success. Currently, we are looking for a Lead Site Reliability Architect for our team in the UK. Your daily responsibilities: Participating in various customer projects, from new infrastructure builds and migrations to … audits and big data Architect, implement, and improve existing monitoring and alerting systems Design and implement runbooks to allow support teams to attend to incidents Design, develop, implement, and improve new and existing solutions to automate tasks and reduce toil Lead, or form part of development teams responsible for the implementation of applications Advise and mentor development teams More ❯

Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate in hyperscaler cloud, enabling seamless migration, advanced security, and data-driven success. Currently, we are looking for a Lead Site Reliability Architect for our team in the UK. Your daily responsibilities: Participating in various customer projects, from new infrastructure builds and migrations to … audits and big data Architect, implement, and improve existing monitoring and alerting systems Design and implement runbooks to allow support teams to attend to incidents Design, develop, implement, and improve new and existing solutions to automate tasks and reduce toil Lead, or form part of development teams responsible for the implementation of applications Advise and mentor development teams More ❯

scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)? AWS is seeking a Sr. Specialist BD for AI/ML/GenAI. The Specialist BD will be responsible for defining … to reinvent their own business models by harnessing the power of AWS AI/ML solution and products, and finally deliver result. In addition, the Specialist BD will synthesize data and information gathered from these engagements into succinct findings, derive strategic insights, and persuasively communicate findings and perspectives to product and sales teams, including senior leadership. The Specialist BD … of customer-oriented experience, including enterprise sales, pre-sales, or solution architect experience. 3+ years of AI/ML, or other related technology or product background. Knowledge of cloud, big data, and machine learning, with technical selling experience. PREFERRED QUALIFICATIONS 1) Experience with artificial intelligence or machine learning product selling. 2) Knowledge of machine learning trends, typical scenarios More ❯

engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists … real solutions. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. ABOUT GOLDMAN SACHS At Goldman Sachs More ❯