1,151 to 1,175 of 3,193 Permanent Data Science Jobs

re here to onboard the world to Web3. Why? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it. What we do We're the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we … strategies, with a focus on identity fraud, payments fraud, account takeover (ATO) and fraud incident investigation, all while ensuring that decisions are based on robust analytics and large-scale data sets. Using data-driven insights, you will develop a deep understanding of MoonPays fraud prevention capabilities and collaborate with cross-functional teams including data science, security … fraud prevention to drive strategic and impactful results, and grow your career in a fast-paced, dynamic environment. What you will do Develop in-depth knowledge of MoonPay's data sources, user behaviour and products and services to gain insights into fraud patterns and assist in building out the Trust & Safety strategy; Provide Fraud subject matter expertise on new More ❯

ll help define how models are developed, deployed, and maintained in production—reliably and responsibly. This is a high-impact, hands-on leadership role. You’ll work across product, data science, and engineering to lead delivery of complex ML systems. You’ll also define the core MLOps capabilities for the business and establish the standards and patterns that … platform, working with engineering partners to improve scalability, governance, and developer experience • Contribute to responsible ML practices—supporting auditability, explainability, and model health monitoring Technical Leadership & Collaboration • Partner with data scientists to take models from prototype to production with clear interfaces and robust engineering • Lead cross-team technical design sessions and architectural reviews • Provide mentorship, pair programming, and code … ML system lifecycle: testing, monitoring, governance, observability • Excellent collaboration and communication skills; able to influence cross-functional teams and lead complex technical work • A background in software engineering, computer science, or a quantitative field—or equivalent experience leading ML systems in production There’s something for everyone. We’re a place of opportunity. You’ll have the tools and More ❯

Power, Utilities, Transport, Oil and Gas, Defence, Health and Education. We are strengthening our InfraTech capability to meet increasing demand from these organisations in support for how to use data, analytics and technology to unlock value from their assets and infrastructure. This is a fast-growing area offering exciting opportunities, building upon our global capabilities in Infrastructure, Asset Management … and Data Analytics. We are seeking an ambitious and innovative professional who is passionate about infrastructure and technology to join our Asset Management Advisory (AMA) team, with the skills and desire to combine the two to drive improvements for our clients. You will be responsible for helping grow and deliver our InfraTech business, working with client organisations and other … solutions for client challenges Work with KPMG's Global InfraTech network to identify, develop and deploy appropriate tools and methodologies Work with KPMG's and Client’s technology and data analytics teams to develop and deploy proof of concepts and solutions Use your analytical skills to bring new insights to clients Support change management of client teams to embed More ❯

R- Description Leidos currently has an exciting opportunity for a Senior Research Scientist to lead the development of Human Factors solutions for the Information and Data Sciences Division of the Leidos Innovations Center. This position will support multiple programs and projects as well as being responsible for tasking junior staff to support work environments. Additionally, this candidate should be … solutions. Note: This is a r emote position with options to be hybrid at either San Diego or Arlington locations. Primary Responsibilities Formulate, suggest, and manage complex influence operation data and software driven development projects using modern software architectures. Work with software engineers and data scientists to develop and utilize data pipelines to develop algorithms and/… focused solutions, experiments, and operations. 5+ years experience in psychological R&D and statistical analysis Experience in the cyber domain Basic knowledge and experience with AI/ML and data science Practical experience in influence operations and managing research solutions in the areas of interest Can act as SME for program engagements or proposal support Strong analytical skills More ❯

R- Description Leidos currently has an exciting opportunity for a Senior Research Scientist to lead the development of Human Factors solutions for the Information and Data Sciences Division of the Leidos Innovations Center. This position will support multiple programs and projects as well as being responsible for tasking junior staff to support work environments. Additionally, this candidate should be … solutions. Note: This is a r emote position with options to be hybrid at either San Diego or Arlington locations. Primary Responsibilities Formulate, suggest, and manage complex influence operation data and software driven development projects using modern software architectures. Work with software engineers and data scientists to develop and utilize data pipelines to develop algorithms and/… focused solutions, experiments, and operations. 5+ years experience in psychological R&D and statistical analysis Experience in the cyber domain Basic knowledge and experience with AI/ML and data science Practical experience in influence operations and managing research solutions in the areas of interest Can act as SME for program engagements or proposal support Strong analytical skills More ❯

Power, Utilities, Transport, Oil and Gas, Defence, Health and Education. We are strengthening our InfraTech capability to meet increasing demand from these organisations in support for how to use data, analytics and technology to unlock value from their assets and infrastructure. This is a fast-growing area offering exciting opportunities, building upon our global capabilities in Infrastructure, Asset Management … and Data Analytics. We are seeking an ambitious and innovative professional who is passionate about infrastructure and technology to join our Asset Management Advisory (AMA) team, with the skills and desire to combine the two to drive improvements for our clients. You will be responsible for helping grow and deliver our InfraTech business, working with client organisations and other … solutions for client challenges Work with KPMG's Global InfraTech network to identify, develop and deploy appropriate tools and methodologies Work with KPMG's and Client’s technology and data analytics teams to develop and deploy proof of concepts and solutions Use your analytical skills to bring new insights to clients Support change management of client teams to embed More ❯

R- Description Leidos currently has an exciting opportunity for a Senior Research Scientist to lead the development of Human Factors solutions for the Information and Data Sciences Division of the Leidos Innovations Center. This position will support multiple programs and projects as well as being responsible for tasking junior staff to support work environments. Additionally, this candidate should be … solutions. Note: This is a r emote position with options to be hybrid at either San Diego or Arlington locations. Primary Responsibilities Formulate, suggest, and manage complex influence operation data and software driven development projects using modern software architectures. Work with software engineers and data scientists to develop and utilize data pipelines to develop algorithms and/… focused solutions, experiments, and operations. 5+ years experience in psychological R&D and statistical analysis Experience in the cyber domain Basic knowledge and experience with AI/ML and data science Practical experience in influence operations and managing research solutions in the areas of interest Can act as SME for program engagements or proposal support Strong analytical skills More ❯

a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together! Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. Passionate Integrity, Driven by Excellence "Ardent Principles" signifies our unwavering commitment to excellence … what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with: Bachelor's degree in computer science, Cybersecurity, Information Technology, or a related field (or equivalent experience). CISSP, CASP+, CEH, GSLC, Security+, AWS Certified Security certifications or other relevant cybersecurity certifications. Hands-on experience with More ❯

of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for. Bachelor's degree in Computer Science, Software Engineering, Mathematics, Applied Mathematics, Machine Learning, Data Science, Computer Information Systems, Engineering, or related studies may be considered. High School/GED or Associate's degree … 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. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Dental insurance with 100% employer More ❯

growth of our P&C (re)insurance clients. With your expertise in P&C (re)insurance, your deep expertise in exposure management of complex risks, and your skills in data modelling and analysis, you will enable our clients to make faster, more accurate, and better-informed decisions through our SaaS platform. If you are eager to sit at the … specific challenges across all P&C lines including Property (nat cat and non-cat), Cyber, Casualty, Energy, Political and Credit Risks, Aviation Conduct in-depth audit of their portfolios, data, and processes, and identify optimization levers for more efficient exposure management. Clean, reconcile, and analyze exposure data to ensure the quality and reliability of delivered results. Perform advanced … zone, real-time event simulation, stress tests, deterministic scenarios, and prepare for the unexpected. Built compelling reports and visualizations to help clients make informed decisions. Collaborate closely with our Data Science and Product teams , sharing clients feedback and contributing to the continuous improvement of our tools and calculation methods. What we offer : We're building a company where More ❯

products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all … opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives. Position Overview Looking for a Senior Exploitation Specialist/Data Scientist to work in NCE, to help with important NGA mission supporting GEOINT. You would be providing regular and routine knowledge capture and knowledge sharing of tradecraft best practices … Responsibilities You would be directly supporting NGA by developing solutions that integrate technology, applied tradecraft techniques and processes, creating new products or paradigms that support advanced analytics and modeling, data management, application of modern software, artificial intelligence, and the future of work in this GEOINT space. • Develop and apply methods to add rigor and precision to intelligence analysis and More ❯

and do what's best for Bloomberg You'll need to have 5+ years of experience in technical product management Experience working with developerteams and productionizing AI or other data-intensive applications Breadth of knowledge or familiarity with GenAI platforms, MLOps platforms, AI toolkits Deep understanding of software development best practices Organizational and communication skills to effectively coordinate and … managers, and senior management A product-driven focus and track record of shaping business strategy and roadmaps for technical products We'd love to see A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and More ❯

innovation, efficiency, and productivity. The role will lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with … engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction Leadership and Collaboration : Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science … of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary Training and Support : Provide training and support to AWE employees on AI technologies and their applications. Ensure AI team members are equipped with the necessary More ❯

You’ll Be Doing: Own the technical strategy and execution across our core products, including real-time API services, forecasting engines, and LLM-driven insights. Partner with Product and Data Science to build and deliver the technology roadmap aligned with our strategic priorities. Lead and mentor a growing team (currently ~10, with plans to scale), fostering a culture … of technical excellence, ownership, and speed. Oversee architecture decisions, system scalability, and efficient data infrastructure design. Ensure engineering and delivery standards are met consistently while staying hands-on with key decisions. Hire top-tier talent and promote an inclusive and collaborative team environment. Oversee IT, DevOps, InfoSec, and Customer Engineering, ensuring smooth internal operations and secure infrastructure. Represent engineering … and commercial functions. Restrictions No telecommuting No Agencies Please Requirements Proven leadership minimum 8 solid years experience in a SaaS B2B environment, ideally in an AI/ML or data-centric company. Experience scaling teams in start-ups or Series A/B growth phases (experience at both start-up and enterprise level is a bonus). Deep technical More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … technical and strategic skills. Continuous Deployment: Work iteratively, supported by high test coverage, and contribute to the team's frequent deployment cycles (averaging more than once per day). Data-Driven Decision-Making: Use hypothesis testing and metrics such as issuance and profitability to quickly iterate and optimise our approach. The projects Operational processes and workflow automation: Improve Broker … as a senior engineer working in small, high-performing teams alongside engineers from other disciplines. Experience with relational databases (ideally PostgreSQL). Bonus: Experience with Django An understanding of data analysis and statistics. A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. The salary We expect to 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 . The Controllers division is responsible for financial control and regulatory … such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and data science skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage … a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication More ❯

uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Data Analytics & Computational Sciences Job Sub Function: Clinical Data Management Job Category: Professional All Job Posting Locations: High Wycombe, Buckinghamshire, United Kingdom Job Description: Senior Analytical Monitor x …/High Wycombe, UK Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the … way. Learn more at We are searching for the best talent for Senior Analytical Monitors x 3 in our Integrated Data Analytics and Reporting (IDAR) business - experienced individual contributors with strong knowledge of site monitoring and Analytical Risk Based Monitoring (ARBM) practices, data analytics, methods, processes, and technologies. The head office location is in High Wycombe, Buckinghamshire, UK More ❯

Be Doing: Develop, maintain, and extend core components of a modular platform framework, including frontend interfaces and backend services. Build secure, scalable APIs and microservices that enable integration between data services, visualization tools, and external systems. Collaborate with cross-functional teams including data scientists, DevOps engineers, and system integrators to ensure seamless interoperability. Design and implement user interfaces … and workflows for data exploration and interaction, working in modern frontend frameworks (e.g., React, Angular, Vue). Leverage cloud-native architectures (AWS GovCloud, Azure Government) to deploy and scale services in secure, compliant environments. Participate in agile development cycles, peer reviews, and system testing to ensure code quality and platform stability. What Required Skills You'll Bring: Active TS …/SCI clearance with polygraph Bachelor's degree in Computer Science, Software Engineering, or related field. 3+ years of experience in full-stack software development or system-level software engineering. Proficiency in backend languages like Python, Java, or Node.js, and frontend frameworks such as React or Angular. Experience building and consuming RESTful APIs, working with message queues, and integrating More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … effective Forecasting capacity needs for each team to eliminate operational bottlenecks. Evaluating the value of contacting customers at different points in the customer journey and testing these approaches. Conducting data analysis to inform your work and shape effective solutions. This involves conducting your own analysis and working with our Operations Strategy Data Scientists to get even more analytical … distil complex information into key points so that it is succinct and engaging in both written and verbal forms, and accessible to a range of stakeholders (whether that's Data Scientists, operations managers, C-level, etc.) Bonus: Experience with Python or SQL. If you don't have commercial experience then we'd want you to have enthusiasm to learn More ❯

an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program. THE PROJECT The DarkStar Group's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop … new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety … software solution. This position is for work across the cloud-based software development lifecycle (front end, back end, database, etc.). Design and implement all levels of the solution: data layer, application code, user interface. Design and deliver APIs and integrations with other software systems and databases. Architect for optimal use of enterprise infrastructure (cloud) and security requirements. Experience More ❯

an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program. THE PROJECT The DarkStar Group's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop … new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety … software solution. This position is for work across the cloud-based software development lifecycle (front end, back end, database, etc.). Design and implement all levels of the solution: data layer, application code, user interface. Design and deliver APIs and integrations with other software systems and databases. Architect for optimal use of enterprise infrastructure (cloud) and security requirements. Experience More ❯

maintenance of ongoing performance metrics, investigations, reports, analyses, dashboards, etc. to drive key business decisions. Participate in the build of scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making and support the Security & Loss Prevention operations in their day to day tasks and responsibilities. Recognize and adopt best practices in reporting … and analysis: data integrity, test design, analysis, validation, training, and documentation. Apply data mining and quantitative analysis to understand how our customers interact with us and identify the best way to improve the customer experience and meet our loss reduction goals. Acquire various data sources to enable holistic analysis at a global level. Establish performance benchmarks, conduct … of people management experience. 3+ years of experience in control room management, law enforcement, loss prevention, risk management, supply chain management, or other related field. Relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments. Experience in data mining and dataset preparation using SQL. Experience in data More ❯

VoC tool, building complex surveys, translating, and launching across multiple markets. Liaise with local markets to select survey channels and target appropriate customers. Collaborate with IT to extract customer data from CRM for surveys. Develop live dashboards to monitor scores in real-time and implement alert systems for low scores. Perform insightful analysis, including building text analytics models. Present … Research or relevant field. Minimum 5 years experience in Customer Experience or VoC roles. Healthcare/Pharma or B2B experience preferred. Expert in VoC tools (Qualtrics, Forsta). Strong data analysis and report creation skills using multiple data sources. CCXP certification is a plus. Project management experience. Proficient in data science techniques, including statistical analysis, text More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £60,000 per year. Pay is based on relevant experience, skills for the role … our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: Identifying trends, making links in the data, providing actionable insight, communicating and presenting results to key stakeholders of Pricing & U/W and Trading groups. Co-ordinating key outputs from Pricing & U/W and Trading … to be produced on a regular basis to ensure consistency. Regularly reviewing pricing and underwriting monitors, ensuring key points and changes in trends are escalated. Continually looking to improve data, processes and reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £60,000 per year. Pay is based on relevant experience, skills for the role … our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: Identifying trends, making links in the data, providing actionable insight, communicating and presenting results to key stakeholders of Pricing & U/W and Trading groups. Co-ordinating key outputs from Pricing & U/W and Trading … to be produced on a regular basis to ensure consistency. Regularly reviewing pricing and underwriting monitors, ensuring key points and changes in trends are escalated. Continually looking to improve data, processes and reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for More ❯