2,576 to 2,600 of 4,506 Data Science Jobs

strategy to integrate the NVIDIA platform into these company’s products. Develop and maintain deep technical expertise in agentic AI systems, open models, data science applications, and GPU-accelerated computing. Serve as the trusted technical advisor, problem solver, and champion for the developers within the software companies … NVIDIA platform into software company’s products. What We Need to See Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field. A minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships ...

support Windows server configuration, develop APIs, and assist with Microsoft SQL Server administration. Who We Are : Ardent Principles delivers cutting edge capabilities across data science, data engineering, software engineering, AI solutions, cybersecurity, and IT program management. We thrive at the intersection of mission, technology, and innovation. Passionate ...

deploying, testing, and validating software on autonomous systems in dynamic, operationally relevant settings. You will collaborate closely with software engineers, autonomy engineers, perception teams, data scientists, and field operators to ensure systems are robust, reliable, and ready for deployment. At Applied, you will: Define system requirements from user needs … deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation Address inter‐vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment Collaborate ...

global cybersecurity P&L. Collaboration, both within our team and with other parts of the business (such are Strategic Communications, Technology and Data Science), are central to how we operate. Our engagements typically draw on expertise from across our business and geographies.After a period of extensive growth … into Incident Reports for wider consumption.* Experience using EDR tools such as SentinelOne, Carbon Black etc.* Knowledge of Chain of Custody procedures.* Understanding of data loss/data theft prevention concepts and technologies.* Threat modeling fundamentals.Preferred Qualifications* Certifications related to DIFR, i.e., GCFE, GCFA, GREM, GNFA ...

applicable Strong mathematical and analytical skills - ability to build and run models and scenarios Advanced Microsoft Excel skills (including financial modelling, scenario tools, and data manipulation) Experience of interest income forecasting or similar financial forecasting Excellent communication and presentation skills, with the ability to explain complex analysis clearly … experience working within, CASS and MIFIDPRU regulatory requirements Experience working with FIS Integrity or a comparable Treasury Management System Familiarity with AI or data science tools (e.g. Python, Power BI, or equivalent) applied to finance or risk Experience working at a retail investment platform, wealth manager, or similar ...

models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you’ll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We’re looking for someone who can grasp … problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front ...

credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This … team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. ...

operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world’s leading public cloud and silicon providers, and industry leaders in many … accurate, consistent,and highly automated. Perhaps unusually we prefer a leader with deep personal interest in the software and technology industry, and ideally some data analytics and software engineering experience. The Cost Accounting Manager will ensure the proper application of cost accounting guidance for public market scrutiny. This ...

trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact … Proficiency: Strong programming skills in .NET Core or another strongly typed backend language such as Java or Kotlin, with experience building APIs, services, or data pipelines. Operational Mindset: Deep understanding of system reliability, observability, and "up-front" design for maintainability. Curiosity: You're naturally curious and eager to understand ...

operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many … delivery of timely, high quality software You have experience and commitment to agile development methodologies You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree Software development experience in Python or Golang Effective written and verbal communication skills Practical experience with Linux system administration What ...

global cybersecurity team and P&L. Collaboration, both within our team and with other parts of the business (such are Strategic Communications, Technology and Data Science), are central to how we operate. Our engagements typically draw on expertise from across our business and geographies.As a relatively new team … risk assessment frameworks (e.g., NIST CSF, CIS, NIST 800-53, ISO 27001) and their unique differences.* Awareness of the regulatory landscape and well-known data privacy, cybersecurity, and operational resilience regulations.Preferred Qualifications* Familiar with threat intelligence tools, frameworks, and OSINT.* Relevant cybersecurity certifications (e.g., CompTIA Security+, CISSP, ISO, CISM ...

integrating models in production, not solely research or academic exposure - Proven people leadership: you've managed and performance-managed an AI, ML or data science team, with real scope and seniority behind it - Strong proficiency in Python, R or C#, plus hands-on experience with a major cloud ...

Platform Engineer Role type: Contract Location: London/remote Preferred start date: ASAP LIFE AT SATALIA As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals ...

Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber Security, National Security, Law Enforcement, Telecommunications, Defence, Science and Technology. The Technical Consultant provides specialist technical design, build and assurance expertise for our clients in complex, secure environments. The role connects operational … analytical thinking & problem-solving skills. Expertise with one or more of the following: Solution Architecture, Software development, Telecommunications & networking, Cyber Security and/or Data Science. Security architecture, secure-by-design principles and systems assurance/accreditation considerations. Technical governance, design assurance, risk management and lifecycle/transition planning. ...

companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. ...

Document Verification portfolio. Analyse customer journeys and product performance to identify opportunities to improve verification outcomes. Partner closely with Engineering, AI/ML, Data Science and Design to deliver innovative document verification capabilities. Drive improvements in verification accuracy, customer conversion, operational efficiency and fraud prevention. Work closely with ...

multiple client engagements. Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments. Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation. Managing and coaching a distributed team of engineers, setting ...

travel expected). You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution … long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group ...

production-grade AI agents and scalable ML-powered services. You will design, implement, and monitor agentic systems that automate complex underwriting decisions, collaborating with data scientists and software engineers in a fast-paced Data & AI unit. The role emphasizes robust architecture, testability, and maintainability, with hands-on Python ...

Overview Working closely with Business Integrators, data scientists, engineers, and client stakeholders, the AI Solutions Engineer leads the technical design and implementation of AI-driven solutions. The role combines deep technical expertise with leadership skills to guide teams in building high-quality AI systems that deliver real business value. … Solutions Engineer also ensures that solutions are aligned with enterprise architecture standards, data governance principles, and responsible AI practices. Key Responsibilities Design AI Solution Architectures Translate business use cases into scalable AI and data architectures. Define the technical approach for AI solutions, including model architecture, data pipelines ...

go. Join EY and help to build a better working world. We are looking for a seasoned product leader to build and scale data products that power differentiated insights across Strategy and Transactions (SaT). This role sits at the intersection of product management, data, and deal delivery … owning the end-to-end lifecycle of SaT data assets (benchmarks, KPIs, insights) from strategy through execution and adoption. You will transform fragmented engagement data into high-quality, reusable data products that drive better, faster, and more defensible client outcomes. What You’ll Own Product vision ...

seeking an experienced pricing and analytics quant developer to join our real-time data analytics team. As part of a multidisciplinary group, you will collaborate with quantitative analysts, data scientists, and developers to produce high-quality data for the Fenics Market Data business. Your work will … have a significant impact, both internally and externally, as our data is widely used across the industry. Responsibilities Develop pricing models within an application development framework, ensuring resilience and best practices. Contribute to and utilize quantitative libraries for efficient model development. Integrate pricing models and collaborate with team members ...

optimise their working capital. Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients systems. You will be joining a strong team of Python Engineers, Data Scientists … contribute to the design, development, and delivery of scalable, high-impact features across our platform. Youll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership ...

platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JOB DETAILS JOB BAND: C CONTRACT TYPE: Full-time, Permanent DEPARTMENT: Data Platforms LOCATION: Salford Dock House (Primary), London Broadcasting House, Glasgow Pacific Quay (1 day a week hybrid) PROPOSED SALARY RANGE … Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver the tools, platforms, and capabilities that empower data scientists and engineering teams across the organisation. Your work will enable scalable, high-quality machine learning workflows and help shape the BBC's future through ...

seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data-driven decision-making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance … Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high-quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support ...