26 to 50 of 1,985 Permanent Algorithms Jobs

achieve organizational goals, with a commitment to fostering an inclusive and innovative culture. Foundational knowledge of programming languages (e.g., React, Python, JavaScript, Java, C++, C#), databases, data structures and algorithms Understanding of software skills including business analysis, development, maintenance, and software improvement. Proficiency in developmental toolsets Basic knowledge of industry-wide technology trends and best practices Exposure to agile methodologies More ❯

of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At More ❯

test environments, executing test procedures, documenting test results and modeling against real-world data, test data, benchmarks, or other similar models Leads the documentation and maintenance of technical code, algorithms, specifications and descriptions of simulation models Partners with cross functional engineering teams to lead integration of simulation software with hardware devices and systems Leads implementing current and emerging technologies, tools More ❯

Join to apply for the Quantitative Developer role at Barclays Business Banking 1 day ago Be among the first 25 applicants Join to apply for the Quantitative Developer role at Barclays Business Banking Get AI-powered advice on this job More ❯

Job Category: Business Analytics Requisition Number: DATAS001798 Job Details Description Join our dynamic Advanced Analytics team as a Data Scientist, where your expertise will shape the future of decision-making at our company. In this pivotal role, you'll harness More ❯

data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

This is no start-up. We’re already trusted by our clients to manage hundreds of millions of media spend. At the heart of the product is our proprietary algorithms, developed in-house and refined by the team over time. These algorithms enable the platform to make budget and targeting adjustments that improve campaign performance, everyday, for everyone of our … clients across the globe. Our ambition as a Data Science team is to further extend such competitive advantage by innovating our algorithms and expanding into more digital advertising platforms. We are on the lookout for a Senior Data Scientist to join our team to further improve our proprietary algorithms, as well as to innovate the product with latest advances in … The role will report to VP Data Science and be part of a small (but growing!) team of Data Scientists. The ideal candidate will have a background in optimisation (algorithms, or related ML disciplines), strong statistical knowledge and hands-on cloud technology experience. As our algorithms are all proprietary and built on in-house team, the candidate needs to be More ❯

to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Senior Data Scientist … and storytelling skills with both technical and non-technical audiences. Ability to present complex technical subjects to non-technical stakeholders. Ability to read AI research publications and implement the algorithms & architectures from scratch. Advantages Advanced knowledge in generative models: Auto-encoding, adversarial models, compression. Worked on deep learning graph model solutions with 10's of TB of data. Publication in More ❯

who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. … The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? • Expert knowledge of data structures, algorithms, and modern design patterns and data layers • Expert knowledge of Golang • Passion to build internal solutions and own development of enterprise-wide applications • Extensive knowledge of building quality APIs for More ❯

all stages of the data lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model Training and Optimisation Design, develop, and implement advanced machine learning algorithms for fraud prevention and user personalization Train and fine-tune machine learning models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining … to extract meaningful insights and features for model training Code Review and Documentation Conduct code reviews to ensure high-quality, scalable, and maintainable code Create comprehensive documentation for developed algorithms and models Collaboration Collaborate with our cross-functional team; including the founders, sales, data scientists, engineers, and product to understand business requirements and implement effective solutions Research and Innovation Stay … Data Science, or a related field. 7+ years of professional experience in a relevant area like fraud prevention or credit scoring Machine Learning Expertise: Strong understanding of machine learning algorithms and their practical applications, particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and More ❯

the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather … to identify the most efficient routes. Optimized routing not only shortens travel time but also makes ETA predictions more reliable. 5. Machine Learning for Anomaly Detection: Implement machine learning algorithms to detect anomalies that could affect delivery times, such as unexpected traffic jams or vehicle breakdowns, and adjust ETAs accordingly. 6. Sensor Data Utilization: Leverage data from IoT devices and More ❯

data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests). Proficiency with Java and Python, understanding of data structures, algorithms, and software design patterns. Experience with AI/Gen AI frameworks like More ❯

model development to the deployment and monitoring of machine learning systems. You'll immediately provide value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build … Improvement: Implement tools for real-time model monitoring, evaluate performance, and drive continuous improvements to models and pipelines. Experimentation & Innovation: Explore emerging ML techniques, deep learning methods, and advanced algorithms to enhance model capabilities and introduce new solutions. Continuous Learning: Stay current with industry trends and emerging technologies in data science and machine learning to identify new opportunities and techniques. More ❯

particular project. Design and development of relational and non-relational database applications. Use of orchestration frameworks such as Spring and Kafka. Familiarization with queue management systems Develop or implement algorithms to meet or exceed system performance and functional standards. Develop and execute test procedures for software components. Develop software solutions by analyzing system performance standards and conferring with users or … with container technologies (i,e. Docker). Unix shell scripting Development of event driven, or data driven analytics Development of cloud-based solutions and technologies. Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints. Perform quality control on team products. Recommend and implement suggestions for improving documentation and software development process standards. Oversee one More ❯

to Portfolio and Risk Managers Required skills/experience: Strong analytical and mathematical skills, with interest and/or exposure to quantitative finance Good understanding of various design patterns, algorithms & data structures Substantial experience using modern Java Experience with REST APIs and cloud services Relational SQL database development experience Unix/Linux command-line experience Ability to work independently in More ❯

to Portfolio and Risk Managers Required skills/experience: Strong analytical and mathematical skills, with interest and/or exposure to quantitative finance Good understanding of various design patterns, algorithms & data structures Substantial experience using modern Java Experience with REST APIs and cloud services Relational SQL database development experience Unix/Linux command-line experience Ability to work independently in More ❯

delivering timely solutions to Portfolio and Risk Managers. Required skills/experience: Strong analytical and mathematical skills with interest or experience in quantitative finance. Good understanding of design patterns, algorithms, and data structures. Significant experience with modern Java. Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line proficiency. Ability to work independently More ❯

all audiences. Mentor junior team members and support capability growth. Work with engineers to productionise solutions. What we’re looking for: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding More ❯

all audiences. Mentor junior team members and support capability growth. Work with engineers to productionise solutions. What we’re looking for: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding More ❯

models, and ensure seamless deployment and integration. Key Responsibilities Collaborate with clients to identify business challenges and opportunities for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI More ❯

Apply applied data science for mission analysis and solution design Perform model governance, validation, sustainment, and impact analysis Software & Systems Engineering Engineer modular, testable, reusable software components and AI algorithms Apply secure coding practices across lifecycle (DevSecOps) Conduct system security engineering and software testing (DT&E, OT&E) Integrate AI models into operational systems and federated architectures Support systems maintenance More ❯

architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect More ❯

architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect More ❯

provide customer service for seller products. Currently, Sellers constitute the majority of the business on The FBA team is responsible for the science, business, and operations of core systems, algorithms, and seller-facing tools and workflows of the FBA service. These systems enable FBA sellers to enroll products, plan inbound shipments, and manage inventory within Amazon's fulfillment network, overseeing More ❯

to-image and 3D/graphics tasks . Collaborate with 3D graphics and rendering teams to integrate AI models into interactive applications and pipelines. Prototype, benchmark, and productionize new algorithms that advance real-time generative AI for both 2D and 3D content. Research and experiment with emerging techniques to keep our technology at the cutting edge. Work cross-functionally to More ❯