1 to 25 of 716 Algorithms Jobs

business area and its strategic outcomes, the business processes and metrics that drive performance. Technical skills required: Foundational understanding of machine learning techniques and algorithms or decision science domains (eg. clustering, decision trees, logistic regression, basket analysis, optimisation, simulation) to deliver rapid business insight; Practical knowledge of core data modelling more »

business area and its strategic outcomes, the business processes and metrics that drive performance. Technical skills required: Foundational understanding of machine learning techniques and algorithms or decision science domains (eg. clustering, decision trees, logistic regression, basket analysis, optimisation, simulation) to deliver rapid business insight; Practical knowledge of core data modelling more »

to adapt to different clients and businesses, ability to be proactive and navigate uncertainty. Technical skills required: Foundational understanding of machine learning techniques and algorithms or decision science domains (eg. clustering, decision trees, logistic regression, basket analysis, optimisation, simulation) to deliver rapid business insight; Practical knowledge of core data modelling more »

/Qualifications/Professional Certificates: BS/MS in Data Science, Computer Science, Applied Mathematics, Statistics, or a related field; Computer Science knowledge (classic algorithms and data structures); Ability to work independently and proactively (must); Superior analytical skills (must); Creative problem-solving and strong detail-oriented abilities (must); Strong written more »

we would love to welcome you aboard. Role Overview Location: Remote (Full time) What you’ll get to do: Work with developers to design algorithms and flowcharts Produce clean, efficient code based on specifications Integrate software components and third-party programs Verify and deploy programs and systems Troubleshoot, debug and more »

random forest, XGBoost, deep learning, clustering), and other data science techniques (e.g., time series analysis, NLP, computer vision, mathematical optimization). Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL more »

Work with teams across Cirium to unlock value with new derivations and combinations of Cirium’s data Collaborate with data science to employ their algorithms within a data pipeline Employ modern software development methodologies, such as clean code, iterations, backlog management, peer review, and pairing. Work closely with SMEs, product more »

with a focus on FinTech or related industries. Proficiency in programming languages such as Java, Python, or C++. Strong understanding of software design principles, algorithms, and data structures. Nice to have: Familiarity with cloud computing platforms (e.g., AWS, Azure) is a plus. Excellent problem-solving and communication skills. If this more »

creation, selection of sampling criteria and performance definition, and variable selection, and experiments with different types of techniques and models to identify the best algorithms to employ. Project Management Experience Demonstrated ability to manage simultaneous projects of medium to large scope and varying complexity; adjust to changes in priorities easily more »

in Core-Java (server-side). Financial (any of: risk/front office, derivatives, analytics, finance, market data) Strong fundamentals in data structures and algorithms Experience in architecting/designing large-scale business critical systems. Object oriented design and usage of commonly used design patterns. Multi-threading, collections, JVM, Garbage more »

in Core-Java (server-side). Financial (any of: risk/front office, derivatives, analytics, finance, market data) Strong fundamentals in data structures and algorithms Experience in architecting/designing large-scale business critical systems. Object oriented design and usage of commonly used design patterns. Multi-threading, collections, JVM, Garbage more »

Responsibilities: Analyze and interpret complex data sets to identify trends, patterns, and opportunities for process optimization. Develop and implement predictive models and machine learning algorithms to enhance decision-making processes. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Utilize data visualization tools to more »

of the team. Willingness to learn domain fundamentals and explain calculation logic to users. Qualifications Computing fundamentals: Working knowledge of common search and sort algorithms, basic data structures such as lists, maps, trees, and graphs, multi-threaded programming, computer networking, and operating systems. Databases: Basic knowledge of SQL. Familiarity with more »

handling large complex data sets; and You will have managed and developed teams and have experience in technical coaching. Technical skills: Ability to run algorithms to deliver rapid business insight; Ability to lead multiple projects, across a variety of teams; Ability to own client relationships and manage them throughout the more »

attention to detail, proficient in analytical thinking and problem-solving. Able to communicate with all levels of stakeholders. Solid understanding of software development methodologies, algorithms, data structures, and design patterns. Experience with web or mobile application development and related frameworks. Proficient in one or more programming languages - Java, C++, UniVerse more »

attention to detail, proficient in analytical thinking and problem-solving. Able to communicate with all levels of stakeholders. Solid understanding of software development methodologies, algorithms, data structures, and design patterns. Experience with web or mobile application development and related frameworks. Proficient in one or more programming languages - Java, C++, UniVerse more »

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses more »

a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses more »

designers to create responsive, visually appealing, and user-centric UI components. Develop server-side logic using Node or Python. Optimize application performance with efficient algorithms and data structures. Deploy applications to various environments, ensuring optimal configuration. Our Technology Stack : Frontend: JavaScript/TypeScript/React, Mobx for state management. Backend more »

legal and professional services sector. Key Responsibilities: As a Software Engineer, responsibilities will include: - Researching, designing, and implementing Generative AI models and machine learning algorithms tailored to organizational needs. - Collaborating with cross-functional teams to identify opportunities for AI integration, especially in automating repetitive tasks, document analysis, contract review, and more »

prototypes and proof of concepts to demonstrate the feasibility and potential of AI and IoT solutions. Algorithm Development: Design, implement, and optimize machine learning algorithms for various applications, including predictive analytics, natural language processing, computer vision, and IoT data analysis. Data Collection and Preprocessing: Gather and preprocess data from various more »

s in Computer Science, Mathematics, Electrical Engineering, or a related field. Technical Proficiency: Solid experience in Java, with a good grasp of data structures, algorithms, and software design. Experience with Scala, Python, Spark, Linux scripting, and TDD (JUnit) is beneficial. Experience Requirements: Demonstrated ability in software development, preferably with diverse more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

Java, plus related tools and technologies and open-source libraries such as Spring. Good understanding of the fundamentals of computing (e.g. logic, data structures, algorithms, low-level architecture, systems infrastructure, network stack). Experience with data persistence frameworks and databases (relational or No-SQL databases) Exposure to cloud (AWS, Azure more »