1 to 25 of 1,005 Algorithms Jobs

of Iodine and the Data Science team. Collaborate with teams, including both technical and business teams, from different functional areas to solve complex problems. Develop statistical and machine learning algorithms, named entity recognition/named entity linking models, inference rules, probabilistic models, simulation models, and visualizations for client pilots and scaled solutions. Lead multiple projects in parallel and assist other More ❯

complex data sets and derive actionable insights. PREFERRED EXPERIENCE: 3+ years of combined experience in machine learning model development, data analysis, and statistical modeling. Strong understanding of machine learning algorithms, model evaluation metrics, optimization techniques, and statistical analysis techniques. Demonstrated ability to implement, validate, and improve supervised and unsupervised learning models. Excellent knowledge of Excel, Python, SQL, and database systems. More ❯

of experience OR PhD with industry or research experience in relevant areas Preferred Qualifications Advanced proficiency in Python and C++ Strong knowledge of object-oriented design, data structures, and algorithms Experience in real-time or embedded software development Familiarity with network communication protocols and hardware software integration Hands-on experience with ROS, Linux-based development, and/or real-time More ❯

a spectrum of capital market products. Required Qualifications Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience Strong background in Computer Science fundamentals including algorithms, data structures, computational complexity. Non-Technical Skills Excellent communication skills and teamwork is a must Experience collaborating efficiently within a global team. Demonstrable experience in fast-paced environments, supporting flexible More ❯

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and More ❯

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Ability to compile and organize statistical information retrieved and present findings to management Faculty to work toward More ❯

solving ability. Understanding of Agile development methodology. Experience with space domain awareness, satellite operations, or space operations. Key Responsibilities Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities. Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale More ❯

reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Requires strong coding skills with emphasis on logical thinking, data structures, algorithms, and problem-solving capabilities. - Experience with distributed (multi-tiered) systems architecture - Experience performing live system and core analysis using GDB Amazon is an equal opportunity employer and does not discriminate More ❯

data products. We're hiring a Data Scientist to support our Sports Data Models Duties: Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products. Develop contextualized feature sets using sports specific domain knowledge. Contribute to all stages of model development, from creating proof-of-concepts More ❯

structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. Writing and optimising complex More ❯

significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered More ❯

technical proficiency in machine learning, adaptability, and a passion for delivering impactful AI solutions in dynamic environments. Key Responsibilities: AI Solution Deployment: Deploy, configure, and fine-tune AI models, algorithms, and platforms to meet client-specific use cases, ensuring seamless integration with existing systems. Model Development & Optimization: Build, train, and optimize machine learning models (e.g., LLMs, computer vision, predictive analytics More ❯

for text, and retrieval augmented generation (RAG). Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects. Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks. Experience with version control systems like Git, enabling effective collaboration and code management. Experience in an ML engineer or data More ❯

drive continuous improvement.Desirable Extensive experience of developing complex modelling applications in an underwriting environment Working knowledge and experience of Python - developing applications for pricing and modelling to implement pricing algorithms; Cloud development + Familiarity with Docker and Kubernetes. + Proficiency in AWS or Azure; Knowledge of design patterns and able to implement where appropriate; Working knowledge of software delivery and More ❯

with interested stakeholders. To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms. You must be persistent and have excellent analytical and problem-solving skills. Devise More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

operational performance for global clients. Key Responsibilities Analyse complex industrial and operational datasets to identify patterns, inefficiencies, and optimisation opportunities. Support the development and testing of mathematical models, optimisation algorithms, and forecasting tools. Work collaboratively with product managers, engineers, and domain experts to translate data insights into product features. Prepare clear, concise visualisations and reports for internal stakeholders and senior More ❯

in Computer Science, Electrical Engineering, Machine Learning, or related technical field. Proficiency in one or more modern programming languages such as Python, C++, or Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building More ❯

in computer science, mathematics, physics, statistics, or related field. Strong experience with applying expertise in model design, training, validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with Natural Language Processing/Natural Language Understanding. More ❯

and complex datasets (structured, semi-structured, unstructured) to derive features and insights, applying advanced ML/AI techniques (deep learning, NLP, CV, generative models, reinforcement learning) as appropriate.Choose appropriate algorithms and frameworks (supervised, unsupervised, deep neural networks, transformer architectures, etc, implement, fine-tune and optimize for latency, throughput, cost, accuracy, and bias/robustness.Deploy solutions into production in cloud and More ❯

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. The Senior More ❯

one of our hub locations. Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies More ❯

containers (Docker, Kubernetes) and experience with cloud platforms such as GCP, Azure or AWS. Strong experience working with Kafka technologies. Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts. Good understating of cloud storage, networking, and resource provisioning It would be great if you had... Certification in GCP "Cloud Architect", "Cloud More ❯

experienced engineers, works independently and in collaboration with others on multiple projects which are complex in scope. This role applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of More ❯