176 to 200 of 4,114 Computer Science Jobs

Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI tools and best practices. Stay … Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred). Whats on Offer We believe in rewarding our team for their contributions. Here's what you can expect More ❯

lifecycle methodology. • Must be well experienced in design and development of Microservice using Java, Spring-Boot, Rest API, JPA and JQL Required Skills and Experience • Bachelor's degree in computer science or related engineering field with 10+ years of technical experience • Provisioning, operating, and maintaining systems running on AWS (or equivalent cloud providers) • Strong experience with Spring Boot … Bus frameworks (preferably under Cloud environment) • Agile Scrum and possibly experience with leading a Scrum team as a scrum master or equivalent • PostgreSQL, DynamoDB, HBase, MongoDB, Cassandra • Masters in Computer Science or related field Customer Requirements • Clearance - Ability to obtain and hold a public trust position and favorable suitability based on a CBP Background Investigation • Citizenship - Must be More ❯

enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention … models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with … extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data More ❯

have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead … You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross … functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

following: Maintain deep expertise in one or more AI technology areas. Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact Sciences. Develop perspectives on "AI technology affordance": what do these advances in AI technology allow us to do (more efficiently and/or more effectively) that we … strategy at Exact Sciences that empowers the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics and data science processes and outcomes. Contribute to internal initiatives to build training resources, develop knowledge bases, and educate on advanced AI and ML technologies and best practices for leveraging them. Provide … with an inclusion mindset and model these behaviors for the organization. Ability to work designated schedule. Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day. Ability to travel 5% of working time away from work location, may include overnight/ More ❯

Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI tools and best practices. Stay … Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred). Whats on Offer We believe in rewarding our team for their contributions. Here's what you can expect More ❯

Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced … collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

strong technical focus in product planning for a complete software system. Job role contributes directly to value creation. Skills typically acquired through the completion of an undergraduate degree in Computer Science, Geoscience, Petroleum Engineering or similar discipline, and 10+ years of related experience or through 14+ years of software testing and/or development experience. Completion of a … of the product via test suite results and defect inflow/outflow Identifying and escalating project risks Qualifications & Experience Required Education and Skills BS or MS in Geology, Geophysics, Computer Science or related Engineering discipline 14+ years' experience testing enterprise software or related domain experience Proficient with both Windows and Linux platforms Must be self-motivated but be … law or regulation . Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 201961 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time/Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience. More ❯

practices for evaluation, deployment, observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python More ❯

practices for evaluation, deployment, observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python More ❯

practices for evaluation, deployment, observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python More ❯

practices for evaluation, deployment, observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python More ❯

practices for evaluation, deployment, observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python More ❯

from user story creation to testing and deployment * Tackle complex challenges with creative, collaborative solutions What You'll Need to Succeed Essential Skills: * Degree (2:1 or above) in Computer Science, Engineering, Mathematics, or a related field * Proficiency in C#, C++, or Python * Solid grasp of software design principles and best practices * Experience with test-driven development * Passion … for applied science, engineering, and model development * Strong object-oriented programming skills * Excellent communication and teamwork abilities * Self-motivated, organised, and eager to learn Desirable Skills: * ASP.NET Core (including Blazor) * JavaScript/TypeScript (especially React) * 3D data manipulation * Interest in machine learning and data science * Experience with CI/CD and Infrastructure as Code (IaC) * Familiarity with cloud More ❯

schedule patches, upgrades, releases, etc. Conduct Joint Release and Deployment Management Meetings: Establish agenda, maintain meeting invite, conduct meeting; provide minutes and actions. Required Qualifications: Bachelor's degree in computer science, Information Technology, Engineering, or a related field (preferred but not required) and 4-8 years relevant experience. A master's degree in computer science, Information More ❯

with AWS GovCloud setting up a CI/CD pipeline • Developing launch configurations for deployment into AWS GovCloud • Experience with automated test tools Qualifications A Bachelor's degree in Computer Science or equivalent. Minimum 8 years of progressive hands-on experience. More ❯

is mission focused and delivery oriented, and applies critical thinking to create innovative functions and solve technical issues. Who we are Client is a Fortune 500 technology, engineering, and science solutions and services leader working to solve the world's toughest challenges in the defense, intelligence, civil, and health markets. Client Civil Group helps the government modernize operations with … and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We work with our customers including the FAA, DOE, DOJ, NASA, National Science Foundation, Transportation Security Administration, Custom and Border Protection, airports, and electric utilities to make the world safer, healthier, and more efficient. In this role, you will: • Maintain and operate … Actively engage in continuous learning to increase relevant skills. • Maintain strict versioning and configuration control to ensure integrity of data. For this position, you must possess: • BS degree in Computer Science or related field and 8+ years or Masters with 6+ years of experience • 4+ years of experience developing and maintaining ETL processes using Microsoft SSIS, SQL, SQL More ❯

storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands … on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product companies. Knowledge of big data frameworks More ❯

storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands … on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product companies. Knowledge of big data frameworks More ❯

storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands … on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product companies. Knowledge of big data frameworks More ❯

About the Role Grade Level (for internal use): 12 The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/… areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients Lead data science product development start to end from PoC to full production Actively research, explore and identify the latest relevant techniques Identify opportunities for innovation across the Market Intelligence division and … to internal stakeholders, advice and guide on model and data suitability Guide and mentor junior data scientists on technical subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services More ❯

this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and creating an inclusive and collaborative environment Architect and design scalable machine learning systems that solve complex challenges Develop and execute the data science … to deployment Make high-impact technical decisions and provide guidance Establish best practices in software engineering and machine learning development Implement rigorous code quality and testing standards across data science projects Support talent acquisition and continuous learning initiatives Knowledge and Experience Knowledge of ML model development and deployment frameworks (MLFlow, Kubeflow Advanced data querying (SQL) and data engineering pipelines … coverage strategies Experience working with Product Management teams and ability to translate complex technical concepts for non-technical stakeholders Education PhD's, Master's, or Bachelor's degree in Computer Science, Machine Learning, or related field Driving Continuous Improvement Driving for Results Driving Projects to Completion Interacting with People at Different Levels Communicating Effectively Prioritizing and Organizing Work More ❯

GovCloud, SC2S, C2S) • Windows and Linux operating systems Additional Technical Experience Experience with: • Angular, React, or other modern frontend frameworks • DevSecOps practices and tools Qualifications • Bachelor's degree in Computer Science, Data Science, Engineering, or related field • Minimum of 10 years of experience in data engineering or related field • Active Top Secret (TS) clearance with eligibility for More ❯

TITLE: ENTERPRISE ARCHITECT AI/DATA JOB LOCATION: WASHINGTON, DC WAGE RANGE : 87-92/hr JOB NUMBER: 25-03420 REQUIRED EXPERIENCE: • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. • 7+ years of experience in enterprise architecture, with at least 3-5 years of focused experience in … CCPA) and their impact on AI and data architecture. • Experience with data visualization tools like Power BI, Tableau, or Looker. • Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate). Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities More ❯

solutions to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Strong analytical and problem-solving skills with a keen attention to detail. Basic knowledge of data visualization tools More ❯