676 to 700 of 6,460 Computer Science Jobs

using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. Communicate complex concepts and hypothesis to a non-technical audience through digital … storytelling. Requirements A minimum of 1 year of hands-on Data Science experience is required. Bachelor's Degree in a STEM field is required. Proficient with one or more programming languages (Java, C++, Python, R, etc.) Demonstrated ability to apply data science to solve real-world problems Secret ...

market offerings and driving our success in the dynamic world of sports betting. This is an opportunity to leverage your expertise in data science, machine learning, and AI to build models that predict outcomes, manage risk, and unlock new possibilities in micro-markets and derivatives. A taster of what … refinement of our analytical tools. What we are looking for Education PhD, Masters, or Bachelor’s degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Physics, Engineering). Programming Skills Proficiency in C# and Python is essential. Modelling Expertise Strong knowledge of statistical and machine learning modelling ...

using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. Communicate complex concepts and hypothesis to a non-technical audience through digital … storytelling. Requirements A minimum of 1 year of hands-on Data Science experience is required. Bachelor's Degree in a STEM field is required. Proficient with one or more programming languages (Java, C++, Python, R, etc.) Demonstrated ability to apply data science to solve real-world problems Secret ...

technical audiences Ensure adherence to all applicable risk, control, and governance requirements Required Qualifications, Capabilities, And Skills Bachelor's degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline Experience developing and deploying machine learning or AI solutions using modern tools … large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem-solving, and communication skills Ability to manage multiple priorities and deliver results in a collaborative environment ...

technical and non-technical audiencesEnsure adherence to all applicable risk, control, and governance requirementsRequired Qualifications, Capabilities, and Skills:Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative disciplineExperience developing and deploying machine learning or AI solutions using modern tools … knowledge of large language models, agentic frameworks, or generative AI technologiesExperience with statistical analysis, experimentation, and model evaluation methodologiesProficiency in Python, SQL, and data science tooling used in enterprise environmentsStrong analytical, problem-solving, and communication skillsAbility to manage multiple priorities and deliver results in a collaborative environmentPreferred Qualifications, Capabilities ...

e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field. Linux: understands the OS architecture, fluent user of the command line, speaks Perl ...

SCRUM. Advanced written and verbal communication. Passion for delivering high-quality software and a positive approach to continuous improvement. Education/Professional Qualifications Computer Science or Science-based degree #J-18808-Ljbffr ...

evaluating technical feasibility, vendor capability, total cost of ownership, and time-to-value, then manage the chosen delivery path to completion. Work with data science and ML engineers, managing them to defined milestones and value targets. Monitor deployed solutions and manage model performance, iteration, and stakeholder reporting. Change Strategy … Masters, MBA, JD, MD) or 3 or more years of experience with a PhD8+ years in product/project management, AI delivery, or data science role, with hands-on experience building and deploying AI or ML solutions in a business context. Proven track record of owning AI or data ...

knowledge sharing Participate in Agile and Scrum ceremonies, using Jira to manage and track workload What You'll Need Essential: Bachelor's degree in Computer Science, Data Science or a related technical field, or equivalent work experience 1 to 3 years of experience developing and deploying data ...

common purpose to deliver a better world. Join us.Job DescriptionDigital Senior Data ScientistAECOM is seeking a Senior Data Scientist to join our Data Science & Analytics team, contributing to transformative data-driven decision-making across global projects. As part of AECOM’s commitment to delivering sustainable and innovative solutions … will focus on designing and implementing predictive and prescriptive models, driving AI/ML strategies, and collaborating with cross-functional teams to integrate data science solutions into AECOM’s operational workflows. The ideal candidate will bring expertise in advanced analytics, machine learning, and IoT technologies, with a passion ...

common purpose to deliver a better world. Join us.Job DescriptionDigital Senior Data ScientistAECOM is seeking a Senior Data Scientist to join our Data Science & Analytics team, contributing to transformative data-driven decision-making across global projects. As part of AECOM’s commitment to delivering sustainable and innovative solutions … will focus on designing and implementing predictive and prescriptive models, driving AI/ML strategies, and collaborating with cross-functional teams to integrate data science solutions into AECOM’s operational workflows. The ideal candidate will bring expertise in advanced analytics, machine learning, and IoT technologies, with a passion ...

with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.Required Qualifications, Capabilities, and Skills:MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.Proven experience building and deploying AI applications in large-scale production environments.Experience with MLOps practices … techniques.Experience working with large, complex datasets and applying statistical analysis.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience managing data science teams and coaching team members.Problem-solving skills and ability to work independently and as a leader within cross-functional teams.Strong communication skills for both ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At GSK we unite science, technology and talent to get ahead of disease together. Deciding which R&D projects to invest in - and how to sequence, resource and prioritise them … most consequential judgements we make. The Portfolio Data Science team turns scientific, clinical, operational and financial inputs into the analysis and insight that guide those investment decisions across short-, medium- and long-range horizons. Position Summary Reporting to the Head, Data Science, Analytics, and AI, the Finance Portfolio ...

Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills: MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large-scale production environments. Experience with … with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem‐solving skills and ability to work independently and as a leader within cross‐functional teams. Strong communication skills ...

Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills: MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large-scale production environments. Experience with … with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently and as a leader within cross-functional teams. Strong communication skills ...

execution for AI, machine learning, automation, and decisioning capabilities within Growth Marketing Technology, from discovery through production and ongoing optimizationPartner deeply with engineering, data science, analytics, and marketing teams to define scalable solutions across measurement, automation, optimization, and intelligent marketing workflowsLead technical discovery and solutioning by translating complex marketing … problems into clear product requirements, system capabilities, data flows, APIs, workflow orchestration, and measurable outcomesOwn the product lifecycle with engineering and data science, including data and feature pipelines, model or system selection, experimentation, evaluation, deployment, monitoring, guardrails, and feedback loopsDrive the productionization of AI and agentic capabilities, including tool ...

reusable AI engineering patterns, context management frameworks, evaluation pipelines, and production‐ready AI services. You will partner closely with software engineers, AI and data science specialists, and operations stakeholders to identify high‐value opportunities and deliver robust solutions integrated with strategic platforms and operational processes. Job Responsibilities Lead … culture of technical excellence, innovation, responsible AI adoption, and continuous learning Required Qualifications, Capabilities, and Skills Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field, or equivalent practical experience Strong software engineering experience with Python and experience designing, building ...

advancements in AI and ML, bringing new ideas and approaches into client engagements What You'll Need Essential: Minimum 2:1 degree in Computer Science, AI, Data Science, Statistics or a related quantitative field Deep expertise in developing AI and ML models including time series, supervised ...

software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows).Education: BS in Engineering, Computer Science, or equivalent.Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering … employee discountsRecruitment introduction rewardEmployee Assistance Program (global)About the business- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics ...

data visualisation and dashboard development. Hands-on experience with SQL for data processing and analytics. Strong programming skills in Python , with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/PyTorch . Experience with Databricks and Spark for data manipulation and querying. Prior experience … with a deep understanding of retail analytics. Previous consultancy experience, working directly with clients to deliver analytics solutions and insights. Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Your Personality Driven Resilient Insightful Analytical Creative If you would like the opportunity to join ...

help you get up to speed and grow your skills. Minimum Qualifications: Analytical Degree : Bachelor's or higher degree in an analytical subject (e.g. Computer Science, Engineering, Maths, Physics). Coding Aptitude :3+ years ofprogramming experiencein Rust orC++ and the willingness to learn new languages quickly.Withtheexpectation tocontributeacrossRust/… technologies, and experience with Docker. Preferred Qualifications: Any of the following skills would be particularlyadvantageous, but we welcome applications without these: Experience with data science/AI Familiarity withNATS.io Knowledge of networks and networking protocols (such as TCP/IP and HTTP) Exposure to cryptography Familiarity withSIP,audioand video ...

help you get up to speed and grow your skills.Minimum Qualifications:Analytical Degree: Bachelor's or higher degree in an analytical subject (e.g. Computer Science, Engineering, Maths, Physics).Coding Aptitude: 10+ years of professional programming experience in C++/C#, and the willingness to learn new languages quickly.Experience … Qualifications:Any of the following skills would be particularly advantageous, but we welcome applications without these:Familiarity with KubernetesFamiliarity with Windows developmentExperience with data science/AIKnowledge of networks and networking protocols (such as TCP/IP and HTTP)Exposure to cryptographyFamiliarity with audio and video coding, processing techniques ...

software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense … Recruitment introduction reward Employee Assistance Program (global) About the business- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics ...

help you get up to speed and grow your skills.**Minimum Qualifications:*** **Analytical Degree**: Bachelor's or higher degree in an analytical subject (e.g. Computer Science, Engineering, Maths, Physics).* **Coding Aptitude**: 10+ years of professional programming experience in C++/C#, and the willingness to learn … following skills would be particularly advantageous, but we welcome applications without these:* Familiarity with Kubernetes* Familiarity with Windows development* Experience with data science/AI* Knowledge of networks and networking protocols (such as TCP/IP and HTTP)* Exposure to cryptography* Familiarity with audio and video coding, processing techniques ...

globally connected, multi‐disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential. "FDEFS" #J-18808-Ljbffr ...