1,351 to 1,375 of 6,363 Computer Science Jobs

will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through … validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy ...

discussions about model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard.ResponsibilitiesPartner with PhD researchers … align with research and engineering stakeholders on ownership, execution, and prioritizationFoster engineering consistency, standards, and best practices within ResearchRequirementsBachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems ...

subject matter experts and collaborate with external AI technology vendors, in order to identify and prototype ML application opportunities within FC.Required qualifications:BS in Computer Science, Mathematics or related field, or equivalent professional experience.Strong computer programming fundamentals, proficiency in C++ and Python.Applied experience with optimising Machine Learning … latency or other real-time constraints.Proven record of building, deploying and maintaining Machine Learning applications in productized software.Preferred qualifications:PhD or Masters degree in Computer Science, Mathematics or related fields.Experience with ML frameworks like PyTorch or TensorFlow.Experience in optimizing ML models for memory and compute constrained real-time ...

Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations. Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation. Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful … business actions. To be successful in this role, were seeking the following: Bachelors degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred. Proficiency in programming languages such as Python, or SQL. Strong analytical ...

paced company working across diverse domains, including cloud development, data governance and processing pipelines, electronics, embedded software/hardware, mechanical design/manufacturing, AI & computer vision, and data science—all powering our BIM Platform. To drive this mission, we are seeking a Data Engineer experienced in data modelling … applications and cloud teams. Stay adaptable, learning new technologies and contributing to various technical areas as needed. Required Skills & Experience Bachelor’s degree in computer science or a related field or equivalent proven experience in database and data pipeline development. Solid experience with relational databases and SQL, preferably ...

frameworks, and the ability to quickly learn and adapt. We encourage you to apply for this position if you have: A degree in Computer Science or a closely related field (Bachelor’s or higher), with a strong grasp of core computer science concepts such as memory … Python , which shares syntax with Starlark (our embedded scripting language) and is commonly used to prototype models A strong interest or background in data science , machine learning, statistical analysis, or natural language processing is a plus — especially as applied to behavioral analytics and anomaly detection — but this is primarily ...

learning engineer or scientist, deploying models in production atscale ,including monitoring, alerting, automatic bug filing and auditing. Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Well versed in distributed computing systems and architecture that may include big data … client-side teams Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation MS or PhD in related field preferred (computer science, engineering, etc.) Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color ...

origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.Education/Experience:Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Information Systems, Data Analytics, Engineering, or a related discipline preferred.Requires relevant work experience or specialized skills obtained through … apply analytical thinking to solve business and technical challenges. To be successful in this role you will need the following:IT Degree in Computer Science, Information Technology, Software Engineering, Data Analytics, Information Systems, Engineering, or a related discipline.Experience in an IT support or applications-focused role, with ...

challenge architectural decisions constructively, propose alternatives, and guide trade-off discussions. You should have experience in cross-functional collaboration with product and data science teams to align technical solutions with business goals. You will collaborate with the product team to deliver the micro-services, modules and features throughout … includes Java, Spring Boot, Cassandra, MongoDB, Redis, Apache Ignite, Kafka, PostgreSQL, Nginx. (check details from Stack Share Profile ) Requirements BSc or MSc degree in Computer Science, Computer Engineering, Software Engineering or related disciplines from reputable universities 10+ years of Java Development experience (Spring and RESTful APIs) Proficient ...

learn and implement new skills in a fast-changing environment.QualificationsYou are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027Fluency in PythonExperience with statistical analysis, numerical programming, or machine learning … researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being ...

London, UK Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 10 years of experience coding with one or more programming languages (e.g., Java, C/… C++, Python). Experience in technical leadership, including leading business transformation initiatives. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). ...

Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet.Read on if you> Have significant experience leading end-to-end Data Science projects within operational, logistics, manufacturing or similarly complex environments> Enjoy solving business problems using predictive analytics, machine learning and data-driven decision making> Can work closely … with stakeholders, product teams and engineers to turn complex analysis into practical business outcomesThe TeamOur Data Science team sits at the centre of driving smarter, faster and more informed decision making across the business. Working in a collaborative product environment, we partner with stakeholders across operations and technology ...

knowledge sharing and mentoring within the team, supporting a culture of innovation and continuous improvement. Eligibility Criteria Applicants should hold a degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or possess equivalent professional experience. Significant experience in AI/ML engineering roles ...

Redshift. Knowledge of data governance tools. Exposure to real-time streaming platforms. Banking domain experience Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. #J-18808-Ljbffr ...

engineer processes and define a compelling vision for the target state by embedding AI into current workflows, driving change and efficiency. Integrate data science solutions and applications into operational workflows to drive business value and adoption. Guide research initiatives and pilot projects to identify and apply state … agentic technologies. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance. Required Qualifications, Capabilities, and Skills Extensive experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large‐scale enterprise ...

corporate banking, or payments.Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsPreferred Qualifications, Capabilities, and SkillsExperience in financial services with exposure to capital markets, corporate banking, or payments.Proficient understanding … application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals ...

banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields Preferred Qualifications, Capabilities, and Skills Experience in financial services with exposure to capital markets, corporate banking … payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

team member on a Scrum team and will be instrumental in setting our direction and strategy for product and infrastructure development. Tasks include: Apply computer science, engineering, and mathematical analysis concepts and principles in the development of software for the target hardware. Work closely with cross functional members … OpenShift, or similar Experience with Red Hat Enterprise Linux. Ability to obtain and maintain a US Security Clearance. Required Qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field and 4 years of prior applicable experience; or, a Masters Degree with 2 years ...

production cutover Stakeholder communication, status, and risk/issue management To be successful in this role, were seeking the following: Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field Experience in software development; experience in the financial services industry is a plus Skills ...

best practices.Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations.Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation.Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful business … actions.To be successful in this role, we’re seeking the following:Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred.Proficiency in programming languages such as Python, or SQL.Strong analytical and problem ...

creative process and enables us to really celebrate excellence in advertising. Something not working is still a valuable data point, which we embrace, bringing science into the art of advertising. We want to know what we don’t know. Commitment. Bringing innovation to the market requires belief and drive. … collaborate effectively with cross-functional teams and manage project timelines. Exceptional problem-solving skills and meticulous attention to detail. Deep understanding of data science fundamentals and experience with statistical analysis. Demonstrated experience in leading and mentoring technical teams. Preferred Skills (Bonuses) Experience with cloud computing platforms (GCP) and their ...

Azure, Google Cloud) Strong understanding of networking fundamentals (TCP/IP, DNS, etc.) Excellent problem-solving and communication skills Qualifications Bachelor's degree in Computer Science, Information Technology, or related field Certified DevOps Engineer or related certification (optional) Proven experience in designing and implementing DevOps practices Strong understanding ...

including strategic stakes in companies like Plume, ITV, Lions Gate, Univision, the Formula E racing series and several regional sports networks.JOB PURPOSEApply advanced data science, machine learning, AI/Gen-AI, and predictive analytics to drive technology decisions. Your work will support due diligence, market analysis, competitive intelligence … intelligence, and predictive forecastingDevelop AI-powered capabilities for technology due diligence automation, market intelligence gathering, and strategic opportunity identificationKNOWLEDGE & EXPERIENCEEssential:Graduate degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field3+ years in data science with focus on building Data and AI productsAdvanced proficiency ...

Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations. Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation. Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful … business actions. To be successful in this role, we're seeking the following: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred. Proficiency in programming languages such as Python, or SQL.Strong ...

needs, trends, and opportunities Develops detailed product requirements documents (PRDs) and use cases that guide engineering and design teams Collaborates with engineering, design, data science, and marketing teams to ensure successful product development and launch Establishes product success metrics (OKRs, KPIs) and monitors performance against targets; analyzes product adoption … managing expectations Maintains continuous learning mindset to stay updated with market trends and technologies EDUCATION & EXPERIENCE REQUIREMENTS Education Bachelor degree in Business, Engineering, Computer Science, Economics, or related field MBA or equivalent business education is a plus Experience Minimum 10+ years of product management experience in software, SaaS ...