1,801 to 1,825 of 2,228 Data Science Jobs

leader to own the Audience & Platform Expansion domain, driving global subscriber growth with a clear strategy and measurable outcomes. You'll align engineering, design, data science and marketing across time zones, write narrative strategy memos, and mentor junior PMs while shaping the product roadmap end-to-end. ...

Naver. You will develop scalable frameworks for campaign management and lead AI-powered workflows across global markets. You will partner with Product, Engineering, Data Science and Operations to define roadmaps, translate business goals into technical solutions, and mentor teammates to drive growth and efficiency in a fast-paced ...

weight-management ecosystem, and is looking for a senior fullstack engineer to shape features across web and mobile. You will work closely with Data Science and product teams to design scalable solutions using React and Go/Node.js in a fast-paced environment. You will contribute to frontend ...

Customer Experience across our global platforms. You will lead a team of Product Managers responsible for AI-enabled customer experiences, partnering with Engineering, Design, Data Science, and Operations to deliver scalable solutions across regions. This role requires 7+ years in Product Management, 2-3+ years leading ...

Data Science Festival is seeking a Staff Software Security Engineer to join their London team. This hybrid position offers a salary of up to £135,000 and the chance to work on innovative AI-driven products. In this role, you will implement security initiatives across engineering teams, work ...

Portfolio Analytics Group (PAG): Join the Portfolio Analytics Group (PAG), a highly collaborative and multidisciplinary team of in-house, forward-deployed engineers and data scientists at the forefront of applied analytics at BlackRock click apply for full job details ...

AVEVA seeks a Product Intelligence Data Scientist to transform raw usage signals into predictive insights. You’ll own analytical models linking product behavior to business outcomes across acquisition, activation, adoption, expansion and renewal. You will partner with Product to define hypotheses and build predictive models that quantify adoption maturity ...

seeking a Machine Learning Engineer to build and run production-ready ML systems that make a real impact. You’ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career. Being part of a permanent team ...

Forward Deployed Engineer to design, develop, and deploy full‐stack AI-driven applications on the C3 AI Platform. You will work directly with customers, data scientists, and engineers to deliver production-ready solutions and proofs-of-technology. You will join frontline projects in UK and European defence, contributing ...

annotation and evaluation across multiple use cases. You will define schemas, review outputs, and set reusable prompt frameworks aligned with compliance. Collaborate with data scientists, content reviewers and product teams; lead calibration sessions, establish quality benchmarks, and mentor junior annotators while advancing continuous improvement in a fast-moving ...

will design, develop and optimise scalable backend services and APIs across cloud-native environments. Join a cross-functional team working with AI Engineers, Data Scientists, Enterprise Architects and Security teams in a hybrid, cross-city setting. The contract offers an initial 3 months with potential extension and a rate ...

will design, develop and optimise scalable backend services and APIs across cloud-native environments. Join a cross-functional team working with AI Engineers, Data Scientists, Enterprise Architects and Security teams in a hybrid, cross-city setting. The contract offers an initial 3 months with potential extension and a rate ...

will design, develop and optimise scalable backend services and APIs across cloud-native environments. Join a cross-functional team working with AI Engineers, Data Scientists, Enterprise Architects and Security teams in a hybrid, cross-city setting. The contract offers an initial 3 months with potential extension and a rate ...

will design, develop and optimise scalable backend services and APIs across cloud-native environments. Join a cross-functional team working with AI Engineers, Data Scientists, Enterprise Architects and Security teams in a hybrid, cross-city setting. The contract offers an initial 3 months with potential extension and a rate ...

serverless Cloud product post-GA and shape market adoption while collaborating with diverse teams. You’ll translate requirements into scalable designs, work with executives, data scientists, and engineers, and champion our vision to enable customer success #J-18808-Ljbffr ...

operationalise advanced machine learning solutions that directly support UK national security objectives. This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure … moving models from experimentation into production with appropriate governance and quality controls Hands-on experience with MLOps tooling such as MLflow, Weights & Biases or Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software … long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintains data pipelines for analytics, model evaluation, and training (includes versioning, compliance ...

DoorDash builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership … problems are backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. ...

learning models, natural language processing (NLP), knowledge representation, and reasoning techniques. Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow. Conduct research and experimentation with new AI paradigms and technologies to continuously improve agent performance and capabilities. Collaborate with product managers, data … accuracy, reliability, and scalability. Contribute to the development of internal AI frameworks, tools, and best practices. Job Qualifications Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field. Proven experience (3+ years) in designing and implementing AI agents or intelligent systems. Strong ...

production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with - and raise the technical bar for - ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future … enabling the next generation of AI-powered products, agents, automation, and personalisation. We're excited about you because... BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing ...

Central is seeking a Senior Data Scientist to turn complex data into actionable insights and deliver innovative solutions that drive business value and strategic decision‐making. You will develop data services, apply deep learning and ML, perform data analysis, and collaborate across teams to implement data ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event‐driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI‐enabled products and services Education Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI-enabled products and services Education Bachelors degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms and intelligent ...