401 to 425 of 3,465 Data Science Jobs

candidate will combine deep cybersecurity expertise with hands-on knowledge of AI/ML technologies, ensuring that AI systems are resilient against adversarial threats, data leakage, and misuse. What you'll be doing: 1. AI Security Strategy & Architecture Define and lead the AI security architecture roadmap aligned to enterprise … security strategy.Develop secure-by-design frameworks for AI/ML pipelines, including data ingestion, training, inference, and deployment.Establish AI trust, risk, and compliance controls (e.g., explainability, fairness, robustness). 2. Threat Modelling & Risk Management Conduct threat modelling for AI systems, identifying vulnerabilities such as:Adversarial attacks (evasion, poisoning)Model ...

take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable … high-quality production code and maintains algorithms that run synchronously with appropriate systems. Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams. Collaborates with engineering and data teams to optimize infrastructure ...

retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what … closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.Certified as a Great Place to Work around the world, Baringa has been ...

establish accountability in close partnership with stakeholders.Architect the Next Generation of Investment Intelligence:Design and deliver agentic architectures that integrate LLMs, quantitative models, enterprise data pipelines, and real-time reasoning systems.Deploy and drive adoption of agents that understand financial context, retrieve relevant knowledge, and generate research-grade outputs that … their ongoing decision-making process.Present research and recommendations confidently in meetings and formal presentations to the investment team.Collaborate, Lead, and Transform:Work across Investment, Data Science, and Technology teams to deliver AI-native capabilities that modernize T. Rowe Price’s investment platform.Lead workflow transformations that translate complex processes ...

team you'll be working with:Project/Delivery Manager – NTT DATA AI PracticePosition OverviewNTT DATA is seeking a dynamic and strategic AIProject/Delivery Manager to join our growing AI Practice. As an AI Project/Delivery Manager, you will lead the planning, execution, and delivery … technical teams, business stakeholders, and end-users, ensuring AI projects are delivered on time, within scope, and aligned with strategic objectivesOur AI Practice spans Data Science, Generative AI, and Agentic AI, helping clients across industries harness the power of AI to transform operations, enhance decision-making, and drive ...

provide technical leadership across AI initiatives while remaining hands-on in the design and delivery of production systems. You'll collaborate with product, engineering, data, and learning specialists to create intelligent features that improve learner outcomes and drive innovation across the platform.You'll help shape the future … recommendations, and learner support tools.Build production-ready AI systems with a strong focus on quality, reliability, security, and performance.Collaborate closely with Product, Learning Design, Data Science, and Engineering teams to deliver customer-focused solutions.Evaluate emerging AI technologies and identify opportunities to improve learner engagement and educational outcomes.Establish engineering ...

orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java … rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software ...

provide technical leadership across AI initiatives while remaining hands-on in the design and delivery of production systems. You'll collaborate with product, engineering, data, and learning specialists to create intelligent features that improve learner outcomes and drive innovation across the platform. You'll help shape the future … learner support tools. Build production-ready AI systems with a strong focus on quality, reliability, security, and performance. Collaborate closely with Product, Learning Design, Data Science, and Engineering teams to deliver customer-focused solutions. Evaluate emerging AI technologies and identify opportunities to improve learner engagement and educational outcomes. ...

AI. This is a hands-on engineering role where you’ll be expected to build AI solutions - working across multiple functions, especially with our Data Science team, to achieve the best results. You will design and govern the end-to-end architecture that takes AI from experiment … production. This is a systems-design role, not a model-training role. You decide how data, models, agents, applications, and infrastructure fit together so we can ship AI that is reliable, secure, cost-aware, and aligned with the business. Obvious areas of advancement with AI include... Use within ...

QUALIFICATIONSDegree in computer science or related field, or equivalent practical experience2-5+ years of relevant experienceExperience building production-grade applications in at least one part of the stack (backend, frontend, infra), with willingness to learn others as needed.Ability to deliver features independently, participate in design discussions, and collaborate with … your family.WHAT YOU'LL DOYou will be part of QuantumBlack Labs and work in a team of software engineers, product managers, data scientists, data engineers and designers to create innovative products and new technologies that accelerate and scale our work in artificial intelligence and machine learning.We hire engineers ...

platforms, services and best practices while continuously developing your technical expertise. This role reports to the Lead AI & ML Engineer and sits within the Data function, working as part of a specialist AI engineering team. You'll contribute to a mix of dedicated AI initiatives and larger cross-functional … projects alongside colleagues from Technology, Data and Product. As a AI & ML Engineer you willThe role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration ...

QUALIFICATIONSBachelors, Master’s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7-8+ years of experience in software development, with significant full-stack web application development experience strongly preferred Experience working collaboratively with technical and non-technical team … Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultant passionate about creating industry-shaping products and tools. Your role offers unparalleled opportunities for growth and innovation. At McKinsey ...

seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions. Key Responsibilities Design and architect … Databricks Lakehouse solutions for large-scaleenterprise data platforms. Lead end-to-end Databricks implementation, including architecture, development, deployment, and optimization. Define Databricks workspace architecture, clusterstrategies, security models, and operational standards. Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake . Implement data ingestionframeworks supporting ...

will enable adoption of ML and AI across all teams and tribes, with your work directly impacting platform security, user experience, and large-scale data‐driven decision‐making for hundreds of thousands of users daily. This role blends hands‐on technical work with strategic thinking — you will lead … What the role involves Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring. Re‐architect and rebuild existing data pipelines to handle real‐time data processing and support production ML models. Develop tools that make it easier for ML engineers to design ...

brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. At GlobalLogic, we have a strong … track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century. We partner with leading Financial ...

Senior Decision Scientist Location: BrightonDepartment: Data & AnalyticsPosition type: Full-time, hybridThe roleMPB is investing seriously in data and AI as a core part of how we operate - utilising emerging tools and technology, a modern stack built on solid foundations, a growing team and executive commitment to data … role sits right at the centre of that. We're hiring for the long term, investing in capabilities where we expect the value of data to compound, and we want people who want to be here for the journey.The Senior Decision Scientist [Squad] role is the data craft ...

333444NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Systems Integration Specialist Advisor - TCP/IP Security to join our team … organization. You will be responsible for developing, designing, implementing, and maintaining robust security standards, measures and controls for AI and ML applications, models, and data whilst working with the business on these initiatives.You will collaborate with cross-functional teams, including data scientists, engineers, and security professionals, to develop ...

indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real insurance business problems. … identify high-impact opportunities for automation and decision support. Qualifications Desired Qualifications: 6+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building ...

actionable engineering plans.Identify and mitigate technical risks, including security, deployment and operational challenges.Lead and mentor multidisciplinary teams of AI Engineers, Machine Learning Engineers, Data Scientists and Software Engineers.Engage with senior stakeholders and communicate complex technical concepts to both technical and non-technical audiences.What We're Looking ForWe are looking … working in complex and highly regulated sectors such as Government, Public Sector, Security, Justice, Defence, Healthcare or other similarly challenging environments.Experience with large-scale data technologies such as SQL, Spark or Hadoop would also be beneficial.About YouYou will be a technically credible leader who is still comfortable getting into ...

timeposted on: Posted Todayjob requisition id: R0121927**ABOUT US:**LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience … Build robust APIs, orchestration services and automation pipelines.* Drive non-functional requirements including security, scalability, resilience and observability.Product & Platform Development* Partner with Product Managers, Data Scientists and Engineering teams to deliver AI solutions from concept through production.* Support the development of AI platforms that enable wider engineering adoption.* Establish ...

Data Science Consultant – Insurance Location: London, UK | Permanent | Hybrid – 3 days office We are looking for a senior, client-facing Data Science Consultant with 10+ years of experience combining business consulting with hands-on Data Science/AI delivery. Must-have: 10+ years … Data Science/AI/ML/Advanced Analytics Strong Insurance domain experience — Claims, Underwriting, Pricing, Risk, Policy Administration or Customer Experience Proven client-facing consulting & senior stakeholder management Ability to translate business problems into Data Science/AI use cases Hands-on Python, SQL, Machine ...

work arrangement, which translates to 4 days minimum per week in the office.In this role, you’ll be a key contributor to HarbourVest’s data transformation journey - bridging the gap between raw data ingestion and analytics-ready assets that power AI, data science, and other applications. … work across teams to design modular, analytics-focused data workflows, model business logic, and deliver actionable insights. This hybrid role combines engineering rigor with analytical depth and business fluency, making it ideal for professionals who thrive at the intersection of data, technology, and strategy.The ideal candidate is someone ...

energy transition for all, we’re committed to ensuring none of our customers are left in the dark.So, join us as a Data Science Manager in our Data Science team, and find your superpower.National Grid is hiring a Data Science Manager to lead … develop our Data Science team. This role is based at either our London or Warwick office, with hybrid working. You’ll play a key role in shaping and delivering advanced data science solutions that support critical operations across our enterprise, driving innovation, scalability, and meaningful insights.About ...

Description Summary#LI-Hybrid Internal Title: Associate DirectorLocation: Cambridge, MANovartis is a leader in data science and model-informed drug development. We are seeking an experienced Data Science leader to advance data-driven drug discovery and development by integrating advanced analytics, machine learning, and mechanistic modelling … making from discovery through clinical development.You will contribute to departmental strategy, drive innovation in AI-augmented modelling approaches, and ensure the proactive use of data science and in silico methods to guide compound progression, prioritization, and clinical decision-making.This role reports to the Head of Data Science ...

relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and CompetenciesExperience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineersHands-on experience building … understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflowsAbility to own the full model-development lifecycle, including problem framing, data exploration, solution design, estimation, validation, deployment, and ongoing monitoringAbility to explain, present, and demonstrate complex modeling work clearly to senior leaders, cross-functional partners ...