676 to 700 of 3,461 Data Science Jobs

Description:Your ImpactAs a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines to support … evolving business and operational demands.To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages.What you’ll doOrchestrate the ingestion, processing, and storage ...

Range84,051 - 93,390We support flexible working – click here for more information on flexible working optionsFlexible Working OptionsHybrid WorkingJob Description Summary.Job DescriptionJOB TITLE: Senior Data EngineerSALARY: 76,760 - 95,950LOCATION: LondonHOURS: Full-TimeWORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week … supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.What you’ll be doing...We’re looking for a Senior Data Engineer to join our Data Platform team and help build the foundations that power Curve’s data-driven culture. Working across both ...

rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture … have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work.About the opportunityOur data platform powers Beamery’s reporting and underpins our AI strategy. We’re hiring a Staff Data Engineer to set its technical direction.This ...

think like a management consultant, thrive in a high-growth environment, and can't stop thinking about the intersection of data, technology, and business strategy? Are you the person clients turn to when the problem is complex, the stakes are high, and the path forward isn't obvious … employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We've recently launched in the US with offices in NYC and Los Angeles — and we want ...

will build secure, scalable platforms and applications that accelerate experimentation while meeting high engineering standards. You will partner closely with AI Researchers and Data Scientists to move prototypes into optimized, reliable solutions. You will grow your influence by mentoring others and helping shape team practices. You will join … team that values collaboration, inclusion, and continuous improvement.As a Software Engineer III in AI and Machine Learning Data Platforms, you will deliver critical technology solutions that support the firm’s business objectives. You will work directly with AI Research and the Machine Learning Center of Excellence to advance experiments ...

Open roles below. You'll work on applied AI and agentic systems for PE clients, hands-on with model integration, multi-agent workflows and data engineering from day one. Looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science … Contract Location: UK (Brighton, Hybrid)/Europe (Remote) Position: Full-Time, Contract Take AI systems from research to production, building multi-agent workflows, scalable data pipelines and Azure-deployed services for PE and professional services clients. Suits an experienced AI or software engineer with advanced Python, agentic frameworks ...

Senior Software Developer North West England | C#/.NET | Advanced Analytics | AI & Data If you're a Senior Software Developer looking for something beyond standard application development, this could be an opportunity worth exploring. This role sits at the intersection of software engineering, advanced analytics, data science and next-generation manufacturing technology. You'll be working on complex systems that turn real-world production data into software-driven insight, while helping shape and evolve a platform that is central to how advanced manufacturing operations are run. The Role You'll take a senior role within ...

make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts … link below. https://www.icis.com/explore About the role: To provide dedicated analytical capability within Customer Intelligence, connecting customer research, CRM data, product usage data and business performance metrics into clear, actionable insight. This role is designed to build future data science ...

with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience … with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied … team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services ...

continuously improve reliability and utility. Partner with stakeholders to define requirements, design intuitive human-AI interfaces (voice, chat), and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; and performance evaluations. Mentor and guide team members on agent frameworks … usage, safety, and best practices. Required qualifications MSc/PhD in Computer Science, Data Science, Machine Learning, or related field. Significant proven experience building and deploying AI applications in large scale production environments. Experience managing data science teams and couching team members Proficiency in Python ...

learning or AI engineerto be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position will be based out of our London or Manchester office.Specific Emerging Technology team objectives … will work on some flagship Fitch productsThe candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data scienceFitch promotes an excellent work culture and is known for providing a good work life balanceWe’ll Count on You To:Work closely/ ...

make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts … where opportunity and risk present priorities for the business About the role: To provide dedicated analytical capability within Customer Intelligence, connecting customer research, CRM data, product usage data and business performance metrics into clear, actionable insight. This role is designed to build future data science ...

laws that govern its operations.How does this role contribute to our collective success The Head of Insights & Analytics leads a multidisciplinary team that transforms data into actionable insights and measurable business value. You will be accountable for enterprise reporting, business intelligence, performance analytics, insight generation, analytics strategy, and business … adoption of analytical solutions.The role identifies and prioritizes opportunities where advanced analytics and AI can drive business value and partners with Data Science & AI Delivery leadership to ensure successful execution.The role’s purpose is to ensure the business gets the right solutions for the right needs, whether that ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state‐of‐the‐art in AI as applied … disability needs. We are looking for an outstanding Machine Learning Engineer to help us deliver maximum value on this opportunity. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services ...

OVERVIEWPURPOSE OF JOBAs JTC enters the Genesis era of growth and transformation under private equity ownership, the Group's ambition is to become a data- and AI-powered specialist-services platform where every interaction, acquisition and piece of expertise makes the firm smarter, more efficient and easier to scale. … Director, AI Engineering leads the AI Engineering & Data Science function within the unified Tech-Ops operating model, the engineering engine room that turns JTC's AI & Agentic Strategy 2030 into working, governed and value-generating systems.The postholder will build and lead the team responsible for AI/ ...

seeking a talented and detail-oriented Applied AI Engineer to join our Global Data Science team and help internal technology and commercial teams adopt CCI’s approved AI tooling effectively. The ideal candidate will combine technical fluency, strong communication skills, and practical experience using AI to improve real … practical advancements in applied AI, context engineering, enterprise copilots, agentic workflows, RAG, and AI evaluation methods.QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, Economics, Mathematics, or a related technical or quantitative field.2+ years of experience in data analytics ...

loops to continuously improve reliability and utility.Partner with stakeholders to define requirements, design intuitive human-AI interfaces (voice, chat), and deliver measurable business impact.Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; and performance evaluations.Mentor and guide team members on agent frameworks … usage, safety, and best practices.Required qualificationsMSc/PhD in Computer Science, Data Science, Machine Learning, or related field.Significant proven experience building and deploying AI applications in large scale production environments.Experience managing data science teams and couching team membersProficiency in Python and ML frameworks (PyTorch, TensorFlow ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied … team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilitiesBuild robust Data Science capabilities which can be scaled across multiple business use casesCollaborate with software engineering team to design and deploy Machine Learning services that ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state‐of‐the‐art in AI as applied … team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services ...

current with AI/ML advancements and apply relevant techniques to business problemsRequired Qualifications, Capabilities, and Skills:Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience)Strong foundation in AI/ML concepts and practical experience … with data analysis, feature engineering, and model developmentExperience working with large, complex datasets and applying statistical analysisHands-on experience training, deploying, and maintaining machine learning models in production environmentsProficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch)Experience with MLOps practices and tools ...

enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current … manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine ...

About Neo4j:Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment … data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results ...

ensure they work beautifully for end users. While you'll handle the full stack, your primary focus is the user-facing layer. The Data Science team owns the model-serving and back-end infrastructure; you'll consume those services reliably and translate them into compelling, accessible experiences.This … full application lifecycle, taking apps from proof of concept through to production with robust testing, documentation, and deployment practicesIntegrate reliably with APIs and data services owned by the Data Science team (REST, GraphQL, MCP); provide structured feedback on what works and what doesn'tCreate compelling data ...

shaping them into funded workstreamsRepresents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution designContributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers … Language Models, including prompt engineering, RAG, fine-tuning, agentic frameworks, skills.Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systemsStrong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non-technical audiencesExperience applying new methods to determine solutions ...