976 to 1,000 of 2,160 Data Science Jobs

automated deployment pipelines Excellent communication and stakeholder management skills Ability to engage with both technical and non-technical audiences Education Degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI … Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging AI frameworks What's On Offer? Opportunity to work on high-profile AI transformation projects Exposure to the latest AI technologies and enterprise-scale environments ...

progression plan Private healthcare/insurance Are you seeking a dynamic, exciting role as a Software Developer (PhD Graduate)? Interested in working on complex data privacy and cryptography challenges? Apply then to this Software Developer role in London today! Company profile – Data Privacy In this Software Developer role … will be joining a growing software company based in central London, supporting their clients’ data privacy needs. Their tech solution simplifies the way organisations access and share data. By providing an embedded platform that automates the technical enforcement of data policies, they help solve the large-scale challenges ...

into the first, and only, true commerce media network in travel—a standalone network at the scale of Uber Advertising, built on first-party data that no one else has. Our ambition is to move from a service business that manually activates campaigns to a programmatic-first network that … biggest challenges in commerce media today are fragmentation and standardisation. Navigator is being built to solve both by creating a unified network with consistent data, measurement, and activation across every channel, powered by more than two billion first-party data signals. We are at an exciting inflection point. ...

Methods Analytics is seeking a Data Architect to join the team on a permanent basis. The role is primarily remote with travel to client sites and offices in London, Sheffield, and Bristol. You will design end-to-end data solutions, govern data standards, and mentor junior team … members. You will work with data engineers, software engineers, data scientists, and stakeholders to deliver robust, scalable data architectures and modern data services, supporting AI-enabled analytics and data-driven #J-18808-Ljbffr ...

Director of Data Partnerships £120,000 + Bonus + Equity Remote (UK) | Occasional London Travel I'm working with a high-growth HealthTech organisation to appoint a Director of Data Partnerships. This is a unique opportunity to build and lead a new commercial research function focused on turning … Europe's largest real-world healthcare datasets into valuable partnerships, research programmes, and new revenue streams. The role sits at the intersection of healthcare data, life sciences, research, and commercial strategy. The opportunity This is not a traditional: Business Development role Clinical Research leadership role Data Science ...

Group is seeking a Lead Data Scientist to drive high-impact data science initiatives across the business. You will lead projects from conception to deployment, build scalable ML models, and mentor a squad of data scientists in a cloud-based data lake environment. You will … with Databricks on Azure, apply Agentic and Generative AI in regulated settings, and collaborate with stakeholders to deliver measurable value while advancing AXA's data strategy. #J-18808-Ljbffr ...

Senior Data Scientist - International BAU & Operations London Hybrid Working Model 6 Months Contract £400 to £450 Inside IR35 A fast-growing, high-impact international organisation is seeking a hands-on Senior Data Scientist to take ownership of the day-to-day analytics engine and machine learning models … recommendation logic. A/B Testing & Insights: Track active experiments, analyze reads, and make confident calls on promotional rollouts. Regulatory Compliance: Handle time-sensitive data extraction requests-including FCA reporting, DSARs, and compliance pulls-often under tight turnaround times. Cross-Functional Ownership: Act as the single point of contact ...

Data Science Festival is seeking a Data Solutions Architect to guide design and architecture across a large-scale data platform in Greater London. This senior role emphasizes shaping how data solutions are crafted while working closely with various teams, ensuring consistency and clarity. … have experience with Azure-based platforms and enjoy influencing data strategies, apply now to be part of a dynamic and innovative organization. #J-18808-Ljbffr ...

incidents. You will regularly collaborate with cross-functional teams to develop a coordinated approach to security, ensuring the integrity, confidentiality, and availability of sensitive data and systems. You will apply advanced analytical, technical, and problem-solving skills to enable operational excellence and implement innovative solutions to address complex security … protect the organization's digital assets, smart contracts, and blockchain infrastructure from cybersecurity threats Proactively monitor and analyze complex on-chain and off-chain data and systems to identify indicators of vulnerabilities and compromises, utilizing advanced tools and techniques to detect anomalies and contribute to the development of strategies ...

existing MarTech stack alongside emerging market trends and other vendors, to identify capability gaps and opportunities to deploy in the marketing function and practices.* **Data:** Partners with IT, Data Science, and Brand Analytics to ensure the foundational data architecture effectively supports development of knowledge bases … marketing vendors).* **COE Liaison & Adoption:** Serves as the primary marketing ambassador to the Enterprise AI COE; operationalizes corporate AI governance, ethical standards, and data privacy policies directly into marketing team behaviors and campaign execution.Cross-Functional Collaboration, Communication & Change Management* **Strategic Partnerships:** Partners with cross-functional teams (Global Brand ...

impact on enterprise-wide AI coding tools. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/… deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter ...

innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

Drive the future of analytics and AI within Payments by delivering scalable data products, enabling AI adoption, and transforming complex business challenges into actionable insights that accelerate growth, optimize liquidity, and enhance client outcomes. As a Vice President within the Liquidity & Account Solutions (L&AS) Business Intelligence & Analytics team … Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide standards. Promote self-service analytics capabilities and lead AI literacy and upskilling initiatives across ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Drive the future of analytics and AI within Payments by delivering scalable data products, enabling AI adoption, and transforming complex business challenges into actionable insights that accelerate growth, optimize liquidity, and enhance client outcomes. As a Vice President … Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide standards. Promote self-service analytics capabilities and lead AI literacy and upskilling initiatives across ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Drive the future of analytics and AI within Payments by delivering scalable data products, enabling AI adoption, and transforming complex business challenges into actionable insights that accelerate growth, optimize liquidity, and enhance client outcomes. As a Vice President … Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide standards. Promote self-service analytics capabilities and lead AI literacy and upskilling initiatives across ...

Could you help shape the future of scholarly communication by delivering product improvements that support researchers worldwide? Are you excited by working with data, technology, and cross-functional teams to bring valuable product experiences to life? Location: London About our Team Our STMJ (Science, Technology, and Medical Journals … published work. Through innovation in editorial workflows and publishing technology, we help global research communities discover, evaluate, and disseminate knowledge that advances science and improves lives. About the Role As a Product Manager supporting SSRN, Elsevier’s preprint server, you will work alongside the Senior Product Manager to help ...

independent of any single model. Задачи Design and deploy advanced LLM models to automate complex manual processes across real-world industry verticals Build scalable data pipelines and optimize models for performance and accuracy Prepare models for production, monitor them, and maintain their value across governments worldwide Optimize advanced energy … code reviews, share knowledge, and set an example with high-quality engineering practices Требования Hold a BSc, Master's, or PhD degree in Computer Science, Machine Learning, Data Science, or a related field Have impactful industry experience building GenAI-focused applications with technologies including Agents, reasoning models ...

Data Scientist will help transform manufacturing and product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse … manufacturing, quality and product performance data to identify trends and improvement opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

Qflow, we're on a mission to transform one of the world's most impactful industries: construction. Our platform provides easily captured, data-driven insights that empower construction teams to make better decisions, improving quality, increasing efficiency, reducing costs and helping to mitigate project risk. By combining construction expertise … with software engineering, artificial intelligence and cutting-edge data science, we deliver real-time visibility into materials, waste, quality, cost and carbon throughout the construction lifecycle. Having established Qflow as a trusted solution across many of the UK's leading Tier 1 contractors, developers and utilities companies ...

services and tools that improve the lives of tens of millions of people every single day. The Investment Group Technologies organization applies software and data engineering, as well as data science to long-term fundamental investing at > $2 trillion scale. In the Software Engineer role, you will … unique position to make an even bigger difference to these investors, harnessing our distinctive investment research process, built on 8 decades of proprietary data and research insights, and coupled with our data-grounded and customer-focused approach to building software. The ideal candidate for this role will ...