951 to 975 of 2,097 Permanent Data Science Jobs

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. ...

Leadership team in partnership with Marketing and Sales teams across the region What we look for: Experience managing a team of successful Big Data, Cloud, or SaaS professionals Experience in consumption based business environments Have experience mentoring and scaling technical teams Success in instituting processes for technical field members … lead efficiency and product focus Ability to partner and collaborate with Sales and other cross‐functional leaders Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions Technical or consulting background either in 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 ...

Compliance, Conduct and Operational Risk (CCOR) Data Analytics team is part of the firm’s CCOR organization within the second line of defense. CCOR is responsible for the design and execution of the CCOR program, which consists of the second line of defense’s responsibilities in managing the firm … Compliance, Conduct, and Operational Risk. The Data Analytics team works with CCOR functional groups to deliver solutions designed to facilitate data-driven decision making and enable proactive risk management. This role blends product management, business analysis, and project management responsibilities to deliver strategic capabilities to the CCOR community. ...

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 ...

real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will … uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this ...

real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will … uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this ...

real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will … uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this ...

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 ...

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 ...

supporting the 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 ...

supporting the 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 ...

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 ...

Compliance, Conduct and Operational Risk (CCOR) Data Analytics team is part of the firm’s CCOR organization within the second line of defense. CCOR is responsible for the design and execution of the CCOR program, which consists of the second line of defense’s responsibilities in managing the firm … Compliance, Conduct, and Operational Risk. The Data Analytics team works with CCOR functional groups to deliver solutions designed to facilitate data-driven decision making and enable proactive risk management. This role blends product management, business analysis, and project management responsibilities to deliver strategic capabilities to the CCOR community. ...

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 ...