1,001 to 1,025 of 2,155 Data Science Jobs

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 ...

AVEVA is creating software trusted by over 90% of leading industrial companies. We are looking for a Product Intelligence Data Scientist to build a unified intelligence layer that transforms raw usage signals, behavioral data, and lifecycle events into predictive, prescriptive insights - enabling teams to act on what … appear Communicate findings to senior leadership as clear, actionable business narratives, and democratise intelligence findings for the wider team Essential Requirements 5+ years in data science or advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling ...

AVEVA is creating software trusted by over 90% of leading industrial companies. We are looking for a Product Intelligence Data Scientist to build a unified intelligence layer that transforms raw usage signals, behavioral data, and lifecycle events into predictive, prescriptive insights - enabling teams to act on what … appear Communicate findings to senior leadership as clear, actionable business narratives, and democratise intelligence findings for the wider team Essential Requirements 5+ years in data science or advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling ...

Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer … science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications ...

Location: Hybrid – 2 -3 days per week onsite in London, Covent Garden/Milton Keynes. Experience required: 3 – 5 years’ experience Proven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment. Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta … management; able to translate business outcomes into platform priorities and service commitments. Experience working with security, risk, and governance teams to evidence controls for data and AI services Experience managing suppliers and delivery partners, including service performance and support processes. Heavy on Databricks Key Responsibilities: Own and manage ...

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 ...

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 … will define how chemical markets get intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly ...

GRADUATE DATA ENGINEER £44,000 LONDON This is an exciting opportunity to join a rapidly growing Tech business where you'll help build the systems that power key commercial decisions. You'll work on high-impact engineering projects, gaining exposure to data, analytics, and pricing functions while taking … tangible impact within a collaborative and high-performing environment. THE ROLE Build and maintain software solutions that support the deployment of pricing and data science models into production Develop scalable systems and pipelines that are reliable and operationally ready Work closely with engineering, analytics, and data teams ...

more value from our data. As part of the Analytics Products team, you will help define and deliver products that leverage Expedia Group's data foundations to power intelligent, scalable, and trusted analytics experiences across the business. Working at the intersection of analytics, data, and artificial intelligence … innovative products that improve how teams access and interact with information. This role is ideal for a product manager with experience in analytics or data-driven products who is excited about emerging AI technologies and their potential to transform how people work. You'll contribute to products that incorporate ...

Artio is seeking a Senior Full Stack Engineer to own the technical architecture and platform behind our risk models. You will bridge software, data engineering and data science to deploy AI-driven insights for early-stage carbon insurance. The role is hands-on and autonomous, based … London with hybrid work. You will scale geospatial data pipelines and collaborate with founders and the data team to ship features from concept to production. #J-18808-Ljbffr ...

Capgemini is seeking an AI Data Scientist to apply data science, ML, and graph analytics to autonomous network operations. You will work with telemetry, topology, and service data to build KPI models, anomaly detection, and predictive analytics. Ideal candidates have strong Python, statistics, and BigQuery skills ...

risk reporting and risk tools. This role will focus on Market Risk. A&R has a unique venture point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver … production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline ...

pricing, reserving and Solvency II analyses Development and automation of Excel- and Remetrica-based tools Use Python and AI assisted approaches to speed up data collection/validation, and improve reconciliation/movement analysis Make consulting deliverables smarter and more efficient Clear communication of results to international clients … years of professional experience (flexible for the right candidate) Degree in actuarial science, statistics, mathematics, data science or a similar quantitative field Experience in Non-Life and/or Employee Benefits; Life experience is an asset Strong analytical mindset and excellent data handling skills Proficiency ...