501 to 525 of 3,423 Permanent Data Science Jobs

Trading Analytics and Insights (TA&I) organisation within the Trading and Shipping (T&S) Entity. You will have a deep understanding of the Dataiku Data Science Studio platform and act as the champion for its use within commodity trading decision support. Operating at true enterprise scale, supporting hundreds … Embody the spirit of continuous improvement through agile sprint retros, RCAs, design review workshops, metrics monitoring forums coaching and developing junior team members using data to drive where we invest in the platform automation suite. Essential Experience & Job Requirements: Bachelor or equivalent experience in Computer Science, Engineering, Information ...

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide … enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact ...

build for travelers everywhere.Introduction to the TeamJoin Expedia Group’s Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions. As a Product Manager III, you’ll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement … personalization across global marketing campaigns on platforms such as Google, Meta and Apple.In This Role, You WillDrive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency.Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools.Translate ...

About Pangaea Data Pangaea Data (Pangaea) is a provider of a clinically validated AI platform that proactively uncovers care gaps, which cannot be pre-empted or prompted for because they are unknown, thereby delivering reliable, actionable insights that enable earlier intervention, improve quality and patient safety, and make … advanced clinical decision support accessible across both high and low resource settings. Pangaea’s founders Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology)have worked in medicine and computing for over ...

robust architecture design and deployment patterns for AI/ML models that align with business needs.Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.Ensure production-grade AI/ML applications and tools are built, maintained, and optimized.Establish … Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.Required Qualifications, Capabilities, and Skills:MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.Proven experience building and deploying AI applications in large-scale production environments.Experience with MLOps practices ...

architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production-grade AI/ML applications and tools are built, maintained … Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills: MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large-scale production environments. Experience with MLOps ...

heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide … will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help ...

enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description:About the Role As a Senior Forward Deployed … projects. You're not just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/workflows and RAG/SLM finetuning. Responsibilities Lead the technical solution design and implementation of large-scale Agentic ...

oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers looking to enhance their business or operational outcomes through … support • Make meaningful contributions to deep business discussionsAbout the teamGenerative AI Innovation Center What is it A program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:Imagine new applications of generative AI to address your needs.Identify ...

sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DFor candidates seeking to be located at our Stevenage … relocation is currently proposed to take effect by early 2029.Do you share a desire to advance scientific knowledge and harness the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK's medicine discovery portfolio The Data, Automation, and Predictive ...

will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate with engineers, researchers, data scientists, and business leaders in a hands-on, builder-focused environment. You will have the opportunity to grow your career while helping advance safe, reliable … build reusable AI engineering patterns, context management frameworks, evaluation pipelines, and production-ready AI services. You will partner closely with software engineers, AI and data science specialists, and operations stakeholders to identify high-value opportunities and deliver robust solutions integrated with strategic platforms and operational processes.Job ResponsibilitiesLead ...

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 ...

Role AI Engineer-AI Solutions Architect Experience (In Years) 12-15 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. … harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. ...

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 ...

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 ...

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 ...

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 ...

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 ...

summary Turning data, analytics & data science into high-quality digital products that make a difference. Design & build intuitive, secure & scalable data products transforming complex data & analytical capabilities into tools that people can easily access & use in their day to day work. Bring together software engineering … data & user-centred design, work closely with data scientists, analysts, BI specialists & operational teams to create the applications & digital experiences to bring data & insight to life. Includes interactive data products, decision-support tools, workflow applications & other digital services. Will lead engineering of products from discovery & prototyping ...

business through the full digital solutions lifecycle, from identifying process improvement opportunities and developing AI-enabled applications to automating routine activities and delivering data-driven insights. There is a requirement to be onsite in Wallingford for 5 days a week to provide visible, day-to-day support. Key Responsibilities … functional requirements and translate them into practical digital solutions. Identify opportunities to automate repetitive operational activities using AI and workflow automation. Analyse multi-source data to identify trends, opportunities and performance improvements. Develop dashboards, reports and visualisations to support operational decision-making. Support the implementation and testing ...

summaryTurning data, analytics & data science into high-quality digital products that make a difference. Design & build intuitive, secure & scalable data products transforming complex data & analytical capabilities into tools that people can easily access & use in their day to day work. Bring together software engineering, data & user-centred design, work closely with data scientists, analysts, BI specialists & operational teams to create the applications & digital experiences to bring data & insight to life. Includes interactive data products, decision-support tools, workflow applications & other digital services. Will lead engineering of products from discovery & prototyping ...

powered experiences where they matter most.At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.Help build, support and operate technology used … standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices.Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies.Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business EngagementAct as a trusted advisor to customers ...

millions of operational events a year. They invested in and built a central AI function twelve months ago. It's now 15 strong across Data Science, Data Engineering, Product and AI Engineering, and growing!Squad model: DS, DE, Product and AI Engineering form around a problem … Databricks - not expert level, similar can work but someone who has clear experience with cloud infrastructure• MLOps - CI/CD, containerisation, monitoring, evaluation frameworks.• Data at scale - large, complex datasets and robust pipelines for training, fine-tuning and inference.Not for: solution architects, software engineers without applied AI, data ...

millions of operational events a year. They invested in and built a central AI function twelve months ago. It's now 15 strong across Data Science, Data Engineering, Product and AI Engineering, and growing! Squad model: DS, DE, Product and AI Engineering form around a problem … Databricks - not expert level, similar can work but someone who has clear experience with cloud infrastructure MLOps - CI/CD, containerisation, monitoring, evaluation frameworks. Data at scale - large, complex datasets and robust pipelines for training, fine-tuning and inference. Not for: solution architects, software engineers without applied AI, data ...

September 10th, 2026 Please Join Us in Putney as IT BUSINESS SOLUTIONS MANAGERThe role is aimed to support JTI markets in Western Europe with data-driven decision-making strategy, primarily focused on Strategic Insights and Commercial Planning. As IT Business Solutions Manager for Data &Analytics this role involves … design, implementation, and evolution of data-related solutions. The focus is on improving the value of data through a combination of business acumen, strong analytical skills, and problem-solving expertise. The role requires:Data mindset and business acumenStrong analytical backgroundAdvanced project management and problem-solving capabilitiesBe familiar ...