801 to 825 of 1,240 Permanent Data Science Jobs

ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations.\ N\nThis is a greenfield build with strong investment and direct engagement from … Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible.\ NYou’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal ...

infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation ...

technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions … modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global ...

ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations. \n\n This is a greenfield build with strong investment and direct engagement … Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible. \n You’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal ...

Senior Quantitative Analyst Overview 🏢 Company | Financial Market Data & Analytics 👤 Position | Senior Quantitative Analyst 🎯 Impact | Market microstructure, Quantitative research, Client-facing product innovation 📏 Size | Around 100 people 🌟 You’ll use | Python, Market Data, Quantitative Research 📍 Location | London 💻 Hybrid | 2 days a week in the office 💰 Offer | Competitive salary + … when the model works. The interesting part starts when you ask why . If you’ve spent the last few years working with exchange data, futures or options order books, you’ll know there’s a huge difference between producing a model and explaining what it’s means ...

with senior stakeholders across technology, product, and business divisions* Excellent communication skills at all organizational levels* Capability to work cross-functionally with architecture, product, data science, proposition, and project management teams***Who you’ll be working with***Software Engineers, Software Architects, Data Scientists, Product Managers, Project/… next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. ...

About Orchid AI: Orchid AI is building an AI-native asset management platform that combines quantitative research, machine learning, agentic AI systems, and alternative data to generate differentiated investment insights and systematic investment strategies. Our mission is to create a modern research and portfolio management stack where human expertise … research automation, portfolio construction, and operational efficiency. Provide feedback on AI product strategy, architecture, and differentiation. Help evaluate new AI capabilities, models, and alternative data sources. Support the development of scalable AI-native research and portfolio management solutions. Share perspectives on how leading asset managers, hedge funds, pension funds ...

building intuitive, scalable products Collaborative Leader: Interpersonal and communication skills, with the ability to direct cross-functional initiatives and collaborate seamlessly across teams Data-Driven: Analytical skills, with extensive experience in using data to inform strategy and decision-making You constantly look to raise the bar for yourself … scaling Trustpilot’s B2B app offering. It encompasses seven cross-functional teams: Growth Monetisation, Growth Adoption, Digital Business, Reviews and Core, Product Reviews Foundations, Data Insights, and Enterprise Experience As the Engineering Leader for Engine 2, you would play a key role in collaborating with cross-functional counterparts across ...

previously served in the military, blue light services or currently as a serving reservist or military spouse? Do you have demonstrable experience in Data, Analytics, or related technology roles? Are you ready to transition into a new career with upskilling and career coaching included? Then you’ll want … award-winning Ex-Forces Programme — designed to help service leavers, veterans and former blue light personnel transition into a new civilian career in our Data and Analytics Practice. Since 2012, FDM’s Ex-Forces Programme has provided a next step for over 1,100 people globally, offering opportunities ...

support transparency and knowledge sharing Required Qualifications, Capabilities, and Skills Proficiency in programming with Java, C++ or another object‐oriented language Experience performing data analysis in Python, including proficiency with data science libraries such as NumPy and pandas, and visualization tools Ability to translate quantitative models into … commitment to quality in fast‐paced environments Interest in financial markets and systematic trading Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering or another quantitative field Preferred Qualifications, Capabilities, and Skills Knowledge of Fixed Income and Rates markets Experience with high‐frequency, algorithmic or electronic ...

work experience in one or more of the following areas is preferred: Professional Services, IT Infrastructure, Enterprise Architecture, Service Management, Engineering, Technology Sales, Cybersecurity, Data Science and related. Multi‐technology (Data Center, Network, Security, Collaboration, Compute, Development) domain expertise, advisory, and evangelism in one or more vertical ...

Lead Data Analyst London, Hybrid (3 days per week) £80,000 to £90,000 This is a standout opportunity to lead analytics for one of the most dynamic digital content environments in the UK. You will shape how data informs decisions across podcasts, video, social platforms … They are a major player in the UK’s digital media and entertainment landscape, operating across audio, video, social, and emerging digital products. Their data function is well‐established, with modern tooling, cross‐functional squads, and a strong focus on innovation. As the business continues to expand its digital ...

Data Scientist | Remote | AI & Machine Learning | AWS | Azure | LLM If you're excited by solving complex problems with AI rather than simply maintaining existing models, this could be the opportunity you've been waiting for. We're looking for a Data Scientist who wants to work … play a key role in shaping solutions that help businesses operate more safely, efficiently and intelligently. You'll join a collaborative team of Data Scientists, AI Engineers, Data Engineers and DevOps specialists who are investing heavily in modern AI technologies and building products used by thousands of users ...

solutions that help keep the nation safe, secure, and prosperous. This is an exciting opportunity to work on cutting-edge technologies, including Artificial Intelligence, Data Science, Cyber Security, Cloud, DevOps, SRE, and Platform Engineering, supporting complex and high-impact programmes. As a technically focused Business Analyst or business … define system options, and support the successful delivery of innovative solutions. Key Responsibilities Gather, analyse, and document business and technical requirements. Conduct process mapping, data analysis, and requirements management activities. Define and evaluate system options to support engineering and delivery teams. Collaborate with stakeholders to understand business needs ...

operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many … founder‐led, profitable, and growing. We are hiring an Engineering Manager for Ceph & Distributed Storage. The world creates more than 2.5 quintillion bytes of data every day! We want to help teams to store data in open source storage on commodity hardware – safely, cheaply and simply. Our goal ...

proof-of-concept to scalable, enterprise-grade deployment with measurable adoption and impact.Data & Platform Strategy* Own the Applied AI platform strategy, including real-time data pipelines, ML feature stores, model registries, and agentic runtime and control plane infrastructure.* Partner with relevant teams and stakeholders to ensure a coherent, governed … platform that meets enterprise architecture, regulatory, and risk requirements.**PERSONAL REQUIREMENTS*** Significant experience senior leadership roles within financial services; significant experience in AI, or data science technology.* Proven track record building and scaling applied AI functions within global markets, capital markets, or institutional financial services.* Familiarity with core ...

delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOpsareas.\ NOur Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join us to work … processes and release quality. \ NMentor and provide technical guidance to other QA Engineers within the programme.\ N\nSkills Required:\ N\nBachelor’s in computer science or related field\ NYears of experience: 8-10 years\ NExtensive hands-on experience in QA Automation and Test Engineering within enterprise environments. \ NProven experience ...

delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas. \n Our Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join … quality. \n Mentor and provide technical guidance to other QA Engineers within the programme. \n\n Skills Required: \n \n Bachelor’s in computer science or related field \n Years of experience: 8-10 years \n Extensive hands-on experience in QA Automation and Test Engineering within enterprise environments. ...

delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas. \n Our Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join … quality. \n Mentor and provide technical guidance to other QA Engineers within the programme. \n\n Skills Required: \n \n Bachelor’s in computer science or related field \n Years of experience: 8-10 years \n Extensive hands-on experience in QA Automation and Test Engineering within enterprise environments. ...

simulations for complex real-world applications Work closely with software, systems and modelling teams to support implementation and integration activities Contribute to machine learning, data-driven and optimisation techniques where applicable Support continuous improvement of algorithm development methodologies and engineering processes Ensure robust verification, testing and quality standards throughout … Experience in some of the following areas is highly desirable: Algorithm development or mathematical modelling Numerical analysis and simulation Machine learning/AI techniques Data science methodologies Geospatial analysis or GIS technologies Scientific programming or software development MATLAB, Simulink and/or Python Strong analytical and problem-solving ...

Descriptionhackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role.\ Ndunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight … frontend, PostgreSQL, and GitOps deployment\ NDesign scalable backend systems (APIs, event handling, clean architecture patterns)\ NDeliver high‐qualityfrontend experiences with accessible components and strong data/state management\ NWork with cloud‐native, declarative infrastructure (Kubernetes, Crossplane, CRDs)\ NMaintain high standards across testing (unit, integration, contract) and code quality\ NApply ...

Description hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine … GitOps deployment \n Design scalable backend systems (APIs, event handling, clean architecture patterns) \n Deliver high‐quality frontend experiences with accessible components and strong data/state management \n Work with cloud‐native, declarative infrastructure (Kubernetes, Crossplane, CRDs) \n Maintain high standards across testing (unit, integration, contract) and code ...

global credit analytics business is expanding its AI capability across both internal operations and client-facing products. The team sits at the intersection of data science, credit intelligence, and applied AI, building solutions that support better lending, pricing, and decisioning outcomes. With access to large-scale financial datasets ...

Experience designing scalable cloud architectures and integrating with enterprise systems. Familiarity with common LLM frameworks and tools or a background in machine learning or data science. Excitement for engaging in cross‐organizational collaboration, working through trade‐offs, and balancing competing priorities. A love of teaching, mentoring, and helping others ...

that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle, from data preparation and model training through to deployment and optimisation. Translating research concepts into robust, scalable production solutions. Monitoring, debugging and improving models using production … data and user feedback. Working closely with software engineers, researchers and product teams to deliver impactful features. Mentoring other engineers through technical leadership, code reviews and best practices. Building systems that balance performance, latency, reliability and scalability. Technology Python PyTorch and/or JAX GPU-based model training ...