901 to 925 of 1,349 Permanent Data Science Jobs

full description below, and please apply immediately if you are confident you meet all the requirements. 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 deep … PostgreSQL, and GitOps deployment Design scalable backend systems (APIs, event handling, clean architecture patterns) Deliver high quality frontend experiences with accessible components and strong data/state management Work with cloud native, declarative infrastructure (Kubernetes, Crossplane, CRDs) Maintain high standards across testing (unit, integration, contract) and code quality Apply ...

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 ...

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 ...

Leeds (Hybrid - 2 days per week in office/client site as required) THE COMPANY This organisation is a well-established provider of data, analytics and decisioning solutions to major financial services, fintech and payments businesses. As part of a strategic expansion, they are investing in a high-impact … consulting function designed to help clients turn data into tangible commercial outcomes across the customer lifecycle. THE ROLE You will lead end-to-end analytics consulting engagements, acting as a trusted advisor to senior stakeholders while helping to build and scale a growing consulting capability. This is a highly ...

Consulting London or Leeds (Hybrid, two days per week) Up to £120,000 This is a strong opportunity to join a a well established data and analytics organisation operating at the heart of the UK financial services ecosystem. This role sits in their growing analytics consulting practice … relationships with senior stakeholders Translate complex analytical outputs into clear, commercially focused recommendations Shape project approach and solution design in partnership with analytics and data science teams Contribute to commercial activity including proposals, pitches and account growth Support the development of a new consulting practice, with clear progression ...

Infrastructure as Code (Terraform, ARM, CloudFormation) Programming & Development Strong coding background (e.g., Java, C#, Python, Node.js) Understanding of software development lifecycle (SDLC) Data & Storage SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) Desirable skills: BPSS/NPPV or SC cleared Requires both collaboration & client interaction. About Peregrine We build workforces … that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients ...

improves technology so that strategic ambitions can be delivered in a practical and controlled way. You will structure ambiguous problems, assess facts and data, develop clear recommendations, and support leaders in turning decisions into implementation. The work can range from strategy and target operating model design to governance, performance … transformation problems, identify root causes, and develop structured recommendations Translate strategic objectives into concrete operating model choices, roadmaps, milestones and measurable outcomes Use data to assess performance, quantify issues, test assumptions and support evidence-based decisions Work with stakeholders across business and technology to build alignment, challenge constructively ...

with research, software engineering and product teams to build scalable, production-grade AI solutions. Responsibilities Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning … preference optimisation and model distillation. Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. Build and maintain high-quality data pipelines for both synthetic and real-world datasets. Develop robust evaluation frameworks covering model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage ...

excel at navigating complex Enterprise organizations with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You have 3+ years of hands‐on experience writing production Python code … cases that justify significant investment and strategic partnership. You lead the design and execution of proof‐of‐value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production‐grade ...

A fast-scaling RegTech startup is seeking a Senior AI Engineer to ensure the quality of AI outputs and design cutting-edge solutions. This role requires a proven record in delivering impactful ML/AI ...

The Company A fast-scaling RegTech startup is looking for a Senior AI Engineer to help shape and scale its next-generation regulatory change management platform, powered by GenAI and automation. Backed by a major ...

AI.What you will do:Create high-quality, clear, actionable, “must-have research” content based on research best practices and methodologies in analytics, AI and data science. Specific focus areas will include strategy, business value, best practices, market trends, technologies and vendors.Identify the root cause of a client’s barriers … innovative, thought-leading, impactful, analytically-deep, fact-based research. Specific topics will be Agentic analytics, Decision Intelligence, AI Engineering, Content Management, Analytics and BI, Data Science and Machine Learning.Provide clients and prospects with actionable analytics & AI-centric advice via virtual or face-to-face interactions.Create and deliver presentation ...

Identify high‐value opportunities for AI, intelligent automation, LLMs, workflow redesign, decision intelligence, and agentic solutions. Partner with business sponsors, designers, AI Hub, engineering, data, risk, and platform teams to shape solutions that are valuable, feasible, usable, and governable. Help convert discovery outputs into prioritised product opportunities, build paths … tools, prototypes, and product solutions. Define what should be automated, augmented, escalated, or kept human‐led. Work with technical partners to define orchestration needs, data requirements, permissions, integration considerations, model behaviour, and evaluation needs. Use approved AI tools and methods to accelerate research, synthesis, product thinking, requirements development, prototyping ...

Customer Insight Lead. The business is backed by a global financial services group and continues to operate at scale; they’re investing heavily in data, analytics, and customer insight, and doubling down on personalisation and customer-centricity, with insight at the core. THE ROLE Reporting into the Director … senior individual contributor role acting as the strategic glue across Analytics, BI, and Insight. Define and drive the customer insight strategy and frameworks Bridge data, tech, and business teams to ensure insight drives decisions Partner with Marketing, Product, and Data Science Champion a customer-first mindset across ...

selected FemTechConf partner organisations that are actively looking for talent professionals to help hire across areas such as: Software Engineering AI and Machine Learning Data and Analytics Product Management Cloud and Infrastructure Cybersecurity Engineering Leadership Commercial and GTM Teams People and Operations Our partners include startups, scale-ups, global … technology companies, consulting organisations, AI-focused businesses, enterprise technology teams, and companies investing heavily in product, engineering, data, cloud, and digital transformation. This is an open application opportunity designed to connect strong talent acquisition professionals with current and future recruitment opportunities across our partner network. About FemTechConf FemTechConf ...

engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. What … with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. Additional Information Interested? Find out more: How we work ...

engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently.\ NWhat … focus on delivering user and business value.\ N\nNice to Have:\ N\n\n Understanding of basic machine learning concepts and experience building data pipelines.\ N\n Mentorship experience, helping team members grow and contributing to a culture of continuous learning.\ N\nAdditional Information\ NInterested? Find out more ...

engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. \n What … focus on delivering user and business value. \n\n Nice to Have: \n \n \n Understanding of basic machine learning concepts and experience building data pipelines. \n \n Mentorship experience, helping team members grow and contributing to a culture of continuous learning. \n\n Additional Information \n Interested? Find ...

engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. \n What … focus on delivering user and business value. \n\n Nice to Have: \n \n \n Understanding of basic machine learning concepts and experience building data pipelines. \n \n Mentorship experience, helping team members grow and contributing to a culture of continuous learning. \n\n Additional Information \n Interested? Find ...

crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research … training to production deployment – that future models follow Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible Mentoring engineers ...

crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research … training to production deployment - that future models follow Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible Mentoring engineers ...

crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research … training to production deployment - that future models follow Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible Mentoring engineers ...

full life cycle. Working with an internationally dispersed team the Lead PHP Developer/Senior Web Developer will: Work with both Project Managers and Data Scientists to define, manage and deliver projects Play a lead role in the architecture and design of web-based systems Develop code within … lesser degree), SQL/MySQL, HTML, CSS and Javascript (inc React.js and Vue.js) Architect, build, and deploy scalable, cloud-native, AI-powered data-driven products in AWS Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines ...