1,451 to 1,475 of 2,167 Data Science Jobs

Day6 months long The Company They are a well-established media business with a strong digital presence and a growing focus on data and AI innovation. Their teams leverage advanced analytics and machine learning to better understand audiences, improve content performance, and support commercial growth. As part of their … Design, develop, and deploy machine learning models into production environments. Build AI solutions that support audience segmentation, content recommendation, and engagement optimisation. Develop scalable data and machine learning pipelines to support high-volume media datasets. Collaborate with data scientists, data engineers, product teams, and business stakeholders ...

well as doing those things that are best done once for the whole NHS. Our staff bring expertise across clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial specialisms -- enabling us to design and deliver high-quality NHS services. In March 2025, the Government … successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR).This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage ...

will work across frontend and backend, building scalable features and shaping direction while mentoring teammates. The role emphasizes AI-native development, real-time data, and robust visualisations to enable brands to derive actionable insights. You will collaborate with Product, Design and Data Science to shape discovery through ...

level economics to shape structure and bids. Lead the Daily Trading Room: identify opportunities, isolate issues, and deploy rapid interventions. Work with Data/BI teams to operationalise performance‐based product movement rules, activation logic, and automated routing systems that dictate bidding exposure. Efficiency & Wastage Reduction Own wastage elimination … improve tracking approaches across PMax, Shopping Profit frameworks, and revenue tracking systems. Ensure structure and tracking changes are documented, measurable, and repeatable. Partner with Data Science to operationalise propensity segmentation. Own end‐to‐end conversion tracking integrity, including server‐side conversions API, GTM audits, feed attribution, and ongoing ...

Head of Product to lead the optimisation and orchestration product suite. You will define the long-term strategy, drive monetisation, and partner with Engineering, Data Science, Sales, and Marketing to deliver high-impact, data-driven product capabilities across the payments landscape. You will translate analytical insights into ...

cloud-native technologies. Responsibilities Technical Leadership Design and operationalize advanced detections across cloud, container, and on-prem environments. You will build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA's detection infrastructure. You will define detection lifecycle processes governance, and performance metrics. Lead development … Chain, NIST CSF). Experience with cloud security platforms (e.g., Wiz) and integrating their outputs into detection pipelines. Background in AI/ML or data science applied to cybersecurity detections. Understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development plans ...

because our product is customer‐facing, building and maintaining reliable, trustworthy systems is central to what we do. You will work alongside the lead Data Science/AI engineer and report to the Head of AI Product — both of whom are hands‐on developers, so this is very … prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data pipelines. Experience with deployment, Docker, logging and configuration. Understanding of the internal Marsh Tech landscape — OSS2, networking, the Voyager process, and similar ...

because our product is customer-facing, building and maintaining reliable, trustworthy systems is central to what we do. You will work alongside the lead Data Science/AI engineer and report to the Head of AI Product — both of whom are hands-on developers, so this is very … prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data pipelines. Experience with deployment, Docker, logging and configuration. Understanding of the internal Marsh Tech landscape — OSS2, networking, the Voyager process, and similar ...

Unite Students is seeking an experienced Data Engineering Lead to join our Data & Insight team and shape the future of our data capabilities. You'll lead and develop a team of Data Engineers, provide technical direction while remaining hands-on with complex engineering challenges, including … evolution of our Databricks data platform and data pipelines that support analytics, reporting and data science. #J-18808-Ljbffr ...

raise performance for our merchants: resolving acceptance-rate issues that originate at the bank level through various types of collaborations, from investigations to proactive data sharing. As a Product Engineer on the team, you will build the foundational layer to productize and scale this value stream. You will design … build and ship agentic workflows, APIs, and internal tools for the team to drive our merchants and issuers performance proactively – as well as the data products we deliver to issuing banks directly. You will own what you build from prototype to production. You will work closely with data ...

relational database solutions. The role requires a solid engineering background, advanced Python proficiency, and experience with analytical and relational databases. You will collaborate with data science and product teams to deliver scalable backend systems that power analytics and betting platforms. #J-18808-Ljbffr ...

solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven … prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions ...

Data Science Festival is seeking a Principal Software Engineer to lead architectural direction in a growing SaaS platform. This hands-on technical leadership role blends design oversight with coding excellence. You will mentor engineers, shape cloud-native solutions on Azure, collaborate with Product and stakeholders, and help advance ...

NVIDIA Corporation in Reading seeks a Solutions Architect with deep GenAI, data science, and ML expertise to engage with Google Cloud and our hyperscaler partners. You will be the primary technical liaison between NVIDIA, partners, and end-customers, delivering PoCs and scalable NVIDIA-based solutions for AI workloads. ...

automations to support Ops teams at scale. Expect ownership from an engineering perspective, shipping features used daily by Ops and collaborating with Product, Data Science and Analytics. Hybrid work model with in-office days and remote collaboration options. #J-18808-Ljbffr ...

this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, DSP, Electronics, FPGA, RF, Power, Javascript, Typescript, React, Golang Development, Machine Learning, Data Science or Simulation contact us today ...

other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today. ...

while working closely with engineering and product teams to ensure successful outcomes. The Candidate Key attributes of the suitable Lead AI Engineer include: Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments. Agentic AI & Modern AI Systems Experience – Hands ...

company – Lead AI Solutions Engineer About the job the company delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders ...

assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement. Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations. Ensure ongoing ...

30pm . The opportunity We're looking for 2 IT Support Analysts to join the Support Bar team of a leading global customer data science, analytics and retail technology organisation. This is a hands-on, customer-facing role supporting users across a modern, technology-driven environment. ...

130+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management. We are seeking a Senior Project Manager for our Operations team in Oxford to manage contracted battery ...

backed by top-tier VCs and multiple unicorn founder angels. If you like: Solving hard problems at the intersection of software & healthcare/data science The pursuit of excellencehelping each other to do the best work of our careers Working in an in-person collaborative environment Taking ownership ...

team. You will design, scale, and maintain high-performance MLOps and LLMOps infrastructure supporting our AI-infused scenario planning platform. You will collaborate with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while optimizing GPU utilisation, reliability, and cost-efficiency. #J ...

longitudinal datasets. You will apply statistical and machine learning techniques to mortality, morbidity, and disability risk, informing underwriting and product development. Collaboration with actuaries, data scientists, and medical experts is essential. Ideal candidates hold a quantitative degree, strong modelling skills, and proficiency in Python or R and SQL. #J ...