1,151 to 1,175 of 1,271 Permanent Data Science Jobs

doing something you are passionate about. My client is based in London. Skills Needed Java, C++, Erlang, F#, Scala , Haskell, Django, Python, Twisted, NoSQL, Data Science... ``` #J-18808-Ljbffr ...

Empire ABC7 News: The State of Children's Privacy Online NBC News: How many apps are tracking your children Our team of lawyers, data scientists, engineers, economists, and researchers spans globally with presence in California, New York, Washington, DC, London, and Singapore. Role Overview At Pixalate, we are building ...

enterprise technology in a large, international business services environment. ERP implementations, not just SaaS rollouts. AI fluency. You don't need to be a data scientist. You do need to know how to scope, prompt, and deploy AI tools to solve real operational problems, and you need to have ...

ensure the delivery and quality of engineering projects. This role is pivotal in driving Biorelate's mission of improving drug discovery through innovative data science solutions. #J-18808-Ljbffr ...

Title: Product Data Scientist - Hybrid - Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer … focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist , you'll work ...

scratch, channelling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact. \ NAs a Data Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver … domain experts to understand business problems.\ N\n Providing stakeholders with timely and accurate reporting.\ N\n Performing ad hocanalysis based on diverse data sources to give decision-makers actionable insights about the performance of the products, customer behavior and market trends.\ N\n Presenting your findings ...

scratch, channelling our start-up mentality every step of the way meaning you'll have the opportunity to make a real impact. As a Data Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver … partners, research teams and domain experts to understand business problems. Providing stakeholders with timely and accurate reporting. Performing ad hoc analysis based on diverse data sources to give decision-makers actionable insights about the performance of the products, customer behavior and market trends. Presenting your findings in a clear ...

Data Scientist (Python SQL Maths) Newcastle onsite to £80k+ Are you a Data Scientist, with a first class education and strong Python programming skills? You could be progressing your career, as a Data Scientist, working on complex and interesting systems at a FinTech scale-up, they have … secure backing and an established Hedge Fund client as a partner. As a Data Scientist you'll be mainly using backend Python and SQL to investigate data sets, analysing and manipulating large, novel data sets to understand financial trends and present these findings to the business. There ...

Data Science Festival is looking for a Staff Security Engineer to join their innovative team in London. This hybrid role focuses on securing applications, cloud infrastructure, and embedding security within the software development lifecycle. The successful candidate will drive application and product security initiatives, conduct security reviews ...

distribution systems that power city-scale delivery. You will lead a squad of engineers, shape technical strategy, and drive cross-functional collaboration with data scientists, product, and operations to deliver measurable improvements in efficiency and reliability. Based in London, you will mentor engineers, raise engineering standards, and champion architecture ...

design and creative sharing sessions to help drive consistency of the brand experience and provide feedback regularly. You’ll work closely with product managers, data scientists and engineering teams to make sure your team isn’t just shipping great designs, but they are deeply involved throughout the design process. ...

Senior Data Scientist (Biostatistics) London, UK (Hybrid 23 days per week) Up to £80,000 + Benefits The Opportunity We are seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This … role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. You'll work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities Partner with biostatisticians ...

keep our customers' needs in mind. To provide the best experience for businesses, we prioritise projects using deep research based on the data, collect the feedback from customers and learn from our mistakes. At Wise, we believe in independent teams where we define our priorities ourselves and everyone … deep understanding of JDBC and database internals. Experience with CI/CD pipelines and Distributed and Concurrent Systems Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus A strong product mindset and passion for user ...

keep our customers' needs in mind. To provide the best experience for businesses, we prioritise projects using deep research based on the data, collect the feedback from customers and learn from our mistakes.\ NAt Wise, we believe in independent teams where we define our priorities ourselves and everyone … deep understanding of JDBC and database internals.\ NExperience with CI/CD pipelines and Distributed and Concurrent Systems\ NExperience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus\ NA strong product mindset and passion for user ...

Overview iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer resilience against deepfakes and generative AI threats while ensuring scalable user experiences. Trusted … teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone who can think strategically about ...

solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture … leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities ...

solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture … leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities ...

solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture … leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities ...

keep our customers' needs in mind. To provide the best experience for businesses, we prioritise projects using deep research based on the data, collect the feedback from customers and learn from our mistakes. \n At Wise, we believe in independent teams where we define our priorities ourselves and everyone … understanding of JDBC and database internals. \n Experience with CI/CD pipelines and Distributed and Concurrent Systems \n Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus \n A strong product mindset and passion ...

Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines. Mandatory skills: Java, Snowflake, MongoDB, Kafka Core Competencies Languages: Java (717), Python Frameworks … Checkmarks, SonarQube, Datadog, Soda, SSRS, etc. Cloud: Azure, AWS (S3) basic Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Need Hands on AI skills. Key Responsibilities Full Stack Development: Build and maintain scalable web applications ...

sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco‐friendly practices in state‐of‐the‐art, geo‐diverse facilities. Tether Data: Fueling breakthroughs in AI and peer‐to‐peer technology, we reduce infrastructure costs and enhance global communications with cutting‐edge solutions like KEET … flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top‐tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries ...

Data Scientist - Operational Modelling & Simulation Location: Middlesex - Hybrid (3 days onsite, 2 days from home) Salary: £40,000 - £45,000 dependent on experience Ref: J13156 A global technology organisation is seeking a Data Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world … different audiences A background within transport, logistics, aviation, engineering, manufacturing, supply chain or similar operational environments would be highly advantageous. This would suit a Data Scientist who enjoys modelling how things work, testing scenarios and seeing their work influence real-world decisions. Apply now or get in touch ...

Title: Data Scientist Talent Matching C Optimization Algorithms Location: Sheffield/Birmingham (3 days per week in the office) Overview one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses … central role in driving technology transformation, operational resilience, and continuous improvement across the bank's technology landscape. As part of the CTO organisation, the Data team works closely with technology, operations, and business stakeholders to understand current processes, identify opportunities for improvement, skills gaps, and support the successful delivery ...

Designing, developing and deploying AI‐enabled applications across cloud platforms Building and scaling Retrieval‐Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version … control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production‐ready services Engaging stakeholders to identify and shape high‐value AI use cases Ensuring all solutions ...

Designing, developing and deploying AI‐enabled applications across cloud platforms Building and scaling Retrieval‐Augmented Generation (RAG) pipelines and agentic AI systems using trusted data sources Creating, testing and refining prompts, workflows and AI configurations to maximise accuracy and performance Applying solid software engineering practices including API development, version … control, CI/CD and automated testing Monitoring and optimising AI systems in production, ensuring performance, cost control, security and compliance Collaborating closely with Data Scientists to transition experimental models into robust, production‐ready services Engaging stakeholders to identify and shape high‐value AI use cases Ensuring all solutions ...