1,176 to 1,200 of 1,657 Data Science Jobs in London

to local media agency dedicated to delivering transformative results. With our performance DNA and expertise spanning search, media planning and buying, SEO, creative production, data science and analytics, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by our proprietary AI platform … identify opportunities to grow existing client relationships. Manage internal aspects of a project implementation including preparation of client engagement briefings and proposals, tracking client data, QA validation, and reporting of internal and external client activities and communications Ensure project requirements are documented. Develop internal relationships with all delivery teams … manage multiple projects simultaneously Analytical skills, with the ability to see all of the pieces and how each piece fits together Ability to report data and to relate results to client objectives Excellent presentation skills shown in the creation and delivery of material, in person and virtually Good interpersonal More ❯

learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based … Experience with version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong problem-solving and analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep … of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model evaluation. Knowledge of ML model deployment and serving strategies, including containerization and microservices. Familiarity with ML lifecycle management, including More ❯

groundbreaking research in machine learning and artificial intelligence with a focus on large-scale foundation models. Apply your scientific knowledge to analyze and collect data, perform analyses, conduct experiments and identify problems, as well as devise solutions through hands-on ML development. Work on practical applications such as recommendation … publishing, giving talks, and being an active community member at top conferences. Who You Are You have a Masters or PhD in machine learning, data science, or related areas or are enrolled in an advanced degree program. Demonstrated expertise in machine learning or artificial intelligence through peer-reviewed More ❯

and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. We're looking for a talented Senior AI Product Manager to join our … strong user empathy, deep understanding of AI technologies, hands-on experience in AI/ML product development, and a collaborative mindset-who thrives on data-driven decision-making and is eager to learn about customer needs to build innovative, scalable solutions-we'd love to meet you! Your new … AI and ML trends, tools, and technologies, assessing their potential application and competitive impact to proactively shape product strategy and innovation Partner closely with data teams to define, implement, and continuously refine the data strategy-ensuring high-quality data availability, accessibility, governance, and compliance to power robust More ❯

Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage … and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. We're looking for a Technical Recruiter based in London to help scale our T echnology and Product teams across … Do Own and drive full-cycle recruitment (sourcing to offer close) for technical roles across multiple international locations. Partner with Hiring Managers across Engineering, Data Science, Product, and Design to define needs, shape hiring strategy, and deliver results. Champion the candidate experience -guide candidates through our interview process More ❯

The Company is looking for an individual with strong analytical and coding skills to fill a global role supporting local business teams with data, models, and insight related primarily to mortality improvements. Location: London Category: Data Science Type: Permanent Key Duties (Including but not limited to): Builds More ❯

effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be picked from shipper warehouses to … models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML More ❯

ambiguity. Continuous Learning: Willingness to learn new concepts and technologies. Education Required: Bachelor's or higher degree in natural sciences, mathematics, statistics, physics, engineering, data science, or information systems. Responsibilities This role's core purpose is to oversee current and future cyber modeling solutions to support the development More ❯

/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop More ❯

/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop More ❯

AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms (AWS, GCP, Azure). ✅ Collaborating with data scientists, engineers, and product teams to ship AI features that make a real impact. ✅ Implementing MLOps best practices for seamless model deployment, monitoring, and More ❯

AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms (AWS, GCP, Azure). ✅ Collaborating with data scientists, engineers, and product teams to ship AI features that make a real impact. ✅ Implementing MLOps best practices for seamless model deployment, monitoring, and More ❯

and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Visit here , for more information about how we hire, what's in it for you, our More ❯

ahead of the latest advancements in generative AI, reinforcement learning, and multi-agent systems to drive innovation within the company. Qualifications Masters degree in Data Science. Thought leader and expert in applied Generative AI, as proven by technical talk(s) delivered at industry conferences focused on Generative AI. Proven More ❯

in driving our strategic initiatives forward. This role is essential in leveraging our new and existing assets to build strong client relationships, deliver impactful data-driven marketing strategies, and support high-revenue engagements. By bringing in a seasoned expert with a deep understanding of the sector, we aim to … Present at conferences and events to showcase expertise and engage with industry leaders, enhancing Experian's brand credibility. About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare … create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services More ❯

We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At More ❯

have the opportunity to take ownership of a key growth area for the company. You'll collaborate with Engineers, Designers, Marketing teams, Business Operations, Data Scientists, and other Product Managers to deliver impactful solutions that drive meaningful results. This opportunity requires you to be located in the United Kingdom. … Product Management Experience: Experience as a product manager or product owner, including full responsibility for significant initiatives. Tech Savvy: Can work with engineers and data scientists to understand how technical decisions and trade-offs impact your product and users. Strong Business Acumen: Track record of building business cases and … gaining buy-in for revenue-generating solutions. Problem Solver: You can work closely with our Data Science team to drill into problems and identify opportunities, while being comfortable running your own analyses using SQL to dive into key metrics. Effective Communicator: Ability to zoom in and zoom out More ❯

Senior Data Engineer role at a fast-growing media agency. Salary to £70,000 + benefits. You must have previous experience within a media related business to be considered for this role. We're looking for someone that is skilled in both SQL and Python (with PySpark/Spark … with the resources of a global network. This is an agency where individuality and inclusion are championed, and bold ideas thrive. The role Senior Data Engineer Shape the Future With Data As a Senior Data Engineer , you’ll lead the way in transforming how data drives … decision-making and innovation. You’ll design cutting-edge pipelines, build automation frameworks, and enable seamless collaboration between analysts and data scientists. This is your chance to work across high-profile projects, from scaling infrastructure to developing advanced analytics solutions, while mentoring a talented team of junior engineers. If More ❯

Senior Data Engineer role at a fast-growing media agency. Salary to £70,000 + benefits. You must have previous experience within a media related business to be considered for this role. We're looking for someone that is skilled in both SQL and Python (with PySpark/Spark … with the resources of a global network. This is an agency where individuality and inclusion are championed, and bold ideas thrive. The role Senior Data Engineer Shape the Future With Data As a Senior Data Engineer , you’ll lead the way in transforming how data drives … decision-making and innovation. You’ll design cutting-edge pipelines, build automation frameworks, and enable seamless collaboration between analysts and data scientists. This is your chance to work across high-profile projects, from scaling infrastructure to developing advanced analytics solutions, while mentoring a talented team of junior engineers. If More ❯

back end systems that provide continuous and uninterrupted analytics Building beautiful, informative user experiences Working directly with the Portfolio Managers Requirements: Undergraduate in computer science or related field 1-2 years' + experience in a software development role An aptitude for building highly reliable software stacks and intuitive UX … Strong grounding in best practices of software development Professional experience with python Proficiency with common data science libraries such as pandas, numpy and scipy Comfortable with quickly evolving requirements Additional Valuable Skills: Experience designing and building front end apps Understanding and appreciation of dev ops industry standards Familiarity More ❯

Engineer, you'll be responsible for designing, building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into … production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous improvement of ML practices and infrastructure Requirements: 2-3 years of More ❯

Engineer, you'll be responsible for designing, building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into … production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous improvement of ML practices and infrastructure Requirements: 2-3 years of More ❯

product owner, including full responsibility for significant initiatives. Experience in ad tech is preferred but not required. Tech Savvy: Can work with engineers and data scientists to understand how technical decisions and trade-offs impact your product and users. Strong Business Acumen: Track record of building business cases and … gaining buy-in for revenue-generating solutions. Problem Solver: You can work closely with our Data Science team to drill into problems and identify opportunities, while being comfortable running your own analyses using SQL to dive into key metrics. Effective Communicator: Ability to zoom in and zoom out More ❯

experiences and support healthcare professionals. Responsibilities include translating business goals into digital products, leading product management teams, and setting industry standards. Collaboration with engineering, data science, and AI teams is essential to leverage technical capabilities and gain a competitive edge. Develop and execute the digital product strategy in … principles Skilled in agile development practices and leading cross-functional teams Ability to translate business strategy into product roadmaps Analytical skills with experience using data to drive product decisions Experience working with technical teams to develop complex digital solutions Identify opportunities to use technology for developing new business models … transformation trends and technologies Proven experience with SaaS and multi-platform product development Background in mobile application development and web-based solutions Understanding of data privacy regulations in healthcare Experience with product analytics tools and methodologies Interested? Please submit your updated CV to Dean Sadler-Parkes at Crimson for More ❯

in-depth and build delightful product experiences to solve them and make our users successful. Deeply understand the users and downstream consumers of this data touching multiple business domains, by working with Stripe's users, and with Stripe's technical and business teams. Partner with engineering leaders to design … Strong technical skills e.g., ability to gain an in-depth understanding of software systems, make meaningful contributions to high-stakes discussions on API design, data modeling and software architecture. Strong customer empathy across different segments and personas: from internal customers in accounting, data science and engineering to More ❯