1,551 to 1,575 of 1,798 Data Science Jobs in London

leading independent media agency, and one of the fastest growing in the industry. We're a media agency that's made differently: purpose-led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is rewarded and there are no limits to what you can achieve, which … OUR VALUES Commit to Doing the Right Thing (Take ownership and be accountable) Help People Flourish (Invest in people) Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as … play a dual role: supporting and mentoring team members while continuing to develop your own skills alongside industry experts. Our proprietary Apollo platform automates data collection, allowing the modelling team to focus on insight generation and strategic recommendations rather than manual data processing. HOW YOU WILL MAKE AN More ❯

the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic research data scientist to join our research team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting … and you to mentor. What you bring to the table Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. Ability to scope and effectively deliver projects. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions … quickly. Excellent collaboration and communication skills - with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs; geometric deep learning or other More ❯

includes close collaboration with cross-functional teams to integrate machine learning models into scalable and secure production pipelines, enabling the delivery of real-time, data-driven solutions across various domains. Key Responsibilities • Model Deployment: Lead the deployment and scaling of LLMs and other deep learning models using inference engines … Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work closely with ML researchers, data scientists, and engineers to support experimentation workflows, streamline deployment, and translate research prototypes into production-ready solutions. • Automation & DevOps: Develop infrastructure-as-code (IaC … with model performance optimization techniques and distributed training frameworks (e.g., DeepSpeed, FSDP, Accelerate). • Educational Background: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Engineering, or a related technical field. Why Join AI71? • Advanced Technology Stack: Work with some of the most capable large More ❯

includes close collaboration with cross-functional teams to integrate machine learning models into scalable and secure production pipelines, enabling the delivery of real-time, data-driven solutions across various domains. Key Responsibilities • Model Deployment: Lead the deployment and scaling of LLMs and other deep learning models using inference engines … Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work closely with ML researchers, data scientists, and engineers to support experimentation workflows, streamline deployment, and translate research prototypes into production-ready solutions. • Automation & DevOps: Develop infrastructure-as-code (IaC … with model performance optimization techniques and distributed training frameworks (e.g., DeepSpeed, FSDP, Accelerate). • Educational Background: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Engineering, or a related technical field. Why Join AI71? • Advanced Technology Stack: Work with some of the most capable large More ❯

to-end UX research using mixed methods (quant + qual) Conduct usability testing for developer-facing tools (simulation and performance) Partner with PMs, engineers, data scientists, and designers to influence product decisions Create research roadmaps and translate findings into actionable recommendations Work with VR/XR teams focused on More ❯

product roadmap. Key Responsibilities Team Leadership & Collaboration Lead a high-performing team of frontend and backend engineers Collaborate with Product Managers, Designers, QAS, and Data Scientists Partner with the Product team to shape ideas into delivery plans and launch successful features Contribute hands-on to architectural decisions, coding, testing More ❯

delivering the fraud strategy across the bank’s product suite. Sitting in the first line of defence, you'll work closely with operational teams, data scientists, and product stakeholders to prevent and respond to fraud threats in real time—all while protecting the customer experience. Key Responsibilities of the More ❯

Job Description Data Scientist's wanted by global company within the short-term energy forecasting markets. You'll be working across the company's suite of short-term forecasting tools, which has been built by a combination of machine-learning, optimisation and fundamental models within the short-term trading … space. The team are relaxed about your background and happy to consider someone from either a Data Scientist or Data Analyst history. The team are at the forefront of the energy revolution, driving innovation to power a sustainable future. Delivering reliable, affordable, and clean energy solutions to customers … short-term forecasting markets, across either energy, power or financial markets. GitHub or Azure DevOps knowledge is desired SQL knowledge is desired The successful Data Scientist will earn up to £80,000 and in addition there are exceptional benefits which come as pa... More ❯

The AI Domains org within the Alexa Conversational Assistants Services (CAS) org is looking for an Applied Science Manager with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of Applied and Research Scientists to … with LLM empowerment. You will own high visibility programs with broad visibility and global impact. You will interact with a cross-functional team of Science, Product, and Engineering leaders. We are looking for an Applied Science Manager who will play a key role in the next generation of … AI powered Conversational Assistants. Key job responsibilities Lead and manage a team of Applied and Research/Data scientists responsible for building conversational assistants. Collaborate with cross-functional teams to build methods to align Amazon's LLMs with human preferences. Identify and prioritize research opportunities that have the potential More ❯

perfectly balanced. Take ownership from concept to launch—designing, building, deploying, and iterating on new system features that create real value. Work together with data scientists, engineers, and product stakeholders to deliver seamless, scalable solutions. Write robust, clean, and scalable Python code. Maintain high standards for testing, deployment, and … version control. Requirements: 5+ years of professional experience building software with Python. Strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar technical fields. Expertise in crafting scalable backend systems using Python and frameworks like Pandas for data analysis. Solid experience working with cloud services (GCP, AWS More ❯

perfectly balanced. Take ownership from concept to launch—designing, building, deploying, and iterating on new system features that create real value. Work together with data scientists, engineers, and product stakeholders to deliver seamless, scalable solutions. Write robust, clean, and scalable Python code. Maintain high standards for testing, deployment, and … version control. Requirements: 5+ years of professional experience building software with Python. Strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar technical fields. Expertise in crafting scalable backend systems using Python and frameworks like Pandas for data analysis. Solid experience working with cloud services (GCP, AWS More ❯

non-discrimination. ROLE Deploy is Akur8’s rating engine, the final step in our end-to-end vision, where all steps of pricing - from data analysis, to modeling, to ratemaking - are streamlined into one modern, powerful and efficient software. As a new product under active development, there are numerous … opportunities and challenges, providing a bridge between two key functions in insurance. Whilst on the actuarial side it focuses on extracting insights from data and making statistical decisions for the business; on the IT side it concentrates on maintaining and producing reliable systems. In insurance, the different skillsets and … industry , with interactions with either pricing actuarial teams or IT (pricing or policy admin systems) 3+ years experience in a quantitative position , such as Data Scientist, Engineering or Product Manager. A sound understanding of machine learning concepts, models, and algorithms Excellent quantitative & analytical skills Very strong problem solving skills More ❯

non-discrimination. ROLE Deploy is Akur8’s rating engine, the final step in our end-to-end vision, where all steps of pricing - from data analysis, to modeling, to ratemaking - are streamlined into one modern, powerful and efficient software. As a new product under active development, there are numerous … opportunities and challenges, providing a bridge between two key functions in insurance. Whilst on the actuarial side it focuses on extracting insights from data and making statistical decisions for the business; on the IT side it concentrates on maintaining and producing reliable systems. In insurance, the different skillsets and … industry , with interactions with either pricing actuarial teams or IT (pricing or policy admin systems) 3+ years experience in a quantitative position , such as Data Scientist, Engineering or Product Manager. A sound understanding of machine learning concepts, models, and algorithms Excellent quantitative & analytical skills Very strong problem solving skills More ❯

Job Band Job number 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent contract Location: London or Salford based Benefits An employer … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play … Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are You the Right Candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and innovation More ❯

We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. About the company Company Anecdote/Anecdote is an innovative … table. Requirements Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions. Speak AI language: Understand the fundamentals of ML …/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. More ❯

Propositions Research and Data Analyst page is loaded Propositions Research and Data Analyst Apply locations Edinburgh WRS - United Kingdom London - United Kingdom time type Full time posted on Posted 2 Days Ago job requisition id REQ-13881 Role Description FNZ Propositions Team is a dedicated & focused division within … the development of the FNZ's propositional strategy and ultimately, helps our customers achieve growth and success in the market. The Propositions Research and Data Analyst is a key role within this team and will provide detailed analysis and research expertise in the following areas: Identification of key market … sales materials. Key Responsibilities: Conduct in-depth market research and macroeconomic analysis to support proposition decisions and overall market strategy. Analyse FNZ client performance data and benchmark to the industry to identify trends, risks, and opportunities. Develop and maintain analytical models, dashboards, and data visualization tools to support More ❯

Job Description Data Scientist – HIRING ASAP Start Date: ASAP Duration: 11-month initial contract Location: Remote Rate: £415 - £500 per day PAYE Responsibilities Conduct deep, thorough analysis to uncover patterns, insights, and opportunities to support the continued growth of our App & Gaming business. Generate and test hypotheses and analyse … results of product experiments. Work directly with engineers, product managers, and other functions to translate insights into product direction. Provide business intelligence (BI) and data visualisation support to help leads understand the health of our business. Apply knowledge of statistics, machine learning, programming, data modelling, and simulation to More ❯

Data Scientist £400 per day | Outside IR35 | Remote-First (occasional Central London days) 6-month contract | Immediate Start We are looking for a mid-level Data Scientist to join a fast-moving project focused on predictive analytics . This is an opportunity to make a real impact - refining More ❯

third-party services on our pages. You can change or withdraw your consent at any time via our Cookie Declaration. Learn more about our data practices in our Privacy Policy. Please mention your consent ID and date when contacting us about your consent. Your consent applies to the domain … Preferences (2) lang LinkedIn: Language settings, Session, HTTP Cookie lidc LinkedIn: Load balancing info, 1 day, HTTP Cookie Statistics (2) vuid Vimeo: User visit data, 2 years, HTTP Cookie # YouTube: Interaction tracking, Session, HTML Local Storage Marketing (23) # YouTube: Embedded content interaction, Session, HTML Local Storage _ga … O9@$ YouTube: Video view stats, Session, HTML Local Storage LAST_RESULT_ENTRY_KEY YouTube: Content interaction, Session, HTTP Cookie LogsDatabaseV2:V# LogsRequestsStore YouTube: Interaction data, Persistent, IndexedDB optimizelyOptOut: Targeted ads, Session, HTTP Cookie remote_sid YouTube: YouTube content functionality, Session, HTTP Cookie ServiceWorkerLogsDatabase YouTube: YouTube content, Persistent, IndexedDB TESTCOOKIESENABLED More ❯

Lead Insight Analyst - Contract Sports & Entertainment Client London - Hybrid £500-£600 per day - outside IR35 We're working with a leading data-driven agency operating at the intersection of sport, media, and fan engagement. Known for partnering with major names in the industry - from top-tier football clubs to … for someone who thrives in varied, fast-paced environments. You'll be embedded across three flagship accounts, helping clients better understand and activate their data through robust insight, infrastructure, and stakeholder engagement. Key Projects: Global Football Organisation: Lead the digital engagement reporting strategy across international tournaments Ensure clean data … from pipelines to dashboards, mainly in Power BI Premier League Club: Guide the CRM system implementation. Collaborate with vendors to design and define how data should be structured and ingested Top-Tier Football Club: Deliver insights around personalised digital content, algorithm testing, and content recommendations, working primarily with BigQuery More ❯

proprietary technologies to build strategic platforms for onboarding clients through proactive management of the f2b onboarding process. This also involves projects requiring document and data digitization through various NLP techniques where the developer works in close partnership with the R&D team involving new machine learning methodologies, setting the … various workflows and processes. Team members have the opportunity daily to work with various global stakeholders (Compliance, Business, Client Implementation, Quality Assurance, Firmwide Ref Data Engineering) to onboard new clients with a focus on efficiency, control, and excellent client service that is mandated per se AML Enhanced Due Diligence … s position on the cutting edge. Or, join our core engineering teams and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration, and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a More ❯

s success, allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features, favouring a highly iterative More ❯

s success - allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features - we favour a highly More ❯

FinTech firms in Europe? We are looking for an analytical self-starter with experience in deploying AI ? ML models in the capacity of a Data Engineer. If you are passionate about digital transformation and keen to learn about delivering the market leading Client Lifecycle Managing solution to the Wealth … are scalable, reliable, and tightly integrated within our on premise and SaaS platform. This is a deployment-first role, for someone who excels at data and model pipeline engineering, thrives in a collaborative cross-functional team, and wants to grow while gaining exposure to innovative tooling in the LLM … reliability, and cost-efficiency. Design, build and maintain internal ML tools to streamline model development, training, deployment and monitoring Collaboration & Innovation Work closely with data scientists to productionise prototypes into scalable systems. Participate in architectural decisions for LLMOps and NLP-driven components of the platform. Stay engaged with the More ❯

heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity … security standards. We are a mission-driven team working with squads throughout Disney to collaborate on improved solutions. Responsibilities Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. Minimum of 7 years related work More ❯