751 to 775 of 4,205 Data Science Jobs in London

Business Intelligence Engineer , Amazon Last Mile Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the "magic" of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the … around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you'll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data … Responsibilities: Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer More ❯

Where Data Does More. Join the Snowflake team. Build the future of data. Join the Snowflake team. Our Data Analytics Organization is looking for a Senior Principle to join Snowflake's Go-To-Market (GTM) Analytics team for Marketing Intelligence. In this role, you will play a critical part in driving data-driven decision-making by providing … You will be part of a team charged with structuring and executing quantitative analyses, and managing reporting needed to enable our marketing org. If you are passionate about using data science and analytics to solve real world problems and looking for a role that values your creativity and insights, we have a unique opportunity for you. Key Responsibilities … Provide high-quality and actionable data insights to the Marketing team. Act as a bridge between technical and non-technical stakeholders to translate complex data into clear, impactful insights Collaborate with a team of high-performing analysts and data science professionals to identify business opportunities, and solutions to address them Conduct rigorous analysis focused on solving More ❯

are fully configurable to the mission critical needs of front line teams. The agents help with a range of activities from analysing large sets of financial and non-financial data to creating custom content. My client multiplies the productivity of teams which drives accelerated growth, whilst maintaining lower costs. My client is seeking a highly skilled and experienced AI … Agents for the financial services sector. Responsibilities: ● Design, develop, and deploy high-quality AI/ML capabilities. ● Research and evaluate new AI/ML algorithms and technologies. ● Collaborate with data scientists to prepare and engineer high-quality datasets for model training and evaluation. ● Develop and maintain robust and scalable machine learning pipelines. ● Conduct rigorous model validation and performance monitoring. … development of best practices for AI/ML development within the organization. Qualifications: ● 7+ years of professional experience in AI/ML engineering. ● Proven experience in working with financial data and developing AI/ML solutions for financial services applications. ● Expertise in Python and common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). ● Strong understanding of data More ❯

are fully configurable to the mission critical needs of front line teams. The agents help with a range of activities from analysing large sets of financial and non-financial data to creating custom content. My client multiplies the productivity of teams which drives accelerated growth, whilst maintaining lower costs. My client is seeking a highly skilled and experienced AI … Agents for the financial services sector. Responsibilities: ● Design, develop, and deploy high-quality AI/ML capabilities. ● Research and evaluate new AI/ML algorithms and technologies. ● Collaborate with data scientists to prepare and engineer high-quality datasets for model training and evaluation. ● Develop and maintain robust and scalable machine learning pipelines. ● Conduct rigorous model validation and performance monitoring. … development of best practices for AI/ML development within the organization. Qualifications: ● 7+ years of professional experience in AI/ML engineering. ● Proven experience in working with financial data and developing AI/ML solutions for financial services applications. ● Expertise in Python and common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). ● Strong understanding of data More ❯

achieve this by researching, developing, and providing innovative medicines and vaccines. Our dedication to scientific excellence and ethical practices guides everything we do. R&D at GSK is highly data-driven, and we’re applying AI/ML and data science to generate new insights, enable analytics, gain efficiencies and automation. This role is based in an … AI/ML team that is already working on projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification and data science, and has won awards and recognition for its work. The team’s future projects will be in diverse areas, such as regulatory, clinical, legal and HR. Versatility is key, with an ability to … quickly understand domain data and requirements and translate them into solutions. You will interact with architects, software and data engineers, modelers, data scientists, other AI/ML engineers, product owners as well as other team members in Clinical Solutions and R&D. You will actively participate in creating technical solutions, designs, implementations and participate in the relentless More ❯

and operational capacity for years to come. You’ll join at a particularly transformative time, as the business builds a next-generation forecasting platform — utilising the latest advancements in data science, cloud computing, machine learning, AI, Monte Carlo simulation, and big data analytics to create more accurate and insightful forecasts than ever before. Key Responsibilities: Lead delivery … of short, medium, and long-term passenger forecasts, leveraging deep sector knowledge, economic modelling, and cutting-edge data science techniques. Drive continuous improvement of forecasting methodologies, processes, and data inputs to ensure high levels of accuracy and commercial value. Partner with internal senior stakeholders, investors, commercial teams, airline partners, and external consultants to validate forecasts and support … mentor a team of analysts, fostering the development of best-in-class capability within the forecasting function. Collaborate cross-functionally and externally to bring in leading-edge thinking, new data sources, and innovative modelling techniques. Candidate Profile: Educated to degree level in a quantitative discipline (e.g. Mathematics, Economics, Engineering) with additional training in forecasting, econometrics, or statistics an advantage. More ❯

frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable, production-grade ML systems. This is a super exciting time to join the business who after a number of years of great … model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and … tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the More ❯

frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists and Product team to deliver scalable, production-grade ML systems. This is a super exciting time to join the business who after a number of years of great … model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by the Data Scientists Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and … tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the More ❯

Company Description Hitachi Solutions Europe is a global Digital, Data, and Technology consultancy, Microsoft Gold partner, and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy working across the private and public sectors, we focus on Dynamics 365 Business Applications, Power Platform, Azure, Application Modernisation, and Data & Analytics. Our skilled team drives improvements, creating … on AI best practices, ensuring scalable and efficient solutions. Lead teams and projects from requirements to implementation. Identify high-value AI scenarios (Machine Learning and Gen AI). Analyze data using tools like Microsoft Fabric, Azure Databricks, Azure Synapse, and Azure Machine Learning. Implement data pipelines and workflows with Azure ML Pipelines and Azure DevOps. Monitor ML solutions … using Azure ML and Application Insights. Deploy AI solutions following coding, security, and CI/CD best practices. Present findings and recommendations using Power BI, Azure Data Explorer, and Azure AI Services. Key Competencies Experience in data science, machine learning, or related fields. Proficiency in Python, SQL, or similar languages. Experience with Azure or similar cloud platforms More ❯

and operational capacity for years to come. You’ll join at a particularly transformative time, as the business builds a next-generation forecasting platform — utilising the latest advancements in data science, cloud computing, machine learning, AI, Monte Carlo simulation, and big data analytics to create more accurate and insightful forecasts than ever before. Key Responsibilities: Lead delivery … of short, medium, and long-term passenger forecasts, leveraging deep sector knowledge, economic modelling, and cutting-edge data science techniques. Drive continuous improvement of forecasting methodologies, processes, and data inputs to ensure high levels of accuracy and commercial value. Partner with internal senior stakeholders, investors, commercial teams, airline partners, and external consultants to validate forecasts and support … mentor a team of analysts, fostering the development of best-in-class capability within the forecasting function. Collaborate cross-functionally and externally to bring in leading-edge thinking, new data sources, and innovative modelling techniques. Candidate Profile: Educated to degree level in a quantitative discipline (e.g. Mathematics, Economics, Engineering) with additional training in forecasting, econometrics, or statistics an advantage. More ❯

in their Central London office. This role dose come with a hybrid working. We are seeking a Dashboard Developer to play a pivotal role in how we display complex data in an intuitive, easy to view and use dashboards. Key responsibilities will include translating user requirements into dynamic and user-friendly dashboard solutions. You'll work collaboratively with cross … functional teams to understand their needs and prepare visually appealing representations of data that facilitate actionable insights. Furthermore, you will play a pivotal role in envisioning how these upgraded dashboards can leverage the capabilities of the Data Lake, maximizing data accessibility and relevance. Experienced desired: • Experience of working with SQL, data and databases to explore data. … Proven experience in designing and developing interactive dashboards and reports using PowerBI, Tableau, QlikView or another similar platform. • Familiarity with data warehousing concepts and cloud platforms (e.g., Azure, AWS). • Proficient in SQL for data manipulation and extraction. • Experience of working with big data storage solutions, such as Data Warehouses and/or Data Lakes. More ❯

special focus on time series analysis. This pivotal role merges cloud infrastructure, DevOps practices, and advanced machine learning to automate and deploy sophisticated computational models tailored for time series data across diverse industries. You'll lead the development of innovative solutions, driving our technological evolution with a focus on forecasting, predictive analytics and dynamic data modeling Key Responsibilities … Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time series data Architect Time Series Machine Learning Pipelines: Create robust pipelines specifically designed for time series data workflows, ensuring scalability, efficiency, and seamless flow from data ingestion to model deployment Ensure Data Integrity for … Time Series:Conduct thorough audits and cleansing of time series data, develop strategies for managing seasonality, trends, and noise to power insightful predictive models Develop Scalable Time Series Algorithms: Craft algorithms and models that are accurate and adaptable for time series data, ensuring reliable predictions and insights from evolving datasets From Prototype to Production: Collaborate with the engineering More ❯

Python Developer - Global Data Management Tower About the team: The Data Management Tower is a uniquely positioned group within Ipsos. We leverage the latest data science approaches to develop analytic tools and perform analyses for both clients and internal teams, respond to advanced analytic requests, and consult on a broad range of statistical, data, and … research best practices. Working in a collaborative and supportive environment, we seek to expand what is possible in market research with data science. We’re looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and optimize our existing data pipeline and architecture. The ideal candidate will have experience using cloud-based platforms, like AWS and Google Cloud Services, to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets. The role also requires conscientious attention to detail, an ability to work well on a small team, and a self-starter approach to problem More ❯

datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements. Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs. Model Evaluation: Design and execute experiments to evaluate … using metrics relevant to the business. Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability. Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals. Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience … AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding More ❯

pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Based in London, our client is looking for an experienced data analyst to join their team as a Senior Analytics Consultant on a permanent and hybrid-working basis, with 2 days at home per week (Mon and Fri). This … job would suit someone with at least 3 years’ experience in data analytics using mainly SQL, with Python as well, with strong client facing skills and previous experience in driving commercial impact through the data on projects. This person will be responsible for delivering analytical and revenue management solutions within the hotel, holiday and travel sectors, with opportunities … having been seen within the hospitality sector, they are looking to expand the team due to the expansion of some key projects. The successful individual will have a strong data analytics background in a role where they are interpreting business data and interpreting how this affects the business and what can be ascertained from this. Excellent communication skills More ❯

advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are also market leaders in … our fastest-growing sector and we are beefing up our talent in the space. We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Responsibilities: Work on the latest applications of data science to solve business problems in the CPG space. Work directly with … management, communicating results to business teams, and developing plans to help operationalize the analytics solution. Requirements 9-14 years of professional work experience with at least 7 years in data analytics. Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches. Deep knowledge and understanding More ❯

for the delivery and implementation of the content analytics services roadmap, including having responsibility for creating a structured development environment for scheduling, tracking, and managing delivery of software and data engineering deliverables as well as data science projects. The role focuses on the definition and optimisation of the operating model for the content analytics service, continually driving … on time, to budget, and to specification. Your role will primarily be to supervise the delivery of the overall roadmap and in doing so supporting the product management, software & data engineering, data science and project management teams to ensure that initiatives and projects are delivered on time and to specification. This will involve technical expertise with experience … and analytical projects, including scoping of new briefs, estimation of work, capturing technical business requirements and the production of technical specifications. To support your role you will manage engineers, data scientists and technical project managers, including assessing their workload and resourcing - onboarding additional team members when the budget & scope allows. It is important to note that the focus of More ❯

Senior Business Intel Engineer, AGL CN BI/BA Team We are hiring a BIE to innovate the data practice for company strategic supply chain product, based in Shanghai. This is an critical position to partner with important stakeholders in Amazon organization, working across multiple disciplines including product design, frontend sales, operations and finance to understand foundational insights needs … develop metrics and dashboards to communicate these insights to the Ops/Sales/Product teams. The complexity of research and skills for this role is well beyond basic data entry and research. It involves complex analysis and diving deep into key metrics based on requests, building and maintaining multiple databases, knowledge of software applications to create tools, and … programming languages. The following provides some detail of the job duties and responsibilities. Use analytical and statistical rigor to solve complex problems and drive business decisions. Manipulate/mine data from database tables (ex. Redshift, MySQL) using SQL. Manipulate/mine data from log files by writing scripts (ex. PERL, Python, UNIX) Develop analytical tools: deep-dive tools More ❯

The CCR Engineering group is responsible for enhancing the way the firm measures, manages, and supervises counterparty credit risk by improving first line-of-defense counterparty data repositories and analytical tooling to ensure comprehensive and timely risk identification, measurement, monitoring and controls. We develop stress testing methodologies to systematically capture tail, concentration and liquidation risks across Global Banking & Markets … from across the firm that are enriched with enterprise reference data. We aim to provide a unified platform facilitating prime and counterparty risk management, with self-service access to data sets to enable adhoc queries, filters, aggregations and management reporting capabilities to streamline stressed client management and increase the efficiency of a risk management response in times of market … solutions to keep our firm'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 collaborative, agile environment where your More ❯

datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements. Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs. Model Evaluation: Design and execute experiments to evaluate … using metrics relevant to the business. Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability. Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals. Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience … AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding More ❯

thinking Building a deep understanding of business domain and user needs and making sure that the actual business value is unlocked as early as possible Thinking holistically and treating data as a business service About You You should apply if you have: Proven Machine Learning Expertise : Hands-on experience in developing and deploying Machine Learning models in production environments. … Solid grasp of common Machine Learning algorithms and their application Software Engineering Skills: Proficiency in Python, with a focus on writing testable, modular code. Strong understanding of data structures, data modeling, and software architecture Data Science Library Knowledge: Deep understanding of key Data Science and Machine Learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow More ❯

initiatives, ensuring the integration of ML solutions into existing workflows by collaborating with product squads and business stakeholders Develop robust, production-quality software artifacts using Python and large-scale data workflow orchestration platforms (e.g., Airflow), while managing team resources & timelines Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring … adherence to guidelines, monitoring SLAs, and enhancing AI solutions’ performance and reliability Translate complex data science and ML concepts for technical and non-technical audiences, fostering alignment across distributed teams Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions. You May be a Good Fit if: 6+ years of professional experience … control, and code optimization. Excellent communication and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out: A track record of successfully More ❯

sessions. Whenever the opportunity arises, you will gather customer feedback to inform and lead the creation of new IP to guide FICO’s product and business development roadmap." - Analytic Science, Hiring Manager What You'll Do You will elevate how we engage with internal and external business on topics related to AI/Gen AI. You will be accountable … and social medial messaging. You will create proof of concepts, product demonstrations, respond to RFIs/RFPs, and prepare sales package proposals. What We're Seeking MSc degree incomputer science, engineering, physics, statistics, mathematics, operations research or natural science fieldswith hands-on related experience in data science, including AI/Gen AI and machine learning. Experienceanalyzinglarge … data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets. Proven and demonstrable experience with at least three of the following machine learning algorithms: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization. Experience working More ❯

datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements. Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs. Model Evaluation: Design and execute experiments to evaluate … using metrics relevant to the business. Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability. Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals. Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience … AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding More ❯

role will report to the Analytics Manager. You will be part of a team that develops end-to-end reporting solutions for internal stakeholders. The team consists of experienced data engineers and reporting developers. The team is one of four teams within the data and analytics function, so there will occasionally be overlapping and cross-functional work. About … Role: We are seeking an enthusiastic data scientist to assist our analytics team in transitioning to leveraging data science and machine learning. Ideally, candidates should have experience in deploying machine models and providing insights into the governance of these models. You must be a self-starter capable of managing your projects while meeting both requirements and deadlines. … Additionally, you will engage in data engineering tasks, with initial support from the team, but it will be expected that you can handle these responsibilities independently after some time. Our team supports strategic reporting for finance, marketing, go-to-market, and strategy. You will have exposure to various datasets and teams. Responsibilities: Understanding our end-to-end development. Deploying More ❯