76 to 100 of 272 Big Data Jobs in London

Data Scientist - GCP | £500-£550 per day (Inside IR35) 2 Days Onsite - Isleworth, West London | 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You'll be joining a collaborative team of data scientists and engineers to build and … refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and … modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including More ❯

Data Scientist - GCP 500- 550 per day (Inside IR35) 2 Days Onsite - Isleworth, West London 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You'll be joining a collaborative team of data scientists and engineers to build and … refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and … modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including More ❯

The role: We are seeking a highly skilled Senior Data Scientist to join our team. Reporting to the Data Delivery Lead, you will analyze and interpret data from various sources to support our clients' decision-making processes. The Data team at Prevail underpins all our mission-focused teams. No two days are the same, and we … world problems. Our ideal candidate will have exceptional analytical skills, capable of navigating complex datasets to turn ambiguous requests into meaningful insights. Key responsibilities include: Analyzing and evaluating intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Utilizing advanced analytical techniques and tools to assess the reliability, accuracy, and relevance of intelligence information. Developing and … maintaining databases, data models, and analytical frameworks for efficient data analysis and retrieval. Collaborating with intelligence and security professionals to understand requirements and priorities. Preparing and delivering reports, briefings, and presentations to communicate findings effectively. Monitoring emerging threats, geopolitical developments, and supporting intelligence assessments and forecasting. Collaborating with cross-functional teams to advocate for high-quality data More ❯

and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in … Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting with integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs More ❯

is to enable smarter financial decisions so people can focus more on the positive aspects of life, rather than the stresses associated with managing money. Responsibilities As Head of Data , you will lead the development and implementation of the company’s data strategy. You’ll be responsible for ensuring stakeholders have access to accurate and timely data, working closely with a Data Product Owner to align data initiatives with business objectives. Define and communicate the organization’s data strategy, ensuring alignment with key functions such as risk, finance, product, and customer service. Promote data literacy across the organization by enabling self-service capabilities for non-technical teams. Lead the design and rollout … of a scalable data warehouse to support analytics and reporting. Translate business requirements into technical solutions in partnership with the Data Product Owner. Influence the evolution of the loan management system to reflect data strategy goals. Oversee updates to systems and processes, including the creation of robust datamarts for operational use. Manage the development and maintenance of More ❯

Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver … consulting engagements? Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? AWS Professional Services … Public Sector ANZ are hiring a highly technical senior cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus More ❯

Senior ML & AI Backend Developer You'll lead the design and deployment of scalable backend systems powering ML, big data, and LLM-driven applications. From MLOps pipelines and big data engineering to productionizing classical ML and LLMs, you'll be at the core of AI infrastructure. Key Requirements: Expert in Python, ML/AI frameworks (PyTorch … TensorFlow, Hugging Face) Proven MLOps, big data, and backend/API development experience Deep understanding of NLP and LLMs Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes Strong collaboration, problem-solving, and coding best practices Nice to have: LLM fine-tuning, streaming data, big data warehousing, open-source contributions. More ❯

At Databricks, our core values center on creating a proactive and customer-centric culture. We aim to develop a unified platform that makes data science and analytics accessible to all, inspiring our customers to make informed decisions that advance their businesses. Our user-friendly and intuitive platform facilitates turning insights into actions and fosters a culture of creativity, experimentation … and continuous improvement. As part of this mission, you will use your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve complex data challenges. You will collaborate with a customer-focused team that values innovation, using your skills to create customized solutions that help our customers achieve their goals and drive their businesses … forward. Join us in transforming how data is used to make a better world. Reporting to the Manager, Field Engineering. The impact you will have: Build successful relationships with clients in your assigned territory, providing technical and business value in collaboration with Account Executives. Become an expert in big data analytics to excite customers about Databricks. Develop More ❯

s EE business, for an 8-month fixed-term contract in replacement of a maternity leave. As Business Intelligence Engineer, you will be driving force powering the team's data, engineering and analytical needs. You will be involved in EU-wide strategic projects to drive growth and reduce cost-to-serve working with product managers, data engineers/… acumen, with experience working with technology and engineering teams Key job responsibilities: Engage stakeholders in constructive dialogues to convert problem statements into logic problems that can be solved with data and scripting. Be integral part of the design process for new initiatives and nascent workstreams. You will apply your business sense to help bring the vision to life. Design … develop, and implement scalable, automated processes for big data extraction, processing, and analysis. Support the development on new reports/dashboards to inform business reviews, business case modelling for new initiatives, tracking of inputs/outputs, and more emerging strategy efforts. Design, build and maintain end-to-end data pipelines to scale and automate our processes. Build More ❯

s EE business, for an 8-month fixed-term contract in replacement of a maternity leave. As Business Intelligence Engineer, you will be driving force powering the team's data, engineering and analytical needs. You will be involved in EU-wide strategic projects to drive growth and reduce cost-to-serve working with product managers, data engineers/… acumen, with experience working with technology and engineering teams Key job responsibilities: Engage stakeholders in constructive dialogues to convert problem statements into logic problems that can be solved with data and scripting. Be integral part of the design process for new initiatives and nascent workstreams. You will apply your business sense to help bring the vision to life. Design … develop, and implement scalable, automated processes for big data extraction, processing, and analysis. Support the development on new reports/dashboards to inform business reviews, business case modelling for new initiatives, tracking of inputs/outputs, and more emerging strategy efforts. Design, build and maintain end-to-end data pipelines to scale and automate our processes. Build More ❯

What is Human Native? At Human Native, we’re building an AI data marketplace that ensures creators and rights holders are fairly compensated for their work while providing AI developers with high-quality, responsibly licensed training data. We believe in building AI the right way - ensuring transparency, fairness, and accessibility. This is a hard problem, and we need brilliant … minds to help us solve it. The Opportunity As an ML Engineer, you’ll help us index, benchmark, and evaluate training datasets at scale. Your expertise with data, AI and ML training methodologies and evaluation techniques will advance the state of the art for developing AI. You will work across: Designing and developing benchmarks that allow our customers to … understand their value of data for training ML (quantifying dataset quality and biases). Deploy these benchmarks by implementing end-to-end data evaluation pipelines to be run on different datasets and ML models. Tools to visualise, analyze, and understand the attributes of datasets based on the evaluations. Develop ML models to transform, clean and understand data. Collaborating More ❯

activities - reformulating operating models, optimizing processes and installing automation. As a Senior Process Mining Consultant, you play a key role in shaping our clients' strategic goals by transforming raw data into actionable insights. You collaborate closely with the project team to deliver impactful, data-driven solutions that maximize value for clients. Leveraging cutting-edge process mining tools like … skills to engage with stakeholders at all levels. Passionate about understanding and interpreting business processes. Known for your analytical mindset, organizational skills, and ability to learn quickly. Excited about Big Data, Data Mining, Business Intelligence, and Process Mining, with a desire to continuously expand your expertise. Preferred Qualifications: Experience with setting up data pipelines (configuring source … connections, using flat files, SQL for data transformation, and defining data models). Motivated and forward-thinking, ready to contribute to the evolution of Process Mining technology. Eager to tackle challenges and embrace a steep learning curve to grow and expand your knowledge. Reasons to join: Permanent contract collaboration. You will be working fully remote in a stable More ❯

Responsibilities and Impact: You will enable S&P ratings business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. Complete SDLC: architecture, design, development and support of tech solutions Active participation in all scrum ceremonies, follow AGILE best practices … years of software engineering experience as individual contributor and as people leader Familiarity with well architected frameworks in modern era, and experience in migration monolithic applications on on-premises data centers to cloud Long standing hands-on experience in building web applications, APIs, etc. using java and/or .net technology stack Experience in wide range of technologies to … develop software products end-to-end involving UI, APIs, Databases, etc. Experience in building DevOps pipelines for applications and infrastructure Experience in data engineering, SQL/NOSQL databases, Big Data, and Analytics Lead SAFe by example Gathers and refines requirements by engaging with stakeholders, product manager, and QA manager DevOps/SRE improvements and ensures continuous progress More ❯

a unified, trusted and sustainable value chain that enables the most efficient production and logistics outcomes, while lowering the impact on the environment. We deliver actionable digital solutions and data insights that connect global supply chains, improving the safety, quality and sustainability of food and consumer goods, all in a way that's traceable and clear to the end … right price, creating more sustainable production and consumption outcomes. As part of our Food, Beverage and Consumer Goods team, you'll help our customers connect business processes and leverage data-driven technology for better visibility, agility and responsiveness. The purpose of this role is to complete technical tasks as required in the delivery of client implementations of Trade Promotion … using SQL Server stack 2012 or above, Knowledge of SQL Server Suite, V12. • Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server • Kimball methodologies for Data Warehousing • Strong experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, • An analytical mindset, excellent communication and interpersonal skills More ❯

a Plus: Start-up/scale-up experience in AI, computer vision, or enterprise software space PhD in Computer Science, Math, or related fields Experience with vision, AI, or big data applications Experience with Terraform and IaC Familiarity with BIM or construction scheduling tools (Autodesk, Primavera, etc.) Hybrid Role: with 2 days/week in our London Shoreditch More ❯

Account Manager, Consultant, Solutions Architect, Platform Engineer, Systems Engineer, Cloud Architect etc. - Understand operational parameters and troubleshooting for a combination of the following: Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development - Internal enterprise or external customer-facing experience with the ability to clearly articulate to small and large audiences - Ability to juggle tasks More ❯

skills Proficiency in programming languages such as Python, Java, or Scala, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn Experience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop, Kafka) Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical More ❯

Job Description Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for capacity planning, transportation and fulfillment network? If so, then this is the job for you. Our team is responsible for creating core analytics tech capabilities, platforms … development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers, data engineers, scientists, business intelligence engineers and product managers using … rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic More ❯

This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis … to solve problems to enhance existing and develop new analytics related products and services. My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem solving abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess … Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest a tremendous amount More ❯

We are looking for a Data Scientist to help the Applied AI team in the Bank, holding expertise in machine learning and AI capabilities, working on ML/AI model development, evaluation and deployment based on large-scale data processing. Long-term project London Hybrid - Max Three Days in the office Rate 550-600 Position Overview: Conducts strategic … data analysis, identifies insights and implications and makes strategic recommendations, develops data displays that clearly communicate complex analysis. Collaborate with stakeholders across cross-functional teams to understand data needs, translate them into impactful data-driven solutions and deliver these in partnership with the technology team. Develop and integrate functionality to ensure adherence with best-practices in … terms of data management and data governance. Mine and analyse data from various banking platforms to drive optimisation and improve data quality. Collaborate on design and implementation of workflow solutions that provide long-term scalability, reliability, and performance, and integration with reporting. Required Skills: Expertise and hands-on experience in advanced programming using: SAS/Python More ❯

We are looking for a Data Scientist to help the Applied AI team in the Bank, holding expertise in machine learning and AI capabilities, working on ML/AI model development, evaluation and deployment based on large-scale data processing. Long-term project London Hybrid - Max Three Days in the office Rate 550-600 Position Overview: Conducts strategic … data analysis, identifies insights and implications and makes strategic recommendations, develops data displays that clearly communicate complex analysis. Collaborate with stakeholders across cross-functional teams to understand data needs, translate them into impactful data-driven solutions and deliver these in partnership with the technology team. Develop and integrate functionality to ensure adherence with best-practices in … terms of data management and data governance. Mine and analyse data from various banking platforms to drive optimisation and improve data quality. Collaborate on design and implementation of workflow solutions that provide long-term scalability, reliability, and performance, and integration with reporting. Required Skills: Expertise and hands-on experience in advanced programming using: SAS/Python More ❯

Data Scientist Start: ASAP Duration: 6-12 months Location: onsite 3 days per week in Milton Keynes Pay: up to £425/day Inside IR35 We are seeking an experienced Data Scientist. You will be instrumental in developing and deploying data-driven solutions, with a particular focus on OCR use-cases and LLM applications within AWS environments. … Key Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions and actionable insights. - Stakeholder Engagement: Communicate effectively across technical and non-technical teams. - Data Engineering: Basic skills in SQL and big data tools (e.g., Athena). - Experimentation: A/B testing, statistical analysis, performance metrics. - Compliance: Knowledge of data privacy (GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure More ❯

Graduate Data Analyst Location: Shoreditch, London, UK Shoreditch is renowned for its tech startups, creative agencies, and vibrant cultural scene, making it an attractive location for young professionals and graduates eager to immerse themselves in London's dynamic tech environment. About Our Client: Our client is a rapidly growing technology startup based in Shoreditch, London. Specializing in leveraging big data and analytics to drive innovation across various industries, they are seeking a passionate and driven Graduate Data Analyst to join their team. This role offers an unparalleled opportunity to contribute to cutting-edge projects and to grow within the tech industry. Role Overview: The Graduate Data Analyst will be instrumental in analyzing diverse datasets to … uncover insights, trends, and patterns that inform strategic decisions. This role is designed for ambitious graduates aiming to kickstart their careers in data analytics within a fast-paced and innovative tech environment. Responsibilities: Collaborate with cross-functional teams to define data collection requirements and analytics needs. Utilize data analysis tools and techniques to analyze large datasets, identifying More ❯

Lead Data Scientist London Up to £95,000 + bonus + benefits Our Client We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and … their business; they aim to leave a positive impact on all stakeholders including employees, customers and partners, helping to build sustainable local communities on a global scale. The role Data Scientists are hands-on with building models that allow our client to hyper-personalise their customer experience. In addition this, at a leadership level, Data Scientists work as … internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning. What a Lead Data Scientist role will involve A hybrid role which is both hands-on with building models and involves consulting throughout the wider business, serving as the Data Science SME for the core customer-facing platform. Collaborating with Customer More ❯

A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both accuracy and yield. Responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality. … AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker … PyTorch/TensorFlow; clean, tested code. Cloud ML: hands-on with AWS SageMaker plus exposure to Azure ML; Docker, Git, CI/CD, Terraform. SQL mastery for heavy-duty data wrangling and feature engineering. Experimentation chops - offline metrics, online A/B test design, uplift analysis. Production mindset: containerise models, deploy via Airflow/ADF, monitor drift, automate retraining. More ❯