101 to 125 of 369 Permanent Big Data Jobs

Job Summary: We are seeking an experienced Reltio MDM Consultant to support our Master Data Management initiatives by leveraging the Reltio platform. The ideal candidate will be responsible for designing, configuring, and implementing MDM solutions using Reltio, ensuring high data quality, governance, and integration across the enterprise. Key Responsibilities: Design and implement Reltio MDM solutions for customer, product … or other domain-specific data. Collaborate with business stakeholders and technical teams to gather requirements and define MDM strategies. Configure Reltio data models, workflows, match/merge rules, survivorship logic, and data quality rules. Integrate Reltio with external systems using APIs, connectors, and data pipelines (ETL/ELT tools). Monitor and optimize performance of MDM processes … and data pipelines. Provide guidance on Reltio best practices and data governance policies. Perform data analysis, profiling, and cleansing activities as needed. Troubleshoot issues and support testing and validation of MDM solutions. Participate in Agile development lifecycle including sprint planning, reviews, and retrospectives. Required Qualifications: 3+ years of experience with Reltio MDM platform implementation and support. Strong More ❯

Reports to: Team Leader, Analytics, Claims and Underwriting Solutions (International) Location: London/Hybrid Business Description Verisk Analytics is a multinational data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the … residential and commercial property perils, motor insurance, SME business covers, travel, pet and health insurance. To feed our risk models we source many diverse datasets covering high resolution weather data, property attributes, business activities and financial data, insurance claims and policies, medical information, aerial imagery and geodemographic data. In claims solutions we support end-to-end claims handling … real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support the development of various data science models to support the development of our risk management products. The International Analytics Team is a dynamic and exciting More ❯

Platforms (CRM) Physical & Digital Channels (Including Mobile) ERP (SAP) &Manufacturing Platforms Banking & Insurance Platforms People, HR, Collaboration Platforms Applied Intelligence, Machine Learning, RPA, Chatbots, Blockchain, IOT DevOps & Bimodal IT Data Analytics, Big Data, Data Platforms Cyber Security Strong business acumen; can frame complex problems in appropriate business contexts A University degree with above average academic performance More ❯

Data Engineer - Generative AI & Secure Data Platforms Hybrid Working | UK-Based | SC Clearance Up to £60k + Paid Overtime + Bonus + Benefits Engineer the Future of Secure AI Innovation Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience? This is a hands-on opportunity … to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data securely and intelligently. What You'll Be Doing Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments Collaborate with internal … teams to optimise and secure sensitive data-sets Ensure compliance with strict data governance and quality standards Contribute to the technology roadmap with insights into emerging tools and platforms Work across SQL, NoSQL, Python, ETL, and big data ecosystems Support projects involving Generative AI, NLP, and OCR What You'll Bring Proven experience in on-prem More ❯

Platforms (CRM) Physical & Digital Channels (Including Mobile) ERP (SAP) &Manufacturing Platforms Banking & Insurance Platforms People, HR, Collaboration Platforms Applied Intelligence, Machine Learning, RPA, Chatbots, Blockchain, IOT DevOps & Bimodal IT Data Analytics, Big Data, Data Platforms Cyber Security Strong business acumen; can frame complex problems in appropriate business contexts A Master University degree with above average academic More ❯

to software in a service-based architecture. The Contractor shall ensure all application security vulnerabilities are addressed as appropriate by severity to maintain security accreditation. The Contractor shall support data engineering efforts to analyze large data sets to derive data relationships. The Contractor shall maintain, upgrade, and troubleshoot various codebases deployed in a multi-cloud environment. The … networks. Demonstrated experience installing, configuring, testing, and maintaining operating systems, application software, and system management tools. Demonstrated experience monitoring system performance and troubleshooting. Desired Skills: Demonstrated experience working with big data processing and NoSQL databases such as MongoDB, ElasticSearch, MapReduce, and HBase.1. Demonstrated experience working with big data processing and NoSQL databases such as MongoDB, ElasticSearch … including PostgreSQLand MySQL. Demonstrated experience developing PL/SQL database scripts, including procedures, functions, exception handlers, and triggers. Demonstrated experience writing and tuning complex queries against structured and unstructured data sets. Demonstrated experience developing, documenting, and maintaining secure and scalable REST APIs. Demonstrated experience integrating services using messaging technologies, including service buses, publish and subscribe, and MQ. Demonstrated experience More ❯

so if you know java, please reach out! Desired Skills: Java, JavaScript, Angular, jQuery, Spring, Hibernate, TypeScript, CSS, and Oracle. About Us: We are a small business focused on big growth! We provide the US Government with skilled professionals that know how to deliver solutions • IT PMs • Scrum Masters • Full Stack Developers • Big Data Engineers .like reallllly … big data . • Salesforce Developers • Data Scientists (Tableau) • AI/ML (think Recurrent Neural Networks) • And everything in between Because we focus on delivery, we are able to offer the best benefits in the industry. • 15% 401k Contributions - 100% vested on day 1 • 100% Medical/Dental/Vision coverage and fully funded HSA • $5,000 Annual More ❯

more than happy to help guide you along your career path and see if we have a fit within CoreTech. About Us: We are a small business focused on big growth! We provide the US Government with skilled professionals that know how to deliver solutions • IT PMs • Scrum Masters • Full Stack Developers • Big Data Engineers .like reallllly … big data . • Salesforce Developers • Data Scientists (Tableau) • AI/ML (think Recurrent Neural Networks) • And everything in between Because we focus on delivery, we are able to offer the best benefits in the industry. • 15% 401k Contributions - 100% vested on day 1 • 100% Medical/Dental/Vision coverage and fully funded HSA • $5,000 Annual More ❯

Data Engineer £45,000 - 55,000 GBP + Package Hybrid WORKING Location: Stevenage, Central London, Greater London - United Kingdom Type: Permanent Data Engineer - Generative AI Focus Location: Stevenage or Bolton (Stevenage preferred) Salary: £45,000 to £55,000 depending on experience Working Pattern: Hybrid, 2 to 3 days on-site per week Overview: A new opportunity has opened … for a Data Engineer to join a newly formed Generative AI delivery office. This role involves evaluating, designing, deploying, and supporting internal data sets, ensuring they are secure, resilient, and optimised for internal customer needs. Key Responsibilities: Build and maintain robust data pipelines and data sets Collaborate with internal stakeholders to optimise data usage and … security Ensure compliance with data governance and quality standards Contribute to the technology roadmap and deliver innovative solutions Stay current with emerging technologies in AI and data engineering Technical Skills Required: SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big More ❯

and Media Ref # Description & Requirements Smarter, Faster, and as always - First. That's our philosophy. Bloomberg Media empowers global business leaders with breaking news, expert opinion, and proprietary data distributed on every platform, across every time zone. Like our products and solutions, our teams are agile, dynamic, and innovative. We work hard, and we work fast - while keeping … communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. Bloomberg runs on data, and data drives the market. Our Consumer Media Insights team is an integral part of driving our business through data-backed decision making for Bloomberg Media. Individuals … learning and predictive analytics, helping us stay competitive by leveraging the latest analytical techniques. Think of this role as part strategist, part executioner, part business insights partner, and part data architect. WE'LL TRUST YOU TO: Perform advanced analysis on subscriber acquisition, retention, and engagement, as well as content and competitor performance. Collaborate with the Data Engineering team More ❯

Data Scientist (SME) Northern, VA area Full-Time On-site Position Contingent Upon Award Join Synertex LLC and bring your expertise to a mission that matters. We're looking for a Data Scientist (SME) with a background in statistical modeling, artificial intelligence, and complex data analysis to support critical government and intelligence initiatives. If you're passionate … about turning data into actionable insights using advanced algorithms and machine learning techniques-and thrive in a fast-paced, results-driven, and data-rich environment-this opportunity is for you. RESPONSIBILITIES Apply statistical, mathematical, and AI models to large and complex datasets Design and implement machine learning algorithms to identify patterns and predict outcomes Develop data pipelines … analytical models, and visualization tools to support decision-making Collaborate with mission teams to translate requirements into data science solutions Perform exploratory data analysis, feature engineering, and model validation Communicate findings through clear visualizations, reports, and technical briefings Support integration of advanced analytics into enterprise systems and workflows REQUIREMENTS TS/SCI clearance required, including additional security screenings More ❯

This is a high priority role to fill! As a key member of our Systems Engineering team, you will: Capture the As-Is: Document current FM architecture, requirements, and data/information flows. Design the To-Be: Provide engineering thought leadership to define and build the future-state FM architecture. Drive Integration: Help integrate FM into NGA's Digital … Engineering (DE) Environment as an Authoritative Source of Truth (ASoT) data provider, consumer, and analytic enabler. Modernize Processes: Lead business process re-engineering activities, modeling end-to-end workflows and identifying improvement opportunities. Duties may include: Partnering with enterprise engineering teams (Architecture, Requirements, Configuration Management, and more) to introduce systems engineering rigor, tools, and governance to FM. Capturing and … baselining FM requirements (e.g., data, dashboards, reports) and architecture (systems, interfaces). Leading enterprise coordination for Requests for Change (RFCs) to formalize FM baselines. Supporting the design and documentation of the To-Be FM architecture and roadmap, including authoring Solution Epics and developing modernization schedules. Creating FM use cases and mission threads to drive future-state architecture. Supporting FM More ❯

We are looking for an experienced data scientist to provide daily insights. The ideal candidate will possess strong mathematical and statistical skills, along with natural curiosity and creative thinking. This individual will be responsible for mining, interpreting, and cleaning our data, while also asking the right questions, connecting the dots, and uncovering hidden opportunities to fully leverage the … data's potential. Responsibilities: Work closely with product design and engineering teams to understand their needs. Research and create innovative statistical models for data analysis. Present findings to all stakeholders. Drive smarter business processes by leveraging analytics to generate meaningful insights. Stay up to date with technical advancements and industry trends. Identify and integrate new datasets that can … enhance our product capabilities, collaborating closely with the engineering team in developing data products. Conduct analytical experiments to address challenges across various domains and industries. Identify relevant data sources to support client business needs, gathering large structured and unstructured datasets and variables. Develop and apply algorithms and models to mine big data stores, performing data More ❯

and cost savings. At Swingtech, we're committed to excellence and long-term success for our clients and our team. Swingtech Consulting, Inc. is currently looking to fill a Data Scientist role. Responsibilities & other details are listed below: RESPONSIBILITIES: Analyze large, complex datasets to identify trends, patterns, and insights. Work closely with cross-functional teams to understand business requirements … and translate them into data-driven solutions. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Visualize data and present findings to stakeholders through reports, dashboards, and presentations. Stay up-to-date with the latest trends and technologies in data science and machine learning. Develop predictive models and algorithms to support decision … making. Document methodologies, models, and processes for future reference and continuous improvement. ELIGIBILITY & QUALIFICATIONS: Master's degree in data science, Statistics, Computer Science, or a related field. 5+ years of experience analyzing large data sets from multiple sources. Strong experience with SQL & database management. Experience with cloud platforms such as AWS (preferred), Azure, or Google Cloud. Experience with More ❯

and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch … NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. • Scientific thinking with the … the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code • Published research in areas of Machine More ❯

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions … machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics … application of machine learning models across different areas of the businessRequired qualifications, capabilities, and skillsPhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding More ❯

Data Engineer - Generative AI & Secure Data Platforms Hybrid Working UK-Based SC Clearance Up to 60k + Paid Overtime + Bonus + Benefits Engineer the Future of Secure AI Innovation Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience? This is a hands-on opportunity … to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data-securely and intelligently. What You'll Be Doing Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments Collaborate with internal … teams to optimise and secure sensitive datasets Ensure compliance with strict data governance and quality standards Contribute to the technology roadmap with insights into emerging tools and platforms Work across SQL, NoSQL, Python, ETL, and big data ecosystems Support projects involving Generative AI, NLP, and OCR What You'll Bring Proven experience in on-prem to cloud More ❯

Data Engineer - Generative AI & Secure Data Platforms Hybrid Working | UK-Based | SC Clearance Up to £60k + Paid Overtime + Bonus + Benefits Engineer the Future of Secure AI Innovation Are you ready to use your data engineering skills to build secure, intelligent platforms that power generative AI and national resilience? This is a hands-on opportunity … to join a high-impact, high-trust organisation working on next-gen data platforms. You'll be part of a collaborative international team, helping internal customers unlock the full potential of their data-securely and intelligently. What You'll Be Doing Design, deploy, and maintain resilient data pipelines across on-prem and cloud environments Collaborate with internal … teams to optimise and secure sensitive datasets Ensure compliance with strict data governance and quality standards Contribute to the technology roadmap with insights into emerging tools and platforms Work across SQL, NoSQL, Python, ETL, and big data ecosystems Support projects involving Generative AI, NLP, and OCR What You'll Bring Proven experience in on-prem to cloud More ❯

part of the full process from design, to code, to test, to deployment and back again for further iteration. Our team is building the Machine Learning Platform for all data scientists across Tripadvisor. Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business … a variety of 3rd party packages, including MLFlow, Seldon for ML model tracking and deployment, Kubernetes for hosting models, Argo and Git for CI/CD automation, Spark for big data processing. This is a rapidly changing field and we are deeply involved in open source community to help shape the technology evolution and are constantly looking for … for doing so. Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance. Touch code at every level - from the UI, backend microservices, database, big data processing, operations, to CD/CI automation. Collaborate closely with data science teams to define feature specifications and develop high quality deliverables for our customers. Take More ❯

Europe with operations, laboratories, and manufacturing facilities worldwide, they are driven by a patient-focused and science-led approach. This role will offer you: A leading position in driving data engineering initiatives across multiple Research & Development areas, including Clinical, Pre-Clinical, Non-Clinical, Omics, Real World Data, and more. The opportunity to design and optimise advanced data … functional collaboration with international teams of scientists, researchers, and stakeholders. A high-impact role supporting innovation in both neuroscience and oncology. Responsibilities: Lead the design, development, and maintenance of data pipelines for diverse R&D data sources. Create and optimise ETL/ELT processes for structured and unstructured data using Python, R, SQL, and AWS services. Build … and maintain repositories and data warehousing solutions. Develop and maintain data quality frameworks, validation processes, and KPIs. Implement data versioning, lineage tracking, and regulatory compliance measures. Document data processes, architectures, and workflows in line with best DevOps practices. Collaborate with R&D researchers, data scientists, and stakeholders to deliver tailored solutions. Ensure compliance with global More ❯

Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security … based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion … Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams More ❯

Related Services Company, Inc. seeks Managers, Performance & Insights to identify, optimize, and implement channel integration initiatives in order to drive sustainable profitable growth in a compliant manner. Analyze customer data to develop data-driven business strategies. Diagnose business needs and establish analytical hypotheses and solutions leveraging Big Data and business intelligence tools and platforms. Refine business … permit strategic decision-making by senior leadership. Coordinate with cross-functional partners to ensure alignment and collaboration on strategic priorities. Position requires a Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field, and 2 years of experience with analyzing customer data to identify trends and … develop business strategies. Experience must include 2 years of experience with each of the following: analyzing complex financial datasets and performing data mining to identify commercial trends; developing data-based strategic initiatives to enhance business performance; presenting data-driven analyses to technical and non-technical teams; creating and maintaining business intelligence systems, including MS Excel spreadsheets and More ❯

AEITS, Inc. is seeking a highly skilled and experienced Zero Trust (ZT) Data Analytic Subject Matter Expert (SME) to lead the development, implementation, and advisory support of Zero Trust Architecture (ZTA) and advanced analytics initiatives across large, complex organizations. In this position, you will support our customer in the Alexandria, Virginia area. The ideal candidate will bring deep cybersecurity … to support digital transformation efforts. Mission: As a Subject Matter Expert supporting this government program, you will lead the advancement and implementation of cutting-edge Zero Trust Architecture and data-driven cybersecurity solutions that protect national security interests. By leveraging deep technical expertise, strategic vision, and emerging technologies such as AI, big data analytics, and cloud platforms … the Zero Trust Data Analytic SME will drive innovation, enhance cyber resilience, and support senior leaders in executing secure, scalable, and mission-critical transformations aligned with DoD and federal cybersecurity standards. Location: Mark Center, Alexandria, Virginia Clearance: TS/SCI Certifications: Preferred Certifications (One or more required): CompTIA Security+ CISSP CISM CCSP CEH CCSK Requirements: U.S. Citizenship TS/ More ❯

Data Engineer – Leeds – Hybrid - Azure An innovative fintech scale-up revolutionising how financial institutions leverage their data assets. Based in Leeds, they're building next-generation solutions that help banks, investment firms, and financial services companies unlock the true potential of their data to drive smarter investment decisions and enhance customer experiences. The Role They need a … talented Data Engineer to join their rapidly expanding engineering team in Leeds. You'll be architecting robust data systems that power critical financial analytics, working with modern cloud technologies whilst tackling real-world challenges in the fast-paced fintech sector. This is an excellent opportunity for someone ready to make their mark in financial technology within a dynamic … career progression opportunities Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing More ❯

of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance … supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc. What we look for: Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning) Experience leading technical customer-facing teams (team sizes greater than 8), preferably in … a pre-sales organisation leading technical engagements Trusted advisor to technical executives that guide strategic data infrastructure decisions Self-starter, challenger, strategic planner & analytical thinker Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles. Experience working More ❯