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Top Data Jobs in Edinburgh
As a Senior Data Analyst at Immersive Labs, you'll define metrics and data visualizations that showcase customer readiness against cyber threats, collaborate with product and data teams for data-informed decisions, and ensure platform reporting meets customer needs. You'll also support analyses for customer success and marketing, working with cross-functional teams to enhance product strategy.
As a Data Science Intern, you will apply software engineering and mathematical skills to improve cybersecurity technology, work with large-scale data, create predictive models, and experiment with new algorithms in a remote environment.
As a Data Science Intern at CrowdStrike, you will work on projects involving binary analysis, NLP, and time series processing. You'll gain hands-on experience in writing scalable code, collaborating with Senior Data Scientists, and utilizing cutting-edge technology to make an impact.
As a Staff Data Engineer at DailyPay, you'll design and maintain ETL/ELT infrastructure, optimize data pipelines, implement data testing capabilities, and help architect the data lakehouse. Your role focuses on building robust distributed data platforms and ensuring efficient data governance and security best practices.
The Data Engineer will architect and lead the transition from on-premises batch architecture to a cloud-based streaming data platform, focusing on data warehousing, ETL pipelines, and data governance. The role involves collaboration with cross-functional teams and fostering a culture of technical excellence.
As a Staff Data Scientist at Empower, you will develop risk models and credit policies to drive competitive underwriting practices. You will lead teams to analyze consumer behaviors and adapt solutions for the Latin American market, enhancing customer financial well-being. This role is pivotal for launching innovative financial products and requires tackling complex geographic challenges.
Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.
As a Data Engineer II, you will build and maintain ETL and data pipelines, produce and support data reports and dashboards, design data testing and optimization capabilities, and improve the performance of the data infrastructure. You'll collaborate on analytics engineering efforts and maintain monitoring and alerting systems.
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As a Staff Data Engineer at Trustpilot, you'll lead data governance and optimize data processes, design scalable architectures, mentor junior staff, and integrate data across the organization while focusing on enhancing data quality and reducing costs.
As a Data & AI Consultant, you will act as a strategic advisor, working with clients to identify and implement Data & AI solutions that drive business value. Responsibilities include leading client engagements, collaborating on use cases, advising on data governance, and educating executives on relevant technologies.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
As a Data & Analytics Engagement Lead, you'll develop data strategies and manage data integration across sales and ERP systems like SAP and Salesforce. Your role involves collaborating with business and data owners to define reporting requirements, design data models, and support self-service reporting initiatives. You'll play a crucial part in data-driven decision-making within the organization and engage in data architecture to ensure reporting needs are met.
The Senior HR Data and Reporting Analyst will oversee metric definitions, develop advanced reporting strategies, implement data analyses, and create comprehensive reports for executives. The role involves leveraging data visualization tools, addressing data management issues, and supporting predictive analyses within HR practices.
The Senior Data Science Consultant at Blend is responsible for solving complex problems using data analytics and machine learning. The role involves presenting findings to stakeholders, managing analyst teams, and mentoring junior staff. Candidates should have experience with various analytical tools, predictive modeling, and be comfortable working with messy data to uncover actionable insights.
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
The Data and Analytics Engagement Lead will oversee operational reporting for the Plan to Fulfil process, collaborating with various teams to harmonize and standardize reporting requirements. Responsibilities include understanding enterprise data models, ensuring data architecture suitability for reporting, and driving consistency in reporting practices across business functions.
The Senior Data Scientist will develop innovative data science solutions to address complex business problems, deliver end-to-end solutions using advanced ML algorithms on large datasets, and communicate effectively with diverse audiences. The role involves mentorship of junior staff and adherence to ethical practices.
As a Senior Data Engineer on the People Data Engineering Team at Walmart, you'll develop scalable big data solutions, ensuring data quality and governance while interacting with global engineering teams. Your expertise in big data technologies and SQL will help optimize data processes and contribute to the technical community.
The Senior Data Scientist will develop innovative data science solutions by collaborating with product managers and stakeholders, applying advanced machine learning algorithms, and delivering comprehensive solutions. Responsibilities include mentoring junior data scientists, communicating analyses, and utilizing a product mindset for deployment and scaling of data science products.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
The Data Scientist will develop tools and technologies to leverage data for increasing supply chain efficiencies, implement machine learning techniques, and contribute to team discussions. The role requires experimentation with new data science techniques and participation in various projects to drive successful outcomes.
As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.
As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.
As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
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