Top Data Jobs in Edinburgh

As a Data Analyst at Trustpilot, you will provide data-driven insights to the Commercial/Marketing and Trust teams. Your tasks will include analyzing customer journeys, supporting marketing strategies, and identifying fraudulent behaviors using statistical methodologies and BI tools. You will collaborate with cross-functional teams and promote data-informed choices across the business.

The Senior Data Scientist will develop AI/ML models and deliver data-driven product features for the B2B Applied AI team. Responsibilities include project delivery, model deployment, stakeholder engagement, and identifying product opportunities based on data analysis. The role requires collaboration with cross-functional teams and offers opportunities for product impact in a diverse and innovative environment.

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.

As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.

The Principal Data Architect will lead the development of data and AI solutions, providing assurance and support to agile teams, managing architects and engineers, and delivering customer-focused strategies while advising on new technologies.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

As a Senior Principal Data Engineer, you will design and deliver data services and pipelines while collaborating with cross-functional teams. You'll provide leadership to junior engineers and ensure compliance with data governance best practices, all while utilizing tools like Python, Spark, and Azure.

The Specialist Data Project Lead coordinates and enhances data activities to improve Capita Experience's Data Maturity framework scores, following the DAMA framework. Responsibilities include managing a portfolio of projects, ensuring compliance, and leading data governance initiatives.

As a Senior Data Analyst, you will design and implement BI solutions, collaborate with cross-functional teams, gather requirements, and develop reports and dashboards to support data-driven decision-making.

The Senior Data Analyst will deliver data-driven insights to support business decisions by working with stakeholders, applying analytical techniques, and presenting findings effectively. The role requires ownership of complex projects and a focus on innovation and best practices in a collaborative environment.

As a Senior Data Scientist with an MLOps focus, you'll lead complex project developments, provide consulting, implement data science solutions, advocate for DevOps principles, and ensure alignment of technical solutions with business needs while mentoring the team.

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

As a Data Engineer, you will design, develop, and maintain data pipelines and infrastructure on AWS, ensuring data quality and reliability. Responsibilities include collaborating with business analysts, troubleshooting production issues, and suggesting improvements for the data platform.

The Data Analyst (Analytics Engineer) at EFG will own their domain by understanding customer needs and providing data solutions. They will serve as an Analytics Data Expert, creating data products and ensuring high standards in documentation, data quality, and stakeholder communication. The role involves teaching and guiding team members while exemplifying company values and building relationships.

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 Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.

The Data Science Manager in the Defence sector will lead large-scale AI and ML projects, providing expertise to data science teams while communicating with stakeholders. Responsibilities include overseeing data delivery, model development, mentoring team members, and ensuring adherence to architectural principles and standards.