Top Data Jobs in Edinburgh

The Data Operations Analyst is responsible for modeling data, resolving data issues, conducting ad hoc analysis, and liaising with stakeholders to support investment decisions and improve the Aladdin product. The role requires a strong understanding of financial markets and basic technical skills in SQL, UNIX, or Python.

The Data Steward Associate will ensure the accuracy and compliance of data products, manage data quality through governance controls, support data product lifecycle management, and collaborate with cross-functional teams. Responsibilities include gathering requirements, testing, vendor management, and offering Level 3 data support. This role requires strong communication skills and the ability to thrive in a fast-paced environment.

The CRM Data Scientist contributes to business intelligence by providing analytics on client behaviors, developing predictive models, transforming data into insights, and supporting decision-making through effective communication and presentations. Responsibilities include creating Salesforce datasets and managing analytics to identify opportunities and optimization strategies.

As a Data Architect, you will lead technical implementations, mentor teams, and help clients derive value from data by applying modern data solutions and advocating Agile methodologies. You'll engage with stakeholders and craft solutions that focus on delivering business intelligence and machine learning capabilities.

The Senior Manager - Data will lead data governance implementation projects, define system requirements, and establish key governance capabilities within data management systems. The role involves stakeholder engagement, team management, and fostering a culture of development and accountability within the team.

The Senior Data Analyst will develop data models for costs and emissions in the low-carbon hydrogen market, create data visualisations, enhance data quality, and collaborate with cross-functional teams. Responsibilities also include debugging code, conducting dataset quality profiling, and documenting methodologies and code.

As a Senior Data Scientist, you will research and develop Generative AI solutions, collaborating with cross-functional teams to create innovative data products. You will apply advanced AI techniques, ensure data quality, mentor others, and drive improvements through experimentation, all while delivering on strategic objectives.

This program offers a one-day immersive experience in Data & Analytics designed for women. Participants will gain insights from industry leaders, engage in discussions, and experience real-life applications of skills in the context of an internship program. It aims to empower attendees by prioritizing personal development and networking opportunities.

The Data Analyst will advance forecasting and modeling efforts by managing and optimizing large datasets across various energy assets. Responsibilities include delivering actionable insights, ensuring data quality, automating workflows, and collaborating closely with research and engineering teams. The role demands strong skills in SQL or Python and a focus on improving forecasting accuracy for global asset performance.

The Data Lead at Gitpod will own and scale the company's data platform, drive data-informed decision making, establish best practices, and partner cross-functionally to enhance data accessibility and quality. Responsibilities include auditing the current data stack, building core business metrics, and collaborating with stakeholders to identify data needs and priorities.

The role involves overseeing third party data vendors, ensuring data quality, managing relationships, and aligning data capabilities with business needs at BlackRock. Responsibilities include defining lifecycle management processes, analyzing data quality, and coordinating with internal and external stakeholders for optimal data solutions.

As a Data Scientist VP at BlackRock, you will lead the development of methodologies to solve complex business problems using data science, AI, and machine learning. You will manage projects, translate business needs into technical requirements, evaluate methodologies with large datasets, and collaborate with cross-functional teams to develop production-grade solutions.

As a Data Scientist, you will work with a team to develop methodologies addressing client and operational challenges using AI, ML, and optimization techniques. Responsibilities include collaborating with stakeholders, prototyping solutions, and presenting technical work to senior management while ensuring compliance with processes and producing technical documentation.

As a CRM Data Scientist, you will analyze client data and market opportunities to inform decision-making, develop predictive models, and create actionable insights by managing Salesforce datasets and analytics tools, while effectively communicating with stakeholders.

The Data & Analytics Analyst provides high quality analytical input to develop and implement innovative processes, analyzes complex data to uncover business opportunities, and ensures data quality. The role includes conducting options analysis, managing business requirements, performing data manipulation, and visualizing data to support business strategies.

The Data Science Capability Lead will drive the development of data science skills within the organization, leading workshops and hackathons, overseeing training initiatives, and fostering a collaborative data science community. The role involves mentoring, ensuring effective tools for data scientists, and promoting continuous professional development aligned with the FCA’s strategic priorities.

The Senior Redress & CMC Data Management Associate will manage stakeholder relationships, provide expertise on data governance, analyze complaints data, and support policy-making in financial regulation. The role involves improving data processes and facilitating communication between the FCA and compensation schemes to enhance consumer protection.