6 of 6 Permanent Data Munging Jobs in Edinburgh

Join to apply for the Principal Data Scientist role at Wood Mackenzie Join to apply for the Principal Data Scientist role at Wood Mackenzie Get AI-powered advice on this job and more exclusive features. Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by … Customer committed – we put customers at the heart of our decisions Future Focused – we accelerate change Curious – we turn knowledge into action Wood Mackenzie is an industry-leading data analytics company that provides analysis and insight on the world’s natural resources with a presence all around the globe. We’re working on a next generation data … visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're looking for a Senior Data Scientist to join our team. This role will be working within our AI group and focus on the research, development and delivery of Generative AI solutions within our products. More ❯

Data Engineer - (Python and Power BI) at N Consulting Ltd Job Summary : We are seeking a skilled Data Engineer with expertise in Python development and Power BI to join our growing data team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines, transforming raw data … and insights to drive business decisions. Design, develop, and optimize ETL/ELT pipelines using Python and SQL. Develop and maintain Power BI dashboards and reports to visualize data and track KPIs. Work with stakeholders to gather business requirements and translate them into technical solutions. Perform data wrangling, cleaning, and transformation to prepare datasets for analysis. … Integrate data from multiple sources (APIs, databases, cloud storage). Ensure data quality, integrity, and security across systems. Collaborate with data analysts, scientists, and engineering teams to support advanced analytics. Monitor and improve pipeline performance, scalability, and reliability. Advanced SQL skills (joins, CTEs, indexing, optimization) Experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL More ❯

in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation … Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Title: Lead Data Engineer with Azure Experience Location: Sunderland, UK About the Role: We are currently looking for a Lead Data Engineer to manage teams on client projects. Your Profile … Proven experience as a Lead Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake. More ❯

This is a new position for a Data Scientist with a global, data-driven company that leverages cutting-edge technology to serve as a true market differentiator. The focus of this role is to deliver data science solutions impacting areas such as the effectiveness of advertising and the optimisation of dynamic creatives. The individual … to: Lead high-impact projects throughout their lifecycle. Scope and stage projects with detailed milestones and delivery schedules. Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, and evaluate different modeling approaches. Engage in problem-solving and fault-finding, addressing data or approach issues as they arise. Investigate … data and recommend solutions aligned with client requirements. And should have experience of: Working as a Data Scientist in a high-value commercial environment. Requirements gathering and idea generation. Defining problems and success criteria. Data wrangling, exploratory data analysis, modeling, and interpreting results. Providing relevant insights. Applying advanced statistical and analytical techniques More ❯

This is a new position for a Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science solutions which impact in areas such as the effectiveness of advertising and the … the life cycle, high-impact projects Scope and stage projects to include detailed milestones and delivery schedules. Use SQL and/or Python (JupyterNotebooks) to preparedata, perform exploratory data analysis, evaluate different modeling approaches. Engage in problem-solving, fault-finding, addressing issuesin the data or approaches as they arise. Investigate the data and make … recommendations on solutions to client’s requirements. And should have experience of: Working in a Data Scientist role in a high value commercial environment. Requirements gathering and idea generation Defining problems (and criteria for success), Data wrangling, EDA, modeling and interpreting results Providing relevant insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties More ❯

One of Loriens leading Higher Education clients is looking for a highly experienced Data Engineer to join their team on an initial 6 month contract. Must be able to attend Edinburgh office 1-2 days per week. The role requires someone with considerable experience in building automated data processing with relational databases and real-time data feeds using python, and the creation of data visualisation dashboards and the supporting analytics. The role will require working with staff from within the team and from others across the organisation on a regular basis, and will need to understand requirements and document specifications and present your implementation and analytics to both technical and non-technical … staff. Required experience and skills: Data modelling and building SQL relational database schemes Significant Python programming experience in data processing/wrangling, and stats generation on large scale datasets Data visualisation, web-based dashboard creation Desirable technical knowledge and experience of: Building automated data processing pipelines integrating API based data More ❯