3 of 3 Data Science Consultant Jobs in Edinburgh

Job Role: Data & AI Science Consultant Location: Edinburgh Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and … with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities … around the world. Accenture Data and AI Science is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides More ❯

Category: Other - EU work permit required: Yes col-narrow-right Job Views: 11 Posted: 25.05.2025 Expiry Date: 09.07.2025 col-wide Job Description: Job Role : Data & AI Science Consultant Location: Edinburgh As a team: The Data and AI revolution is changing everything. It’s everywhere – transforming how … we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI Science is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements … and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. More ❯

Skills and Experience Work experience in data science, machine learning, and business analytics. Practical experience in coding languages such as Python, R, Scala , etc. (Python preferred). Proficiency in database technologies such as SQL, ETL, No-SQL, Data Warehousing, and Big Data technologies e.g. pySpark, Hive. More ❯