7 of 7 Data Scientist Jobs in Scotland

Role: Data Scientist Business Unit: Bioscript Data Insights Location: Glasgow, Scotland (Hybrid) About Us Established in 2005, Bioscript Group is formed from multiple, specialist businesses to support our global pharmaceutical clients; we draw on their multidisciplinary expertise to help navigate critical decisions at key points in the product lifecycle. Our scientific and strategic expertise help our clients … make better decisions. We provide medical communication services, market access consulting and regulatory writing support with deep domain expertise to effectively navigate complex disease areas. The Opportunity The Data Scientist supports the delivery of the Bioscript Data Insights team and supports the development and execution of data insights within the Bioscript Group. The Data Scientist plays a pivotal role in helping shape our data strategy, designing, and implementing advanced data analytics solutions. Key Responsibilities Leadership and Strategy: Providing mentorship, guidance, and fostering a collaborative and innovative environment. Excellent leadership, communication, and interpersonal skills. Provide supervision and mentorship to other data scientists, fostering a culture of growth and excellence. Collaborate with cross More ❯

This is a new position for a Junior 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 optimisation of … on 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 of distributions Weighting More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯

into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead … Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability More ❯

Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) | Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . … They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance … Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics More ❯

Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) | Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . … They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance … Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics More ❯