forensic data scientist jobs in Scotland

You should have been resident in the UK for a minimum of three years immediately prior to application for this role. Why work for Scottish Police Authority Forensic Services? Forensic Services are the largest public sector forensic organisation in Europe and among the largest forensic organisations in the UK.

You should have been resident in the UK for a minimum of three years immediately prior to application for this role.

Data Scientist: We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep...

GIS Data Scientist Location: Glasgow Employment Type: Contract, 2 months, strong chance of extension About the Role Morgan Hunt are working with a leading government organisation to recruit a GIS Data Scientist who can blend spatial analysis, advanced analytics, and problem-solving to turn geospatial data into actionable insights. You'll work with large, complex datasets, build predictive...

Job Description Data Scientist Edinburgh City Centre (2 days per week in office) £45,000 - £55,000 + excellent package AI Connect are proud to be partnered with a growing and influential energy trading organisation in Edinburgh, using advanced data science and machine learning to tackle real-world energy challenges. This is a brilliant opportunity to join a team at the forefront of AI-driven...

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

Innovid is the leading independent omnichannel ad tech platform, empowering marketers to create, deliver, measure, and optimize ad-supported experiences that people love. In 2025, Innovid and Flashtalking merged to create a transparent, scalable alternative to big-tech, walled-gardens, and point solutions across CTV, digital, linear, and social channels. As part of Mediaocean, Innovid is tied...

A technology firm in Edinburgh is looking for a Data Scientist intern to work on advanced AI training projects. Responsibilities include designing complex data science challenges, creating rigorous technical solutions, and auditing AI-generated code for accuracy. Ideal candidates will have a Masters or Ph D in a quantitative field and strong skills in supervised and unsupervised learning, deep...

You should have completed at least one substantial project (academic or otherwise) where you worked with data, derived insights or models, and presented your findings.

You will build and deliver advanced data analytics products using your expertise in statistical modelling and machine learning. Collaborating with key stakeholders, you'll analyze large datasets and implement data-driven solutions to support business objectives. Seeking candidates with proficiency in Python, SQL, and a background in data science, particularly in the Utilities industry.

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.

Data Scientist Edinburgh City Centre (2 days per week in office) £45,000 - £55,000 + excellent package AI Connect are proud to be partnered with a growing and influential energy trading organisation in Edinburgh, using advanced data science and machine learning to tackle real-world energy challenges. This is a brilliant opportunity to join a team at the forefront of AI-driven energy & battery...

Data Scientist Edinburgh City Centre (2 days per week in office) £45,000 - £55,000 + excellent package AI Connect are proud to be partnered with a growing and influential energy trading organisation in Edinburgh, using advanced data science and machine learning to tackle real-world energy challenges. This is a brilliant opportunity to join a team at the forefront of AI-driven energy & battery...

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.