trainee data scientist jobs in Scotland

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 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.

Data Scientist - £70k | Remote / Hybrid | FinTech / Payments Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. We're working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost,...

Overview At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact As an experienced Data Scientist you will be an...

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.

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...

You will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.

Data Scientist (Masters) - AI Data TrainerAlignerr Edinburgh, Scotland, United KingdomBase pay range$40.00/hr – $80.00/hrAbout The JobAt Alignerr, we partner with leading AI research teams and labs to build and train cutting‑edge AI models. You’ll challenge advanced language models on topics such as machine learning theory, statistical inference, neural network architectures, and data engineering...

Mid-level Data Scientist – Applied AI teamJoin to apply for the Mid-level Data Scientist – Applied AI team role at TrustpilotAt Trustpilot, we’re on an incredible journey. We’re a profitable, high‑growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world’s largest independent consumer review platform, and while we’ve come a long way, there’s still so...

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.

Data Scientist - £70k | Remote / Hybrid | FinTech / Payments Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. We're working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost,...

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 will design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.

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.

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 design and build the systems that identify the signals that matter most for visibility, the retrieval and embedding architecture that feeds the models, the ranking and scoring framework that prioritises actions and the evaluation layer that measures how different LLMs behave across queries, surfaces and contexts.

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 - £70k | Remote / Hybrid | FinTech / Payments Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. We're working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost,...