Data scientist Work, Jobs in Scotland (with Salaries)

Applied AI Software Engineering Intern
Smplicare —Glasgow
- £25,000 - £30,000 a year
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Annual leave
Quick apply
Lead Data Scientist
Lloyds Banking Group —Edinburgh
- £92,701 - £109,060 a year
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
Data Scientist (Product Analytics)
Wordsmith AI —Edinburgh
- Full-time
- Communication skills
Climate Data Scientist
Alba Orbital Ltd. —Hillington
- £28,000 - £38,000 a year
- Temporary
- Doctoral degree
- Data analysis skills
- No degree
- Sick pay
Quick apply
8h
Integrated Financial Crime (IFC) - Data Scientist
Barclays —Glasgow
- Software development
- Financial services
Data Scientist
Optos —Dunfermline
- Doctoral degree
- Computer Science
- Engineering
Lecturer in Data Science
Queen Margaret University —Edinburgh
- £44,746 - £63,606 a year
- Full-time
- Hospitality
- Teaching
Senior Data Scientist
BBC —Glasgow
- £60,000 - £70,000 a year
- Full-time
- Machine learning
- Mentoring
1d
Senior Data Scientist
Craneware —Edinburgh
- Hybrid work
- Machine learning
- Mentoring
- AI
Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services
Amazon Development Centre (Scotland) Limited —Edinburgh
- Full-time
- Doctoral degree
- Computer Science
- English
Applied AI ML Associate - Agentic AI and Python
JPMorganChase —Glasgow
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Associate Controls Analyst (Defence)
AECOM —Glasgow
- Full-time
- Hybrid work
- PMP
- Engineering
- Master's degree
AI Research Lab AI/ML Engineer (100 % remote) (m/f/d)
EWOR GmbH —Edinburgh
- Remote
- English
- Communication skills
4d
AI Engineer II
Zonda Home —Glasgow
- £55,000 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
Applied Scientist, Demand Tech, Amazon Ads
Amazon Development Centre (London) Limited —Edinburgh
- Full-time
- Doctoral degree
- Engineering
- Master's degree
Senior Software Engineer - Machine Learning (Marketplace Dynamics) (Remote - United Kingdom)
Yelp —Edinburgh
- Full-time
- Remote
- Research
- Machine learning
- Employee stock purchase plan
- Annual leave
Project Controls Analytics Consultant (Defence)
AECOM —Glasgow
- Full-time
- Hybrid work
- PMP
- Engineering
- Bachelor's degree
Applied AIML Lead - Agentic AI & Python
JPMorganChase —Glasgow
- Full-time
- Computer Science
- Master's degree
- Machine learning
Director, Agentic AI, Data Science Lead, AI Labs
BlackRock Investments —Edinburgh
- Hybrid work
- Doctoral degree
- Master's degree
- Machine learning
- Work from home
5d
Vice President, Artificial Intelligence & Machine Learning Engineer
BlackRock Investments —Edinburgh
- Hybrid work
- Machine learning
- In-person
- AI
- Work from home
1d

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Applied AI Software Engineering Intern

Smplicare
Glasgow

Quick apply

Job details

Fixed term contract | Internship
£25,000 - £30,000 a year

Benefits

Annual leave

Qualifications

Law
Computer Science
Relational databases
Engineering
Master's degree
Software development
Technical writing
Software testing
AI
Python

Full job description

Help us reimagine later life.

At Smplicare, we build simple, smart technology to help prevent falls in later life. We’re looking for an Applied AI Software Engineer to support the delivery of a key workstream within our funded project STEADI, an innovative research and development programme funded by Scottish Enterprise.

About the Project

Smplicare is developing a platform that helps older adults and carers understand and manage changes in frailty and fall risk. As part of this work, we are building an AI-assisted system for discovering reliable health information and converting approved sources into accessible content for our self-management mobile app.

The system will use large language models to search for relevant and approved health-information sources across a range of categories, summarise them for review, generate structured content drafts along with appropriate metadata and tags, and store outputs in our content management system.

You will help contribute to planning, and then take ownership of the defined technical project by prototyping and evaluating the system. You will work collaboratively with data, engineering, product, and clinical teams throughout. This is a hands-on software engineering project with significant opportunity to influence how the system is designed and delivered.

What You’ll Do

Design and build an LLM-assisted pipeline for discovering relevant health-information sources on the web.
Produce structured source summaries and information for human review.
Build a pipeline that converts approved sources into app-content drafts.
Generate proposed content metadata and tags using an agreed schema.
Implement auditability across the pipeline.
Contribute to the integration of approved drafts with production systems.
Create evaluation systems for source quality and content accuracy.
Investigate technical options independently, document decisions and communicate progress regularly
Write maintainable code and clear technical documentation.
Self-manage project backlog, communicate progress, and raise issues early.
Collaborate with data, engineering, product, and clinical teams.

What success looks like

By the end of the internship, we expect you to have delivered:

A working prototype covering web discovery through to reviewed drafts
A repeatable method for evaluating discovered sources and generated content.
Tested and documented software that can form the basis of a production system.
Documentation around ideas, decisions, implementation approaches, limitations, and risks.

Who we’re looking for:

We are looking for someone who:

Is studying towards, or has recently completed, a degree in computer science, software engineering, health informatics, data science or any related subject / experience.
Can build software in Python.
Understands core software engineering practices such as version control and code reviews.
Can break an ambiguous problem into manageable pieces and work with a high degree of independence.
Communicates technical decisions, progress, and blockers clearly.
Is interested in responsible AI and digital health.
Approaches health information carefully.

Desirable skills

Experience using LLM APIs or building LLM-based applications.
Experience with search, retrieval, embeddings, or RAG.
Experience with AWS or another cloud platform.
Experience with data pipelines and relational databases.
Health informatics or clinical knowledge.

What we offer

Flexible hybrid work model (2–5 days/week in our Glasgow office, with remote flexibility)
23 days paid leave (15 days holiday + 8 bank holidays)
The chance to make your mark on a startup at a key stage of growth and contribute directly to its success
The possibility of growing into a permanent role as Smplicare expands. This cannot be guaranteed, but our aim is to prove the long-term value of the role—not simply fill a 9-month post.
A small, values-led team where your voice matters and your work has visible, real-world impact
The chance to make a real difference in helping older adults live stronger, more independent lives

Pay: £25,000.00-£30,000.00 per year

Work Location: Hybrid remote in Glasgow (Glasgow, Glasgow)

Quick apply

Refine Your Search

data scientist jobs in scotland

Applied AI Software Engineering Intern

Lead Data Scientist

Data Scientist (Product Analytics)

Climate Data Scientist

Integrated Financial Crime (IFC) - Data Scientist

Data Scientist

Lecturer in Data Science

Senior Data Scientist

Senior Data Scientist

Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Applied AI ML Associate - Agentic AI and Python

Associate Controls Analyst (Defence)

AI Research Lab AI/ML Engineer (100 % remote) (m/f/d)

AI Engineer II

Applied Scientist, Demand Tech, Amazon Ads

Senior Software Engineer - Machine Learning (Marketplace Dynamics) (Remote - United Kingdom)

Project Controls Analytics Consultant (Defence)

Applied AIML Lead - Agentic AI & Python

Director, Agentic AI, Data Science Lead, AI Labs

Vice President, Artificial Intelligence & Machine Learning Engineer

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