Senior data scientist Work, Jobs in Sighthill, Edh (with Salaries)

Senior Data Scientist
Craneware —Edinburgh
- Hybrid work
- Azure
- SQL
- Machine learning
Lead Data Scientist
Standard Life —Edinburgh
- Up to £75,000 a year
- Azure
- SQL
- Machine learning
- Annual leave

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Senior Data Scientist

Craneware -
Edinburgh

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Job details

Permanent

Qualifications

Jira
Power BI
Azure
Software deployment
R
Git
Tableau
SQL
Statistical analysis
Machine learning
Agile
Data visualisation
AI
Business
Communication skills
Python

Full job description

Vacancy Name

Senior Data Scientist

Company

Craneware PLC

Speciality

Technology

Category

Permanent

Location Country

Office Location

Edinburgh

Additional Locations

Introduction to Craneware

Let’s transform the business of healthcare! At The Craneware Group, we are dedicated to empowering our customers with industry-defining insights that pave the way for a brighter future.

If you are an energetic, forward-thinking individual with a passion for innovation, we invite you to join our thriving team of more than 750 dedicated professionals. Together, we'll fuel the expansion of our SaaS platform and develop cutting-edge applications that redefine the healthcare landscape.

For UK Only Postings: The Craneware Group supports a flexible work environment as well as a collaborative and teamwork focused atmosphere. Employees will be expected to work a hybrid working arrangement spending 40% of their time per month in the Tanfield office - approx 2 days per week.

The Team

At The Craneware Group, our Data Science team plays a critical role in shaping the future of healthcare technology. We work at the intersection of advanced analytics, machine learning, and AI—partnering closely with Engineering, Product, and the wider business to turn complex healthcare data into meaningful, real‑world outcomes.

As a Senior Data Scientist, you’ll join a collaborative, highly skilled team that values strong technical foundations, thoughtful problem‑solving, and responsible innovation. From improving existing products to helping catalyse new, data‑driven solutions, the team is constantly exploring how modern data science and generative AI can deliver measurable impact for healthcare providers.

You Will Be

Designing and developing high‑quality, scalable analytics and AI solutions, including machine learning models and generative AI applications
Applying advanced statistical modelling and modern data science techniques to solve complex, high‑impact problems
Working closely with Engineering, Product, and Business stakeholders to embed data science solutions into production systems
Championing data science best practices across the organisation, from model governance and validation through to responsible AI use
Reviewing and contributing to production‑level code, ensuring quality, consistency, and alignment with development standards
Keeping up to date with emerging technologies and techniques to drive continuous innovation
Mentoring and supporting junior data scientists and analysts, helping shape technical growth and consistent ways of working
Translating complex analytical insights into clear, actionable recommendations for both technical and non‑technical audiences

You Will Bring

Significant hands‑on experience as a Data Scientist, with a strong track record of delivering measurable business or product impact
A degree in a computational or quantitative discipline such as Data Science, Statistics, Engineering, Mathematics, Physics, or a related field
Strong programming skills in Python or R, alongside solid experience using SQL and working with relational and large‑scale data sets
Deep expertise in statistical modelling and machine learning, with practical experience taking models into production
Experience designing and applying generative AI solutions, including working with large language models (LLMs) and prompt engineering
Familiarity with data visualisation tools such as Tableau, Power BI, Qlik, or similar
Experience working in cloud environments, ideally Microsoft Azure, with an understanding of modern data platforms
A good understanding of MLOps practices, including versioning, monitoring, and automated deployment pipelines
Experience working in Agile, CI/CD‑driven engineering environments and using ALM and source control tools (e.g. Jira, Azure DevOps, Git)
Excellent communication skills, with the ability to explain complex ideas clearly and adapt messaging to different audiences
A proactive, self‑motivated approach with the confidence to influence, collaborate, and continuously improve technical processes
Experience working with healthcare, medical, or claims data is highly desirable

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