Data Scientist
Location: Head Office, Dunkeld
Closing Date: 9 January 2026
Two vacancies exist for Data Scientists based at Life Head Office in Dunkeld, reporting to the Statistician Leads. The successful candidate will be a key part of driving and embedding advanced analytics in the organisation. The role is responsible for extracting hidden insights from data that can inform strategic decisions using cutting-edge statistical and machine learning techniques.
Critical Outputs
- Ensure that Life Healthcare can drive business value through predictive and prescriptive analytics.
- Apply statistical and machine learning techniques to extract insights from structured and unstructured datasets to solve specific problems of business stakeholders.
- Identify opportunities for additional value-adding insights from data analysis.
- Ongoing skills development and research into optimal techniques and solutions for analytical problems.
- Work effectively independently and as part of a team collectively to solve problems.
- Present insights in a compelling and actionable way.
- Deliver insights that enhance business and senior management views of the value of analytics to the organisation.
- Use business knowledge and data understanding to extract features from raw data that can improve machine learning models
- Ongoing monitoring of the performance of advanced analytic models
Requirements
- Minimum Bachelors and preferably Honours-level degree in Computer Science, Mathematics, Statistics, Actuarial Science, Economics or a cognate analytical field, or other equivalent qualifications.
- 2+ years of experience in an analytics environment, using statistical and machine learning techniques.
- Commitment to continuous learning and sharpening of skills.
- Specific coding language experience (Python/R/SAS/SQL) would be an advantage
- Good communication skills.
- Understanding data architecture and pipelines and engaging effectively with the team responsible for ensuring that data delivery meets analytical needs.
- Demonstrated ability to analyse and interpret complex problems or processes that span multiple business areas, identify and understand requirements, and develop alternate solutions.
- Ability to translate complex analytical concepts into a digestible and understandable way for the business stakeholder.
- Ability to work to deadlines.
- Familiarity with relevant analytics tools, including big data solutions.
- Healthcare experience will be a strong advantage.
Competencies
- Attention to detail
- Analytical thinking
- Problem-solving, analysis and judgement
- Resilience
- Engaging diversity
- Analytical mindset
- Building relationships
- Customer responsiveness
- Organisational awareness
- Excellence orientation
- Deadline driven
- Professionalism
Data Scientist
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