Data Scientist at Life Healthcare

• 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

Closing date

Friday, January 9, 2026