Data Scientist

LIFE Healthcare Group; Dunkeld; On-site; GBP 40,000 - 60,000; Full time

Job summary

A healthcare organization in Dunkeld is looking for Data Scientists to drive advanced analytics and extract insights from data. Candidates should have a Bachelor's degree in a relevant field and at least 2 years of experience in analytics, utilizing statistical and machine learning techniques. Familiarity with Python, R, and healthcare experience is preferred. This is an opportunity to contribute to data-driven strategic decisions in a dynamic environment.

Qualifications

• Minimum 2 years of experience in an analytics environment.
• Familiarity with big data solutions.
• Healthcare experience is advantageous.

Responsibilities

• Extract insights from data to inform strategic decisions.
• Apply machine learning techniques for business value.
• Communicate insights clearly to stakeholders.
• Monitor performance of analytic models.

Skills

Statistical techniques

Machine learning techniques

Communication skills

Analytical thinking

Problem-solving

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, or related field

Tools

Python

R

SAS

SQL

Job description

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

Email: [e-mail]. Closing date: Friday, January 9, 2026.

Internal applicants – before making an application, you are requested to discuss your application with your line manager. External candidates will also be considered.

Life Healthcare is an Equal Opportunity Employer.

Thank you for your interest in this opportunity. Kindly note that only shortlisted candidates will be contacted. Applicants who have not been contacted within two weeks of the closing date of this advert should consider their application as unsuccessful.