Data Scientist

LIFE Healthcare Group
Dunkeld
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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: . 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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.