3 of 3 Remote/Hybrid Life Science Jobs in Scotland

Head of Data Science

Hiring Organisation
Jobleads-UK
Location
City of Edinburgh, Scotland, United Kingdom
scale from 100 to 300 people we’re growing our Advanced Data Practice team through the appointment of a Head of Data Science to drive both client impact and team growth About the role In this role you will shape and deliver the data science agenda ensuring machine … performing team while helping clients unlock value from advanced data and decisioning. What you will be doing Lead and grow a multi-disciplinary data science team including data scientists and analysts Define and embed a best practice operating model for scalable and commercially viable data science solutions Provide ...

People Insights Data Architect

Hiring Organisation
Jobleads-UK
Location
Glasgow, Scotland, United Kingdom
reporting to build efficient, repeatable solutions. ABOUT YOU Proven experience with Fusion Analytics or Fusion Data Intelligence is preferred. Bachelor’s degree in computer science, Statistics, Information Systems or equivalent experience. 5+ years in data management, business analysis, or analytics. Experience with HR metrics/KPIs is a plus … Posting Date 02/03/2026, 08:37 AM Degree Level Associate Degree Job Schedule Full time Locations Todd Campus West of Scotland Science Park, Glasgow, GB (Hybrid) #J-18808-Ljbffr ...

Head of Engineering

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Edinburgh, Midlothian, Scotland, United Kingdom
Employment Type
Full-Time
Salary
£120,000 - £140,000 per annum
engineers across backend, platform, full stack, and data disciplines. Act as the primary engineering leader, allowing the wider technology leadership to focus on data science and machine learning innovation. Set clear standards for engineering best practice, architecture, delivery, and technical decision making. Coordinate and oversee multiple workstreams, ensuring projects … delivered effectively. Stay close to technical design and architecture, providing guidance and challenge without being hands on day to day. Partner with product, data science, and client facing teams to ensure the platform is robust, scalable, and delivering real customer value. Help shape and evolve a strong, collaborative engineering ...