RELX

Senior Data Scientist

RELX

full-time

Posted on:

Location Type: Hybrid

Location: DublinIreland

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Job Level

Tech Stack

About the role

  • Contribute to data science projects across multiple business areas
  • Design and build analytical solutions, including data processing, statistical analysis, and machine learning
  • Explore new datasets and identify practical, high‑value use cases
  • Work collaboratively with technology, product, and data engineering teams to deliver reliable, production‑ready solutions
  • Communicate analytical findings clearly to both technical and non‑technical stakeholders
  • Support project planning, including requirements, timelines, and delivery
  • Help improve analytics platforms and cloud‑based workflows, including testing and migration activities
  • Use a combination of open‑source and proprietary tools to develop solutions
  • Share knowledge and support the development of colleagues through mentoring and collaboration
  • Travel occasionally between the UK and Ireland for meetings or workshops, where required

Requirements

  • Professional experience in data science, analytics, or a related field
  • Strong experience working with data, including extracting, cleaning, and transforming structured and semi‑structured data
  • Proficiency in SQL and in at least one programming language such as Python or R
  • Experience or interest in scalable data processing (e.g. distributed or cloud‑based systems)
  • Understanding of data quality, integrity, and maintainable code practices
  • Familiarity with version control and collaborative development practices
  • Ability to communicate complex ideas clearly in writing and verbally
  • A degree or equivalent practical experience in a quantitative, technical, or analytical field
  • Advanced degrees and formal certifications are valued but not essential
Benefits
  • Private medical benefits
  • Wellbeing programs
  • Life assurance
  • Group income protection
  • Access to a competitive contributory pension scheme
  • Employee Assistance Programme
  • RECARES days, giving you time to support the charities and causes that matter to you
  • Access to employee resource groups with dedicated time to volunteer
  • Access to extensive learning and development resources
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencestatistical analysismachine learningdata processingSQLPythonRdata cleaningdata transformationdata quality
Soft Skills
communicationcollaborationmentoringproject planningproblem-solvinganalytical thinkinginterpersonal skillsclear writingverbal communicationteamwork
Certifications
advanced degreesformal certifications