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Senior Data and Insight Scientist
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-09-12
Listing for:
Lloyd’s Register Foundation
Full Time, Part Time
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist
Job Description & How to Apply Below
Put your data science role in front of the right audience — Post your job
Senior Data and Insight ScientistOrganisation Lloyd’s Register Foundation
Organisation Lloyd’s Register Foundation Locations
London, UK
Final date to receive applications 12 days remaining
- Full time – Permanent role
- Hybrid and flexible work schedules with an appreciation for work-life balance
- Working in a global company with the ability to work with different cultures and diverse people
- Competitive benefits package including 26 days holiday pro rata per annum, plus flexible bank holidays, buy/sell holidays, bonus scheme, company funded PMI, EAP, discount scheme & opportunities for learning & development (including financially supported part-time study)
- The opportunity to work for an organization that has a clear sense of purpose, is values-driven and helps colleagues to develop professionally and personally through our range of people development programs.
We do not expect applicants to demonstrate all of the specific skills outlined, and we are interested in hearing what you can bring to the role.
- Analytical Leadership
- Perform high quality quantitative analysis across complex and large-scale datasets
- Apply appropriate, rigorous, and transparent analytical methods
- Ensure strong quality assurance across data, code, and outputs
- Develop reproducible analytical workflows that can be audited and reused
- Insight & Visual Communication
- Translate technical findings into clear, compelling insight for non-technical audiences
- Design and maintain:
- Dashboards and data products
- Contribute analytical content to reports, briefings, and publications
- Provide analytical leadership to major initiatives, including:
- World Risk Poll
- Global Safety Evidence Centre
- Work with programme teams to:
- Shape research questions
- Interpret findings
- Apply evidence in practice
- Support monitoring, evaluation, and learning (MEL) through effective use of data and insight
- Work collaboratively with internal teams, research partners, and advisory groups
- Present insight to senior leadership, Board members, and external stakeholders
- Act as a trusted technical adviser within multidisciplinary teams
- Capability Building & Innovation
- Improve analytical tools, methods, and workflows across the organisation
- Reproducibility
- Accessibility
- Mentor colleagues and contribute to a strong analytical culture
- Support the organisation’s shift toward data informed decision-making
We do not expect applicants to demonstrate all of the specific skills outlined, and we are interested in hearing what you can bring to the role.
Essential Technical and Data- Solid data analysis and transformation skills, using modern analysis languages (SQL, Python, R) within a cloud-based data environment
- Experience working with both exploratory (notebook-based) and production code
- Experience with data engineering principles and cloud based data architecture
- Solid applied statistics, including:
- Hypothesis testing
- Regression analysis
- Confidence intervals and effect sizes
- Experience working with complex survey data, including:
- Cross-national comparison
- Ability to develop reproducible, auditable analytical workflows
- Strong numerical judgement and attention to data quality
- Effective verbal communication, including presenting to senior and external audiences
- Clear written communication, translating analysis into clear reports and narratives
- Ability to:
- Translate ambiguous stakeholder questions into analytical problems
- Translate findings into actionable insight
- Senior individual contributor mindset with end-to-end ownership of work
- Effective stakeholder management across a complex organisation
- Experience working with international partners and multidisciplinary teams
Position Requirements
10+ Years
work experience
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