Senior Data and Insight Scientist
Lloyd’s Register Foundation
Location: London - UK
Candidates must provide work authorization for the respective country.
Applied data and statistical skills, along with the ability to communicate insights clearly to nontechnical audiences
Applications close: 6th September 23:59 UK time
Interview to be held Week commencing 21st September
About the Role:
The Senior Data and Insight Scientist provide analytical leadership across Lloyd’s Register Foundation, ensuring that data and evidence are robust, meaningful, and usable for decision‑making and impact.
The role bridges deep technical expertise with clear insight translation, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre.
This is a hybrid role combining advanced data analysis, applied statistics, evidence production, and high-quality communication. It plays a central role in strengthening the Foundation’s evidence‑led approach to safety.
About the Global Safety Evidence Centre
Lloyd’s Register Foundation’s mission to engineer a safer world is underpinned by the use of robust and credible evidence to better understand the nature and scale of global safety challenges, and what is needed to address them. While we know this evidence is critical to informing decision-making and improving safety, it often does not yet exist or is not easily accessible. Responding to this need, the Foundation has established GSEC as a hub for anyone who needs to know ‘what works’ to make people safer, collating the best safety evidence from our partners and other sources and communicating it in an understandable and actionable form. GSEC also hosts the Foundation’s own evidence outputs, such as our flagship World Risk Poll.
What we offer you
- 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.
The Role
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.
1. 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
2. Insight & Visual Communication
- Translate technical findings into clear, compelling insight for non-technical audiences
- Design and maintain:
- Data visualisations
- Dashboards and data products
- Contribute analytical content to reports, briefings, and publications
3. Programme Support & Delivery
- 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
4. Collaboration & Influence
- 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
5. Capability Building & Innovation
- Improve analytical tools, methods, and workflows across the organisation
- Champion best practice in:
- Data ethics
- Reproducibility
- Accessibility
- Mentor colleagues and contribute to a strong analytical culture
- Support the organisation’s shift toward data informed decision-making
What you bring
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
Statistical and Analytical
- Solid applied statistics, including:
- Hypothesis testing
- Regression analysis
- Confidence intervals and effect sizes
- Experience working with complex survey data, including:
- Weighting
- Sampling design
- Cross-national comparison
- Ability to develop reproducible, auditable analytical workflows
- Strong numerical judgement and attention to data quality
Communication
- 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
Ways of Working
- 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
Desirable
Technical and Systems
- Familiarity with:
- GCP / BigQuery
- dbt or Dataform
- Git/GitHub workflows
- Experience integrating data from multiple systems (e.g. CRM, finance, web analytics)
- Experience using BI tools (e.g. Looker Studio, Tableau, Power BI)
Advanced and Emerging
- Experience applying AI/LLM tools within analytical workflows
- Experience developing internal analytical tools (e.g. Shiny or equivalent)
- Working knowledge of web analytics data (e.g. GA4)
Statistical / Domain
- Background in survey methodology, social statistics, or policy-relevant analysis
- Experience working with international datasets
- Use of machine learning techniques where appropriate
Leadership and Delivery
- Experience mentoring or developing others
- Experience working with research or communications partners
- Ability to support organisational change toward stronger evidence use
- Experience in building networks, relationships, and ultimately and partnerships with relevant organisations
- Experience of championing data sharing, data collection, data use internally and externally
Design and data storytelling
- Experience in static design work to ensure data led reports are accurate and accessible
- Experience in dynamic web visualisation as a narrative tool or as a lead generator
- Evidence of engaging mixed methods storytelling
Role Impact
- This role is central to the Foundation’s credibility, influence, and effectiveness.
- By ensuring that evidence is:
- Technically robust
- Clearly communicated
- Decision ready
- the Senior Data and Insight Scientist enables the organisation to:
- Shape strategy
- Improve programme delivery
- Strengthen organisational impact
- Contribute to global conversations on safety and wellbeing
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