Senior Data and Insight Scientist

Lloyd’s Register Foundation; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

26 days holiday pro rata

Flexible bank holidays

Bonus scheme

PMI

Employee Assistance Program

Discount scheme

Learning & development support

Job summary

Lloyd’s Register Foundation in London, UK, is seeking a Senior Data and Insight Scientist to lead complex data analysis and translate findings into actionable insights for senior leadership and external stakeholders. The role combines analytical leadership with end-to-end ownership, working across international partners and multidisciplinary teams in a hybrid work environment.

You will shape research questions, develop data products, and mentor others while advancing data-informed

Qualifications

• Solid data analysis and transformation skills using SQL, Python, and R.
• Experience with exploratory notebooks and production code.
• Experience with cloud-based data architecture and data engineering principles.
• Strong statistical knowledge including hypothesis testing and regression analysis.
• Ability to translate analysis into clear reports and narratives.
• Excellent verbal communication for senior/external audiences.

Responsibilities

• Lead high-quality quantitative analysis across large datasets.
• Develop reproducible analytical workflows that are auditable.
• Design and maintain dashboards and data products.
• Present insights to senior leadership and external stakeholders.
• Collaborate with internal teams and international partners.
• Mentor colleagues and contribute to analytical culture.

Job description

Put your data science role in front of the right audience — Post your job

Senior Data and Insight Scientist

Organisation Lloyd’s Register Foundation

Organisation Lloyd’s Register Foundation Locations

London, UK

Application Deadline 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.

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.

• 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

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:
• 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:
• Strengthen organisational impact
• Contribute to global conversations on safety and wellbeing

Department for Science, Innovation & Technology

Birmingham, Bristol, Cardiff, Darlington, Edinburgh, London, Manchester, Salford