Senior Data and Insight Scientist

Lloyd's
London, UK
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£50,000.0 - £70,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Big Data BigQuery Cloud Database Information Engineering Data Integration Data Presentation Data Sharing Data Visualization R (Programming Language)
+12 more
Google Analytics Statistical Hypothesis Testing Python (Programming Language) Machine Learning Regression Analysis Power BI SQL Databases Tableau (Software) Web Analytics Google Data Studio Large Language Models Production Code

Job description

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., 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, * 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, Please note we’re not responsible for the content of job ads, as they’re posted by the recruiter. We’ll aim to resolve the reported issue and we’ll use your feedback to improve the quality of our ads.

Requirements

Applied data and statistical skills, along with the ability to communicate insights clearly to nontechnical audiences, 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

Benefits & conditions

  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.charityjob.co.uk

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