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VisitScotland

Data Scientist

VisitScotland Scotland, United Kingdom · £45K–£51K/yr

Government Administration · 201-500 employees

5 h ago
data-scientist Senior (5-10 yrs) Full-time Temporary United Kingdom
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About the role

The Data Scientist will design and maintain advanced statistical and machine-learning models to forecast visitor demand, spend, and capacity pressures. They will also develop scenario-planning tools and provide evidence-based insights to support strategic decision-making across the organization.

What they look for

Statistical modeling Econometric modeling Machine learning Forecasting Data analysis Scenario planning Optimization tools Quantitative research Causal inference Data platforms Economic impact assessment Policy analysis Insight communication Python R SQL

Requirements

The role requires expertise in advanced modeling techniques, including econometrics and machine learning, to support quantitative research and policy recommendations. Candidates should be capable of translating complex analytical findings into clear, actionable insights for stakeholders.

Benefits

Family-friendly policies Flexible working policies Professional development

Full description

VisitScotland is Scotland’s National Tourism Organisation, and we’re proud to promote the wealth of incredible features our country has to offer. Our aim is to benefit Scotland by growing its tourism industry and giving it a renowned presence in the global marketplace.

  • The Data & Insight team at VisitScotland helps turn data, research, and evidence into insights that support decision-making and deliver value for Scotland’s visitor economy. Bringing together expertise in data platforms, visitor and market research, economic and policy analysis, and insight communication, the team provides trusted evidence to inform strategy, measure impact, and support organisational priorities.
  • The team comprises four specialist areas: Data Products & Platforms, Visitor, Market & Experience Insight, Strategic Measurement & Policy Insight, and Insight Activation & Partnerships. Together, they develop and manage data products and platforms, deliver research and analysis on visitors and markets, assess economic impact and policy outcomes, and ensure insights are communicated effectively and adopted across VisitScotland and its partner network.
  • Own the design, build, and maintain advanced statistical, econometric, and machine-learning models to forecast demand, dispersal, seasonality, visitor flows, spend, and capacity pressures across the visitor ecosystem.
  • Apply AI and modern ML techniques to improve forecasting accuracy, automate modelling processes, and enable new analytical capabilities, ensuring models remain innovative, explainable, and future-ready.
  • Develop scenario-planning and optimisation tools that allow users to test interventions under alternative assumptions, evaluate trade-offs, and understand sensitivity and uncertainty.
  • Support quantitative research and experimentation, identifying causal drivers of behaviour, designing uplift tests, and integrating insights into product roadmaps and policy recommendations.
  • Partner with Strategic Measurement & Policy Insight to integrate the Tourism Economy Model, ROI frameworks ensuring coherence and methodological rigour.

For more information, please see the full job description (LinkedIn users will need to click "apply" to view JD and links below)

Contract Type: Mat Cover (12 months) Salary Grade: Grade G, (£45,297 - £50,694) Last Date for Submissions: date

This role can be based out of any VisitScotland office locations across Scotland. VisitScotland operates a hybrid working culture, partially office and partially home based.

With family-friendly and flexible working policies, we offer an impressive range of benefits and professional development. We are an equal opportunities employer, and value diversity in all its forms. You can read more about working for us, our benefits and our culture by clicking here.

Responsibilities

Please see candidate information pack, link above.

Qualifications

Please see candidate information pack, link above.

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