Our data science work is grounded in strong quantitative expertise and a focus on real-world application. We work with organisations to turn data into something useful, helping to solve problems, understand what’s happening and inform better decisions.
We’re particularly focused on making data practical and accessible. That means translating complex analysis into clear, usable insights and strong data storytelling that can be understood and applied by clients and their stakeholders, not just technical teams.
Data engineering
Bringing data together and making it usable.
Data visualisation
Making information visible and understandable.
Workforce research
Understanding workforce dynamics, needs, and trends.
IDI analytics and insights
Using integrated data to understand outcomes and patterns at a system level.
Predictive analytics
Identifying trends and forecasting what is likely to happen.
Impact modelling
Understanding how change happens and estimating future impact.
Logistics optimisation
Improving efficiency and decision-making in complex systems.
Agricultural and environmental economics
Understanding trade-offs and impacts across environmental and economic outcomes.
Social return on investment (SROI)
Understanding and quantifying the value created.
Bespoke AI agent development
Designing tailored AI solutions that fit your organisation, workflows, and decision-making needs.
Training
Data storytelling training
Communicating insights clearly to inform decisions and actions.
Ready to turn your data into clearer decisions?
Contact Scarlatti's data science team to discuss how we can help you make better use of your data.
Hannah
Senior research manager