ABOUT APPYWAY

AppyWay helps cities reduce carbon emissions by making it easier to manage and find parking.
The company started with a simple parking app called AppyParking because street parking data wasn’t easy to access or understand. This led them to create the largest database of standardized parking data in the UK.
Our Traffic Suite platform empowers local authorities with best-in-class kerbside data, APIs, and tools to manage traffic orders, parking, and street space more efficiently.
Now, AppyWay’s platform is used by cities across Europe and even in New York City. It provides parking maps, real-time availability, and cashless payment options to help drivers and delivery fleets find parking more efficiently.
They’ve raised over £20 million from investors like Hyundai and Mastercard to continue growing. If you want to help solve real-world problems and make a positive impact, AppyWay might be a great fit for you.

ROLE OVERVIEW

You will:

• Analyse kerbside, mobility, and geospatial datasets to identify trends and opportunities.
• Build dashboards and visualisations to track product performance and inform business decisions.
• Translate product challenges into data-driven questions and deliver insights for strategy.
• Explore AI platforms (Vertex AI, OpenAI) for survey imagery analysis, forecasting, and other use cases.
• Support the product development lifecycle through backlog creation, sprint planning, and agile ceremonies.
• Automate workflows where possible to improve data and product processes.
• Present insights and recommendations to influence AppyWay’s roadmap and customer value delivery.

KEY RESPONSIBILITIES

• Perform exploratory data analysis to understand patterns in kerbside usage and mobility flows.
• Design and test predictive models (e.g., demand forecasting, clustering, optimisation).
• Support product decisions with evidence-backed insights and dashboards.
• Apply computer vision and ML techniques to survey imagery and kerbside datasets.
• Experiment with AI models from platforms such as Vertex AI and OpenAI to extract insights from imagery and unstructured data.
• Familiarity with Python for data analysis and prototyping AI solutions
• Work closely with engineering and participate in sprint planning
• Document findings and communicate results clearly to both technical and non-technical stakeholders.

This role builds foundations in data analytics, BI, and product practice. Over time, you may specialise as either:

• Analytics / BI Lead focusing on dashboards, automation, and decision intelligence.
• Product Manager (Data/AI focus) guiding the roadmap by shaping how data, AI, and workflow automation inform features and business models