Data Scientist

Full-time Permanent Mid-level Senior

Location:
Hybrid with working from our Canary Wharf office 1-2 days a week

Reports to:
Head of Data Science

Join Us at The Centre for ADHD Research and Excellence:
Shaping the Future of Accessible Healthcare

At Care ADHD, our mission is to transform ADHD care through innovation, data, and technology — delivering accessible, patient-centred services that improve outcomes for individuals, clinicians, and healthcare providers.

We believe that high-quality data and meaningful insight are essential to improving clinical services, understanding patient journeys, and ensuring that care is delivered efficiently and effectively.

We are seeking an experienced and commercially minded Data Scientist to help shape and evolve Care ADHD’s analytics and data science capabilities.

Reporting to the Head of Data, this role will play a key part in helping the organisation better understand patient journeys, operational performance, and clinical service effectiveness through advanced analytics, machine learning, and data-driven insight.

You will work across healthcare, operational, and product datasets to identify trends, develop predictive models, and generate actionable insights that support service improvement and positive patient outcomes.

This role combines hands‑on data science, analytics, stakeholder collaboration, and innovation — with the opportunity to contribute to the future use of AI and advanced analytics within a rapidly growing digital healthcare organisation focused on ADHD care and neurodiversity support.

Data Science & Advanced Analytics

• Develop analytical and predictive models using healthcare and operational data
• Apply statistical analysis, machine learning, and AI techniques to identify trends, patterns, and opportunities for improvement
• Build models and analytical solutions to support:
• Service demand forecasting
• Appointment attendance prediction
• Capacity and scheduling optimisation
• Patient pathway analysis
• Analyse patient journeys across the ADHD care pathway, including:
• Waiting times
• Assessment and treatment progression
• Patient engagement and retention
• Support experimentation, hypothesis testing, and exploratory data analysis to improve service delivery and operational outcomes

Healthcare Data Analysis & Insight

• Work with data from multiple systems including:
• Electronic patient records
• Scheduling systems
• CRM platforms
• Operational and financial datasets
• Generate actionable insights that support:
• Clinical services
• Operational performance
• Service planning
• Identify operational bottlenecks, inefficiencies, and opportunities for service improvement
• Translate complex analytical findings into clear and meaningful recommendations for stakeholders
• Develop dashboards and visualisations using Tableau
• Deliver reporting solutions that support:
• Executive reporting
• Operational monitoring
• Clinical insight
• Patient pathway analytics
• Ensure reporting solutions are scalable, accessible, and support self‑service analytics
• Support continuous improvement of reporting frameworks and analytical outputs

Data Management & Quality

• Work closely with data engineering and platform teams to ensure data is reliable, structured, and accessible
• Support development of analytical datasets, data models, and consistent metric definitions
• Identify and resolve data quality issues across systems and workflows
• Contribute to good practices around:
• Data governance
• Documentation
• Analytical standards
• Ensure healthcare data is handled securely and in line with GDPR and governance requirements

Stakeholder Collaboration

• Work closely with:
• Clinical teams
• Operational leaders
• Product teams
• Engineering and data teams
• Understand business and clinical challenges and translate them into analytical approaches
• Present insights and analytical findings to both technical and non‑technical audiences
• Support evidence‑based decision‑making across the organisation
• Contribute to the growth of Care ADHD’s data science and analytics capabilities
• Identify opportunities to improve how data is collected, analysed, and used across the organisation
• Stay informed about developments in:
• AI and machine learning
• Digital health technologies
• Help shape…