Data Scientist

Job Title: Data Scientist
Location: [Hybrid Bangalroe]
Reports to: Head of Data Science
Our Mission
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.
Our Values
Patients First | Innovation with Purpose | Collaboration Drives Impact | Trust Through
Transparency | Continuous Improvement
If our mission, values, and purpose align with your own, we would love to hear from you.
Overview
We are seeking an experienced and commercially minded Data Scientist to help shape and
evolve Care ADHD 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.

Key Responsibilities
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
Patient engagement analysis
Appointment attendance prediction
Capacity and scheduling optimisation
Patient pathway analysis

Analyse patient journeys across the ADHD care pathway, including:
Referral volumes
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
Referral management platforms
Scheduling systems
CRM platforms
Operational and financial datasets

Generate actionable insights that support:

Clinical services
Operational performance
Service planning
Leadership decision-making

Identify operational bottlenecks, inefficiencies, and opportunities for service
improvement
Translate complex analytical findings into clear and meaningful recommendations for
stakeholders
Reporting & Data Visualisation

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
Data quality monitoring
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
Continuous Improvement & Innovation

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:

Healthcare analytics
AI and machine learning
Digital health technologies
Help shape the future use of AI and predictive analytics within the organisation
What We Are Looking For
Education
Degree in a quantitative or analytical discipline such as:

Data Science
Statistics
Mathematics
Computer Science
Health Informatics
Economics
Or a related field
Equivalent experience will also be considered.
Experience

Experience working in a Data Scientist, Senior Data Analyst, or similar analytical role
Experience working with large and complex datasets
Strong experience developing analytical models and generating actionable insights
Experience in healthcare, digital health, SaaS, or regulated environments preferred
Experience building dashboards and reporting solutions using Tableau
Experience working with cross-functional stakeholders to support operational or
service improvements
Technical Skills
Strong experience with:

Python (Pandas, NumPy, Scikit-learn, etc.)

• Data engineering with AWS (S3, Athena, Glue and Redshift)
  SQL and relational databases
  Statistical analysis and predictive modelling
  Data analysis and data manipulation
  Tableau and data visualisation
  Machine learning and AI techniques
  
  
  

Experience with tools and technologies such as:

MS SQL Server

AWS
Tableau/Quicksight
Python or R
Git/version control tools
Excel and analytical tooling
Understanding of:

Data governance and data quality principles
Data modelling and analytical datasets
Working with sensitive healthcare data
Healthcare operational analytics
Leadership Competencies
Analytical Thinking
Strong problem-solving skills with the ability to work with complex and ambiguous datasets.
Communication
Ability to clearly communicate analytical findings and recommendations to both technical
and non-technical stakeholders.
Collaboration
Experience working across multidisciplinary teams including clinical, operational, product,
and technology stakeholders.
Delivery
Ability to manage multiple priorities and deliver high-quality analytical outputs in a fast-
paced environment.


What Success Looks Like

High-quality analytical insight supporting operational and clinical decision-making
Predictive and analytical models delivering measurable service improvements
Reliable and accessible dashboards and reporting solutions
Improved understanding of patient journeys and service performance
Strong collaboration between data, clinical, product, and operational teams
Increased adoption of data-driven decision making across the organisation
Why Join Care ADHD
This is an opportunity to help shape how data science, AI, and analytics support ADHD care
within a growing digital healthcare organisation.
You wil work closely with clinical, operational, product, and technology teams to build
meaningful analytical capabilities that directly improve patient outcomes and service
delivery.