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 explicit 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.

📌 Data Scientist (Bengaluru)
🏢 Care ADHD
📍 Bengaluru