At a Glance
- Tasks: Develop predictive models and analyse data to improve ADHD care and patient outcomes.
- Company: Join a pioneering HealthTech start-up transforming ADHD services in the UK.
- Benefits: Enjoy 25 days annual leave, a birthday day off, and a home office setup stipend.
- Other info: Collaborate with diverse teams in a fast-paced, dynamic environment focused on continuous improvement.
- Why this job: Make a real impact on ADHD care through innovative data science and analytics.
- Qualifications: Degree in a quantitative field and experience with large datasets and analytical models.
The predicted salary is between 50000 - 60000 £ per year.
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.
The Role
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.
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, appointment attendance prediction, capacity and scheduling optimisation, and patient pathway analysis
- Analyse patient journeys across the ADHD care pathway, including waiting times, assessment and treatment progression, and 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, and operational and financial datasets
- Generate actionable insights that support clinical services, operational performance, and 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, and 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, and 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, and 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, and digital health technologies
- Help shape the future use of AI and predictive analytics within the organisation
What We’re 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 SQL and relational databases, statistical analysis and predictive modelling, data analysis and data manipulation, Tableau and data visualisation, and machine learning and AI techniques
- Experience with tools and technologies such as MS SQL Server, Tableau, Python or R, Git/version control tools, Excel, and analytical tooling
- Understanding of data governance and data quality principles, data modelling and analytical datasets, and working with sensitive healthcare data
- 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.
- 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’ll work closely with clinical, operational, product, and technology teams to build meaningful analytical capabilities that directly improve patient outcomes and service delivery.
What You can Expect From Us
- 25 days annual leave (plus UK public holidays)
- Team get‑togethers
- A paid day off on your birthday
- Office equipment when you join
- £500 stipend to set up your home office*
- Pension contribution
- Be part of one of the UK’s most ambitious HealthTech start‑ups
Company Overview
At CARE ADHD, we’re revolutionising private healthcare by making ADHD assessments and treatment more affordable and accessible to those who need it. Our client‑centred approach, combined with lean methodology and a focus on continuous improvement, drives our commitment to excellence. We embrace an innovative mindset, encouraging rapid learning and adaptation through our 'fail fast' ethos. With ambitious plans to become the largest ADHD service provider outside the NHS within the next five years, we are committed to pushing boundaries and fostering innovation.
Data Scientist in London employer: RGIT Australia
At Care ADHD, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the healthcare sector. Our hybrid work model allows for flexibility while our Canary Wharf office fosters a vibrant work culture where employees are encouraged to grow and develop their skills in data science and analytics. With generous benefits such as 25 days of annual leave, a birthday off, and a commitment to continuous improvement, we empower our team to make a meaningful impact on ADHD care and patient outcomes.
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We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
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