At a Glance
- Tasks: Develop predictive models and analyse patient journeys to improve ADHD care.
- Company: Join Care ADHD, a pioneering digital healthcare organisation focused on neurodiversity.
- Benefits: Enjoy a competitive salary, hybrid working, and 25 days annual leave.
- Other info: Collaborate with diverse teams and contribute to innovative healthcare solutions.
- Why this job: Make a real impact in healthcare by leveraging data science and AI.
- Qualifications: Degree in a quantitative field and experience with large datasets required.
The predicted salary is between 65000 - 75000 £ per year.
Salary: £65,000 - £75,000
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
- 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’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:
- Python (Pandas, NumPy, Scikit‑learn, etc.)
- 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
- 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
- Working with sensitive healthcare data
- Healthcare operational analytics
- 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.
- 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
- Competitive salary
- Hybrid working
- 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
Leadership Competencies
Success Looks Like
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
At Care ADHD, we’re committed to building a diverse and inclusive environment. We encourage applications from candidates of all backgrounds, especially those from historically marginalised communities, as we work together to create a more equitable future.
Data Scientist London employer: Meeveem Limited
At Care ADHD, we pride ourselves on being an exceptional employer dedicated to transforming ADHD care through innovation and data-driven insights. Our hybrid working model allows for flexibility while collaborating with a diverse team in our Canary Wharf office, fostering a culture of inclusivity and continuous improvement. With competitive salaries, generous annual leave, and a commitment to employee growth, we empower our staff to make meaningful contributions that directly enhance patient outcomes in a rapidly evolving digital healthcare landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist London
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We think you need these skills to ace Data Scientist London
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
