At a Glance
- Tasks: Create predictive models and analyse healthcare data to improve patient care.
- Company: Care ADHD, a forward-thinking organisation in the heart of London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a real difference in healthcare by leveraging data science and AI.
- Qualifications: Degree in a quantitative field and experience with large datasets.
The predicted salary is between 50000 - 65000 £ per year.
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.
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.
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.
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 the future use of AI and predictive analytics within the organisation.
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.
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, and 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.
Data Scientist employer: Care ADHD
Care ADHD is an exceptional employer located in the vibrant Canary Wharf, London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from opportunities for professional growth through continuous learning and development in the healthcare analytics field, while contributing to meaningful improvements in patient care. With a commitment to data-driven decision-making and a supportive environment, Care ADHD empowers its team to make a real impact in the lives of those affected by ADHD.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Care ADHD!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Care ADHD.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Care ADHD.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Care ADHD, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Care ADHD, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Care ADHD. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Care ADHD
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Care ADHD!
✨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.
