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For Companies At a Glance
- Tasks: Transform healthcare with data insights and innovative analytical models.
- Company: Join a pioneering digital healthcare company on a mission to improve everyday health.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by leveraging data to drive decisions.
- Qualifications: 5+ years in data science, strong SQL & Python skills, and experience with LLMs.
- Other info: Be part of a dynamic team during an exciting phase of growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Data Scientist – Digital Healthcare
We are excited to partner with an innovative digital healthcare company on a mission to transform how millions of people manage their everyday health. Operating at the intersection of pharmacy, consumer health, and technology, this founder-led scale-up is redefining access to care through remote clinical assessment, digital prescription management, and seamless home delivery services.
Now entering a pivotal growth and scale-up phase, they are expanding their reach across the UK and internationally. To support this, they're building a mission-driven, data-led team, and are looking for a Data Scientist to join at an exciting time of rapid expansion and innovation.
The Opportunity
As the business scales into a multi-therapy, international health tech platform, data will sit at the heart of every decision, from product innovation and marketing to clinical operations and customer experience.
This role offers the chance to build data capabilities from the ground up, working across diverse datasets to develop analytical models, extract insights, and create actionable recommendations that enhance business performance and patient outcomes.
About You
You'll bring strong technical foundations and a strategic mindset, someone who enjoys translating data into decisions and influencing how a company scales.
Skills & Experience:
- 5+ years in data science or analytics, including ETL experience from GA4/Google Ads and CRM platforms.
- Advanced SQL & Python skills.
- Experience with dbt (or equivalent) and orchestration tools (Airflow / Cloud Composer).
- Proven experience using LLMs (OpenAI, Gemini, Claude, etc.) for analytics and automation.
- Strong background in data visualisation (Power BI / Looker / Looker Studio).
- Experience with regulated data environments and a disciplined approach to quality and documentation.
- Desirable: BigQuery, Snowflake, or Databricks; reverse-ETL tools; marketing attribution methods.
Next Steps
If you're a data scientist passionate about using data and making an impact, we would love to hear from you.
Apply now or contact Spectrum IT Recruitment to learn more about this opportunity.
Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Data Scientist employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the digital healthcare space, especially those working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those relevant to healthcare. Use platforms like GitHub or personal websites to display your work and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company's mission. Be ready to discuss how your experience with SQL, Python, and data visualisation can directly impact their growth and patient outcomes.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data science, analytics, and any relevant tools like SQL and Python. We want to see how your skills align with our mission in digital healthcare!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to transforming healthcare. We love seeing candidates who can connect their experience to our goals, so don’t hold back!
Showcase Your Projects: If you've worked on interesting projects, especially those involving LLMs or data visualisation, make sure to mention them. We’re keen to see how you’ve used data to drive decisions and improve outcomes in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our mission-driven team!
How to prepare for a job interview at Spectrum IT Recruitment
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to ETL processes and data visualisation. This will show that you can hit the ground running.
✨Showcase Your Analytical Mindset
Prepare examples of how you've translated complex data into actionable insights. Think about specific instances where your analysis led to significant business decisions or improvements. This will demonstrate your strategic thinking and ability to influence outcomes.
✨Familiarise Yourself with the Company’s Mission
Research the digital healthcare company and understand their mission to transform health management. Be ready to discuss how your skills as a Data Scientist can contribute to their goals, particularly in enhancing patient outcomes and business performance.
✨Prepare for Technical Questions
Expect technical questions related to your experience with LLMs, orchestration tools, and regulated data environments. Brush up on these topics and be prepared to explain your approach to quality and documentation in your work.
