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- Tasks: Design and deliver impactful data science solutions in healthcare.
- Company: Leading consultancy focused on transforming health and healthcare.
- Benefits: Generous holiday, flexible working, strong pension, and tailored benefits.
- Why this job: Make a real difference in healthcare using advanced data analytics.
- Qualifications: Degree in Data Science or related field; strong Python and SQL skills.
- Other info: Supportive environment with career growth and mentorship opportunities.
The predicted salary is between 48000 - 84000 £ per year.
We are a leading consultancy with a purpose to make an enduring impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, drive adoption of innovation and create value through investment. Our consultancy serves the entire healthcare sector, from payors and providers of care, to life science companies, health tech and sector suppliers and health investors. We provide end-to-end services, from strategy through implementation, accelerated by data, digital and AI.
Our mission is to be invaluable to our clients, supporting them to innovate and make lasting improvements and to build an exceptional company that attracts, develops, and retains a trusted and uniquely talented team.
The Senior Data Scientist is a senior technical contributor within CF's Data Innovation team, playing a critical role in the design and delivery of high-impact data science solutions across the healthcare sector. The role sits at the intersection of advanced analytics, healthcare strategy, and client delivery, supporting NHS, life sciences, and health sector clients to improve outcomes, inform decision-making, and create value through data.
Responsibilities:
- Partner with NHS, life sciences, and other healthcare clients to translate complex and ambiguous questions into well-defined analytical problem statements.
- Lead the end-to-end delivery of data science workstreams, from scoping and design through to analysis, insight generation, and client presentation.
- Act as a trusted analytical advisor within projects, shaping both the analytical approach and the resulting solution.
- Apply structured problem-solving approaches to complex healthcare, commercial, and policy challenges.
- Communicate insights clearly to non-technical audiences, explaining methods, assumptions, limitations, and implications.
- Design and develop predictive models to forecast health outcomes, healthcare utilisation, and medicine sales performance.
- Conduct population health analyses, disease burden studies, and real-world evidence (RWE) research using large-scale healthcare datasets.
- Ensure analytical outputs are decision-focused and aligned to client objectives.
- Design, build, and maintain complex data pipelines integrating multiple disparate data sources.
- Write clean, well-structured, reproducible Python code with clear documentation.
- Lead technical discussions, workshops, and presentations with client stakeholders.
We are ideally seeking candidates with a combination of the following skills and experiences:
- Degree or postgraduate qualification in a relevant field (e.g. Data Science, Computer Science, Statistics, Mathematics).
- Strong experience delivering data science projects in a consulting or project-based environment.
- Advanced Python and SQL skills for data manipulation, analysis, and modelling.
- Strong experience with Git and collaborative development workflows.
- Experience working with cloud-based data storage solutions (e.g. AWS or GCP).
- Proven experience designing and implementing complex data pipelines.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Ability to work independently, take ownership of delivery, and manage multiple priorities.
Flexible working options are available, allowing you to work from home one day per week as standard, with additional remote working days per year. We offer a competitive and flexible reward package designed to support you at work and beyond it, including a generous holiday allowance, strong employer pension contribution, and access to wellbeing and employee assistance programmes.
Senior Data Scientist in London employer: Carnall Farrar
Contact Detail:
Carnall Farrar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the healthcare and data science sectors. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those relevant to healthcare. Use platforms like GitHub to share your code and analyses. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the healthcare landscape. Be ready to discuss how your experience aligns with their mission and how you can contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in data science, especially in healthcare. We want to see how your skills align with our mission to improve health outcomes.
Showcase Your Technical Skills: Don’t hold back on showcasing your Python, SQL, and data pipeline expertise. We’re looking for candidates who can demonstrate their technical prowess and how it can contribute to our projects.
Communicate Clearly: Remember, you’ll need to explain complex concepts to non-technical audiences. Use your application to show us how you can communicate insights effectively and clearly.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Carnall Farrar
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python and SQL. Be ready to discuss your past projects and how you've applied advanced analytics in real-world scenarios, particularly in healthcare.
✨Communicate Like a Pro
Since you'll be explaining complex concepts to non-technical audiences, practice simplifying your explanations. Use clear examples from your experience to demonstrate how your insights have driven decision-making in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled ambiguous problems in the past. Think of specific examples where you translated complex questions into actionable analytics, and be ready to walk through your thought process.
✨Engage with Stakeholders
Highlight your experience in leading discussions and workshops with clients. Be prepared to talk about how you've managed stakeholder expectations and delivered high-quality results while maintaining strong documentation and reproducibility.
