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For Companies At a Glance
- Tasks: Lead client projects, solve complex problems, and create impactful data-driven solutions.
- Company: Join a fast-growing organisation that values innovation and collaboration.
- Benefits: Competitive salary, flexible hybrid work, and opportunities for professional growth.
- Why this job: Shape the future of data science while making a real impact in a dynamic environment.
- Qualifications: 5+ years in a technical role, strong coding skills, and a STEM degree.
- Other info: Be part of a culture that promotes fairness, transparency, and boldness.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Senior Data Scientist – Healthcare & Life Sciences Consulting
Location: UK (hybrid working, 3 days in office or client site)
Sector: Healthcare | Life Sciences | Public Sector | Health Tech
A purpose-led consultancy operating at the forefront of healthcare transformation is seeking a Senior Data Scientist to join its growing data and analytics team.
This organisation works across the healthcare ecosystem — including health systems, life sciences, health technology and investors — supporting clients to improve outcomes, inform decision-making and create sustainable value through data, digital and AI.
The role
This is a senior technical, hands-on role sitting at the intersection of advanced analytics, healthcare strategy and client delivery. You will lead complex data science workstreams, translating ambiguous clinical, commercial and policy questions into robust, decision-focused analytics.
You’ll work closely with consultants, engineers and client stakeholders, acting as a trusted analytical advisor while maintaining a strong focus on delivery quality, reproducibility and impact.
Key responsibilities
Client delivery & advisory
- Translate complex client questions into well-defined analytical problem statements
- Lead end-to-end data science workstreams from scoping through to insight and presentation
- Communicate complex methods and insights clearly to non-technical audiences
- Operate confidently in ambiguous problem spaces, applying structured problem-solving
Advanced analytics & modelling
- Build predictive models for health outcomes, healthcare utilisation and commercial performance
- Deliver population health analysis, disease burden studies and real-world evidence work
- Apply rigorous statistical methods with a focus on transparency and interpretability
- Work with both structured and unstructured data sources
Data engineering & software engineering
- Design, build and maintain scalable data pipelines integrating multiple data sources
- Write clean, well-tested, reproducible Python code using modern engineering practices
- Use Git for collaborative development, code reviews and CI/CD workflows
- Work with cloud-based storage and compute environments (e.g. AWS or GCP)
- Manage Python environments (e.g. conda, poetry, uv, pip) and use Bash/CLI tooling
Stakeholder & delivery management
- Lead technical discussions, workshops and presentations
- Identify risks, dependencies and delivery constraints within data workstreams
- Maintain high standards of documentation, quality control and delivery excellence
- Support and mentor more junior team members
About you
Essential experience
- Degree or postgraduate qualification in Data Science, Computer Science, Statistics or similar
- Strong experience delivering data science projects in a consulting or project-based environment
- Advanced Python and SQL skills
- Strong grounding in statistics (e.g. regression, hypothesis testing, time series, predictive modelling)
- Experience designing and implementing complex data pipelines
- Experience working with cloud platforms and secure data environments
- Confident communicator, able to explain technical concepts to non-technical stakeholders
Desirable
- Experience working with healthcare, pharmaceutical or life sciences data
- Knowledge of population health, epidemiology, health economics or RWE
- Experience with unstructured data, NLP or advanced machine learning techniques
- Familiarity with healthcare data standards or clinical pathways
Working pattern
Hybrid working model with a strong emphasis on in-person client collaboration, balanced with flexible and remote working options.
Senior Data Scientist employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have the inside scoop on job openings or can refer you to their company.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects and achievements. Whether it’s a GitHub repository or a personal website, make sure it’s easy to navigate and showcases your coding prowess and analytical insights. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. Think about how you can explain complex concepts in simple terms, just like you would to a client. Remember, they want to see how you tackle problems and communicate your solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role and showcasing your relevant experience.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your technical expertise, especially in coding and analytics, and don’t forget to showcase any relevant projects or achievements.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for us at StudySmarter. Share your passion for tackling complex challenges and how your experience can contribute to our innovative environment.
Showcase Your Communication Skills: Since we value clear communication, make sure your application demonstrates your ability to explain technical concepts simply. Whether it’s in your CV or cover letter, clarity is key to showing us you can engage with clients effectively.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python and cloud platforms like AWS or Azure. Be ready to discuss your past projects and how you've tackled complex challenges. This will show that you're not just a theorist but someone who can apply their knowledge practically.
✨Communicate Clearly
Since you'll need to explain technical concepts to clients, practice breaking down complex ideas into simple terms. Use examples from your experience to illustrate your points. This will demonstrate your ability to educate and inspire others, which is key for this role.
✨Show Your Collaborative Side
Prepare to discuss times when you've worked with others, whether it's supporting colleagues or engaging with clients. Highlight your adaptability and willingness to step outside your defined role. This will resonate well with the company's emphasis on collaboration.
✨Be Future-Focused
Stay updated on emerging technologies and analytical techniques. During the interview, share your thoughts on future trends in data science and how they could impact the industry. This shows that you're not just looking at the present but are also thinking ahead, aligning with the company's innovative spirit.
