At a Glance
- Tasks: Design and develop innovative AI solutions to transform healthcare with data science.
- Company: Join a forward-thinking team dedicated to responsible innovation in healthcare.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on continuous learning.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge data science and AI technologies.
- Qualifications: Proven experience in data science, strong programming skills, and expertise in machine learning.
The predicted salary is between 60000 - 80000 € per year.
About the Role
As a Senior Data Scientist, you will join a collaborative and highly skilled team that values strong technical foundations, thoughtful problem solving, and responsible innovation. From improving existing products to helping catalyse new data‑driven solutions, the team is constantly exploring how modern data science and generative AI can deliver measurable impact for healthcare providers.
Responsibilities
- Design and develop high‑quality, scalable analytics and AI solutions, including machine learning models and generative AI applications.
- Apply advanced statistical modelling and modern data science techniques to solve complex high‑impact problems.
- Work closely with Engineering, Product and Business stakeholders to embed data science solutions into production systems.
- Champion data science best practices across the organisation, from model governance and validation to responsible AI use.
- Review and contribute to production‑level code, ensuring quality, consistency and adherence to development standards.
- Keep up to date with emerging technologies and techniques to drive continuous innovation.
- Mentor and support junior data scientists and analysts, fostering technical growth and consistent workflows.
- Translate complex analytical insights into clear, actionable recommendations for technical and non‑technical audiences.
Required Qualifications
- Significant hands‑on experience as a data scientist with a strong track record of delivering measurable business or product impact.
- Degree in a computational or quantitative discipline such as Data Science, Statistics, Engineering, Mathematics, Physics or a related field.
- Strong programming skills in Python or R, with solid experience using SQL and working with relational and large‑scale data sets.
- Deep expertise in statistical modelling and machine learning, with practical experience taking models into production.
- Experience designing and applying generative AI solutions, including working with large language models (LLMs) and prompt engineering.
- Familiarity with data visualisation tools such as Tableau, Power BI, Qlik or similar.
- Experience working in cloud environments, ideally Microsoft Azure, with an understanding of modern data platforms.
- Strong understanding of MLOps practices, including versioning, monitoring and automated deployment pipelines.
- Experience working in Agile, CI/CD‑driven engineering environments and using ALM and source control tools such as Jira, Azure DevOps, Git.
- Excellent communication skills, with the ability to explain complex ideas clearly and adapt messaging to different audiences.
- Proactive, self‑motivated approach with confidence to influence, collaborate and continuously improve technical processes.
- Experience working with healthcare, medical or claims data is highly desired.
Senior Data Scientist employer: The Craneware Group
As a Senior Data Scientist at our company, you will thrive in a dynamic and inclusive work environment that prioritises innovation and collaboration. We offer competitive benefits, continuous learning opportunities, and a strong commitment to employee growth, all while making a meaningful impact in the healthcare sector through cutting-edge data science and AI solutions. Join us in a location that fosters creativity and professional development, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. 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 best projects, especially those involving machine learning and generative AI. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science interview questions. Be ready to discuss your past projects and how they delivered measurable impact—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with Python, SQL, and any relevant healthcare data projects to stand out.
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 match the Senior Data Scientist role. Highlight your hands-on experience with data science, machine learning, and any relevant projects that showcase your impact in previous roles.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Mention specific projects or technologies you've worked with that align with our focus on healthcare and generative AI.
Showcase Your Technical Skills:Don’t shy away from detailing your programming skills in Python or R, and your experience with SQL. We want to see how you've applied statistical modelling and machine learning in real-world scenarios, so include examples where possible.
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 gives you a chance to explore more about our culture and values!
How to prepare for a job interview at The Craneware Group
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python or R, SQL, and machine learning. Be ready to discuss your past projects and how you've applied advanced statistical modelling to solve real-world problems. This is your chance to showcase your expertise!
✨Showcase Collaboration Skills
Since the role involves working closely with Engineering, Product, and Business teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve embedded data science solutions into production systems and how you communicated complex insights to different audiences.
✨Stay Current with Trends
Keep yourself updated on the latest trends in data science and generative AI. Mention any emerging technologies or techniques you've been exploring and how they could apply to the healthcare sector. This shows your proactive approach and commitment to continuous innovation.
✨Prepare for Practical Assessments
You might face practical coding assessments or case studies during the interview. Practice reviewing and contributing to production-level code, and be ready to discuss MLOps practices. Familiarise yourself with Agile methodologies and tools like Jira or Azure DevOps to demonstrate your readiness for a CI/CD-driven environment.
