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- Tasks: Transform complex healthcare data into impactful solutions using advanced analytics and AI.
- Company: Join The Craneware Group, a leader in healthcare technology innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on responsible innovation and career advancement.
- Why this job: Make a real difference in healthcare while working with cutting-edge data science technologies.
- Qualifications: Experience in data science, strong programming skills, and a degree in a relevant field.
The predicted salary is between 60000 - 80000 ÂŁ per year.
At The Craneware Group, our Data Science team plays a critical role in shaping the future of healthcare technology. We work at the intersection of advanced analytics, machine learning, and AIâpartnering closely with Engineering, Product, and the wider business to turn complex healthcare data into meaningful, realâworld outcomes.
As a Senior Data Scientist, youâll join a collaborative, highly skilled team that values strong technical foundations, thoughtful problemâsolving, and responsible innovation. From improving existing products to helping catalyse new, dataâdriven solutions, the team is constantly exploring how modern data science and generative AI can deliver measurable impact for healthcare providers.
- Significant handsâon experience as a Data Scientist, with a strong track record of delivering measurable business or product impact
- A 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, alongside solid experience using SQL and working with relational and largeâscale 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
- A good understanding of MLOps practices, including versioning, monitoring, and automated deployment pipelines
- Experience working in Agile, CI/CDâdriven engineering environments and using ALM and source control tools (e.g. Jira, Azure DevOps, Git)
- Excellent communication skills, with the ability to explain complex ideas clearly and adapt messaging to different audiences
- A proactive, selfâmotivated approach with the confidence to influence, collaborate, and continuously improve technical processes
- Experience working with healthcare, medical, or claims data is highly desirable
Senior Data Scientist employer: Craneware
Contact Detail:
Craneware Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Scientist
â¨Tip Number 1
Network like a pro! Reach out to current employees at The Craneware Group on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
â¨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and generative AI. This will help you stand out during interviews.
â¨Tip Number 3
Practice makes perfect! Brush up on your technical skills, especially Python, R, and SQL. Consider mock interviews with friends or use online platforms to simulate the real deal.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your hands-on experience, programming skills in Python or R, and any relevant projects that showcase your expertise in statistical modelling and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at The Craneware Group. Donât forget to mention your experience with generative AI solutions!
Showcase Your Projects: If you've worked on any significant projects, especially those involving healthcare data or MLOps practices, make sure to include them. We love seeing real-world applications of your skills, so donât hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Itâs the best way for us to receive your application and ensures youâre considered for the role without any hiccups!
How to prepare for a job interview at Craneware
â¨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around statistical modelling and machine learning. Be ready to discuss how you've applied these in real-world scenarios, particularly in healthcare settings, as this will show your understanding of the industry.
â¨Showcase Your Technical Skills
Prepare to demonstrate your programming prowess in Python or R, and be ready to discuss your experience with SQL and large-scale datasets. You might even want to bring along a portfolio of projects that highlight your skills in generative AI and MLOps practices.
â¨Communicate Clearly and Confidently
Practice explaining complex ideas in simple terms. The interviewers will appreciate your ability to adapt your messaging for different audiences, so think about how you can convey technical details without overwhelming them.
â¨Be Ready for Problem-Solving Scenarios
Expect to tackle some practical problem-solving questions during the interview. Prepare by thinking through how you would approach real-world data challenges, especially those relevant to healthcare, and be ready to discuss your thought process.