At a Glance
- Tasks: Lead AI/ML projects and mentor junior team members while developing innovative solutions.
- Company: Kainos, a forward-thinking company focused on enhancing Workday products.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by developing cutting-edge AI/ML solutions in a collaborative environment.
- Qualifications: Experience in data science, AI/ML, and strong collaboration skills required.
The predicted salary is between 63000 - 77000 £ per year.
Kainos is seeking a Senior Data Scientist for its Workday Products division.
You will develop AI/ML solutions that enhance the Workday product suite and work on end-to-end design, development, and deployment in production environments.
Responsibilities include leading projects, mentoring junior team members, and collaborating with peers to implement ML across cloud platforms while delivering clear visual insights using Dash or Streamlit.
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Senior Data Scientist — Workday AI/ML Solutions employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — Workday AI/ML Solutions
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We think you need these skills to ace Senior Data Scientist — Workday AI/ML Solutions
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Stryker Corporation
✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
