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Business consulting · Unknown · Evanston, US
Hiring: Engineering
What employees say
+ i like the company and the environment
− there are no cons as such
More reviews on the company profile.
Interview experience · Data Science Intern
it was chill . there were 2 rounds , technical and hr technical lasted 1 hr and hr was shorter 45mins i sat through oncampus recruitment asked questions based on cv, guesstimates
Easy difficulty · Mumbai · 5 reports
More interview insightsJob description
Overview
ZS is a place where passion changes lives.
Responsibilities
- Develop and implement digital twin architectures for patient modeling, using structured and unstructured patient data.
- Research novel AI and translate it into innovative new approaches
- Provide SME support to other project and engineering teams
- Work closely with AI clients on their solutions both on AI engagements and as part of a broader engagements
- Lead or contribute to research initiatives targeting innovation in patient simulation, precision medicine, and virtual clinical trials.
- Stay abreast of emerging AI and healthcare trends; contribute to thought leadership through publications, patents, or conference presentations.
- Mentor junior AI team members on their technical skills and expertise
- Help grow the AI EC to build an amazing team of deep AI experts
Qualifications
- 5+ years of experience building and deploying AI/ML solutions
- Bachelor's Degree or higher in AI, Data Science, Computer Science or related major
- Proven expertise developing patient predictive models or patient digital twins. Experience with digital twin platforms preferred
- Experience with deep learning frameworks (TensorFlow, PyTorch) and strong programming skills in Python.
- Solid understanding of GANs, diffusion models, CNNs, and Transformers for real-world data applications.
- Hands-on experience with healthcare data (EHR, EMR, claims, genomic, imaging, or sensor data).
- Research or publication experience in AI for health / patient modeling domains.
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
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Job application FAQ
Last updated 14 October 2026
- How do I apply for Senior Lead AI Scientist at ZS?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. ZS may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Lead AI Scientist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Lead AI Scientist remote or on-site in Gurugram, Haryana (+2 others)?
- This listing is marked hybrid with location Gurugram, Haryana (+2 others). Confirm details on the job description before applying.
- What skills matter for this Senior Lead AI Scientist role at ZS?
- This is a lead Senior Lead AI Scientist role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.