ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people.
Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide.
ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more.
Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS.
Our most valuable asset is our people.
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges.
Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.
ADVANCED DATA SCIENCE ASSOCIATE - INTERN
Advanced Data Science Associates (ADSAs) Interns help design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions.
At the end of the internship, interns are evaluated and considered for a full-time employment offer.
What You’ll Do
- Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
- Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information.
- Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings.
- Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform.
What You’ll Bring
- Advanced degree in Computer Science (or Statistics), and strong academic performance with analytic and quantitative coursework is required.
- Knowledge of big data / advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.).
- Knowledge of programming (e.g. Java / Python / R).
- Exposure to tools / platforms (e.g. Hadoop eco system and database systems).
- Excellent oral and written communication skills (fluency in English).
- Strong attention to detail, with a research-focused mindset.
- Excellent critical thinking and problem solving skills.
- High motivation, good work ethic and maturity.
Perks & Benefits :
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development.
Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients / ZS offices for the majority of our week.
The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.