Data Science Associate Consultant null

About ZS India 

ZS is transforming global healthcare by driving toward a connected ecosystem. They leverage the power of data, science, and technology to make more intelligent healthcare decisions and deliver innovative solutions to improve health outcomes for all. They apply industry expertise, leading-edge analytics, technology, and strategy to bring bold ideas to life. Their commitment to ethics is what makes ZSers confident in themselves and the impact they build with integrity.

Your role

Data Science Associate Consultants (DSACs) 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. The responsibilities include:

• 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;
• Evaluate emerging datasets and technologies that may contribute to the analytical platform;
• Participate in the development of select assets/accelerators that create scale;
• Contribute to thought leadership through research and publication support;
• Guide and mentor Associates on teams.

Training & development

The solutions they bring to the clients are steeped in deep expertise. Come with your love of learning, entrepreneurial spirit, and collaborative nature. ZS will provide the opportunities, coaching, and hands-on experiences that enable you to explore your passion and make an impact. ZSer's are value-focused in every way. Treat people right. Get it right. Do the right thing. These principles are the foundation for every decision they make. Regardless of level, tenure, or background, the people here feel supported by a diverse community of colleagues with a shared enthusiasm for challenging the status quo.

Salary & benefits

The average annual salary for this role will range from INR 12.0 to 13.0 LPA (Source: glassdoor).  ZS provides the following benefits.

• Cafeteria
• Gymnasium
• Work From Home
• Health Insurance
• Free Transport
• Team Outings
• Soft Skill Training
• Job Training
• Education Assistance
• Free Food
• Child care
• International Relocation

Career progression

The solutions they bring to the clients are steeped in deep expertise. Come with your love of learning, entrepreneurial spirit, and collaborative nature. ZS will provide the opportunities, coaching, and hands-on experiences that enable you to explore your passion and make an impact. ZSer's are value-focused in every way. Treat people right. Get it right. Do the right thing. These principles are the foundation for every decision they make. Regardless of level, tenure, or background, the people here feel supported by a diverse community of colleagues with a shared enthusiasm for challenging the status quo.

Work-life balance

Work days are usually from Monday to Friday. They have flexible work timings. The work-life balance is considered to be good depending on the project. They have a good working environment as well. 

Culture & vibe

Every year, ZS consistently rate “the people” and “the collaborative working style” as top drivers of engagement. A supportive community, trust and empowerment, humility, innovation, and a quest for continuous improvement are a few of the hallmarks that underpin culture.

ZS celebrate the visible and invisible elements of identities, personal experiences, and belief systems. The ones that comprise us as unique individuals and shape who the company are. Collectively, these elements foster collaboration, drive innovation, and lead to greater client impact.

About you

To apply for this role, you must have the following eligibility criteria:

• PhD degree in Computer Science, Statistics, or related discipline, and strong academic performance with analytic and quantitative coursework is required;
• In lieu of a PhD, 3-5 years of relevant post-collegiate work experience;
• Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modelling, etc.);
• Knowledge of programming (e.g. Java/Python/R);
• Exposure to tools/platforms (e.g. Hadoop ecosystem and database systems);
• Agile project planning and project management skills;
• Relevant domain knowledge preferred; (healthcare/transportation/hi-tech/insurance);
• Excellent oral and written communication skills;
• Strong attention to detail, with a research-focused mindset;
• Excellent critical thinking and problem-solving skills;
• High motivation, good work ethic, and maturity.

How to apply

To apply for this role, simply click the “Apply on employer site” button on this page which navigates to the career site where the application can be submitted directly.

The hiring procedure generally varies according to the job.

• Aptitude Test (online).
• Group Discussion Round.
• Skills interview.
• Problem-solving interview.
• HR Interview Round