ZS is hiring for a FRESHER entry level Data Science Associate role in India

Position:

• Advanced Data Science Associate

• Entry level role designed for fresh graduates and early career professionals

• Part of the Insights and Analytics function

• Focused on applied data science and statistical problem solving

• Client facing analytical position with exposure to real business problems

• Suitable for candidates starting a career in analytics or data science

Company:

• ZS

• Global management consulting and technology organization

• Known for analytics driven decision making

• Works closely with healthcare and life sciences clients

• Combines consulting expertise with advanced technology solutions

• Strong emphasis on impact driven outcomes

Location:

• Bengaluru, India

• Gurgaon, India

• Noida, India

• Pune, India

• Multiple office locations across India

• Candidate may be aligned to one primary office

Job type:

• Full time employment

• Permanent role

• Client oriented consulting position

• Long term career opportunity

Job mode:

• Hybrid working model

• Combination of office presence and remote work

• Expected to work onsite three days per week

• Remote flexibility available for two days per week

• Client site visits as required

Job requisition id:

• 24123

Years of experience:

• Freshers encouraged to apply

• Zero to three years of relevant experience (0-3)

• Strong academic background preferred

• Practical exposure through projects or internships considered

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Company description

• ZS operates as a global consulting and technology firm with a mission centered on improving lives through better decision making

• The organization blends data, science, technology, and human creativity to convert ideas into measurable outcomes

• ZS works extensively with healthcare, life sciences, and consumer focused organizations to support growth, innovation, and efficiency

• Teams at ZS collaborate closely with clients to understand complex challenges and design tailored solutions rather than generic frameworks

• The company culture promotes curiosity, continuous learning, and ownership of outcomes

• Employees are encouraged to bring fresh perspectives and challenge conventional thinking

• ZS emphasizes ethical responsibility, inclusion, and respect for individual identities and experiences

• Collaboration lies at the core of how teams function, with cross functional experts contributing from consulting, analytics, and technology backgrounds

• The organization invests heavily in learning platforms, structured training programs, and career development initiatives

• ZS aims to create a workplace where analytical rigor and human empathy coexist to drive meaningful change

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Profile overview

• The Advanced Data Science Associate role is crafted for individuals who want to apply analytical thinking to real world business and social problems

• Associates work on multiple client engagements, gaining exposure to diverse datasets, industries, and analytical techniques

• The role involves building statistical and machine learning models that support strategic and operational decisions

• Associates are expected to translate complex analytical outputs into clear insights that stakeholders can act upon

• Daily work includes collaborating with consultants, data scientists, and technology teams

• The position offers early responsibility, allowing individuals to contribute meaningfully from the start

• Exposure includes problem formulation, data exploration, modeling, validation, and communication of results

• Associates support senior team members while gradually building independence and ownership

• The role provides a strong foundation for long term growth in analytics, consulting, or data science leadership paths

• Continuous feedback and mentorship help associates sharpen both technical and professional skills

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Key responsibilities and work expectations

Analytical development and modeling

• Design and develop statistically sound algorithms that can handle large and complex datasets

• Apply methods suitable for high dimensional data and multi variable problems

• Use hypothesis testing to validate assumptions and findings

• Build predictive and descriptive models using machine learning techniques

• Support development of recommender systems and text based analytics when needed

• Ensure analytical solutions are efficient, scalable, and interpretable

Data exploration and insight generation

• Perform deep data exploration to identify trends, patterns, and anomalies

• Use data mining approaches to extract meaningful insights from structured and unstructured data

• Create visual representations that simplify complex findings

• Evaluate data quality and relevance before modeling

• Interpret results in the context of business objectives

Client and stakeholder collaboration

• Work closely with ZS consultants and client teams to understand problem statements

• Participate in discussions to align analytical work with client expectations

• Communicate findings clearly to both technical and non technical audiences

• Support presentations and documentation with data driven evidence

• Adapt communication style based on stakeholder needs

Platform and technology contribution

• Assist in evaluating new datasets that could enhance analytical solutions

• Contribute to discussions around emerging analytical tools and technologies

• Support continuous improvement of internal analytics platforms

• Learn and apply best practices related to data security and compliance

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Qualifications

• Master’s degree in computer science, statistics, mathematics, engineering, or a related quantitative field

• Strong academic record with emphasis on analytical and problem solving coursework

• Solid understanding of statistical concepts and probability theory

• Exposure to machine learning fundamentals such as regression, classification, and clustering

• Familiarity with algorithms used in predictive modeling and pattern recognition

• Proficiency in at least one programming language such as Python, R, or Java

• Basic understanding of data structures and algorithms

• Awareness of big data concepts and distributed computing principles

• Experience or academic exposure to tools within the Hadoop ecosystem

• Familiarity with cloud platforms such as Amazon Web Services

• Understanding of relational databases and data querying concepts

• Ability to read, write, and communicate fluently in English

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Learning and growth opportunities

• Structured onboarding programs designed for early career professionals

• Continuous skill development through internal learning platforms

• Access to milestone based training aligned with career progression

• Exposure to cross functional projects that build both technical and consulting skills

• Clear growth paths that allow movement across roles and functions

• Opportunities to explore individual contributor and leadership tracks

• Regular feedback and mentorship from experienced professionals

• Support for long term career planning and goal setting

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Hybrid working model

• ZS follows a flexible and connected approach to work

• Employees spend part of the week working from ZS offices or client locations

• Remote work is supported for a portion of the week

• In person collaboration is encouraged to strengthen teamwork and innovation

• Flexibility allows employees to balance productivity with personal commitments

• Teams plan schedules to maintain strong client engagement

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Perks and benefits

• Health and wellness programs supporting physical and mental well being

• Financial planning and benefits aligned with long term security

• Generous leave policies to support rest and personal needs

• Professional development resources for continuous learning

• Internal mobility options allowing role and location changes

• Inclusive culture that values diversity and belonging

• Support networks and community groups within the organization

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Travel expectations

• Travel may be required for client facing projects

• Extent of travel depends on project and client needs

• Opportunities to work with teams across different regions

• Exposure to varied business environments and cultures

• Travel experience contributes to professional and personal growth

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Additional info

• ZS values diversity across visible and invisible dimensions of identity

• Personal interests and learning aspirations are respected and encouraged

• The organization supports inclusive communities through internal networks

• Equal employment opportunities are provided to all qualified candidates

• Employment decisions are made without bias toward protected characteristics

• Candidates must have or obtain work authorization for India

• Online application submission is mandatory for consideration

• Academic transcripts are required as part of the application process

• Agency applications are not accepted

• ZS encourages individuals eager to grow and contribute to apply

Please click here to apply.