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PwC India is hiring for a Associate Data Scientist role in India




Position:

  • Data Scientist (Associate 2)

  • Entry-level position ideal for individuals with 2+ years of experience

  • Focused on analytics consulting, advanced machine learning, and business decision support

  • Requires proficiency in analytical modeling, data processing, and stakeholder collaboration

Company:

  • PwC Acceleration Center India

  • Part of the global PwC network with a presence in 157 countries

  • Operates as a professional services firm offering assurance, advisory, and consulting services

  • Known for technology-enabled solutions, innovation, and people-first culture

Location:

  • India (specific roles may be located in Kolkata, Bangalore, Hyderabad, or Mumbai)

  • Collaboration with teams based in the United States

Job type:

  • Full-time permanent role

  • Client-facing with consistent opportunities to work on global engagements

Job mode:

  • Onsite with collaboration with US-based stakeholders

  • Requires flexible timing to work across time zones depending on project requirements

Job requisition id:

  • 643652WD

Years of experience:

  • Open to candidates with 2+ years of experience

  • Hands-on experience preferred in analytics, machine learning, and data science platforms

Company Description:

  • PwC Acceleration Center India is part of the PwC global network, with delivery centers in Bangalore, Kolkata, Hyderabad, and Mumbai.

  • The Acceleration Centers are designed to support PwC’s global operations by offering high-quality services in consulting, analytics, digital transformation, and more.

  • These centers act as global hubs where talent and innovation intersect, allowing professionals to work with international teams while contributing to strategic business objectives.

  • At the core, the centers aim to unlock opportunities by combining deep domain expertise with cutting-edge technologies.

  • The India centers are deeply integrated with PwC U.S., playing a critical role in scaling consulting capabilities and client service delivery across the board.

  • With a commitment to continuous learning, global exposure, and career growth, PwC offers an environment where early-career professionals can thrive and develop their careers in data and analytics.

Profile Overview:

  • The Associate 2 role within PwC’s Analytics Consulting practice involves working closely with U.S.-based clients and internal teams.

  • You will be responsible for extracting insights from data using various tools, platforms, and algorithms to influence business decisions.

  • The role includes planning and executing analytical projects, advising stakeholders, and guiding junior team members on best practices.

  • As an entry-level data scientist, you will be exposed to projects involving predictive modeling, prescriptive analytics, and statistical experimentation.

  • The position also includes involvement in building client presentations and storylines, validating project outcomes, and ensuring deliverable integrity.

  • Ideal for individuals looking to gain hands-on experience across end-to-end analytics projects while working in a globally integrated environment.

Qualifications:

  • Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, Statistics, Economics, or related fields

  • Acceptable degrees include BE, BTech, MCA, MSc, ME, MTech, or MBA with a quantitative focus

  • Strong foundation in data science, statistics, machine learning, and analytical thinking

  • Previous internship or project work in analytics or machine learning is an advantage

  • A willingness to work in a client-facing role with an international stakeholder base

  • Capable of handling multiple tasks and collaborating in a high-performance team

  • Strong verbal and written communication skills are essential

Technical Skills Required:

Must Have:

  • Strong programming skills in Python or PySpark

  • Advanced SQL skills for querying structured and semi-structured datasets

  • Experience with machine learning libraries and tools such as:

    • scikit-learn

    • mlr

    • caret

    • H2O

    • TensorFlow

    • PyTorch

    • MLlib

  • Knowledge of statistical modeling techniques such as:

    • Bayesian Regression

    • Log-Log and Log-Linear models

  • Familiarity with both supervised and unsupervised learning

  • Experience working with deep learning and artificial neural networks

  • Hands-on experience with ML deployment platforms such as:

    • Azure ML

    • AWS SageMaker

    • Databricks

  • Data preparation, standardization, and cleansing for machine learning use cases

  • Visualization experience using tools like:

    • Tableau

    • Power BI

    • AWS QuickSight

Nice to Have:

  • Experience with containerization (e.g., Docker, Kubernetes, AWS EKS)

  • Familiarity with data pipeline orchestration tools like Apache Airflow

  • Prior exposure to enterprise cloud environments

  • Excellent communication and presentation abilities

Roles and Responsibilities:

  • Design and implement analytics plans for business problems in alignment with project leads

  • Collaborate with stakeholders in the U.S. to define datasets, data sources, and clarify analytical use cases

  • Develop predictive and prescriptive models to generate business insights

  • Validate results with stakeholders, ensuring alignment with business objectives

  • Guide and mentor junior team members in data analysis and modeling techniques

  • Maintain rigorous quality control standards for all deliverables

  • Lead client presentations and internal knowledge-sharing sessions

  • Participate in firm-wide activities including internal training, mentorship, and capability development

Additional Info:

  • The role offers a structured learning path and access to global methodologies and frameworks

  • You’ll be working on real business problems with global clients in domains such as retail, finance, healthcare, and more

  • PwC provides ongoing mentorship, certifications, and internal training programs

  • Collaboration with U.S.-based teams will expose you to international consulting norms and client expectations

  • Employees are encouraged to contribute to the firm’s culture of continuous improvement

  • Flexibility is essential, especially for teams working across multiple time zones

  • Regular performance reviews, growth mapping, and transparent feedback mechanisms are built into the system

  • The opportunity to grow into senior roles within 2–3 years based on performance and learning


Please click here to apply.



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