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

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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.

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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.

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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

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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

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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

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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

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Please click here to apply.