IN_Senior Associate_Data Science_ Data and Analytics_Advisory_Banaglore

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & summary: We are looking for experienced  Data Scientists  to build  AI-powered, data-driven solutions  with a focus on  Generative AI and Agentic AI systems . ⚠️   Key Requirement:  Strong  Data Science and traditional Machine Learning foundations are essential and equally important as GenAI & Agentic expertise.  We value professionals who can combine  statistical rigor with modern AI techniques  to deliver real business impact. Responsibilities

Work with structured, semi-structured, and unstructured data

Perform data cleaning, transformation, and feature engineering

Build and validate  statistical and ML models

Apply techniques such as:

Regression, classification, clustering

Time series forecasting

Design and analyze experiments (A/B testing, hypothesis testing)

Develop  LLM-powered and agentic AI solutions

Implement  RAG, prompt engineering, and multi-agent workflows

Integrate AI systems with enterprise data and APIs

Write clean, production-quality code ( Python, SQL )

Communicate insights to business stakeholders

Collaborating with cross-functional teams

🚀  Core Focus: Data Science + GenAI + Agentic AI Build  LLM-powered applications and agentic workflows

Develop reasoning, planning, and tool-using AI agents

Integrate LLMs with enterprise data (structured + unstructured)

Evaluate and improve AI outputs for  accuracy, reliability, and safety

✅   Equally Critical: Strong grounding in  statistics, ML algorithms, and forecasting

Ability to apply  traditional ML approaches alongside GenAI

Ensuring  model robustness and business relevance  through DS fundamentals

Hands on  experience in  SQL including  CTE  .

Strong experience in  SQL, forecasting, and large-scale datasets

Proven ability to deliver  business impact

✅  Required Qualifications

Core DS & ML:  Regression, Trees, Clustering, Forecasting & other ML & DL models

Statistics:  Hypothesis Testing, Experimentation (DOE)

GenAI & Agentic AI:  LLMs, RAG, Prompt Engineering

Programming:  Python, SQL

Big Data: Spark/Hadoop (preferred)

Tools: GitHub, PowerPoint

📈  Role Levels Decision Scientist (2–3 yrs):  Supports modeling, analysis, and AI workflows

Senior Decision Scientist (4–6 yrs):  Owns end-to-end ML/AI solutions

Lead Decision Scientist (7+ yrs):  Drives strategy and high-impact initiatives

Mandatory Skill sets: Strong Data Science & Traditional ML expertise

Generative AI & Agentic AI experience

Strong  SQL and Time Series Forecasting experience

Preferred Skill sets: Domain experience in retail, supply chain, demand forecasting, or CPG analytics.

Strong interest in emerging areas such as Generative AI or AI-driven forecasting automation.

Exposure to cloud ecosystems (AWS, Azure) including data engineering components like Glue, Data Factory, Lambda, Databricks, or Synapse.

Years of experience required: 3–7+ years  in Data Science / Machine Learning / Analytics Education qualification: Bachelor’s/ Master’s in Data Science , Statistics, Computer Science, Engineering, or related field

Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Required Skills Data Science, Machine Learning Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more} Desired Languages (If blank, desired languages not specified)

Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date April 15, 2026