Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& 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.
& 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 tocloud 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 TechnologyDegrees/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
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
