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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence engineering at PwC will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.
& Summary:
We are hiring Data Scientistsacross multiple specialization tracks to build data‑driven, ML‑powered solutionsthat deliver measurable business impact Depending on the role, you will work across modeling, deployment, visualization, AI systems, or user experiencewhile partnering closely with engineering, product, and business teams
MandatorySkill :Data Science & Agentic AI
Responsibilities
Work with structured, semi‑structured, and unstructured data
Perform data cleaning, transformation, feature engineering, and integration
Build and validate statistical and machine learning models
Apply techniques such as:
Regression, Classification, Clustering
Time Series Forecasting
Design and analyze experiments(A/B testing, hypothesis testing)
Write clean, modular, production‑quality code
Follow best practices (Git, code reviews, documentation)
Communicate insights through presentations, reports, and dashboards
Partner with business, engineering, and productstakeholders
Specialization Tracks (Any One or More)
1. Data Science +MLOps
Focus on productionizing and scaling ML models
Deploy models using Docker, APIs (Flask/FastAPI), or cloud services
Build and maintain ML pipelines
Implement model monitoring, performance tracking, and retraining strategies
Work with CI/CD, Airflow, Databricks, or cloud platforms(AWS/Azure/GCP)
Ensure model reliability, scalability, and governance
2. Data Science + Agentic AI( Mandatory)
Focus on LLM‑powered and autonomous AI systems
Build Agentic AI workflowsusing LLMs
Develop reasoning, planning, tool‑using AI agents
Integrate LLMswith enterprise data and APIs
Apply prompt engineering, RAG, and multi‑agent orchestration
Evaluate and improve AI responses, safety, and efficiency
3. Data Science + Power BI / Tableau
Focus on analytics, visualization, and business intelligence
Design interactive dashboardsusing Power BI / Tableau
Translate analytical models into decision‑ready visuals
Partner with stakeholders to define KPIs and metrics
Automate reporting and analytics workflows
Enable self‑service analyticsfor business teams
4. Data Science + UI/UX
Focus on data‑driven product and user experience design
Translate complex models into simple, intuitive user interfaces
Collaborate with UI/UX designers andfront-endteams
Design data‑heavy applications, dashboards, and workflows
Apply user research and usability principlesto analytics products
Improve adoption of ML solutions through better UX
Mandatory skill sets:
Gen AI, RAG, LLM, NLP, AI ML
Preferred skill sets
Agentic AI
Years of experience required
4-7 Years
Education qualification
B.E, B.Tech, M.Tech, M.E, MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Generative AI Agents, Gensim
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
June 25, 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.
