IN_Senior Associate_Data Scientist_Data and Analytics_Advisory_Bangalore

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 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. * 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 hiring Data Scientists across multiple specialization tracks to build data ‑ driven, ML ‑ powered solutions that deliver measurable business impact .

Depending on the role, you will work across modeling, deployment, visualization, AI systems, or user experience while partnering closely with engineering, product, and business teams . Mandatory Skill : 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 product stakeholders 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 workflows using LLMs Develop reasoning, planning, tool ‑ using AI agents Integrate LLMs with 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 dashboards using 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 analytics for 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 and front-end teams Design data ‑ heavy applications , dashboards, and workflows Apply user research and usability principles to analytics products Improve adoption of ML solutions through better UX Mandatory skill set s: 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