IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore

PwC is hiring an IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore. Level rates it ; you can apply on PwC.

Level's read on this job

Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include PyTorch, TensorFlow and Keras.
Level lists 3,800+ other open roles at PwC.
The role was posted in the last few days.

AI in this role

Data Scientist manager responsible for statistical modeling, machine learning, and deep learning solutions.

pytorchtensorflowkeraspythonrsqlhivepigscalajavac

prompt-engineeringml-opsnlpmachine-learningstatistical-modelingdeep-learningdata-science

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

*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. "

Responsibilities:

Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.

Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc.

Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras).

Ability to perform preprocessing of structured and unstructured data: Processing, cleansing, and validating the integrity of data to be used for analysis.

Strong working experience with cloud platforms: build, train, and deploy ML Models on Azure/AWS/GCP.

Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.).

Hand-on experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes).

Adaptation of foundation models/LLMs to address specific business challenges.

Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment.

Design, deploy and manage prompt-based models on LLMs for various NLP tasks.

Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.

Familiarity with LLM orchestration and agentic AI libraries.

Good understanding of business and ability to translate domain problems to data science problem.

Ability to communicate effectively with both technical and non-technical stakeholders.

Mandatory skill sets:

Python, GenAI ,Machine learning, data science

Preferred skill sets:

Data analysis, SQL, MLOPS

Years of experience required:

1-9 years

Education qualification:

BE/B.Tech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

JavaScript Object Notation (JSON)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity {+ 46 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

November 12, 2026

How we rate this

IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore at PwC rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

IN_Manager_Data Scientist_GCC_ Advisory_ Bangalore is an open job at PwC.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Bengaluru Millenia.
The job was posted on October 29, 2026.
Seniority: mid.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringML OpsNLPMachine learningStatistical ModelingDeep learningData SciencePyTorch

Also common in data scientist jobs at this level

Spark RAG scikit-learn AI agents LangChain Databricks

Pay

Typical data scientist job: $167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How do you monitor a model once it's live, and how do you know it needs retraining?
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where statistical modeling was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, ML Ops, NLP, Machine learning, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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