IN-Senior Associate_ Data Scientist (AI/ML) __ Data & 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 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 – Senior Associate _ Da ta Scientist_ Advisory _ Mumbai Role Overview We are looking for a

BFSI Machine Learning professional with strong hands-on experience in

risk, fraud, underwriting, collections, and cross- sell modeling , along with exposure to

GenAI / LLM-based use cases . The role involves

end-to-end model development ,

client interaction , and

delivery ownership across large banking and insurance engagements.

Responsibilities Core ML & Analytics (BFSI)

• Develop and deploy

predictive and scorecard models , including:

• Cross-sell / up-sell propensity models
• Probability of Default (PD), LGD, EAD models
• Collections prioritization and recovery models
• Insurance underwriting scorecards
• Claims fraud detection and leakage analytics
• Apply ML/statistical techniques such as

Logistic Regression, GBM/ XGBoost , Random Forest, Neural Networks .

• Perform

feature engineering using transactional, bureau, behavioral, and alternate data.

• Conduct

model validation and stability monitoring (Gini, KS, PSI, CSI, lift, decile analysis).

GenAI / LLM Exposure

• Contribute to

LLM-enabled BFSI solutions , including:

• Automated credit / underwriting note generation
• Claims investigation summaries
• Risk and audit insight extraction
• Hands-on experience with

prompt engineering , embeddings, and

RAG-based architectures .

• Exposure to

Azure OpenAI, OpenAI API, AWS Bedrock, or open-source LLMs .

Cloud & Engineering

• Strong hands-on coding in

Python (pandas, numpy , sklearn , xgboost , SHAP).

• Experience on

at least one cloud platform :

• AWS (SageMaker, S3, Glue)
• Azure (Azure ML, Azure OpenAI, Data Factory)
• GCP (Vertex AI)
• Exposure to

model deployment, monitoring, and MLOps pipelines is a plus.

Client & Stakeholder Interaction

• Work closely with

client business, risk, fraud, and underwriting teams .

• Translate business requirements into

ML problem statements and solution designs .

• Support

client presentations , model documentation, and insights storytelling.

• Mentor junior analysts and ensure delivery quality.

Must-Have Skills

• 5–10 years of experience in

BFSI analytics / machine learning .

• Hands-on experience in

credit risk, fraud, underwriting, collections, or cross-sell modeling .

• Advanced proficiency in

Python .

• Working knowledge of

LLMs, GenAI, and prompt engineering .

• Experience with

cloud-based ML platforms .

• Strong

communication and stakeholder management skills .

Good-to-Have

• Experience in

Big-4 / Tier-1 consulting / captive BFSI analytics teams .

• Familiarity with

model governance, explainability, and regulatory expectations .

• Exposure to

Graph ML, alternate data, or agentic AI frameworks .

• Prior experience in

client-facing analytics transformation programs .

Mandatory skill sets: ML/ GenAI/LLM/BFSI

Preferred skill sets: ML/GenAI/LLM/BFSI

Years of experience required : 5—12 Years

Education qualification: B.E.( B.Tech )/M.E/ M.Tech

Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills Datasets

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 February 16, 2026