Senior Data Scientist - AI and Machine Learning

IN-Senior Manager_ Data Scientist (AI/ML) __ Data & Analytics _ Advisory _Gurgaon Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior 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 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) Degre

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