IN-Senior Manager_ Data Scientist (AI/ML) __ Data & Analytics _ Advisory _Gurgaon

Job description

**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)* 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** Ac