IN_Manager_Data Scientist_D&A_Advisory_Mumbai job opportunity at PwC.

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DatePosted 25 Days Ago bot
PwC IN_Manager_Data Scientist_D&A_Advisory_Mumbai
Experience: 10-years
Pattern: full-time
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degreeBachelor's (B.A.)
loacation Mumbai Shivaji Park, India
loacation Mumbai Shivaji..........India

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 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. 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 :   7 —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: Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science 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, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 40% Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

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