Deal Data Technology & Analytics, Senior Associate

Senior Associate – Deals Management (Data & Analytics) 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 Deals; 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. Responsibilities Analyze complex problems and provide actionable insights. Automate repetitive data preparation, cleansing, and reporting tasks using AI‑assisted pipelines and low‑code/no‑code tools. Leverage data visualization tools and programming languages. Apply Generative AI tools for rapid data synthesis, drafting, and insight generation across various stages of a deal. Build and maintain scalable data pipelines and analytics workflows using platforms such as Databricks to accelerate due diligence, integration, and value‑creation analytics. Develop and implement machine learning models for transaction risk assessment, customer churn prediction, synergy estimation, and financial performance forecasting. Work with Private Equity deal teams to design and execute analytics solutions that drive investment decisions, operational improvements, and portfolio value creation. Communicate effectively with business stakeholders and technologists. Mentor and guide junior team members. Build and nurture meaningful client relationships. What You Must Have Bachelor’s Degree in Computer Science, Data Processing/Analytics/Science, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, or Engineering. Three years of experience in the data and technology space. What Sets You Apart Master’s Degree preferred. Proficient in programming languages such as SQL, Python or R, with experience in machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn) and natural language processing tools (spaCy, HuggingFace Transformers). Familiarity with data engineering pipelines (Azure Synapse Analytics, dbt, Apache Airflow) and AI/ML platforms such as Databricks, including experience with collaborative notebooks and scalable data processing. Experience using Generative AI platforms (OpenAI API, Azure OpenAI, Claude, Google Gemini) for business process enhancement and insight generation. Experience integrating analytics with cloud‑native AI services (AWS SageMaker, Azure ML, Google Vertex AI). Consulting industry experience. Certifications in database programming or data visualization (Databricks, MS SQL Server, PowerBI, Tableau). Experience with relational database models and writing Python/SQL queries. Proficiency with data storytelling conveying insights to senior stakeholders. Ability to prototype and iterate rapidly using modern analytics and AI tools, balancing speed with rigor. Certifications in cloud technology platforms (AWS, Azure, GCP); predictive modeling or machine learning platforms (Python, SAS). Proven track record of deploying AI/ML solutions in live business environments, ideally in M&A or transaction contexts. Understanding of key financial statements and accounting principles. Critical thinking and problem‑solving capabilities. Ability to navigate multiple engagements and competing priorities. Compensation Salary range: $77,000 – $202,000. Actual compensation within this range will depend on the individual's skills, experience, qualifications, location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. Benefits PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. Travel Requirements Up to 20% travel. Equal Opportunity Employer PwC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex (including pregnancy, sexual orientation, and gender identity), age, disability, genetic information, veteran, marital or citizenship status, or other status protected by law. PwC does not intend to hire applicants who will need sponsorship through the H‑1B lottery, except as set forth in the following policy: For more information about how we work: For job opportunities: For a broad overview of benefits: #J-18808-Ljbffr