Line of Service Advisory Industry Sector Not Applicable Specialism Data Analytics AI Management Level Senior Associate 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 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 Responsibilities Design and implement scalable forecasting and predictive analytics models to solve complex business challenges across multiple domains Develop and optimize data models logical physical dimensional and semantic to support analytics ML and reporting use cases Work with large complex datasets from multiple sources cleansing transforming and preparing them for analytical consumption Build train and evaluate ML models using statistical and machine learning techniques to enhance accuracy performance and interpretability Collaborate with data engineers and cloud teams to integrate ML pipelines into AWS or Azure environments using modern ETL and orchestration tools Translate business objectives into technical data solutions and actionable insights through strong analytical reasoning and stakeholder communication Ensure data quality lineage and consistency through standardized data definitions metadata documentation and model versioning practices Continuously improve models through retraining drift detection and performance monitoring using MLOps best practices Required Skills and Experience Proven expertise in machine learning and statistical modeling for forecasting demand prediction or time-series analysis Solid data modeling skills across dimensional relational and semantic structures Advanced proficiency in Python for data wrangling feature engineering and ML model development Pandas NumPy Scikit-learn PyTorch TensorFlow preferred Intermediate SQL skills with experience writing efficient queries and optimizing database performance Strong analytical and problem-solving mindset with the ability to derive insights and communicate outcomes to technical and business stakeholders Mandatory skill sets Data Scientist Machine Learning Preferred skill sets Domain experience in retail supply chain demand forecasting or CPG analytics Strong interest in emerging areas such as Generative AI or AI-driven forecasting automation Exposure to cloud ecosystems AWS Azure including data engineering components like Glue Data Factory Lambda Databricks or Synapse Years of experience required -Experience Senior Associate - 4 to 7 years Education qualification B E B Tech MCA M Tech M E - Bachelor s degree in computer science information technology engineering information systems and 8 years experience in software engineering or related area at a technology retail or data-driven company Education if blank degree and or field of study not specified Degrees Field of Study required Bachelor of Technology Bachelor of Engineering MBA Master of Business Administration Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Data Science Machine Learning 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 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 Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date

📌 In Senior Associate Data Scientist, Machine Learning Data And Analytics Advisory Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru