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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes Your work will involve designing and optimising algorithms models and systems to enable intelligent decision-making and automation 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 setting 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 Solution Development Design and implement AI Gen AI powered solutions using LLMs eg Open AI Claude Gemini Llama3 Fine-tune AI generative AI models using Python and machine learning libraries Leverage Agentic AI frameworks such as CrewAI AutoGen and orchestrate interactions across vector DBs RAG pipelines APIs Should have experience in developing different ML models for Regression Classification Clustering and Time Series forecasting models as well Data Processing Manage and preprocess large datasets for training AI ML models ensuring clean efficient data pipelines for optimal performance Model Evaluation Evaluate and iterate on model performance applying techniques to improve accuracy robustness and efficiency Collaboration Work closely with other developers data scientists and product managers to define AI requirements integrate models into products and ensure the AI system meets business needs Optimization Optimize model performance for production environments focusing on scalability and computational efficiency Thought leadership Stay updated with the latest trends in generative AI contributing innovative ideas and applying cutting-edge research to development efforts Required skills experience Experience 5 years of professional experience with a focus on machine learning deep learning and 2 years in generative AI applications Python Expertise Advanced proficiency in Python with solid experience using machine learning and deep learning libraries such as TensorFlow PyTorch Keras and Scikit-learn Pandas Generative AI experience Hands-on experience with tools platforms like Open AI LangChain Hugging Face Vertex AI AWS Bedrock etc and frameworks such as LangGraph CrewAI Autogen Data Handling Experience working with large datasets including preprocessing cleaning and augmenting data for AI model training Model Deployment Knowledge of deploying machine learning models into production environments including familiarity with cloud services AWS GCP Azure and containerization tools e g Docker ML Algorithms Statistics Strong understanding of machine learning algorithms statistics and optimization techniques used in AI Version Control Proficiency in using version control systems such as Git for managing codebase and collaboration Problem Solving Strong analytical skills with the ability to tackle complex problems and devise efficient solutions in a fast-paced environment Communication Ability to clearly communicate technical concepts to both technical and non-technical stakeholders Project experience in Python PySpark SQL Familiarity with model interpretability and debugging tools Familiarity with reinforcement learning and its applications to generative models Experience working in Agile Scrum environments Experience with data visualisation tools such as D3 js GGplot etc Experience in other Visualization tools like Power BI Tableau Qlikview shall be added advantage Mandatory skill sets Senior Data Scientist Senior Gen AI Developer Preferred skill sets Senior Data Scientist Senior Gen AI Developer Years of experience required 4-10 Education qualification B tech MBA MCA MSC Education if blank degree and or field of study not specified Degrees Field of Study required MBA Master of Business Administration 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 AI Implementation Analytical Thinking C Programming Language Communication Complex Data Analysis Creativity Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Embracing Change Emotional Regulation Empathy GPU Programming Inclusion Intellectual Curiosity Java Programming Language Learning Agility Machine Learning 25 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 D&a Advisory Pan India (Bengaluru)
🏢 PwC
📍 Bengaluru