Line of Service Advisory Industry Sector Not Applicable Specialism Data Analytics AI Management Level Manager 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 In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis You will be responsible for developing and implementing data pipelines data integration and data transformation solutions 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 Position responsibilities and expectations Designing and building analytical DL ML algorithms using Python R and other statistical tools Strong data representation and lucid presentation of analysis modelling output using Python R Markdown Power Point Excel etc Ability to learn new scripting language or analytics platform Technical Skills required must have HandsOn Exposure to Generative AI Design development of GenAI application in production Solid understanding of RAG Vector Database Lang Chain and multimodal AI applications Robust understanding of deploying and optimizing AI application in production Strong knowledge of statistical and data mining techniques like Linear Logistic Regression analysis Decision trees Bagging Boosting Time Series and Non-parametric analysis Strong knowledge of DL Neural Network Architectures CNN RNN LSTM Transformers etc Strong knowledge of SQL and R Python and experience with distribute data computing tools IDEs Experience in advanced Text Analytics NLP NLU NLG Strong hands-on experience of end-to-end statistical model development and implementation Understanding of LLMOps ML Ops for scalable ML development Basic understanding of DevOps and deployment of models into production PyTorch TensorFlow etc Expert level proficiency algorithm building languages like SQL R and Python and data visualization tools like Shiny Qlik Power BI etc Exposure to Cloud Platform Azure or AWS or GCP technologies and services like Azure AI Sage maker Vertex AI Auto ML Azure Index Azure Functions OCR OpenAI storage scaling etc Technical Skills required Any one or more Experience in video image analytics Computer Vision Experience in IoT machine logs data analysis Exposure to data analytics platforms like Domino Data Lab c3 ai H2O Alteryx or KNIME Expertise in Cloud analytics platforms Azure AWS or Google Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI Google Gemini Understanding of Agentic AI Framework Lang Graph Auto gen etc Understanding of fine-tuning for pre-trained models like GPT LLaMA Claude etc using LoRA QLoRA and PEFT technique Proven capability in building customized models from open-source distributions like Llama Stable Diffusion Mandatory skill sets AI chatbots Data structures GenAI object-oriented programming IDE API LLM Prompts Streamlit Preferred skill sets AI chatbots Data structures GenAI object-oriented programming IDE API LLM Prompts Streamlit Years of experience required 8-12 Years Education qualification BE B Tech M Tech M Stat Ph D M Sc Stats Maths Education if blank degree and or field of study not specified Degrees Field of Study required Master Degree Bachelor Degree Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Data Engineering Generative AI Optional Skills Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services AWS Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System DBMS Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling 32 more Desired Languages If blank desired languages not specified Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date

📌 In Manager Data Scientist Gen Ai Data & Analytics Advisory Kolkata
🏢 PwC
📍 Kolkata