Data Science - Senior Consultant

As a Data Scientist with expertise in Gen AI, you will be required to have the following skills: - Agent Framework - RAG Framework - Chunking Strategies - LLMs - AI on cloud Services - Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision Your major duties and responsibilities will include: - Working with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions - Creating Proof of concepts (POCs) / Minimum Viable Products (MVPs), guiding them through to production deployment and operationalization of projects - Influencing machine learning strategy for Digital programs and projects - Making solution recommendations that balance speed to market and analytical soundness - Exploring design options to assess efficiency and impact, developing approaches to improve robustness and rigor - Developing analytical / modeling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) - Formulating model-based solutions by combining machine learning algorithms with other techniques such as simulations - Designing, adapting, and visualizing solutions based on evolving requirements and communicating them through presentations, scenarios, and stories - Creating algorithms to extract information from large, multiparametric data sets - Deploying algorithms to production to identify actionable insights from large databases - Comparing results from various methodologies and recommending optimal techniques - Developing and embedding automated processes for predictive model validation, deployment, and implementation - Working on multiple pillars of AI including cognitive engineering, conversational bots, and data science - Ensuring that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment - Leading discussions at peer review and using interpersonal skills to positively influence decision making - Providing thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; making impactful contributions to internal discussions on emerging practices - Facilitating cross-geography sharing of new ideas, learnings, and best-practices Required Qualifications: - Bachelor of Science or Bachelor of Engineering at a minimum - 6-9 years of work experience as a Data Scientist - A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project - Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) - Good hands-on skills in both feature engineering and hyperparameter optimization - Experience producing high-quality code, tests, documentation - Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks - Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies - Proficiency in statistical concepts and ML algorithms - Good knowledge of Agile principles and process - Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team - Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results - Self-motivated and a proactive problem solver who can work independently and in teams You will have the opportunity to work with one of the Big 4's in India. As a Data Scientist with expertise in Gen AI, you will be required to have the following skills: - Agent Framework - RAG Framework - Chunking Strategies - LLMs - AI on cloud Services - Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision Your major duties and responsibilities will include: - Working with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions - Creating Proof of concepts (POCs) / Minimum Viable Products (MVPs), guiding them through to production deployment and operationalization of projects - Influencing machine learning strategy for Digital programs and projects - Making solution recommendations that balance speed to market and analytical soundness - Exploring design options to assess efficiency and impact, developing approaches to improve robustness and rigor - Developing analytical / modeling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) - Formulating model-based solutions by combining machine learning algorithms with other techniques such as simulations - Designing, adapting, and visualizing