Data Science - Consultant

Data Science + Gen AI with below mandatory skills.
Must to Have : 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 Exp Range - 4 to 6 years Work with one of the Big 4's in India Major Duties & Responsibilities •  Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions  •  Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects  •  Influence machine learning strategy for Digital programs and projects •  Make solution recommendations that appropriately balance speed to market and analytical soundness •  Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor  •  Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.
g., Python, R, TensorFlow) •  Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
•  Create algorithms to extract information from large, multiparametric data sets.
•  Deploy algorithms to production to identify actionable insights from large databases.
•  Compare results from various methodologies and recommend optimal techniques.
  •  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
•  Develop and embed automated processes for predictive model validation, deployment, and implementation  •  Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science •  Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment  •  Lead discussions at peer review and use interpersonal skills to positively influence decision making •  Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices •  Facilitate cross-geography sharing of new ideas, learnings, and best-practices  Required Qualifications •  Bachelor of Science or Bachelor of Engineering at a minimum.
•  4-6 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