Technology Consulting-DP Data Science Senior

About KPMG 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.

Must Have:

1. AI / ML Hands-on experience in implementing Solution in Python
2. Supply Chain Analytics project experience.
3. Either Core OR project implementation or experience in implementing Causal AI models.