Business Consulting Digital Strategy: Data Modeler

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

>> Role & Responsibilities

o   Design reliable, scalable, highly available ML solutions.

o   Formulate model-based solutions by utilizing machine learning, optimization, and simulation techniques.

o   Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.

o   Ability to pick up domain knowledge through discussions with client, business counterparts, internal/external literature, and utilize it to develop solutions and ML models. Analyze scenarios across various industries and understand business objectives

o   Perform literature survey to determine best applicable techniques machine learning and modeling techniques. Simplify and present solutions and ideas.

o   Make a business case for utilizing machine learning; articulate, visualize and present insights from the models in business terms familiar to customers; confidently provide recommendations to management; write presentations, reports, and working papers in power point, word, or excel.

o   Work with multiple business/functions and industry verticals to create proof of concepts (POCs)/Minimum Viable Products (MVPs) etc. and guiding customers through to production deployment and operationalization of projects.

o   Work independently with business stakeholders and senior leaders along with a cross-functional team

o   Lead, mentor, and direct cross functional teams comprising data scientist, data engineers, business analysts, and quality analysts.

o   Manage client interactions, project and scope negotiations, and resource management on an ongoing basis; manage conflicts and tradeoffs

o   Spot opportunities for business development with existing and new clients and work on proposals (with machine learning and business lens); communicate ideas effectively while making a strong business case

>> The Individual

o   Hands-on experience and expertise in python and various ML libraries to develop machine learning models and extensive data wrangling; machine learning and MLOPs experience on Azure, AWS, or GCP; good understanding of utilizing compute clusters, instances, and databricks.

o   Deep understanding of MLOps and machine learning lifecycle from data cleaning, feature engineering, model development, experimentation, deployment, and monitoring.

o   Demonstrable implementation of machine learning algorithms to solve business problems.

o   Good grasp of programming in python, experience of data structures, algorithms, and OOPS concepts.

o   Ability to translate and structure and design model-based solutions based on vague business problems is a must have.

o   Managed and worked on ML projects with scrum/agile framework and methodology with experience in planning, resourcing, scheduling, and project reporting.

o   Led and managed cross functional data science teams on a day-to-day basis; created long term and short-term plans

o   Managed direct interactions with clients and customer individuals including negotiations and conflicts

o   Ability to visualize, analyze, validate, and articulate results using power point, excel, and/or word documents.

o   Open to exploring new tools and techniques for implementation

o   Strong problem solving and logical approach skills

o   Excellent written and verbal communication skills; Strong communication, interpersonal, and report writing skills

o   Ability to work well in teams; mentor others and learn from team members with equal openness and enthusiasm

o   Ability to work under pressure – stringent deadlines and tough client conditions which may demand extended working hours

o   Willingness to travel within India or abroad for project/assignments.

o   Demonstrate integrity, values, principles, and work ethic and lead by example

Good-To-Have Skills:

• Understanding of mathematical programming, linear and non-linear programming, scheduling & optimization algorithms and simulations is a plus.
• Certifications on cloud technologies is a plus
• Demonstrated understanding of different domains such supply chain, finance, operations, sales, and marketing would be a nice to have.

Client Relationship Building And Management:

• Establish and sustain long-term profitable client relationships that drive value creation, delivery excellence and a positive client work environment.
• Leads the client lifecycle from initial contact through delivery.
• Manages client expectations and client satisfaction. Acts as an advisor and partner to the client.
• Works with the client to minimize delivery disruptions and effectively manages client urgencies.
• Clearly communicate and explain concepts to senior stakeholders and key teams during sprint reviews and other program meetings

Skills

·      Python

• ML and visualization Library ecosystem in Python
• Deep understanding of ML Algorithms and their nuances
• Data cleansing and wrangling in python and MS excel

·      Feature Engineering

• Model development in either Azure, AWS, or GCP
• Extraction, Transformation and Loading
• Relational database and SQL language

·      Analytics Development

·      Report Development

>> Qualification

o   Degrees in computer science, industrial engineering, statistics, mathematics, machine learning or related fields

o   Must have studied subjects like machine learning, NLP, operations research, statistical analysis, and optimization techniques

o   5+ years of hands-on development experience with Python and 2+ years of machine learning experience on AWS, Azure, or GCP

o   Experience in stakeholder interaction, solutioning, and independently managing client-facing projects

>> Selection Process

o   Candidates should expect up to 3 rounds of telephonic or face-to-face interviews to assess technical knowledge, fitment, and communication skills

>> Criteria

• o   Education 60% above throughout academic.
• o   Machine Learning certifications would be a plus
• o   Relevant Experience: 5+ years

Equal employment opportunity information 

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.