Manager_ Advanced Analytics & ML _D&A_Advisory

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

• This is for an opening at the Manager level in the Data and Analytics division at PwC India. The role will be centered around Financial services domain. A successful candidate is expected to work pro-actively and effectively on multiple client engagements and take ownership of the entire project delivery. This includes having project management skills, technical and/or functional expertise, and commitment to comply with the PwC delivery quality expectation.
• Further, this role requires a candidate with strong interpersonal skills, who not only enjoys the challenge of working with other teams but externally with a variety of clients as well. Strong personal and professional presence and self-confidence, capable of working effectively with senior team as well as all other levels.
• The candidate will be required to showcase excellent communication skills and will have demonstrated consistently the skill and capability in delivering impactful and insightful projects in the past. He/she will also be required to participate in client meetings, understand the business needs and then design end to end machine learning and analytics solutions to fulfill those business needs.
• They will also be expected to contribute to practice or Firm development. This may be adjudged in various ways such as serving as a mentor to other team members, by leading training/development initiatives, contributing to thought leadership papers, and developing reusable assets.
• Detailed role and responsibilities are provided below
• Roles and Responsibilities
• Develop, Review and implement Solutions applying advanced analytics techniques including but not restricted to Machine Learning, Deep Learning, AI, NLP and Visualization
• Troubleshoot, isolate and remediate model errors.
• Work on and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies.
• Work with project leaders to analyse resource needs and gaps and devise alternative ways forward.
• Provide expert reviews for all projects within the assigned subject
• Ability to lead business development initiatives including responding to RFPs, preparation and delivery of client presentations with the objective of sales and business development.
• Ability to manage cross functional teams and mentor junior team members
• Understanding of statistical methods to enable appropriate interpretation of results
• Experience analyzing programs through the lens of client requirements and design optimal solutions for fulfilling those requirements.
• Conceptual thinking and ability to find innovative ways to solve analytical problems
• Should have worked on multiple analytics consulting and implementation projects
• Skills & Qualifications Required
• Minimum 8-10 years of experience in advanced analytics and machine learning space with at least 4-6 years of experience in financial services.
• Advanced understanding and hands-on experience in SQL and at least one of R or Python. Basic exposure to other statistical packages such as R, Python and SAS.
• Deep understanding of predictive algorithms such as logistic regression, linear regression, decision trees, random forest, xgboost, SVM etc. and clustering algorithms such as k-means, k nearest neighbour, hierarchical etc.
• Hands on experience in NLP and deep understanding of text analytics algorithms and modelling workflow
• Good knowledge of neural networks, deep learning, RNN, CNN, LSTM etc,
• Working knowledge of big data environment setups such as Spark, PySpark, Hive, Hadoop etc.
• Advanced understanding of Cloud (AWS, Azure, etc.) and good exposure to Azure/AWS machine learning workbench and MLOps workflow.
• Excellent verbal and written communication skills.
• Experienced in creating power point presentations, dashboards, solving complicated client problems and communicating the precise insights.
• Strong organizational skills & the ability to prioritize and work on projects with great efficiency & attention to the details.
• Minimum qualification - B.E; MBA is preferred (with at least 5 years of exp. post MBA)