# Manager at PwC

PwC is hiring a Manager. Level rates it Builds AI ●●●●; you can [apply on PwC](https://jobsbylevel.com/go/8f593e03-7674-42e6-be33-797eb7284f16?utm_medium=ai-agent).

AI Level 4, AI centrality 88 out of 100. Mumbai Shivaji Park.

## Details

- Company: [PwC](https://jobsbylevel.com/companies/pwc)
- AI level: AI Level 4 (score 88 out of 100)
- Location: Mumbai Shivaji Park
- Posted: March 19, 2024
- Apply: https://jobsbylevel.com/go/8f593e03-7674-42e6-be33-797eb7284f16?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=manager-at-pwc-2e07aa

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## Description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary 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. Job Description: Machine Learning Analytics Manager (BFSI) We are seeking a highly skilled and experienced Machine Learning Analytics Manager with a minimum of 6 years of relevant experience, preferably in the BFSI (Banking, Financial Services, and Insurance) industry. As a Machine Learning Analytics Manager, you will play a key role in leading our data analytics team and driving innovative solutions using machine learning techniques. Responsibilities:  Team Leadership: Lead and mentor a team of data scientists, analysts, and machine learning engineers to deliver impactful data-driven insights and solutions. Provide guidance and support in problem-solving, algorithm development, and model evaluation.  Machine Learning Strategy: Collaborate with cross-functional teams to identify and prioritize business challenges that can be addressed through machine learning and data analytics. Develop a comprehensive machine learning strategy aligned with the company's objectives.  Model Development: Oversee the development of machine learning models and algorithms, including supervised and unsupervised learning methods, regression models, neural networks, and decision trees.  Data Analysis: Conduct exploratory data analysis to understand underlying patterns, trends, and opportunities in large and complex datasets related to BFSI operations.  Model Deployment: Drive the integration of machine learning models into production systems, ensuring scalability, efficiency, and accuracy in real-world applications.  Risk Analysis: Utilize machine learning techniques to assess and mitigate risks in the BFSI domain, including credit risk, fraud detection, and market risk.  Performance Monitoring: Implement monitoring mechanisms to track model performance and provide continuous improvement to ensure the models' effectiveness over time.  Collaborative Projects: Collaborate with cross-functional teams, including product managers, business analysts, and IT professionals, to design and implement data- driven solutions for various business use cases.  Industry Trends: Stay updated with the latest developments and best practices in machine learning, data analytics, and the BFSI industry, and incorporate relevant advancements into the team's projects. Requirements:  Master's degree in Computer Science, Statistics, Mathematics, or a related field.  6+ years of hands-on experience in machine learning and data analytics, with a significant focus on BFSI applications.  Proficiency in programming languages such as Pyspark, Python or R, experience working with data visualization tools, Azure, AWS, GCP (any one cloud solution)  Extensive knowledge of machine learning algorithms and techniques, including supervised and unsupervised

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