Manager

PwC India

Mumbai

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 learning, time series analysis, and natural language

processing.

 Strong leadership and team management skills, with the ability to drive projects and

collaborate effectively with cross-functional teams and stakeholder management.

 Demonstrated expertise in deploying machine learning models in real-world

applications, preferably in the BFSI industry. Excellent problem-solving and

analytical skills, with a data-driven approach to decision-making.

 Strong communication skills, both written and verbal, to present complex technical

concepts to non-technical stakeholders

Mandatory Skills: Machine Learning

Preferred Skills: Machine Learning

Years of Experience: 8-10

Qualifications: BTech

Required Skills

Machine Learning

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date