Data Science - Manager

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Data Science - Manager, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will focus on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.

In this role at PwC Acceleration Center India, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will develop skills outside your comfort zone and encourage others to do the same, while effectively mentoring team members. By embracing technology and innovation, you will enhance your delivery and encourage others to do the same, contributing to the success of our firm.

Responsibilities

- Leading data science initiatives to transform raw data into actionable insights for informed decision-making
- Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
- Developing and implementing data-driven strategies to enhance business growth and performance
- Utilizing machine learning and artificial intelligence tools to create predictive models and data visualizations
- Overseeing the design and development of robust data solutions, confirming data quality and integrity
- Collaborating with cross-functional teams to identify opportunities for data utilization and innovation
- Mentoring team members to leverage their strengths and develop their skills in data science and analytics
- Managing project timelines and deliverables to meet client expectations and drive successful outcomes
- Encouraging the adoption of innovative technologies and methodologies within data science teams
- Addressing challenges and conflicts with clients and stakeholders, fostering a collaborative work environment

What You Must Have

- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required

- Strong supply chain domain knowledge (inventory planning, demand forecasting, logistics)

- Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage

-Proficiency in forecasting techniques (e.g., Holt

-Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised)

-Experience using at least one major cloud platform (AWS, Azure, GCP), such a

What Sets You Apart

- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing advanced machine learning techniques for predictive modeling
- Excelling in complex data analysis and data-driven decision making
- Leveraging programming languages such as Python, R, and MATLAB
- Managing data pipelines and confirming data quality in large datasets
- Embracing innovation and technology to enhance client solutions

Travel Requirements

Not Specified

Job Posting End Date