Lead Data Scientist

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Job Title : Data Scientist - Manufacturing Data Solutions Level :

Senior Associate Department

Advanced Analytics & Data Science Role Summary :

As a Data Scientist focused on Manufacturing Data Solutions, you will leverage advanced analytical techniques and machine learning algorithms to transform data into strategic insights that drive business innovation and growth. Your expertise in predictive modeling and statistical analysis will enable you to identify patterns and trends, providing data-driven solutions to complex business challenges. You will create impactful visualizations using tools like Tableau to communicate findings clearly to stakeholders. Key Responsibilities :

1. Predictive Modeling and Analysis :

• Develop predictive models using advanced statistical and machine learning techniques. - Conduct time series analysis, classification, and regression to support business objectives. 2. Data Processing and Integration :
• Utilize Spark, Databricks, or cloud platforms like Azure / AWS for data processing. - Ensure seamless data flow from various sources into analytical models. 3. Data Visualization and Communication :
• Create compelling visualizations using Tableau to convey data insights. - Present findings to stakeholders and provide actionable recommendations. 4. Collaboration and Solution Development :
• Work with cross-functional teams to identify business challenges and develop data-driven solutions. - Lead projects to implement innovative data science methodologies. 5

Research and Innovation :