Data Scientist Senior Associate - Operate

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.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  
  

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

• 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.
• 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.
• Data Visualization and Communication:
• Create compelling visualizations using Tableau to convey data insights.
• Present findings to stakeholders and provide actionable recommendations.
• 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.
• Research And Innovation
• Stay up-to-date with emerging data science trends and technologies.
• Explore new techniques and tools to enhance data science capabilities.
  
  

Mandatory Skills

• Proficiency in Python, R, SQL, TensorFlow, and PyTorch.
• Experience with time series analysis, predictive modeling, classification, and regression.
• Familiarity with Spark, Databricks, or cloud platforms like Azure/AWS.
• Expertise in creating visualizations with Tableau to convey data insights.
  
  

Good To Have Skills

• Interest in exploring new data science trends and technologies.
• Experience working with cross-functional teams to develop data-driven solutions.