AI & GenAI Data Scientist-Senior Associate

As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable., Designing and implementing AI systems to transform raw data into actionable insights

• Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
• Collaborating with clients to understand their data needs and deliver tailored solutions
• Utilizing programming languages such as Python and C++ to build robust data models
• Managing data pipelines and confirming data quality and integration across platforms
• Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
• Conducting complex data analysis to inform strategic decision-making
• Leveraging natural language processing and text analytics for innovative AI applications
• Building and maintaining data infrastructure to support AI-driven automation
• Mentoring junior team members and fostering a collaborative work environment

As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow., At least a Bachelor's degree

• At least 2 years of experience

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
• At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
• Demonstrating proficiency in AI implementation and machine learning libraries
• Utilizing Python for complex data analysis and modeling

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ;br>

PwC provides services to 420 out of 500 Fortune 500 companies. The firm was formed in 1998 by a merger between Coopers & Lybrand and Price Waterhouse.