PWC Hiring for Data Science – Gen AI – Freshers / Experienced

Job Description & Summary

A role within Data and Analytics services offers the chance to help organizations unlock enterprise insights and achieve business outcomes by leveraging advanced data analytics. We focus on enhancing organizational technology capabilities such as business intelligence, data management, and data assurance, which empower our clients to innovate, grow, and adapt to the ever-evolving landscape of customer needs and technological advancements. By combining human insight with machine intelligence, we make informed decisions, manage risks, and enable our clients to gain a competitive advantage.

As a member of the Analytics and Insights Consumption team, you will analyze data to generate valuable insights that address key business challenges or drive strategic decisions for our clients. This involves using visualization, statistical and analytics models, AI/ML techniques, ModelOps, and other advanced methods to develop these insights. To remain relevant and forward-thinking in a constantly changing environment, everyone at PwC is expected to be a purpose-driven and values-oriented leader at all levels. The PwC Professional framework, our global leadership development model, provides a unified set of expectations across roles, regions, and career paths, ensuring clarity on the skills required for individual success and career progression, both now and in the future.

As an Associate, you will collaborate with a team of problem solvers, tackling complex business issues from strategy to execution. The skills and responsibilities for this management level at PwC include, but are not limited to:

• Providing timely, constructive feedback.
• Effectively sharing and collaborating with others.
• Identifying and suggesting improvements when challenges or opportunities arise.
• Handling, analyzing, and managing data responsibly.
• Adhering to risk management and compliance procedures.
• Staying current with developments in your area of expertise.
• Communicating clearly and confidently, both verbally and in written materials.
• Building and maintaining a network of internal and external contacts.
• Seeking opportunities to learn about PwC’s global network of firms.
• Upholding the firm’s code of ethics and business conduct.

Job Description: GenAI Data Scientist – Associate (PwC US AC)

PwC US – Acceleration Center is looking for an emerging GenAI Data Scientist to join our team at the Associate level. This role offers an exciting opportunity to contribute to the development and implementation of machine learning models and algorithms for GenAI projects. The ideal candidate should have a foundational understanding of data science, with an interest in GenAI technologies, and be familiar with statistical analysis, machine learning, data visualization, and basic programming.

Responsibilities:

• Assist cross-functional teams in gathering business requirements and identifying opportunities to apply GenAI technologies.
• Support the development and implementation of machine learning models and algorithms under the guidance of senior data scientists.
• Participate in data cleaning, preprocessing, and feature engineering to prepare data for analysis.
• Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines.
• Help validate and evaluate model performance using standard metrics and techniques.
• Contribute to the development and deployment of machine learning applications and solutions.
• Utilize basic object-oriented programming skills to assist in building software components.
• Gain experience with Kubernetes for container orchestration and deployment.
• Assist in designing and building chatbots using GenAI technologies.
• Communicate findings and insights to stakeholders through basic data visualizations and reports.
• Stay updated on the latest advancements in GenAI technologies and contribute to discussions on innovative solutions to enhance data science processes.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• 1-3 years of relevant experience, ideally with exposure to GenAI projects.
• Proficient programming skills in Python, R, or Scala.
• Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Basic experience with data preprocessing, feature engineering, and data wrangling techniques.
• Understanding of statistical analysis and experimental design.
• Awareness of cloud computing platforms such as AWS, Azure, or Google Cloud.
• Some knowledge of data visualization tools and techniques.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Ability to thrive in a fast-paced and dynamic environment.

Preferred Qualifications:

• Some experience with object-oriented programming languages such as Java, C++, or C#.
• Exposure to developing or assisting in the deployment of machine learning applications.
• Basic understanding of data privacy and compliance issues.

Nice to Have Skills:

• Exposure to Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
• Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel.
• Interest in chatbot design and development.

Job Location:- Bengaluru, India

Salary Package:- As per Company Standards

Apply Link:- Click Here To Apply (Apply before the link expires)