Data Scientist - Senior Associate

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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

PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming.

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies.
• Develop and implement machine learning models and algorithms for GenAI projects.
• Perform 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.
• Validate and evaluate model performance using appropriate metrics and techniques.
• Develop and deploy production-ready machine learning applications and solutions.
• Utilize object-oriented programming skills to build robust and scalable software components.
• Utilize Kubernetes for container orchestration and deployment.
• Design and build chatbots using GenAI technologies.
• Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.
• Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes.
  
  

Requirements:

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.
• 3-5 years of relevant technical/technology experience, with a focus on GenAI projects.
• Strong programming skills in languages such as Python, R, or Scala.
• Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and data wrangling techniques.
• Solid understanding of statistical analysis, hypothesis testing, and experimental design.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data visualization tools and techniques.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced and dynamic environment.
  
  

Preferred Qualifications:

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute
• Experience with object-oriented programming languages such as Java, C++, or C#.
• Experience with developing and deploying machine learning applications in production environments.
• Understanding of data privacy and compliance regulations.
• Relevant certifications in data science or GenAI technologies.
  
  

Nice To Have Skills:

• Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock.
• Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc.
• Experience in chatbot design and development.
  
  

If you are passionate about GenAI technologies and have a proven track record in data science, join PwC US - Acceleration Center and be part of a dynamic team that is shaping the future of GenAI solutions. We offer a collaborative and innovative work environment where you can make a significant impact..

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data Engineering team you will develop and implement machine learning models for GenAI projects, collaborating with cross-functional teams to drive innovation. As a Senior Associate, you will analyze complex data challenges, mentor junior team members, and contribute to impactful projects that shape the future of GenAI technologies. This position offers a chance to enhance your technical knowledge and personal brand in a dynamic environment.

Responsibilities

• Develop and implement machine learning models for GenAI projects
• Collaborate with cross-functional teams to drive innovation
• Analyze complex data challenges to inform project direction
• Mentor junior team members to enhance their skills
• Contribute to impactful projects shaping the future of GenAI
• Enhance technical knowledge in data engineering and analytics
• Foster a collaborative and innovative work environment
• Drive continuous improvement in project outcomes
  
  

What You Must Have

• Bachelors Degree
• 4 years of experience in data science with a focus on GenAI projects
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Masters Degree in Data Science, Computer Science, Statistics preferred
• Relevant certifications in data science or GenAI technologies
• Excelling in programming with Python, R, or Scala
• Proficiency in machine learning libraries like TensorFlow and PyTorch
• Understanding of data privacy and compliance regulations
• Experience in developing and deploying machine learning applications
• Familiarity with cloud computing platforms like AWS or Azure
• Knowledge of data visualization tools and techniques
• Experience with chatbot design and development

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