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PwC is hiring for a Data Scientist


Position: GenAI Data Scientist - Associate

Company: PwC US - Acceleration Center

Location:

  • Bangalore

  • Hyderabad

Job Type: Full time

Job Mode: On-site

Job Requisition ID: 525888WD

Years of Experience: 1-3 years


Company Description

  • Global Presence: PwC US - Acceleration Center (AC) is part of the PwC network, a global leader in professional services.
  • Focus Areas: Specializes in delivering high-quality advisory, audit, and tax services.
  • Innovation: Committed to driving business results through innovative data analytics and artificial intelligence.
  • Clientele: Works with a diverse range of clients, from multinational corporations to startups, across various industries.
  • Values: Upholds a strong code of ethics and business conduct, fostering a collaborative and inclusive work environment.
  • Opportunities: Provides employees with numerous opportunities for growth, learning, and career advancement through a global network of firms.

Profile Overview

  • Role Objective: Contribute to the development and implementation of machine learning models and algorithms for GenAI projects.
  • Team Integration: Work as part of a cross-functional team, collaborating with senior data scientists and data engineers.
  • Data Handling: Engage in data cleaning, preprocessing, and feature engineering to prepare data for analysis.
  • Technology Utilization: Utilize tools such as Kubernetes for container orchestration and deployment, and assist in building chatbots using GenAI technologies.
  • Communication: Present findings and insights to stakeholders through data visualizations and reports.
  • Continuous Learning: Stay updated with the latest advancements in GenAI technologies and contribute to innovative solutions.

Qualifications

  • Education: Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Experience: 1-3 years of relevant experience, with exposure to GenAI projects.
  • Programming Skills: Proficiency in Python, R, or Scala.
  • Machine Learning: Familiarity with libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Data Skills: Experience with data preprocessing, feature engineering, and data wrangling techniques.
  • Statistical Analysis: Understanding of statistical analysis and experimental design.
  • Cloud Platforms: Awareness of AWS, Azure, or Google Cloud.
  • Visualization Tools: Basic knowledge of data visualization tools and techniques.
  • Soft Skills: Strong problem-solving and analytical skills, good communication, and teamwork abilities.
  • Adaptability: Ability to thrive in a fast-paced and dynamic environment.

Any Additional Info

  • Preferred Skills:

    • 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:

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

Responsibilities

  • Requirement Gathering: Assist cross-functional teams in gathering business requirements and identifying opportunities for applying GenAI technologies.
  • Model Development: Support the development and implementation of machine learning models and algorithms under the guidance of senior data scientists.
  • Data Preparation: Participate in data cleaning, preprocessing, and feature engineering to prepare data for analysis.
  • Collaboration: Work closely with data engineers to facilitate efficient data processing and integration into machine learning pipelines.
  • Model Evaluation: Help validate and evaluate model performance using standard metrics and techniques.
  • Application Deployment: Contribute to the development and deployment of machine learning applications and solutions.
  • Programming Support: Utilize basic object-oriented programming skills to assist in building software components.
  • Kubernetes Utilization: Gain experience with Kubernetes for container orchestration and deployment.
  • Chatbot Design: Assist in designing and building chatbots using GenAI technologies.
  • Stakeholder Communication: Help communicate findings and insights to stakeholders through basic data visualizations and reports.
  • Innovation Contribution: Keep abreast of the latest advancements in GenAI technologies and contribute to discussions on innovative solutions to enhance data science processes.

About Us

  • Career Opportunities: At PwC US - Acceleration Center, opportunities for personal and professional growth are central to our mission.
  • Global Network: Be part of a global network of firms, offering a diverse range of experiences and perspectives.
  • Supportive Environment: Work in a supportive and collaborative environment that values people, quality, and innovation.
  • Ethical Standards: Uphold a strong code of ethics and business conduct, ensuring a professional and respectful workplace.
  • Learning and Development: Access to PwC Professional; our global leadership development framework, providing the skills needed to succeed and progress in your career.
  • Impactful Work: Engage in work that makes a meaningful impact, helping clients drive innovation, growth, and change within their organizations.

Join PwC US - Acceleration Center as an Associate GenAI Data Scientist and start your career in a role that offers significant opportunities for growth and development in the field of GenAI. We provide a collaborative and innovative work environment where you can learn from industry experts and make a meaningful impact.

Please click here to apply.

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