Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Advisory - OtherManagement Level
AssociateJob Description & Summary
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.Years of Experience: Candidates with 2+ years of hands on experience
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:
- 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:
- 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.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date