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Senior 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 decisionmaking and driving business growth.Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
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 crossfunctional 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 productionready machine learning applications and solutions.
Utilize objectoriented 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 uptodate 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.
35 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 scikitlearn.
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 problemsolving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work in a fastpaced and dynamic environment.
Preferred Qualifications:
Experience with objectoriented 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.
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 Analytical Thinking C Programming Language Communication Complex Data Analysis Creativity Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Embracing Change Emotional Regulation Empathy GPU Programming Inclusion Intellectual Curiosity Java (Programming Language) Learning Agility Machine Learning 25 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Full-Time