Generative AI- Data Scientist-Senior Associate
Generative AI- Data Scientist-Senior Associate
Posted on :
24-07-2025
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1 Vacancy
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Job Description
Industry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.
Years of Experience: Candidates with 4 years of hands on experience
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 product engineering and domain experts to identify high-impact GenAI opportunities and create actionable road maps.
- Design build and iterate on GenAI and Agentic AI solutions end-to-end encompassing agent architecture and orchestration tool and memory integration goal-directed planning and execution analytical model development prompt engineering robust testing CI/CD and full-stack integration.
- Process structured and unstructured data for LLM workflows by applying vectorization and embedding intelligent chunking RAG pipelines generative SQL creation and validation scalable connectors for databases and APIs and rigorous data-quality checks.
- Validate and evaluate models RAGs and agents through quantitative and qualitative metrics perform error analysis and drive continuous performance tuning.
- Containerize and deploy production workloads on Kubernetes and leading cloud platforms (Azure AWS GCP).
- Communicate findings and insights via dashboards visualizations technical reports and executive-level presentations.
- Stay current with GenAI advancements and champion innovative practices across the organization.
Requirements:
- Bachelors or Masters degree in Computer Science Data Science Statistics or a related field.
- 1-2 years of hands-on experience delivering GenAI solutions complemented by 3-5 years of deploying machine learning solutions in production environments.
- Strong proficiency in Python including object-oriented programming (OOP) with additional experience in R or Scala valued.
- Proven experience with vector stores and search technologies (e.g. FAISS pgvector Azure AI Search AWS OpenSearch).
- Experience with LLM-backed agent frameworks including LangChain LangGraph AutoGen and CrewAI as well as RAG patterns.
- Expertise in data preprocessing feature engineering and statistical experimentation.
- Competence with cloud services across Azure AWS or Google Cloud including Kubernetes and Docker.
- Solid grasp of Git workflows automated testing (unit integration end-to-end) and CI/CD pipelines.
- Proficiency in data visualization and storytelling for both technical and non-technical audiences.
- Strong problem-solving skills collaborative mindset and ability to thrive in a fast-paced environment.
Nice to Have Skills:
- Relevant certifications in GenAI tools and technologies.
- Hands-on experience with leading agent orchestration platforms such as Agentspace (Google) Agentforce (Salesforce) and Mosaic AI (Databricks).
- Proven experience in chatbot design and development including conversational flow intent recognition and backend integration.
- Practical knowledge of ML/DL frameworks such as TensorFlow PyTorch and scikit-learn.
- Proficient in object-oriented programming with languages such as Java C or C#.
Professional and Educational Background:
BE / / MCA / / M.E / / MBA/ Any Degree
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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